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1
Veltman, Mark, Robert Kooij, and Sebastian Marban. "Sales Bottlenecks And Their Effect On Profit." Journal of Applied Business Research (JABR) 30, no. 6 (2014): 1725. http://dx.doi.org/10.19030/jabr.v30i6.8889.
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This study introduces the term sales bottleneck, defined as a stage in a total production or service delivery process that limits sales. After analyzing the suitability of traditional methods to find sales bottlenecks, the study proposes the bottleneck accounting model as a method to determine sales bottlenecks and calculate the effect of each of these bottlenecks on profit. Analytical verification shows that this method finds all sales bottlenecks and determines the exact effect on profit. Finally, the methods effectiveness is tested in practice by means of a case study performed within the Rabobank.
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Pekarcikova, Miriam, Peter Trebuna, Marek Kliment, and Michal Dic. "Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software." Sustainability 13, no. 14 (2021): 7989. http://dx.doi.org/10.3390/su13147989.
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The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.
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Lee-Post, Anita. "Developing numeracy and problem-solving skills by overcoming learning bottlenecks." Journal of Applied Research in Higher Education 11, no. 3 (2019): 398–414. http://dx.doi.org/10.1108/jarhe-03-2018-0049.
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Purpose The purpose of this paper is to present an educational approach to elevating problem-solving and numeracy competencies of business undergraduates to meet workplace demand. The approach is grounded in the theory of constraints following the Decoding the Discipline model. The authors investigated a cognitive bottleneck involving problem modeling and an affective bottleneck concerning low self-efficacy of numeracy and designed specific interventions to address both bottlenecks simultaneously. The authors implemented the proposed approach in an introductory level analytics course in business operations. Design/methodology/approach The authors use an empirical study to evaluate the effectiveness of the proposed approach in addressing deficiency in numeracy and problem-solving skills. Cognitive and affective learning interventions were introduced in an undergraduate core course in analytics. The perceived effectiveness of the interventions was evaluated with the use of a survey at the end of the course. To further investigate the effectiveness of the proposed interventions beyond self-reporting, the impact of the interventions on actual learning was evaluated by comparing the exam scores between classes with and without the interventions. Findings Students who underwent the interventions successfully overcame both learning bottlenecks and indicated a positive change in attitude toward the analytics discipline as well as achieved higher exam scores in the analytics course. Research limitations/implications This study succeeds in strengthening the body of research in teaching and learning. The authors also offer a holistic treatment of cognitive and affective learning bottlenecks, and provide empirical evidence to support the effectiveness of the proposed approach in elevating numeracy and problem-solving competencies of business undergraduates. Practical implications The proposed approach is useful for business educators to improve business students’ quantitative modeling skill and attitude. Researchers can also extend the approach to other courses and settings to build up the body of research in learning and skill development. Educational policy makers may consider promoting promising approaches to improve students’ quantitative skill development. They can also set a high standard for higher education institutions to assess students’ numeracy and problem-solving competencies. Employers will find college graduates bring to their initial positions the high levels of numeracy and problem-solving skills demanded for knowledge work to sustain business growth and innovation. Social implications As students’ numeracy and problem-solving skills are raised, they will develop an aptitude for quantitative-oriented coursework that equips them with the set of quantitative information-processing skills needed to succeed in the twenty-first century society and global economy. Originality/value The proposed approach provides a goal-oriented three-step process to improve learning by overcoming learning bottlenecks as constraints of a learning process. The integral focus on identifying learning bottlenecks, creating learning interventions and assessing learning outcomes in the proposed approach is instrumental in introducing manageable interventions to address challenges in student learning thereby elevating students’ numeracy and problem-solving competencies.
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Mohapeloa, Tshidi. "Effects of silo mentality on corporate ITC’s business model." Proceedings of the International Conference on Business Excellence 11, no. 1 (2017): 1009–19. http://dx.doi.org/10.1515/picbe-2017-0105.
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Abstract Background & orientation: The existence of silo mentality has direct effect on the business model used by any ITC company. Its contribution slows service delivery whilst increasing customer’s despondency. However mitigation could help overcome barriers within divisions, improve customer experience and increase productivity. But when different units as components of a company fail to integrate, collaborate and work together to achieve a common objective goal, not only are performances affected but also operations at all levels. A business model canvas can help determine how a company intends to create value for customers whilst it makes money. Thus deliverance of an effective value proposition for efficient customer needs, can be affected through silos. Purpose: This study explore the effects of silo mentality within an ITC company (at organisational level) using the 9 elements of the business model canvas as framework. Methodology and research questions: As an exploratory study qualitative methods were used where in-depth interview questions looked at how silo mentality within the organisation affects the core business model elements and why. Twelve participants were selected from an enterprise business unit through a convenience sampling method. Content analysis helped with the development of core themes that looked at the how silos affect each element (process) and why (meaning). Findings: Silo mentality affects not only the individuals but team, products, value proposition, relations with partners, customers, stakeholders. Thus undermines internal capabilities and key resources. Absence of teamwork within the divisions leads to conflicts which delays achievements of common goals. Bottlenecks affect inter-divisional progress and relations, customer output and relations and compromise the quality of service. Implications: Silo mentality is a bottleneck that not only weakens firms’ capabilities and growth potential but destroys any value created by the firm.
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Petrenko, O., N. Valyavska, and M. Yurchenko. "OPTIMIZATION OF BUSINESS PROCESS MANAGEMENT AT SHIPBUILDING AND SHIP REPAIR PLANTS." Slovak international scientific journal, no. 64 (June 6, 2022): 11–14. https://doi.org/10.5281/zenodo.6616012.
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The article considers methods of optimization of business process management to improve the performance of shipbuilding and ship repair plants. To eliminate "bottlenecks" in the work of enterprises, it is proposed to redesign business processes through reengineering, which will introduce better quality processes, significantly reduce production costs, increase productivity and reduce production time. As a result of the built management model, changes are possible that will make the activities of shipbuilding and ship repair plants more competitive.
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Liu, Jiaxin. "Industrial Transformation in Hebei Province of China." Highlights in Business, Economics and Management 21 (December 12, 2023): 523–28. http://dx.doi.org/10.54097/hbem.v21i.14545.
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Industrial transformation and upgrading are the main themes of the economy nowadays. However, in the present development, industrial transformation in many districts has encountered bottlenecks. This paper pointed out the problems of industrial transformation in the Hebei province of China and analyzed in depth the causes of the bottleneck of industrial transformation in Hebei. The main reasons were insufficient marketization, brain drain, and insufficient innovation. Based on each of these causes, Hebei should increase marketization, deal with the relationship between the government and the market, increase the Private-Public-Partnership business model, improve the social security mechanism for talents, invest in the education industry, increase the investment in research and innovation, establish a complete innovation ecosystem, and build an economic environment conducive to breaking the bottleneck of industrial transformation.
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Moshchenko, I. O., and O. M. Nikitenko. "VALUE STREAM MAP OPTIMIZATION MODEL IN THE FIELD OF EDUCATIONAL SERVICES." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì, no. 2(23) (2023): 6–15. http://dx.doi.org/10.32684/2412-5288-2023-2-23-6-15.
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The relevance of the implementation the Lean Production quality management model in higher education institutions (HEIs) in Ukraine has been proven to optimize the stream of HEIs business processes in order to improve the quality of functioning of HEI as an economic activity subject and increase the competitiveness of educational services, scientific and educational products. The modern approaches of scientists to the Lean Higher Education and the construction of a process model of activity and the identification of key business processes of HEIs are analyzed. The purpose of the article is to develop the optimization model for the stream of business processes based on Lean technologies and to apply the model to visualize and optimize the key process of business process at the Kharkiv National University of Radio Electronics (NURE). A DFD model of the optimization process of the Value Stream Map (VMS) - a quality management tool created within the framework of the Lean methodology for process stream analysis - was developed. The model optimization criteria are proposed. During the development of the map optimization model, the peculiarities of the result of the HEI activity, which is a combination of educational service, educational and scientific product, were taken into account. The practical significance of the article lies in the study of the HEI key process "Development of educational and methodological support of the educational process". Decomposition of the main process was carried out. The second and third levels processes for the value stream mapping was distinguished. The current state VSM of the process "Development of educational and methodological support of the educational process" was developed, the indicators of the effectiveness of the value stream at the department of information and measurement technologies of the NURE were calculated, the "bottlenecks" of the stream were analyzed. Measures to optimize "bottlenecks" based on the criterion of minimizing time are proposed. Prospects for further research in the chosen direction are determined as the implementation of Lean technologies in the activities of HEIs are the development and optimization of VSM for all key processes of HEIs.
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Prabhu, Aruna, K. Raghunandana, and P. Yogesh Pai. "Workload Control in Flow Shops with Bottleneck Shifting and Process Time Variability." Production Engineering Archives 30, no. 1 (2024): 48–56. http://dx.doi.org/10.30657/pea.2024.30.4.
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Abstract Manufacturing industries struggle to devise precise planning and scheduling solutions due to unpredictable business situations. Additionally, uncertainties in production such as machine breakdowns, labour absenteeism, cycle time deviations, etc., would further deteriorate production plans and lead to uncertainty in decision-making processes. Flow shops with bottlenecks are particularly susceptible to these disturbances. Moreover, the random variations in cycle time variations can cause the bottleneck to shift between different stages. Literature indicates that conventional job release methods are ineffective in addressing these difficulties. In contrast, workload control methods would provide better solutions. Hence, a flow shop model has been developed and simulated using the variables like process time variations and bottleneck shifting on the discrete-event simulation software. The flow shop model incorporates realistic shop characteristics which are subjected to random process time variations, so as to assess the performance. The outcomes of the experimentation demonstrate that order release methods play a pivotal role in improving the performance of flow shops in more volatile situations.
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Vera Paz, Valentina, Anyi Aracely Ramírez Obando, and Carlos Cobos Lozada. "Generic Services Model for the Automatic Improvement of Business Processes." Inge CuC 18, no. 2 (2022): 71–88. http://dx.doi.org/10.17981/ingecuc.18.2.2022.06.
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Introduction: Organizations require more productivity and efficiency in their business processes every day. Currently, various tools provide support to optimize time and resources according to the complexity of the activities of the business processes. However, by automating processes, few companies can define a successful workflow, thus failing to anticipate the difficulties in a production environment. Consequently, it is impossible to provide an early solution to problems, which implies cost overruns, loss of time, and in some cases, affectation of the organization's human talent. Objective: This article presents a generic service model for the automatic improvement of business processes that allows identifying bottlenecks, reprocesses, failures, and delays when analyzing the event logs of a business process. It also summarizes the implementation of the bottleneck management service to support decision-making in a simulated process, applying regression models to predict the performance of manual process activities based on delays and queue lengths. By predicting performance and making resource allocation suggestions, the level of process improvement was determined. Method: The research was conducted following the Iterative Research Pattern proposed by Pratt. First, the main problems in process management were identified, then a review of the state of the art was carried out to find out the proposed solutions to these problems. A solution model independent of the process management software used was proposed, and finally, two evaluations were carried out, one at a conceptual level with the focus group technique and the other based on the implementation of one of the proposed services and data collected from an experiment in a business process simulator. Results: The conceptual evaluation of the services proposed in the model was conducted by a group of experts, based on the design and content guidelines of the BPMN modeling nomenclature standard, giving a rating of 4.8 out of 5.0 for each service. Experimentation with the business process simulator and the recommendations provided by the implemented service (bottleneck management) made it possible to evaluate the reduction in the processing time of the instances of a process in relation to the added resources. Conclusions: The proposed model is composed of three main services, bottleneck management, resource management, and input management. The first service helps to establish the corrective measures so that the process flows and the instances of this do not get stuck in specific tasks or activities, which helps to improve the response time and the quality of the service. Resource management seeks to optimize the execution time of manual activities and input management seeks to ensure that an instance of the process has the data and documents required to be processed from start to finish, avoiding reprocessing and improving the quality of the data received and processed.
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Zhao, Yuancheng, Qingjin Peng, Trevor Strome, Erin Weldon, Michael Zhang, and Alecs Chochinov. "Bottleneck detection for improvement of Emergency Department efficiency." Business Process Management Journal 21, no. 3 (2015): 564–85. http://dx.doi.org/10.1108/bpmj-06-2014-0060.
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Purpose – The purpose of this paper is to introduce a method of the bottleneck detection for Emergency Department (ED) improvement using benchmarking and design of experiments (DOE) in simulation model. Design/methodology/approach – Four procedures of treatments are used to represent ED activities of the patient flow. Simulation modeling is applied as a cost-effective tool to analyze the ED operation. Benchmarking provides the achievable goal for the improvement. DOE speeds up the process of bottleneck search. Findings – It is identified that the long waiting time is accumulated by previous arrival patients waiting for treatment in the ED. Comparing the processing time of each treatment procedure with the benchmark reveals that increasing the treatment time mainly happens in treatment in progress and emergency room holding (ERH) procedures. It also indicates that the to be admitted time caused by the transfer delay is a common case. Research limitations/implications – The current research is conducted in the ED only. Activities in the ERH require a close cooperation of several medical teams to complete patients’ condition evaluations. The current model may be extended to the related medical units to improve the model detail. Practical implications – ED overcrowding is an increasingly significant public healthcare problem. Bottlenecks that affect ED overcrowding have to be detected to improve the patient flow. Originality/value – Integration of benchmarking and DOE in simulation modeling proposed in this research shows the promise in time-saving for bottleneck detection of ED operations.
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Bizerra, Rafael Cavalcanti, Alexandre Formigoni, Silvana De Faria, and Jacqueline Patricia Borges. "Simulation With Arena: Optimization Of Delivery Times In Quick Commerce Of A Company In The Building Materials Sector." IOSR Journal of Humanities and Social Science 29, no. 11 (2024): 40–47. http://dx.doi.org/10.9790/0837-2911054047.
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Background: E-commerce is a business model that has been gaining a lot of ground in recent years because it offers customers greater convenience, making it possible to make a purchase from anywhere using an electronic device connected to the internet. Despite offering benefits not only to the customer, but also to companies, along with these advantages come problems related to the time it takes from purchase to delivery. The purpose of this article is to indicate the main complications faced in the process of preparing and delivering orders to meet the lead time proposed for the market and to present a solution to the bottleneck. Materials and Methods: The research used experimental and quantitative methodology, using the Arena platform to manipulate numerical data and test variable hypotheses by measuring the resulting effects. Results: In the end, we concluded that it is possible to meet the customer's expected preparation time without facing bottlenecks during the process. Conclusion: In this way, the Arena software contributes to the process optimization method, showing the bottlenecks and achieving the process objective, given that the company's goal was to reduce the total time it took for the order to pass through the system
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Pollack, G. A., A. G. Palei, and O. S. Buslaeva. "Optimization of the Production Preparation Process by Simulation Modeling Methods." Journal of Physics: Conference Series 2173, no. 1 (2022): 012076. http://dx.doi.org/10.1088/1742-6596/2173/1/012076.
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Abstract The article describes a stochastic multiphase multichannel queuing system with an unlimited input capacity for the coordination of commercial business deals in an industrial enterprise. To build the model, it is proposed a conceptual map was used. The model allows experiments in the virtual world to optimize the parameters of a real process. As a result of experiments on the model, “bottlenecks” were identified in the process of negotiating deals. Recommendations are proposed to reduce the coordination time, which allows increasing the number of agreed business deals by 3 times.
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Baldina, Julia, and Natalya Masyuk. "Organizational Business Model of State Franchising." SHS Web of Conferences 73 (2020): 01002. http://dx.doi.org/10.1051/shsconf/20207301002.
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The development of entrepreneurship in any country is inextricably linked with the participation of the state, without the intervention and support of which it is impossible to create a friendly institutional environment conducive to the development of entrepreneurial initiatives and entrepreneurial activity of the population. Small and medium entrepreneurship is the main driving force of the country's economic development throughout the world. The development strategy of the Russian Federation for 2018-2024 includes seven strategic priorities, some of which relate to the development of entrepreneurship and support for civic entrepreneurial initiative, the creation of a competitive economy in which government policy will be aimed at partnership with private business and reducing the direct participation of the state in the economy, and support of such socially important areas as health, education, social sphere, etc. In this connection, there is a need for s forms of the partnership of state and business structures in socially important sectors in order to attract small and medium-sized businesses. At the same time, a mechanism is needed to implement such a partnership, which should be based on a business model that will allow you to clearly understand the logical links and relationships. This paper describes the author's version of the configuration (template) of the business model of state franchising as a form of partnership between business and government. The basis is the canvas of the classic business models of Osterwalder-Pigneur and Ash Maurya. Special attention is paid to unfair (non-market) competitive advantage, which business receives. The described business model makes it possible to cover the partnership in general, concentrate on the main things, discover bottlenecks and interdependencies, contradictions and alternatives. Work within the framework of this business model gives a chance to significantly increase the efficiency of partners and to support socially significant areas of business.
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Fabianova, Jana, Jaroslava Janekova, and Jozef Horbulak. "SOLVING THE BOTTLENECK PROBLEM IN A WAREHOUSE USING SIMULATIONS." Acta logistica 8, no. 2 (2021): 107–16. http://dx.doi.org/10.22306/al.v8i2.209.
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The uneven workload distribution and working time utilisation create a bottleneck, leading to inefficient utilisation of capacity and increased costs. A bottleneck is a limiting and risk factor for any business entity. In the case of a distribution warehouse, the bottleneck limits its ability to meet the requirements for sending an order within the required time limit. Delays at any phase of a distribution process may result in non-compliance with customer requirements. In solving capacity problems and bottlenecks elimination, computer simulations and optimisation are often used. The article presents a basic simulation analysis of workload distribution and work times, useful for logistics companies, thus for the area of human and financial resources. In the article, the use of simulations in the ExtendSim9 program to eliminate the bottleneck is discussed. The bottleneck is solved by experiments on a simulation model when optimal workers assignment to individual workplaces of the warehouse is sought. The two final proposals for workers allocation, with the current and increased number of workers, are compared in workforce utilisation and system stability. The simulation method allows verification of the proposals' impacts in advance and practically with no financial costs.
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Alves, Carina, and Higor Monteiro. "Integrating Exploitative and Explorative Thinking in Business Process Analysis: A Conceptual Model and Method." Revista de Informática Teórica e Aplicada 28, no. 1 (2021): 47–62. http://dx.doi.org/10.22456/2175-2745.106891.
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Ambidextrous BPM has gained increasing interest from researchers and practitioners in the last years. It refers to the ability to use exploitative and explorative capabilities in BPM projects. In this paper, we investigate how the integration of exploitative and explorative ideas can leverage the analysis of business processes. The key contributions of this paper are a conceptual model and a method that integrate ambidextrous thinking in a complementary way. Both artefacts were evaluated by means of an expert opinion survey. We also present a case study at an organisation that has implemented our proposed method. We believe that ambidextrous analysis of business processes enables organisations tackling current operational bottlenecks while simultaneously exploring external opportunities for designing innovation in business processes.
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Morais, Teresa Maria Alves dos Santos, Lucineide de Lima Souza, Verônica dos Santos Veiga, Jefferson Fernando da Silva, and Daniel Nascimento-e-Silva. "INTEGRATING LOGISTICS PROCESSES INTO THE SERVICE OPERATIONS OF A HOME LAUNDRY IN THE CITY OF MANAUS, BRAZIL." Revista Multidisciplinar do Nordeste Mineiro 12, no. 1 (2025): 1–20. https://doi.org/10.61164/rmnm.v12i1.4228.
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This research aims to describe the integration of logistics processes with the service operations of a domestic laundry that operates in the city of Manaus. The methodology was a case study, whose data were collected through three sources of evidence (interview, observation and survey), to understand the business model implemented, the steps of the operations process used, the logistics procedures executed and the level of customer satisfaction, with the results generated from content analysis (interview and observation) and descriptive statistics (survey). The results showed that a) the business model is small, focused on individuals, with low operating costs and initial capital, b) the operations process is carried out in seven steps (collection, transfer, washing, drying, ironing, packaging and delivery), with some bottlenecks that can be solved with the acquisition of a specialized machine, c) the service logistics presents challenges in routing, scheduling and increasing customer satisfaction and d) customer satisfaction can be considered high, but can be improved. The conclusion reveals that the organization's logistics processes are integrated with its service operations; however, it is possible that this integration can be further enhanced by addressing the operational and logistics bottlenecks encountered.
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Permana, Muhammad Cekas, Anindya Prameswari, Agriva Detta Ginting, M. Rifadh Asjad, Barajati Syakurnia, and Rachmadita Andreswari. "Bottleneck and Resource Analysis on IT Help Desk with Process Mining." Journal of Information Technology and Computer Science 9, no. 1 (2024): 77–85. http://dx.doi.org/10.25126/jitecs.202491581.
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This study utilizes data from the help desk log of an Italian company to create a model of the company’s business processes. The primary objectives are to show the benefit of the implementation of process mining to identify bottleneck activites within the process and analyze the workload distribution among resources. The research reveals that the most common bottlenecks occur during the transition from ‘resolve tickets’ to ‘closed’ accounting for 99% of cases, and another activity from ‘assign seriousness’ towards ‘take in charge ticket’ experiences bottlenecks in 91% of cases. Furthermore, a decrease in the number of cases was discovered after October 2012. Prior to this period, the average number of cases per resource was high, leading to a high average number of active resources per day and average number of events per day. However, after October 2012, the average number of cases per resource decreased by approximately 74.6% to 47 cases per resource. The average number of active resources also decreased by 25% to 3 active resources per day. Additionally, the average number of events per resource decreased by 40% to 3 events per resource per day. Regarding the resource workload, the analysis reveals that ‘value 2’ has the highest workload, having worked on 4,235 events. This is followed by ‘value 5’ with 3,748 events, ‘value 1’ with 3,028 events, ‘value 9’ with 2,073 events, and ‘value 13’ with 1,420 events.
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Voit, Nikolai N. "THE INSTANCE OF ANALYTICAL MODEL FOR ORGANIZATION IN DESIGN WORKFLOWS." Автоматизация Процессов Управления 62, no. 4 (2020): 118–30. http://dx.doi.org/10.35752/1991-2927-2020-4-62-118-130.
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This paper describes an instance of the analytical model of project workflows on the example of the project approval procedure in the design and technological preparation of production, developed on the basis of data from a large radio engineering industrial organization. This instance helps a system analyst, including a design engineer, process engineer, and designer, in the field of business process management to identify system errors (for example, the location of deadlocks, bottlenecks, etc.) when analyzing the existing (synthesizing new) project work flows in the basis of graphic languages, for example, UMLlanguage, BPML-language, IDEF0-language, etc. This article is one of the follow-ups works on the methodology for processing design workflows in the basis of graphic languages.
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Lima, Ana Lucia Carvalho, Alessandra Cristina T. Silva, Isaque Moura de Holanda, Roberto Ramos de Morais, and Rafael Cavalcanti Bizerra. "Simulation with Arena: Optimization of Delivery Times in Quick Commerce of a Company in the Building Materials Sector." EnGeTec em Revista 1, no. 9 (2024): e408. https://doi.org/10.5281/zenodo.13367861.
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The e-commerce is a business model that has been gaining significant ground in recent years by providing greater convenience to customers, enabling them to make purchases from anywhere using an internet-connected electronic device. Despite offering benefits not only to customers but also to companies, along with these advantages come issues related to the time elapsed from purchase to delivery. The aim of this article is to highlight the main complications faced in the process of order preparation and delivery to meet the proposed lead time for the market and present a solution to the bottleneck. The research utilized experimental and quantitative methodology, using the Arena platform for the manipulation of numerical data and testing hypothesis variables measuring the resulting effects. In the end, the understanding is reached that it is possible to meet the expectations of the preparation time expected by the customer without facing bottlenecks during the process. Thus, the Arena software contributes to the process optimization, identifying bottleneck points and achieving the process goal, as the company's objective was to reduce the total time of order traversal in the system.
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Bucknell, Christopher, Alejandro Schmidt, Diego Cruz, and Juan Carlos Muñoz. "Identifying and Visualizing Congestion Bottlenecks with Automated Vehicle Location Systems." Transportation Research Record: Journal of the Transportation Research Board 2649, no. 1 (2017): 61–70. http://dx.doi.org/10.3141/2649-07.
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Monitoring speeds and identifying problem areas are essential for any public transport system because of the direct impact on its operating costs and on users’ travel time. This study generated a tool that identified, quantified, and displayed operational bottlenecks of bus operation in a city. The model was applied to the public transport system in Santiago, Chile, which faced a steady decline in operating speed. It was possible to identify locations with the most serious problems; this factor allowed transit authorities to focus their efforts on the areas that needed it the most. In addition, it was found that problems were concentrated in certain sectors of the city, including the central business district and intersections where the radial axis roads encountered the city’s central ring road. Once a problem is identified, it is essential to conduct site visits and combine the findings of this research with other sources of information to find the cause of the problem and propose solutions.
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Francesca, Larosa, and Mysiak Jaroslav. "Business models for climate services: An analysis." Climate Services 17, January 2020 (2019): 100–111. https://doi.org/10.1016/j.cliser.2019.100111.
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Climate services support mitigation and adaptation to climate change and encourage a science-based and climate-informed policy development. A performing market is vital for supporting uptake of climate services. The diffusion of innovations depends on how business models – meant as firms’ strategic choices to create, capture and share value within a value network – are employed. Innovation in business model, rather than product innovation only, has been proved useful for overcoming bottlenecks associated with development and diffusion of technologies. But only few studies have analysed how business models are used within the context of climate services. We fill this gap by using a sample of 32 climate services provisions at different stage of development. We use an original and revised version the Business Model Canvas as a framework to facilitate the data collection and analysis processes. A quali-quantitative approach is employed to tackle the content of the administered semi-structured interviews and to map them into a connected set of nodes representing concepts as provided by the selected informants. By combining Content and Network Analysis we present how business model aspects interact both within and across components. We find that the Value Network in which climate services operate is crucial for success, while a subscription, online-based infrastructure is a widespread tool in reaching the target users. The creation of partnerships and consortia of organisations allows mutual learning opportunities to happen and boosts the innovation behind these products. We focus on the graph giant component to highlight the role of co-creation approach in generating direct and indirect incremental innovations while delivering seasonal forecasts and tailor-made services. Finally, we call for tighter link between business and climate-related aspects to enhance the importance of financial considerations around climate services provision.
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Kopp, Andrii, Dmytro Orlovskyi, and Ilyass El Arbaouti. "A SOFTWARE SOLUTION FOR QUALITY ASSESSMENT OF BUSINESS PROCESS MODELS." Computer systems and information technologies, no. 3 (September 28, 2022): 91–100. http://dx.doi.org/10.31891/csit-2022-3-12.
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One of the primary tools of the BPM (Business Process Management) paradigm is business process modeling. Business scenarios can be presented in the form of graphical models that can be easily understood by both Information Technology (IT) professionals and non-IT professionals – business analysts, software customers, department heads, top managers, and other stakeholders interested in business process improvement – using business process modeling. Small and large businesses can capture their operations in the form of graphic diagrams using business process modeling as the fundamental tool of the BPM approach, which can then be brainstormed by business analysts to uncover ways to optimize organizational workflows. Typically, business process improvement is accomplished by the automation of operations that have been recognized as “bottlenecks” following analysis. However, analyzing a business process model is only viable if it is clear and correct in terms of compliance with both the notation used and the actual business process it reflects. Therefore, this work examines the structural measures of the BPMN (Business Process Model and Notation) business process model. It is assumed that business process models that violate business process modeling rules are neither understandable nor suitable for further work with them, which can also lead to various errors occurring during the stage of business process analysis, as well as the stage of its improvement and implementation of proposed changes, i.e., during development, testing, and maintenance of distinct software components, information system modules, and so on. The object of this work is a process of quality assessment of business process models created using the BPMN notation. The subject of this work is a software solution for the quality assessment of business process models. The goal of this work is the evaluation of a probability of errors in business process models to improve their quality.
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Ren, Yuan, Cheng Huang, Yongbo Lv, Wanjun Lv, and Han Zhang. "A Distributed Real-Time Transcoding CDN System Design and Performance Simulation Study." Sensors 22, no. 5 (2022): 1945. http://dx.doi.org/10.3390/s22051945.
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Content Delivery Network (CDN) technology is one of the core technologies for performance optimization of mobile WEB applications, but it often encounters bottlenecks in video storage. In this paper, based on studying the basic technical model of distributed real-time transcoding CDN, we propose an overall technical architecture of a distributed real-time transcoding CDN system, present the business process of distributed real-time transcoding CDN resource negotiation in the model, design a resource storage policy model and algorithm, including the hot storage ratio resource storage value evaluation method and storage resource allocation algorithm. Through simulation experiments, we verify the technical efficiency of the distributed real-time transcoding CDN system by simulation experiments.
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Kocsis, Gergely, Péter Ekler, and István Albert. "The Analysis of Portals Considering Mobile Clients." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 3 (2014): 306–10. http://dx.doi.org/10.20965/jaciii.2014.p0306.
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Web analytics are used to retrieve anonymous information about users. We focus here on websites that support mobile clients. This information is important from the perspective of business analysis as web analytics help in making appropriate design decisions. Popular web sites may handle several million page views a day, so poor system design – even that related only to collecting statistics on user behavior – may produce performance bottlenecks or even system failures. This paper presents measurements based on a userdata database for a large mobile supported website and a model used when designing such sites.
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POPA, CATALIN. "THE ANALYSIS OF FREIGHT FORWARDING SERVICES USING THE BUSINESS PROCESS MODELLING TOOLS." Scientific Bulletin of Naval Academy XXV, no. 2 (2022): 110–16. http://dx.doi.org/10.21279/1454-864x-22-i2-011.
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This paperwork is aiming to describe the business model for freight forwarding services as part of the logistics network, in reference to the freight shipments for individuals or corporations toward the market demand, as final customer, or to final points of goods distribution. The authors have conducted a study of modelling the transport processes within the freight forwarding agent in case of Constant port, using the Business Process Modelling tools and methodology. The Business Process Modelling (BPM) is largely used in the business process management and systems engineering, conceived as the research methodology depicting the processes of a focal company, so that the current process has been analysed and further improved and automated. The transport process with all the related stages has been modelled into a specialized software, aiming to reveal bottlenecks, overloads, uneven distribution of workloads, excessive time, costs, etc. The process simulation of the freight forwarding process shall reflect the encountered difficulties of the processes’ dynamics throughout the entire life cycle.
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Kumar, Neelesh. "Social Business Model and its Efficacy: A Case Study on Agroforestry in the Indian Context." Journal of Entrepreneurship and Innovation in Emerging Economies 6, no. 1 (2020): 195–219. http://dx.doi.org/10.1177/2393957519899568.
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This article aims to discuss how social impact and social value creation (SVC) happen in a social enterprise. It attempts to understand the efficacy of social innovation through the lens of different stakeholders within a social enterprise with special reference to the beneficiary and the social entrepreneur. The article uses a case study research method within qualitative research with the emphasis on intrinsic and instrumental case research. An inductive, interpretivist approach has been used for drawing propositions. Through six propositions, the article understands the phenomenon of social innovation, the barriers and bottlenecks in the same which ultimately has to lead to higher levels of social impact and SVC resulting in a win-win-win situation for all the stakeholders. The biggest limitation is that it is difficult to generalise the phenomenon occurring in case of this case research, which may be exactly replicated in other organisational settings/situations/circumstances. The case study has been developed after having taken permission directly from the founder and co-founders of the enterprise. Due permission had been sought from the social entrepreneur(s) before going ahead with the writing and construction of this research article.
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Olena, Sokolova, Soloviova Olena, Borets Irina, and Vysotska Irina. "Development of conceptual provisions to effectively manage the activities of a multimodal transport operator." Eastern-European Journal of Enterprise Technologies 1, no. 3(109) (2021): 38–50. https://doi.org/10.15587/1729-4061.2021.225522.
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Modern market requirements for transportation of cargo flows according to the «quality, speed, and cost» criteria were studied. It was found that multimodal routes have the lowest delivery time, high reliability, and minimum transit time, which provides a more accurate level of control of costs, traffic schedules, and transport safety. It was determined that the effectiveness of multimodal transportation schemes depends on a degree of realization of resource capabilities and management technologies of a multimodal transport operator (MTO). The functional features and the MTO classification were generalized, which makes it possible to generate the MTO business model as a responsible integrator of transport and logistic processes, rather than consider it only from the point of view of the organizer of mixed transportation schemes. The technology of the organizational transportation process was systematized, based on which a system of strategic goals and key performance indicators (KPI) was developed, which makes it possible to determine the «bottlenecks» according to the main business processes of a multimodal transportation operator. The modified multifactor DuPont model was proposed, which makes it possible to establish the priority of factor evaluation of more time-stable indicators based on determining the levers of the MTO resource efficiency with greater coverage of factors. The performed research can become the basis for further development of the multimodal cargo transportation system based on the development of the model for optimal management of the MTO business processes.
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Mutanov, Galimkair, Zhanl Mamykova, Oksana Kopnova, and Mukhtar Bolatkhan. "Applied research of data management in the education system for decision-making on the example of Al-Farabi Kazakh National University." E3S Web of Conferences 159 (2020): 09003. http://dx.doi.org/10.1051/e3sconf/202015909003.
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In the context of the university digital transformation, the development of digitalization processes, it is necessary to introduce a data management culture. In most cases, this approach does not allow to see a big picture, as well as to identify “bottlenecks”. There is a need to develop a unified data management strategy, which will assess the value of IT technology, and ensure the adoption of effective decisions. This article highlights the conceptual issues of data management strategies in higher education, using the example of the university. The place of the data processing strategy within the university’s information space is considered a map model for analyzing key issues for decision making. The basic principles of organizing a data strategy for the university are determined. There is also considered an approach to designing and implementing an information and analytical system on the Microsoft Power BI cloud-based business analysis platform, which integrates all disparate data from university’s corporate information systems and transactional data sources. The analysis of reports of key business processes of the university is carried out, in which the formulation of research questions is shown, and there have been given conclusions to these issues. Introduction of the information and analytical system in the contour of the university’s corporate information system will contribute to the early identification of bottlenecks in the organization of the educational system and prompt decision-making in a systematic and comprehensive analysis of the main business processes of the educational organization through building a data map and visualizing all statistical reports.
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Pratiwi, Sekar Widyastuti, Nofrisel Nofrisel, and Wahyu Poncotoyo. "A Framework for Leveraging IT to Improve Humanitarian Response." Dinasti International Journal of Education Management And Social Science 6, no. 4 (2025): 2820–25. https://doi.org/10.38035/dijemss.v6i4.3467.
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This research presents a comprehensive framework for utilizing information technology (IT) to enhance the effectiveness of humanitarian logistics management. By employing value stream mapping, we conducted a thorough analysis of the current (AS-IS) business processes involved in humanitarian response. Through this analysis, we identified significant inefficiencies and bottlenecks that hinder the timely delivery of aid. Addressing these challenges, we propose a new (TO-BE) business process model that incorporates the implementation of a warehouse management system (WMS). This innovative approach is expected to significantly reduce lead times by 25%, thereby improving the overall efficiency and effectiveness of humanitarian operations.The proposed framework outlines the key steps and considerations for integrating IT solutions into humanitarian logistics, providing a valuable guide for organizations seeking to optimize their response capabilities and save lives.
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Muftiadi, Anang, and Ulyses Sitompul. "MODEL TERINTEGRASI KAPASITAS DESTINASI WISATA UNTUK BISNIS GOVERNANCE PARIWISATA MENGGUNAKAN FORMULA LITTLE’S LAW." AdBispreneur 8, no. 1 (2023): 31–43. https://doi.org/10.24198/adbispreneur.v8i1.37458.
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Rebuilding tourism business governance due to the Covid19 pandemic can be started by analyzing the constraints of tourist destinations capacity, including for Indonesia's priority tourist destinations, such as Makassar Raya and its surroundings. This study aims to analyze the capacity of tourist destinations, especially foreign tourists as a source of national foreign exchange. This research approach integrates the carrying capacity of tourism with the quantitative method of Little's Law of operations management. This method measures the flow of tourists within the capacity of tourist destinations, which consists of attractions, amenities and accessibility from the initial arrival of foreign tourists at the airport until they return to their countries.The results of this study indicate that from various aspects of attractions, amenities and accessibility to the capacity of tourist destinations in Makassar Raya and its surroundings, there are bottlenecks at the favorite tourist locations, check-in counters in airports, restaurants & cafes on the weekends. Therefore, in order to increase the capacity of foreign tourist visits, additional capacity is needed for the three kinds of bottleneck.Membangun kembali tata kelola bisnis pariwisata akibat pandemi Covid19 dapat dimulai dengan menganalisis hambatan kapasitas destinasi wisata, termasuk untuk destinasi wisata prioritas Indonesia, seperti Makassar Raya dan sekitarnya. Penelitian ini bertujuan menganalisis kapasitas destinasi wisata, khususnya terhadap turis mancanegara sebagai sumber devisa. Pendekatan penelitian ini mengintegrasikan daya dukung pariwisata dengan metode kuantitatif Aliran Little’s Law dalam lingkup manajemen operasi. Metode ini mengukur kelancaran aliran wisatawan dalam daya tampung kapasitas destinasi wisata, yang terdiri dari atraksi, amenitas dan aksesbilitas dari awal kedatangan wisatawan mancanegara di bandara hingga mereka kembali ke negaranya. Hasil penelitian ini menunjukkan bahwa dari berbagai aspek atraksi, amenitas dan aksesbilitas pada kapasitas destinasi wisata di Makassar Raya dan sekitarnya, terjadi bottleneck pada kapasitas pada lokasi wisata favorit, bandara, restoran & kafe di akhir pekan. Karena itu untuk meningkatkan kapasitas kunjungan wisatawan mancanegara, maka pada ketiga bottleneck tersebut perlu adanya penambahan kapasitas.
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Wu, He, Wang, Wen, and Yu. "A Business Process Analysis Methodology Based on Process Mining for Complaint Handling Service Processes." Applied Sciences 9, no. 16 (2019): 3313. http://dx.doi.org/10.3390/app9163313.
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To improve the service quality of complaint handling service in a manufacturing company, it is key to analyze the business processes. Process mining is quite a useful approach to diagnose complaint handling service process problems, such as bottlenecks and deviations. However, the current business process analysis methodologies based on process mining mainly focus on operational process analysis and neglect other system level analysis. In this study, we introduce the method of Accimap from the discipline of accident analysis to analyze the diagnosis results of process mining. By creating a complaint handling service process management Accimap model, the process mining results analysis can be carried out across different system levels. A case study in a big manufacturing company in China is implemented to verify our approach. In the case study, 42 complaint handling process management factors are identified and the complaint handling process management Accimap model is created. The testing results by Rasmussen’s seven predictions in his risk management framework show that Accimap method presents a systematic approach to analyze the process diagnosis results based on process mining.
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Santini, Alessandra, Antonella Di Fonzo, Elisa Giampietri, et al. "A Step toward Water Use Sustainability: Implementing a Business Model Canvas for Irrigation Advisory Services." Agriculture 13, no. 5 (2023): 1081. http://dx.doi.org/10.3390/agriculture13051081.
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Some major future global challenges are linked to more efficient use of water for irrigation to respond to the growing water scarcity coupled with the increasing food demand. Although irrigation advisory services (IASs) are considered effective instruments to increase water use efficiency in agriculture, their diffusion remains limited. This is due to several constraints mainly linked to their low accessibility and high costs. To overcome the bottlenecks associated with IASs’ adoption, this paper proposes a business model (BM) as a tool for scaling up IASs within a business perspective, with the aim of encouraging the diffusion of this technology while enhancing the associated environmental and social benefits. Drawn from the experience of the OPERA project, we structured the business model taking advantage of the opinion of relevant stakeholders and IASs’ potential users to identify specific limitations and understand their needs. It turned out that farmers are willing to adopt IASs but require that the service is easily accessible, with high-quality information that are delivered at an affordable cost. Indeed, here a BM with an innovative way to produce and deliver value is proposed. The value proposition is built upon key features namely, integration, customization, accessibility, and sustainability that reflect users’ needs and preferences. Our BM also provides a detailed revenues strategy that guarantees the financial sustainability of IASs. To design and represent our BM, the “Business Model Canvas ©” has been adopted. We concluded that an innovative and well-structured BM has the potential to leave the IASs profitable and capable to ensure environmental and social sustainability.
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Shiau, Yau-Ren, and Hui-Min Chang. "Fuzzy assessment analysis and key improvements to a production system." TQM Journal 32, no. 1 (2019): 38–55. http://dx.doi.org/10.1108/tqm-03-2019-0082.
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Purpose The framework of Six Sigma Define-Measure-Analyze-Improve-Control was applied in this study, and various tools and techniques were used at different stages to implement lean measures to ensure quality. The purpose of this paper is to develop a decision-making framework that assesses key quality performance to ensure that practitioners improve quality and control by modeling and optimizing production processes. Design/methodology/approach A model of a quality performance index system was established. The weights of factors and sub-factors, which were estimated using an FAHP, were used as a reference for the decision maker under fuzzy uncertainly to make a decision, and thus, results present the bottlenecks in processes. Furthermore, any other factors that may affect the key process bottlenecks must be considered. The critical to quality characteristics were determined, and factor levels were set. The interaction between the factors was analyzed, their significance was studied using the Design of experiments and the parameters were predicted. Finally, quality improvement decisions were made through failure mode and effects analysis. Findings The implementation results of this research prove that the proposed model could successfully determine the key processes and focus on the improvement of critical quality factors under limited resources. Originality/value This study establishes a set of performance appraisal methods for production systems, which can be used for improving productivity and quality.
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Wang, Xiaojiao, and Kalybek Zh Abdykadyrov. "Environmental risk assessment and green transformation path for sustainable development in the banking industry of Kyrgyz republic and China." Edelweiss Applied Science and Technology 9, no. 5 (2025): 1699–710. https://doi.org/10.55214/25768484.v9i5.7267.
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As the global demand for sustainable development and green finance continues to increase, traditional banks have gradually exposed problems such as limited monitoring dimensions and delayed data response in environmental risk identification, green business promotion, and performance evaluation. To solve the above bottlenecks, this paper integrates artificial intelligence and Internet of Things technologies to build a green financial intelligent perception and control system. By applying an AI credit approval model, a real-time environmental data collection mechanism based on the Internet of Things, and a green performance intelligent tracking system, refined dynamic control of key indicators such as the proportion of green credit, environmental risk levels, and customer green satisfaction can be achieved. The experimental results show that the AI deep learning model performs best in green loan risk prediction, with an AUC (Area Under the Curve) value of 0.91, which is significantly higher than the 0.72 of the traditional credit scoring model and the 0.84 of the ESG enhanced model, indicating that the model has a stronger ability to distinguish between high-risk and low-risk loans. In the case of the simulated policy incentive bank, the initial green business accounts for 18.0%. Under the simulated policy incentive, the bank's green business accounts for 33.6%, an increase of 15.6%. This result shows that policy incentives have a significant promoting effect on underdeveloped banks.
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de Andres Gonzalez, Olena, Heikki Koivisto, Jari M. Mustonen, and Minna M. Keinänen-Toivola. "Digitalization in Just-In-Time Approach as a Sustainable Solution for Maritime Logistics in the Baltic Sea Region." Sustainability 13, no. 3 (2021): 1173. http://dx.doi.org/10.3390/su13031173.
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This research provides an overview of the process and results of the development and implementation of the Port Activity Application. The aim of the application is to improve the coordination and information exchange mechanisms between the existing systems of ports and ships during piloting ordering process to ensure their effective interoperability, giving a better understanding of the impact of digitalization on the sustainability of seaports and maritime transport. To implement this concept, a system of step-by-step actions was developed, including determining the current situation, developing a business model and business logic for implementing an appropriate information and communication technology (ICT) solution, analysing the local government structure, analysing intermodal information exchange between stakeholders, developing and testing a new ICT tool. The ports of Rauma, Finland, and Gävle, Sweden, were used as pilot ports. As a result of the study, the main bottlenecks in the process of information exchange in ordering pilotage were identified. An improved business model and business logic, that allows the rational use of resources and reduces CO2 emission and the pressure on the environment, was developed. The testbed was conducted in an environment of real port operations. Currently, the open access source code is available for use for maritime cluster actors.
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Ievlanov, Maksym, and Viktor Shutko. "Development of a basic method for strategic planning of cloud migration of an information system." Management Information System and Devises, no. 184 (May 23, 2025): 52–70. https://doi.org/10.30837/0135-1710.2025.184.052.
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The object of the study is Process Mining tools in the context of strategic planning of cloud migration of information systems of modern enterprises within the framework of digital transformation. It has been established that the automatic reproduction of the business process model based on event logs allows you to identify the real course of operations and identify bottlenecks that worsen the efficiency of the system's processes, as well as to get an objective picture of the actual routes of the processes. Thanks to this, it becomes possible to identify potential deviations from established regulations, which helps specialists to determine which processes need to be reviewed and optimized and minimize the negative impact of bottlenecks on productivity. The importance of conducting a comparative analysis of the obtained models with formalized standards of work is described, which makes it possible to identify critical points in organizational processes. Based on the results of such an analysis, the need to adapt the process model to the requirements of the cloud environment is substantiated, because the updated model directly affects the IS architecture. Adjusting the logic of interaction between the components of the information system and subsystems ensures the appropriate level of scalability, fault tolerance and performance when working in the cloud. A general method of integrating the results of Process Mining into the strategic planning of cloud migration is proposed, covering the sequential stages of collecting data from event logs, building and analyzing the initial model, as well as the formation of an advanced process model that reflects new requirements and identified patterns. A sequence of mappings has been developed that allow describing the relationship between the compatibility assessment of the current state and the improved version of the model and the key characteristics of cloud computing. The implementation of these mappings allows developing a prioritized set of business processes for the transition and choosing the optimal migration strategy (Rehosting, Refactoring or Reengineering). The practical value of the results obtained lies in increasing the efficiency of decision-making on the sequence and methods of transferring information systems to the cloud, as well as in minimizing operational risks and reducing the cost of reorganizing obsolete IS. In addition, the proposed method contributes to the reasonable determination of the appropriate stages of system upgrade, which is extremely important for maintaining the proper quality of services and meeting the growing needs of business in a dynamic technological environment.
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Cheong, Kaman, Fanrui Guo, and Jinshi Lu. "Analysis of Huaxing Yuanchuang M&A Based on PEG and EVA Valuation Model." Advances in Economics, Management and Political Sciences 36, no. 1 (2023): 53–65. http://dx.doi.org/10.54254/2754-1169/36/20231785.
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In the process of expanding operations, enterprises often encounter bottlenecks in terms of capital, technology, management, and other aspects. In order to tackle these problems, enterprises often choose to issue bonds, go public, mergers and acquisitions, etc. to expand their production and business scope, update management models, and improve their competitiveness. Due to the short introduction of the merger and acquisition mechanism, the analysis and research of mergers and acquisitions by various enterprises are relatively shallow, and the success rate of mergers and acquisitions by Chinese enterprises is low. This study conducts a research and analysis on the first merger and acquisition case on the Science and Technology Innovation Board, i.e., the case of Huaxing Yuanchuang's acquisition of Olyto. Based on PEG and EVA valuation models, it analyzes the motivation and results of Huaxing Yuanchuang's acquisition of Olyto's business behavior. By valuing and comparing the stock price of Huaxing Yuanchuang before and after the merger and acquisition behavior, the conclusion that the merger and acquisition behavior is not successful is drawn. Research has found that under the PEG valuation model, the stock price of Huaxingyuan Chuang after the merger is slightly overvalued, while under the EVA valuation model, the stock price is greatly underestimated.
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Grimm, Veronika, and Christina von Rüden. "Die Krise bekämpfen, das Wirtschaftsmodell neu justieren." Wirtschaftsdienst 102, no. 12 (2023): 922–28. http://dx.doi.org/10.1007/s10273-022-3338-6.
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AbstractTackling the crisis, readjusting the economic model: Rising energy prices, historically high inflation rates and ongoing supply chain bottlenecks are challenging Germany’s long-standing industrial base. On top of that, entrepreneurs and the state alike are faced with new geopolitical tensions forcing them to re-evaluate existing (trade) relationships. In order to strengthen Germany’s attractiveness as an industrial location in the long term and to emerge from this crisis more resilient to economic and geopolitical changes, its economic model needs to be readjusted. In this article, we thus discuss key areas of action, including how to secure energy supply, how to diversify international relationships, as well as how to provide sustainable and targeted support to firms that does not prevent structural change.
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Abu Rub, Faisal A., and Ayman A. Issa. "A business process modeling‐based approach to investigate complex processes." Business Process Management Journal 18, no. 1 (2012): 122–37. http://dx.doi.org/10.1108/14637151211215046.
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PurposeThe purpose of this paper is to develop a new approach to investigate complex processes, such as software development processes, using business process modeling.Design/methodology/approachThe paper presents an investigation into the use of role activity diagramming (RAD) to model complex processes in the software industry sector, with reference to the process of TestWarehouse as a case study.FindingsSystematic extension and quantitative analysis to RAD models led to the discovery of process bottlenecks, identification of cross functional boundary problems, and focused discussion about automation of processes.Research limitations/implicationsFurther work is required to validate and evaluate the proposed approach using several cases with different application domains and thus generalize the adopted approach.Practical implicationsA new approach has been used successfully to understand and analyze business processes. The tools and techniques that are used to perform the approach are not complicated and do not need much specialist expertise, so the approach is not only oriented toward specialists but also toward organizations' managers and staff.Originality/valueNew techniques have been developed by using process modelling to deepen the understanding and analyzing of complex organizational processes. This research implements a practical investigation which uses a case study to validate the new techniques.
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Onyeka Chrisanctus Ofodile, Adeoluwa Omoyemi Yekeen, Ngodoo Joy Sam-Bulya, and Chikezie PaulMikki Ewim. "Optimizing supply chains with artificial intelligence in the 4IR: A business model perspective." Open Access Research Journal of Multidisciplinary Studies 6, no. 2 (2023): 086–99. http://dx.doi.org/10.53022/oarjms.2023.6.2.0051.
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The Fourth Industrial Revolution (4IR) heralds a transformative era characterized by the integration of advanced technologies such as Artificial Intelligence (AI) into various sectors, notably supply chain management. This paper explores how AI optimizes supply chains, enhancing efficiency, responsiveness, and resilience from a business model perspective. Traditional supply chain models often face challenges such as demand variability, inventory management, and logistical inefficiencies. By harnessing AI technologies, businesses can address these challenges through improved data analytics, predictive modeling, and automation. AI-driven supply chain optimization involves the utilization of machine learning algorithms and big data analytics to forecast demand accurately, enabling businesses to adjust their operations proactively. This shift from reactive to proactive supply chain management fosters agility, allowing firms to respond to market fluctuations swiftly. Furthermore, AI enhances visibility across the supply chain, facilitating real-time tracking of inventory levels, order status, and supplier performance. This transparency enables organizations to identify potential bottlenecks and mitigate risks effectively. The research highlights several AI applications in supply chain optimization, including automated inventory management, predictive maintenance, and intelligent logistics. Automated systems reduce human error and operational costs, while predictive maintenance minimizes downtime by anticipating equipment failures. Intelligent logistics solutions, powered by AI, optimize route planning and delivery schedules, enhancing overall operational efficiency. However, the successful implementation of AI in supply chains also poses challenges, such as the need for significant investments in technology and infrastructure, data privacy concerns, and workforce adaptation to new technologies. This paper discusses these challenges and provides recommendations for businesses to navigate them effectively. In conclusion, AI presents substantial opportunities for optimizing supply chains in the context of 4IR. By adopting AI-driven approaches, businesses can create more resilient and efficient supply chains, ultimately driving competitive advantage and sustainability in a rapidly evolving market landscape.
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Kashtanova, YEkatyerina, A. Lobacheva, and R. Ashurbekov. "MODERN MODELS OF PERSONNEL INVOLVEMENT IN THE COMPANY." Management of the Personnel and Intellectual Resources in Russia 12, no. 3 (2023): 30–37. http://dx.doi.org/10.12737/2305-7807-2023-12-3-30-37.
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The level of staff involvement is a very important tool for personnel management and business in general. It needs to be researched, improved and maintained to ensure the growth of companies. The article provides an overview of the main domestic and foreign models that allow assessing the state of staff involvement, exploring the structure of involvement, finding its main bottlenecks and opportunities for development. The article examines the composition and focus of the Q12 Gallup engagement questionnaire, the model of Deloitte, McKinsey and other major companies, emphasizes the importance of creating a sense of employee belonging to the company and provides best practices of employee engagement, which are universal in nature, they can be implemented by many companies to improve their corporate culture and increase their own efficiency.
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Goia, Ionela, and Alexandru-Stefan Bacioiu. "The Analysis of Freight Forwarding Services Using the Business Process Modelling Tools. Study Case in Constanta Port." DESIGN, CONSTRUCTION, MAINTENANCE 2 (June 30, 2022): 217–20. http://dx.doi.org/10.37394/232022.2022.2.28.
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This paperwork is aiming to describe the business model for a bunkering process as part of the supply chain network from a Company in Constanta port. The authors have conducted a study of modelling the bunkering process for a ship from the company's fleet, which is moored in the port of Constanta, using the Business Process Modelling tools and methodology. The bunkering process with all its stages will be incorporated in the AuraPortal Helium Modeler program and statistically simulated. This entails putting processes through their paces in fictitious scenarios to discover and quantify any factors that might influence how they are carried out in real life. Bottlenecks, overloads, uneven workload distribution, unnecessary time, expenses, and other issues should be revealed by these activities. The authors will do an actual simulation of the bunkering process in the concluding remarks to reflect the process dynamics issues experienced during the full life cycle.
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STELMAKH, Oleksandr, Dmytro HULIAIEV, Yurii PEDKO, and Volodymyr YELIN. "Conceptual process-oriented model of reengineering in the construction sector." Ways to Improve Construction Efficiency 1, no. 55 (2025): 134–47. https://doi.org/10.32347/2707-501x.2025.55(1).134-147.
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The conceptual process-oriented model of reengineering in the construction sector is a fundamental approach to transforming business processes in the construction industry to enhance their efficiency, productivity, and competitiveness. It is based on the use of modern process management methodologies, including the identification, analysis, optimization, and implementation of innovative changes in the production and management mechanisms of construction companies. The primary objective of this model is not only to improve individual aspects of activity but also to ensure a holistic approach to managing all components of business processes, including interactions between structural divisions, suppliers, contractors, and clients. The process-oriented approach to reengineering in the construction sector is founded on principles of radical restructuring of operational and management procedures to achieve significant improvements in cost, quality, execution speed, and adaptability to market changes. The use of Business Process Management (BPM) methodology enables the systematization and automation of processes, reduction of inefficiencies, cost minimization, and an increased level of control over project execution. A key tool for implementing this conceptual model is the use of digital technologies, including Building Information Modeling (BIM), which enhances design accuracy, optimizes costs, and reduces risks. Another important element is the integration of quality management systems, ensuring compliance with regulatory requirements and increasing the reliability of construction output. The effective implementation of the conceptual process-oriented model of reengineering requires a thorough analysis of the current state of business processes, identification of bottlenecks, and the formation of a strategic vision for change. A crucial component is the adoption of agile management principles, which allow for rapid adaptation to changing market conditions and regulatory requirements. Moreover, implementing such a model necessitates a high level of personnel competence and an organizational culture focused on continuous improvement. The application of reengineering in the construction sector enables increased project execution efficiency, cost reduction, optimization of resource allocation, and improved interaction among all process participants. Thus, the conceptual process-oriented model of reengineering in the construction sector is a necessary prerequisite for improving project management efficiency, modernizing business processes, and achieving sustainable industry development. It provides construction companies with strategic advantages through the integration of modern technologies, process automation, and adaptation to the dynamic changes of the market environment.
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Korenková, Veronika, Ján Závadský, and Marcin Lis. "Linking a performance management system and competencies: Qualitative research." Engineering Management in Production and Services 11, no. 1 (2019): 51–67. http://dx.doi.org/10.2478/emj-2019-0004.
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Abstract The main purpose of the paper is to identify the group of indicators that are most widely used in the manufacturing area worldwide, to identify the responsibility and authority for measuring and evaluating business performance, and to create an illustrative competency-based model for a performance management system within a business. The paper covers two areas that are important in the maintenance of sustainable business performance. The first area focuses on a performance management system and its key performance indicators as an important element in every performance management system within a business. The article also presents the theoretical background of the Z-MESOT method, which is applied to define the consistency of these indicators in practice. The second area is dedicated to defining a competency-based model and competences related to the measurement and assessment of performance, which have been extracted from other general competences. This paper presents findings from qualitative research to eliminate the bottlenecks of the Z-MESOT matrix that was transposed into a questionnaire. The questionnaire, as well as structured interviews, helped identify differences in responsibility attributes of the Z-MESOT matrix regarding the size of the researched businesses. The paper offers a list of competences related to the key performance indicators that can be used for following theoretical and practical research.
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Sabar, Andreas. "Business Process Improvement of Outpatient Unit of Type B Private General Hospital in Jakarta." Jurnal Inovasi Global 2, no. 11 (2024): 1754–73. http://dx.doi.org/10.58344/jig.v2i11.206.
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Health is one of the factors in economic development and growth. The higher the quality of health, the greater the potential for economic growth and prosperity over the long term. Some important indicators to illustrate the level of health of a country are health expenditure, infant mortality rate, and life expectancy. The average health expenditure of urban residents is higher than that of rural residents. As one of the components of health expenditure, outpatient treatment was identified as one of the largest constituent components, especially for urban areas such as DKI Jakarta Province. Along with the increasing demand for outpatient services in private public hospitals in Jakarta, there is potential of the increasing end-to-end process service quality problems such as queue length and process bottlenecks. The objectives of this study include evaluating the As-Is outpatient service process, analyzing the effectiveness of the outpatient service process against potential queuing problems, analyzing the root of the problem using a Business Process Management approach that uses Business Process Model and Notation (BPMN) and Value Stream Mapping. The results of the analysis on the To-Be process model show that there is potential for time efficiency in the outpatient service process that can improve overall hospital performance.
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Kar, Yan Choong, Suhizaz Sudin, Rafikha Aliana A. Raof, Jaan Ong Rhui, and Rakhmad Arief Siregar. "Vegetable Price Forecasting Model in an Agricultural Knowledge Management System Using Genetic Algorithm-Based Neural Network." Journal of Advanced Research in Applied Sciences and Engineering Technology 65, no. 1 (2025): 76–87. https://doi.org/10.37934/araset.65.1.7687.
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Knowledge management system (KMS) is a technology that helps teams gather, organize, and share information across a business and for its customers. However, the lack of KMS in Malaysia and low national interest in agriculture worsen the problem in Malaysia's agriculture sector. Food production and productivity are declining in Malaysia while food consumption is rising. Other issues include a bias toward oil palm plantations, unfair prices for farmers' crops, aging and unskilled farmers and fishermen, reliance on imported food, supply channel bottlenecks, and a lack of market understanding. In recent years, Malaysia's government is started to put effort into agricultural development. Therefore, the authors aim to design and develop a platform with multi-purpose such as E-Commerce and information sharing using KMS. However, this paper focuses on implementing the vegetable price forecasting model, which utilises the Genetic Algorithm based Neural Network. In the end of this paper, it shows the forecasted vegetable price data with high accuracy compared to the traditional models.
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Yu, Huiwen, and Xiali Du. "Operational Models and Social Interactions of Shared Platforms under the Urban-Rural Sharing Economy: A Case Study of the Shared Fishpond in Village W." Lecture Notes in Education Psychology and Public Media 100, no. 1 (2025): 8–13. https://doi.org/10.54254/2753-7048/2025.nd23980.
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The sharing economy optimizes resource allocation through internet technologies and offers new opportunities for traditional agricultural development. This paper focuses on the "sharing + platform agriculture" business model by examining the shared fishpond project in Village W. It analyzes the mechanisms of agricultural supply-demand integration and social interaction under the trend of urban-rural integration. By establishing interest-based virtual communities, the shared fishpond model efficiently integrates urban and rural resources, creating a closed loop from production to sales. This model overcomes the bottlenecks of traditional agricultural production and distribution and innovates social relations between urban and rural communities. It broadens agricultural product sales channels, increases farmers income, and promotes rural revitalization. Despite its significant value in enhancing urban-rural development and reshaping social relations, the model still faces practical challenges such as poor management, low levels of digitalization, and insufficient infrastructure. Institutional innovation and technological support are urgently needed to foster sustainable development.
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Fan, Bo, Linfu Sun, Dong Tan, and Meng Pan. "Optimal Selection Technology of Business Data Resources for Multi-Value Chain Data Space—Optimizing Future Data Management Methods." Electronics 13, no. 23 (2024): 4690. http://dx.doi.org/10.3390/electronics13234690.
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In the field of industrial big data, the key issue in discovering data value lies not in overcoming the bottlenecks formed by analysis methods and data mining algorithms but in the difficulty of providing data element resources that meet business analysis needs. Due to the surge in data volume and the increasing reliance of enterprises on data-driven decision-making, future data management strategies are constantly evolving to meet higher quality and efficiency requirements. Data metadata resources that meet business analysis needs require high-quality data integration, standardization, and metadata management. The key is to ensure the consistency and availability of data to support accurate analysis and decision-making. By leveraging automation and machine learning, organizations can more effectively integrate and manage data metadata resources, thereby improving data quality and analytical capabilities. The multi-value chain data space is a digital ecological platform for organizing and managing industrial big data. Research on optimizing the supply of its business data resources is a significant topic. This paper studies the evaluation index system of data quality and data utility, constructs an evaluation matrix of business data resources, and addresses the issues of data sparsity and cold start in evaluation calculations through a data quality-utility-based evaluation model of business data resources. It investigates a business data resource algorithm based on collaborative filtering, forming a recommendation set of similar data quality-utility data resources to provide to data analysis users. Finally, using actual production datasets, the paper validates the business data resource evaluation model, compares the performance and effectiveness of three business data resource recommendation algorithms based on collaborative filtering, empirically demonstrates the recommendation accuracy and stability performance of the combined improved data quality-utility collaborative filtering algorithm (CFA-DQU), and provides technical research recommendations for optimization of business data resources.
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Campos-Núñez, Franco, and Jorge Serrano-Malebrán. "Enhancing Firm Performance: How Entrepreneurial Orientation and Information Technology Capability Interact." Applied Sciences 14, no. 16 (2024): 7243. http://dx.doi.org/10.3390/app14167243.
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Applying information technology capabilities (ITC) to business processes is critical in the current data and information age. However, various bottlenecks and barriers restrict the adoption of ITC. To address these obstacles, fostering an entrepreneurial orientation (EO) can be beneficial. Drawing on the dynamic capabilities view, this study develops and tests a model that empirically analyzes how EO influences the adoption of ITC. The proposed model also assesses the separate and joint effects of EO and ITC on firm performance (FP). The research hypotheses were tested using a survey of 157 Chilean firms, and the PLS-SEM method was applied. The findings indicate that EO promotes the development of ITC and that the synergistic relationship between the two positively affects FP. These findings provide valuable insight for managers in terms of aligning their strategic approach with technological capabilities to enhance their company’s success.
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Orlov, I. V. "Role of document management system for business processes optimization." Problems of Theory and Methodology of Accounting, Control and Analysis, no. 2(58) (September 16, 2024): 45–49. http://dx.doi.org/10.26642/pbo-2024-2(58)-45-49.
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The automation of work processes and seamless integration with various business services highlight the essential role of digital document management systems (DMS) in enhancing organizational flexibility, productivity, and adaptability. DMS serve as centralized repositories that streamline, automate, and interconnect business processes, thereby facilitating effective document management. The integration of DMS with Enterprise Resource Planning (ERP) systems provides a comprehensive solution for optimizing business workflows, addressing the needs for both operational efficiency and strategic management. The research paper delineates a business model for the life cycle management of electronic documents and records, focusing on the integration of processes such as document creation, management, approval, and secure distribution. This integrated approach enhances organizational structure, optimizes processes, and bolsters security, leading to significant cost reductions and increased work efficiency. The model emphasizes the importance of streamlined and automated document workflows in reducing manual errors and operational bottlenecks. Key features of DMS include advanced mechanisms for digitizing physical documents, ensuring that all data is captured accurately and efficiently. Centralized storage with version control allows for easy retrieval and management of documents, ensuring that the latest versions are always accessible. Additionally, advanced search and accessibility features enable quick and efficient document retrieval, which is crucial for maintaining high productivity levels. The study underscores the pivotal role of DMS in modern enterprises, advocating their implementation as a strategic move to drive operational excellence and competitive advantage. By integrating DMS with ERP systems, businesses can achieve a cohesive and efficient operational environment that supports both day-to-day activities and long-term strategic goals. This comprehensive approach to document management not only optimizes efficiency and reduces errors but also enhances the overall agility and responsiveness of the organization in a rapidly changing economic environment.