Journal articles: 'Warehousing operations'

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Carlson, John G. "JIT applications to warehousing operations." Engineering Costs and Production Economics 17, no. 1-4 (August 1989): 315–22. http://dx.doi.org/10.1016/0167-188x(89)90080-3.

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Agustian, Indra, Eka Muktiono, Akhmat Nuryadin, and Bambang Suharjo. "WAREHOUSHING AND INVENTORY INFORMATION SYSTEM MODEL USING RADIO FREQUENCY IDENTIFICATION (RFID) IN EASTERN NAVAL WAREHOUSING." JOURNAL ASRO 10, no. 2 (July 24, 2019): 31. http://dx.doi.org/10.37875/asro.v10i2.127.

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Eastern Naval Warehousing is the technical implementation elements in charge of receiving, storing, maintaining and distributing supplies to support existing user in the Navy in particular user located in the eastern region. To support the operational activities of the Navy, Eastern Naval Warehousing as service organizations should be supported with the provision of an information system capable of supporting the activities become more optimal provisioning. Speed and accuracy of support provision to user is an indication for the success of a service. Information technology nowadays has grown very rapidly to develop into the current warehousing system. RFID (Radio Frequency Identification) is the process of identifying an object automatically by Radio Frequency. There are two important components of an RFID system is the card (tag) and the reader. Application warehousing information system can be integrated with RFID technology, so that the system can run more optimal for warehousing system. This research aims to design warehousing information system based on RFID in Eastern Naval Warehousing used in processing existing warehousing system to gain optimal in provisioning operations running in Eastern Naval Warehousing to support provisioning activities to meet the requirement of existing user in Navy. Field studies conducted in Eastern Naval Warehousing, aimed to determine the current state of warehousing system that runs to identify existing problems. Furthermore, to process the data, created the design of an information system based on RFID warehousing in software system. This paper get to report out of the goods, report the amount of inventory in real time, the location of goods and EOQ value of goods to determine the optimal inventory level of each item.

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EBEN-CHAIME, M. "Operations sequencing in automated warehousing systems." International Journal of Production Research 30, no. 10 (October 1992): 2401–9. http://dx.doi.org/10.1080/00207549208948162.

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Shafer, Scott M., and Ricardo Ernst. "Applying Group Technology Principles to Warehousing Operations." International Journal of Purchasing and Materials Management 29, no. 1 (March 1993): 38–42. http://dx.doi.org/10.1111/j.1745-493x.1993.tb00005.x.

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Kembro, Joakim Hans, Andreas Norrman, and Ebba Eriksson. "Adapting warehouse operations and design to omni-channel logistics." International Journal of Physical Distribution & Logistics Management 48, no. 9 (October 1, 2018): 890–912. http://dx.doi.org/10.1108/ijpdlm-01-2017-0052.

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Purpose The purpose of this paper is to increase the understanding of how warehouse operations and design are affected by the move toward integrated omni-channels. Design/methodology/approach A structured literature review is conducted to identify and categorize themes in multi- and omni-channel logistics, and to discuss how aspects related to these themes impact and pose contingencies for warehouse operations and design. Findings The review revealed a lack of focus on warehouse operations and design in multi- and omni-channels. Instead, most articles published in scientific journals discuss changes in consumer demand and implications for the network level, concerning aspects such as the organization and management of material and information flows, inventory management, resources, actors and relationships. Ten themes in omni-channel logistics were identified and grouped into two categories: the value proposition and channel management; and the physical distribution network design. The themes and related aspects have implications for warehousing, and by combining these with general warehousing knowledge, the authors derive a comprehensive and structured agenda is derived to guide future research on omni-channel warehousing. Research limitations/implications This paper outlines a research agenda, including detailed research questions, for advancing the theory on warehouse operations and design in omni-channels. Practical implications The agenda can inspire practitioners in their work to understand the upcoming challenges and address relevant issues in omni-channel warehousing, taking into consideration its interdependence with value proposition, channel management and network decisions. Originality/value This is the first comprehensive review focusing on and synthesizing available literature on omni-channel warehousing. This topic has until now received limited coverage but is of increasing importance to scholars in the field.

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Pandian, Dr A. Pasumpon. "ARTIFICIAL INTELLIGENCE APPLICATION IN SMART WAREHOUSING ENVIRONMENT FOR AUTOMATED LOGISTICS." December 2019 2019, no. 2 (December 8, 2019): 63–72. http://dx.doi.org/10.36548/jaicn.2019.2.002.

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The advancements in the technologies, the revolution in the business procedures and the entailment to modify the operation in the warehousing as the result of the accumulating orders along with the complications involved in it, and the shortage in the management skills has paved way for the emergence of the smart ware housing. More over as the warehousing takes a vital role in the supply chain and prevails as the key feature in the logistics, smart ware housing is very much necessitated to enhance the organization management and success. The application of the artificial intelligence in the warehousing operations enhances the potentials of the warehousing functioning in the logistics, management and the co-ordination. The application of the artificial intelligence in the warehousing to make it a smart environment for the automated logistics is proposed in the paper. The paper concentrates on the automated storage and the retrieval using the internet of things, artificial intelligence and the cloud computing to have an any time access of the stock available in the warehouse.

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Eben-Chaime, Moshe, and Nava Pliskin. "Operations management of multiple machine automatic warehousing systems." International Journal of Production Economics 51, no. 1-2 (August 1997): 83–98. http://dx.doi.org/10.1016/s0925-5273(94)00062-x.

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Lin, Xiangming, Kai Liu, and Yixuan Li. "BI warehousing system based on big data." E3S Web of Conferences 257 (2021): 02015. http://dx.doi.org/10.1051/e3sconf/202125702015.

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In the wave of informatization, the data generated by enterprise operations has increased rapidly, prompting the intelligent development of enterprise warehousing systems. In the development of BI warehousing systems, the application of big data technology can promote the rapid development of business intelligence warehousing systems. The application of big data technology in the BI warehousing system can improve the service quality of the data intelligence of the warehousing system. Based on data, it provides support for corresponding decision-making, thereby improving the enterprise data management system. Therefore, this article mainly conducts research and analysis on the construction of BI warehousing system under the application of big data technology, and aims to provide a certain reference value for similar events in the future through a detailed explanation of the current situation of BI warehousing system construction and big data technology application.

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Abushaikha, Ismail, Loay Salhieh, and Neil Towers. "Improving distribution and business performance through lean warehousing." International Journal of Retail & Distribution Management 46, no. 8 (August 13, 2018): 780–800. http://dx.doi.org/10.1108/ijrdm-03-2018-0059.

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Purpose Recent literature recognizes the role of warehouses in enhancing the overall logistics performance. Thus, lean thinking has recently found its way in supporting warehouse and distribution centre operations. The purpose of this paper is to examine the relationships among warehouse waste reduction practices, warehouse operational performance, distribution performance and business performance. Design/methodology/approach A two-stage study was conducted. First, a Delphi technique was adopted to develop a relevant questionnaire. Second, this questionnaire was used to measure the degree of waste reduction in the different warehouse activities and to test the developed research hypotheses. The authors test the hypotheses with a sample of Middle Eastern warehouse operators. Findings There exists a positive relationship between warehouse waste reduction level and both warehouse operational performance and distribution performance. There was no direct relationship between warehouse waste reduction level and business performance. However, results revealed that the relationship between warehouse waste reduction level and business performance was mediated by warehouse operational performance and distribution performance. Practical implications The developed instrument provides a guide for logistics managers as to understand how to reduce waste in each warehousing activity. The results also inform logistics managers of how distribution performance can be improved through lean warehousing. The resulting performance improvements in the distribution operations will ultimately be reflected in the logistics performance of downstream retailers. Originality/value The study develops an original instrument for measuring waste reduction in warehouses, and provides insights into the evolving lean warehousing research area. This is the first scholarly work to uncover the relationships among warehouse waste reduction practices, warehouse operational performance, distribution performance and business performance.

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Minashkina, Daria, and Ari Happonen. "Decarbonizing warehousing activities through digitalization and automatization with WMS integration for sustainability supporting operations." E3S Web of Conferences 158 (2020): 03002. http://dx.doi.org/10.1051/e3sconf/202015803002.

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The current strong outsourcing trend dictates that the efficiency of outsourced warehousing is a big contributing impact factor for the carbon footprint from supply chains. A good warehouse management system boosts warehousing eco-friendliest by reducing space waste and unnecessary number of material movements, to ensure continuous fast materials flow and to keep the heating and cooling costs to a minimum. All this may happen on some lengths inside the traditional manual warehousing scenes, but in fact, if the highest level of efficiency is wanted/needed, the operator shall need to automate, digitalize and robotize their operations. Authors presents an example of automation in the warehousing context, where the warehouse operator is capable of turning around an order line as an outgoing packet, even in high peak load times under 3h time period. This sort of efficiency means less needed storage space as items stay less time in the warehouse and such automatization also gives the 3PLs possibility to store materials in high rising automated systems like automated storage and retrieval systems to optimize their space usage. All combined, the future warehouse operations can make a positive impact on efforts to reduce overall CO₂ emissions made by supply chains.

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Binos, Tania, Arthur Adamopoulos, and Vince Bruno. "Decision Support Research in Warehousing and Distribution: A Systematic Literature Review." International Journal of Information Technology & Decision Making 19, no. 03 (May 2020): 653–93. http://dx.doi.org/10.1142/s0219622020300013.

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The increase in e-commerce and omnichannel commerce is having a significant impact on the supply chain sector and its warehouses. Fluctuations in demand and priorities, the requirement for value-added service, government regulations and other factors put pressure on the operational decision makers on the warehouse floor and the systems that support them. The increasing complexity of daily warehouse operations means that decision support systems will need to become more sophisticated and intelligent to assist decision makers in real-time. The aim of this literature review is to investigate how decision support in warehousing and distribution operations is examined in the research literature. The objective of this review is to understand how this decision support research can assist operational decision makers to manage and complete the daily volume of work through the warehouse. Fifty-one articles were obtained by the literature search. Articles were categorized by type of warehouse, decision support target, operational task and problem type, research article methodology, architecture and technology. Decision support is examined in almost all areas of warehousing operations with the use of a variety of methods and technologies within the research literature. Most “daily warehouse operational” decision support deals with expertise transfer and reacting to real-time events. This paper highlights the lack of research into human–machine collaboration in adaptive decision support systems to assist warehouse operational decision makers.

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王, 鑫淼. "Dynamic Path Planning for Multi-Robot in Warehousing Operations." Artificial Intelligence and Robotics Research 08, no. 02 (2019): 68–82. http://dx.doi.org/10.12677/airr.2019.82009.

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Gunasekaran, A., H. B. Marri, and F. Menci. "Improving the effectiveness of warehousing operations: a case study." Industrial Management & Data Systems 99, no. 8 (December 1999): 328–39. http://dx.doi.org/10.1108/02635579910291975.

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Abhishek P.G. and Maheshwar Pratap. "Achieving Lean Warehousing Through Value Stream Mapping." South Asian Journal of Business and Management Cases 9, no. 3 (October 26, 2020): 387–401. http://dx.doi.org/10.1177/2277977920958551.

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This article applies value stream mapping (VSM) in a distribution warehouse after identifying and categorizing different warehousing wastes. The study suggests solutions for the reduction of each type of waste and employs lead time as the metric to understand the overall effectiveness of the suggested remedies. The distribution warehouse faced severe stock-out situations and high lead time for all deliveries. Current state and future state maps were utilized for mapping the current and revamped system, respectively. While existing studies on lean warehousing have utilized VSM to study a specific type of waste, this study extends it to include all types of warehousing waste, classifies them into seven types and provides a real case study along with evidence for improvement schemes for each category. This research, employing a case study, suggests an integrated lean warehousing method for design and operation of distribution warehouses. Dilemma/research question/purpose: Can the warehouse avoid stock-outs and decrease the lead time by identifying and reducing or eliminating the seven types of wastes in the warehouse operations? Theory: Lean management principle applied to a warehouse using value stream mapping to eliminate wastes. Type of the case: A problem-solving using lean tools carried out in a warehouse. Protagonist: Not needed. Options: Allow the current state to continue causing stock-outs and high lead times, or identify and reduce the wastes in the warehouse operations and avoid stock-outs, decrease lead times, and improve the overall efficiency of the warehouse. Discussions and case questions: Is it possible for the firm to go one step further than what the future state map has shown in the study? What other lean tools do you see fit to reduce or eliminate the types of waste outlined in this article?

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Guha, Ankush, and Saroj Koul. "Entrepreneurship and engineering: the triumph of All India Warehousing Private Ltd." Emerald Emerging Markets Case Studies 3, no. 4 (October 10, 2013): 1–8. http://dx.doi.org/10.1108/eemcs-06-2013-0073.

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Title – Entrepreneurship and engineering: the triumph of All India Warehousing Private Ltd. Subject area – Operations management. Study level/applicability – Logistics, Warehousing, India. Case overview – Joy Banerjee and Gaurav Tripathi have recently joined as Managers in the Planning Department at All India Warehousing Private Limited (AIWPL). Their on-job training is completed. They have met with almost all the officials at the warehouse, have interacted with labour to understand the company and its functions, and are planning to meet Kamlesh Patel, their Managing Director, to discuss the challenges and opportunities and to suggest strategies. Will they be able to make a satisfactory presentation to Kamlesh Patel on the company performance and the parameters that are going to be crucial to AIWPL ' s continued success? This case study may prove useful to practicing managers and management students on understanding the working of a family run private warehouse, business environment in the warehousing sector, use of technology and organizational capability to manage multi-product, multi-location warehouses. Expected learning outcomes – To illustrate typical organizational responsibility structure at a private warehousing site. To illustrate the planning and administrative control mechanism in implementing strategy at a warehousing site. Offer students opportunity to understand and take view of a typical operational (project) structure. Opportunity for students to speculate adaptations in the wake of ever-changing business and company environment. Opportunity to introduce Logistic Scenario in India, warehousing technology and relate with the case in context. Supplementary materials – Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

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Singbal, Vishwesh, Gajendra K. Adil, and Rakesh Venkitasubramony. "Case Article—Forward-Reserve Storage Design: A Case of Carriage Repair Workshop, Indian Railways." INFORMS Transactions on Education 21, no. 1 (September 2020): 30–34. http://dx.doi.org/10.1287/ited.2019.0228ca.

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Case studies are useful in imparting decision-making skills to students. Warehousing is a critical part of most supply chains, but case studies based on warehousing methods and operations therein are rare. Recognizing the need to bridge this gap, a case study is designed to present a real-life scenario at the carriage repair workshop of Indian Railways. The case study facilitates the learning of students regarding operations in automated warehousing and relevant storage strategies. Additionally, the case encourages the students to explore the use of heuristics and optimization models. This case article highlights the major learning objectives of the case study and discusses the classroom teaching experience. This case can be used in various courses and the case questions can be selected based on the teaching objectives and/or the educational background of the students.

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Zhan, Xiangnan, Liyun Xu, and Xufeng Ling. "Task Scheduling Problem of Double-Deep Multi-Tier Shuttle Warehousing Systems." Processes 9, no. 1 (December 26, 2020): 41. http://dx.doi.org/10.3390/pr9010041.

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Double-deep multi-tier shuttle warehousing systems (DMSWS) have been increasingly applied for store-and-retrieval stock-keeping unit tasks, with the advantage of a reduced number of aisles and improved space utilization. Scheduling different devices for retrieval tasks to increase system efficiency is an important concern. In this paper, a Pareto optimization model of task operations based on the cycle time and carbon emissions is presented. The impact of the rearrangement operation is considered in this model. The cycle time model is converted into a flow-shop scheduling model with parallel machines by analyzing the retrieval operation process. Moreover, the carbon emissions of the shuttle in the waiting process, the carbon emissions of the lift during the free process, and the carbon emissions of the retrieval operation are considered in the carbon emissions model, which can help us to evaluate the carbon emissions of the equipment more comprehensively during the entire retrieval task process. The elitist non-dominated sorting genetic algorithm II (NSGA-II) is adopted to solve the non-linear multi-objective optimization function. Finally, a real case is adopted to illustrate the findings of this study. The results show that this method can reduce carbon emissions and improve system efficiency. In addition, it also help managers to reduce operational costs and improve the utilization of shuttles.

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Okeudo, Geraldine, and Okoli Margaret. N. "The Impact of Marketing Mix (4Ps) on Warehousing Operations: Case Study of Unilever Nigeria PLC." American Journal of Business and Management 2, no. 2 (May 30, 2013): 155. http://dx.doi.org/10.11634/216796061706282.

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The study investigates the impact of marketing mix (4ps) on warehousing operations with a case study of Unilever Nigeria Plc. with objectives to aim at establishing a link between the resultant effects of marketing mix efforts on warehousing operations to find challenges and opportunities to improve on. Data used where secondary data collected from the warehouse activity profiles. Through-put/hour is used the estimated the activity at the warehouse; Sales in volumes is used the estimated the sales level. Data was analysed the regression model to determine what influence that marketing mix elements has on warehouse activity levels. Findings show that the higher sales go the higher the activities that constitute warehousing operations in the warehouse and price and promotional activities has a low influence on this warehouse operations. Consequently, it was concluded that the price and promotion activities have low influence on the model while sales-in-volume has the highest influence on the model. The relationship shows that the higher the volume-in-sales the activity is the warehouse operations while price and promotion activities do not have consider impact on these activities. We therefore recommend that Companies should develop better internal information system so as to effectively convey the information on real time basis within the firm especially when these warehouses are operated of decentralized policy.

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Skintzi, Georgia, George Ioannou, and Gregory Prastacos. "Investigating warehousing policies." International Journal of Production Economics 112, no. 2 (April 2008): 955–70. http://dx.doi.org/10.1016/j.ijpe.2007.08.004.

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Choy, K. L., N. Sheng, H. Y. Lam, Ivan K. W. Lai, K. H. Chow, and G. T. S. Ho. "Assess the effects of different operations policies on warehousing reliability." International Journal of Production Research 52, no. 3 (August 12, 2013): 662–78. http://dx.doi.org/10.1080/00207543.2013.827807.

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Johnson, Andy, Wen-Chih Chen, and Leon F. McGinnis. "Large-scale Internet benchmarking: Technology and application in warehousing operations." Computers in Industry 61, no. 3 (April 2010): 280–86. http://dx.doi.org/10.1016/j.compind.2009.10.006.

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Han, Qing Tian. "Study on Simulation Optimization of Modern Storage System." Applied Mechanics and Materials 333-335 (July 2013): 2286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2286.

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Firstly, on the basis of analyzing the characteristics of the modern storage system, the compound process of warehousing systems simulation model was built; Then, warehousing operations were simulated under the orderly storage model, and the improved design was carried out for the congestion problem; Finally, simulation results were analyzed. Results show that the improved device configuration makes full use of each machinery and equipment, and improves the efficiency of the whole warehouse system.

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Dmitriev, A., and N. Barkova. "APPLICATION OF THE METHOD OF LEAN PRODUCTION IN THE SERVICES SECTOR." Vestnik Universiteta 1, no. 7 (September 7, 2019): 94–99. http://dx.doi.org/10.26425/1816-4277-2019-7-94-99.

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The explanation of the essence of the method of lean production has been given and its goals. The question has been answered, why the method will work successfully not only in the production sector, but also in the service sector. It has been supposed, that the method of lean production can be actively implemented in the provision of warehousing services. A number of measures for the organization of warehousing on the basis of the principles of lean manufacturing has been offered, among which are allocated the following: improving the reliability of the collection of orders for shipment, optimization of warehouse space, reducing the number of warehouse operations and time to perform these operations.

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Goh, Shao Hung. "Barriers to low-carbon warehousing and the link to carbon abatement." International Journal of Physical Distribution & Logistics Management 49, no. 6 (August 15, 2019): 679–704. http://dx.doi.org/10.1108/ijpdlm-10-2018-0354.

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Purpose Warehouses are large emitters of greenhouse gases and their impact on climate change is under increasing focus. The purpose of this paper is to investigate the barriers that inhibit the adoption of low-carbon warehousing in Asia-Pacific and their links to carbon abatement performance. Design/methodology/approach An exploratory conceptual model was first developed from a literature review of the general barriers to sustainable supply chain practices and hence potentially in low-carbon warehousing. A large contract logistics services provider in the Asia-Pacific served as the subject of a case study. The perceived barriers to low-carbon warehousing were derived from an internal survey of respondents from the case company and regressed against carbon abatement outcomes at that organization’s operations across the region. Findings Results show that the case company reduced carbon emissions by 36 percent on a revenue-normalized basis between 2008 and 2014, but with relatively lower success in emerging markets vs mature markets. An Elastic Net regression analysis confirms that technology and government-related factors are the most important barriers in the case company’s efforts to “decarbonize” its local warehousing operations. However, results suggest that the customer-related barrier, which is highly correlated with the government barrier, is in part driven by the latter. Research limitations/implications This case study is based on a single multinational company in Asia-Pacific, but nonetheless serves as an impetus for more cross-sectional studies to form an industry-wide view. Originality/value An extended stewardship framework based on the natural resource-based view has been proposed, in which logistics services providers take on a proactive boundary-spanning role to lower the external barriers to low-carbon warehousing.

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Lubitz, Dag Von, and Frederic Patricelli. "Network-centric healthcare operations: data warehousing and the associated telecommunications platforms." International Journal of Services and Standards 3, no. 1 (2007): 97. http://dx.doi.org/10.1504/ijss.2007.011830.

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Li, Zhengping, Malcolm Yoke Hean Low, and Roland Yan Guan Lim. "Optimal decision-making on product allocation for crossdocking and warehousing operations." International Journal of Services Operations and Informatics 4, no. 4 (2009): 352. http://dx.doi.org/10.1504/ijsoi.2009.029184.

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Story, Cyndie, Jeannie Sneed, Charlotte B. Oakley, and Theresa Stretch. "Emergency Preparedness Needs Assessment of Centralized School Foodservice and Warehousing Operations." Journal of the American Dietetic Association 107, no. 12 (December 2007): 2100–2104. http://dx.doi.org/10.1016/j.jada.2007.09.007.

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Chakraborty, Sonali Ashish. "A Novel Approach Using Non-Synonymous Materialized Queries for Data Warehousing." International Journal of Data Warehousing and Mining 17, no. 3 (July 2021): 22–43. http://dx.doi.org/10.4018/ijdwm.2021070102.

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Data from multiple sources are loaded into the organization data warehouse for analysis. Since some OLAP queries are quite frequently fired on the warehouse data, their execution time is reduced by storing the queries and results in a relational database, referred as materialized query database (MQDB). If the tables, fields, functions, and criteria of input query and stored query are the same but the query criteria specified in WHERE or HAVING clause do not match, then they are considered non-synonymous to each other. In the present research, the results of non-synonymous queries are generated by reusing the existing stored results after applying UNION or MINUS operations on them. This will reduce the execution time of non-synonymous queries. For superset criteria values of input query, UNION operation is applied, and for subset values, MINUS operation is applied. Incremental result processing of existing stored results, if required, is performed using Data Marts.

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Dza, Mawuko, and Evans Kyeremeh. "Warehousing and Material Handling Practices in Ghana: A Tale of Tradition and Modernity." Public Administration Research 7, no. 2 (September 19, 2018): 1. http://dx.doi.org/10.5539/par.v7n2p1.

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The paper investigates warehousing and material handling practices in the civil service of Ghana. The purpose is to ascertain the level of transition from fully manual operations to the integration of technology in warehousing and material handling operations in selected Metropolitan, Municipal and District Assemblies (MMDAs). Data were collected from 40 MMDAs cross the current 10 regions of Ghana. The study noted among others that, most warehouses lacked basic mechanical equipment for effective and efficient operations. Warehouse automation was completely non-existent in all selected Assemblies. In the case of material handling, the research discovered that very little effort has been made to equip employees with the requisite handling equipment for the execution of tasks. The study further revealed that there was virtually no in-service training on effective material handling practices in the civil service of Ghana. Indeed, practitioners most often use their bare hands and feet in handling all forms of materials including hazardous chemicals. The study also indicated that, on few instances where some handling and protective equipment were made available, most employees refused to use them citing reasons that bother on culture and tradition. The study concludes that it is imperative for authorities to put in place policies to protect practitioners in the execution of tasks. Thus, there should be an efficient change management system to ensure a gradual paradigm shift from obsolete warehousing and material handling practices to a much-integrated system where aspects of manual, mechanical and automated systems are combined.

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Suknovic, Milija, Milutin Cupic, Milan Martic, and Darko Krulj. "Data warehousing and data mining: A case study." Yugoslav Journal of Operations Research 15, no. 1 (2005): 125–45. http://dx.doi.org/10.2298/yjor0501125s.

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This paper shows design and implementation of data warehouse as well as the use of data mining algorithms for the purpose of knowledge discovery as the basic resource of adequate business decision making process. The project is realized for the needs of Student's Service Department of the Faculty of Organizational Sciences (FOS), University of Belgrade, Serbia and Montenegro. This system represents a good base for analysis and predictions in the following time period for the purpose of quality business decision-making by top management. Thus, the first part of the paper shows the steps in designing and development of data warehouse of the mentioned business system. The second part of the paper shows the implementation of data mining algorithms for the purpose of deducting rules, patterns and knowledge as a resource for support in the process of decision making.

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Bondarenko, Natalya, and Olha Feloniuk. "Organization of Warehouse Accounting of Production Inventories at the Enterprise." Accounting and Finance, no. 2(92) (2021): 11–18. http://dx.doi.org/10.33146/2307-9878-2021-2(92)-11-18.

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The truthfulness and impartiality of all indicators, reflected in the financial statements, depend on the reliability and objectivity of the accounting of all business transactions, including those related to the movement of inventories in warehouses. The organization of warehousing is the choice and justification of the type and composition of warehouses, their location, size, equipment, as well as in the defined order of operation of warehouses, depending on the functions they perform. The purpose of the article is to study the order of organization of inventory and identify problems in its implementation in modern conditions. The definition of “warehouse” was analyzed in the context of logistics theory, the tasks of warehouses at the enterprise were revealed. Documentary support of accounting of operations with production stocks at all stages of the process of their circulation was systematized. It was found that in practice a significant number of domestic enterprises neglect the rational organization of warehousing, which in general affects the overall management of the enterprise. Achieving efficient use of stocks is possible only with proper organization of internal control over their use and movement. It is established that with the correct organization of warehousing is the establishment of close ties with the managers of the enterprise and the accounting department, which ultimately affects the efficiency of accounting. Warehouses should be located not in isolation, but in easily accessible places for the company, with good transport links, which is a necessary condition for ensuring the efficiency of the logistics chain. Hiring skilled warehouse workers is a guarantee of organized warehousing, which will ensure the effective performance of warehouse functions, as well as obtaining high profitability.

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Johnson, Steven L. "A Computer-Based Job Analysis System Designed to be Used by Operational Personnel in Warehousing Operations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 28 (July 2000): 437–40. http://dx.doi.org/10.1177/154193120004402804.

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Baruffaldi, Giulia, Riccardo Accorsi, Riccardo Manzini, and Emilio Ferrari. "Warehousing process performance improvement: a tailored framework for 3PL." Business Process Management Journal 26, no. 6 (February 11, 2020): 1619–41. http://dx.doi.org/10.1108/bpmj-03-2019-0120.

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PurposeThird-party logistic providers (3PLs) continuously strive for controlling and improving their performances to gain a competitive advantage. The challenging environment where they operate is affected by high variety in type and number of clients, the inventory mix and the demand profiles they have to meet. Consequently, better understanding the dynamics of warehousing operations and the characteristics of the inventory mix is critical to handle such a complexity.Design/Methodology/approachThis paper proposes a decision-support framework, suited for 3PL warehouse practitioners, that aids to design and implement effective and affordable activities for measuring and improving the warehousing performances. Such goal is pursued by the framework by leading the managers through an initial mapping and diagnosis of the system, then by developing a tailored measurement system to track the performance, paving the way to the identification of the criticalities and the potential improvement scenarios.FindingsThis paper presents a case study on the implementation of the proposed framework at a warehouse of an Italian 3PL provider to introduce a new storage assignment policy and reduce the travelling time for order picking. Furthermore, the paper exemplifies how the framework contributes to enhance the awareness of managers on warehousing operations and the involvement of the personnel throughout the improvement process.Practical implicationThe proposed framework can be implemented by operations managers of 3PL warehouses who want to pursue general performance improvement projects. With respect to the case study, this framework contributes to identify the storage assignment policy that reduces the travelling for order picking in the observed warehouse of 8 percent in a month but is intended to address to even other areas of improvement in 3PL warehousing environments.Originality/valueInstead of focusing on the proper methods and models that optimize a specific task or performance indicator, it provides a general framework that leads the managers through the decisional process, from the preliminary diagnosis of the system, to its benchmarking, towards the implementation of corrective and improving solutions.

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Kim, Jiyun, and Han-joon Kim. "Multidimensional Text Warehousing for Automated Text Classification." Journal of Information Technology Research 11, no. 2 (April 2018): 168–83. http://dx.doi.org/10.4018/jitr.2018040110.

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This article describes how, in the era of big data, a data warehouse is an integrated multidimensional database that provides the basis for the decision making required to establish crucial business strategies. Efficient, effective analysis requires a data organization system that integrates and manages data of various dimensions. However, conventional data warehousing techniques do not consider the various data manipulation operations required for data-mining activities. With the current explosion of text data, much research has examined text (or document) repositories to support text mining and document retrieval. Therefore, this article presents a method of developing a text warehouse that provides a machine-learning-based text classification service. The document is represented as a term-by-concept matrix using a 3rd-order tensor-based textual representation model, which emphasizes the meaning of words occurring in the document. As a result, the proposed text warehouse makes it possible to develop a semantic Naïve Bayes text classifier only by executing appropriate SQL statements.

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Frias, Armindo, Rodrigo Delaunay, and Pedro B. Água. "Operations Engineering for Food Warehousing Improvement: A case study from the Navy." International Journal of Industrial Engineering and Management 12, no. 3 (September 30, 2021): 206–15. http://dx.doi.org/10.24867/ijiem-2021-3-288.

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Hilletofth, Per, and Olli‐Pekka Hilmola. "Role of logistics outsourcing on supply chain strategy and management." Strategic Outsourcing: An International Journal 3, no. 1 (February 23, 2010): 46–61. http://dx.doi.org/10.1108/17538291011023070.

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PurposeThe purpose of this paper is to investigate the effects of logistics outsourcing in Northern Europe through survey research. Research work intends to shed more light on logistics outsourcing with other than case‐based company examples.Design/methodology/approachSurvey was completed during late 2007 and early 2008 in Finland and Sweden for the largest companies in industrial and service sectors. Altogether 34 answers were received, and they were gained mostly from industrial and trading companies.FindingsThe research results show that warehousing, IT, and customs brokerage outsourcing could have impact on some managerial and strategic aspects of supply chains (SC). Thus, none of the identified difference areas was found to be statistically significant. Potential impact areas of SC strategy and management are integrated IT systems of manufacturing and logistics, reverse logistics procedures, and re‐engineering of logistics processes. However, research shows that in‐house produced IT function, and potentially outsourced warehousing, have important roles in more international purchasing.Research limitations/implicationsAltogether, the amount of responses in the survey was relatively low, but treating Finnish and Swedish companies as one group gives us some opportunity for statistical analysis. This grouping might be one limiting factors of our study, and especially in its generalization power; however, our earlier analysis with the data shows that these countries operate in a rather similar interest area. Another limiting factor of our research findings is the difference in respondent profiles – operating principles of logistics and trade companies are different as compared to manufacturing.Practical implicationsResearch shows that IT is potentially having an important role in both, international purchasing emphasis as well as on warehousing outsourcing activities. Contrary to the common view, this research gives some indication that in‐house IT is valuable, and more integrated applications are needed for example, when warehousing is being outsourced.Originality/valueThis is one of the seminal research works regarding North European outsourcing practices, and their affects on SC strategies and management. Both of the countries have an advanced industrial sector, which gives perspective for the readers world wide.

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Vatumalae, Vellian, Premkumar Rajagopal, and Veera Pandiyan Kaliani Sundram. "Warehouse Management System of a Third Party Logistics Provider in Malaysia." International Journal of Economics and Finance 12, no. 9 (August 25, 2020): 73. http://dx.doi.org/10.5539/ijef.v12n9p73.

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This study aims to explore the significant benefits gained from the implementation of the Warehouse Management System in 3rd Party Logistics Service Provider. A qualitative research approach been adopted by conducting an in-depth case study in one of Halal third-party logistics (3PLs) company located in central Malaysia, offering most of the logistics services, including transportation and warehousing. Information obtained from the warehouse operations managers in understanding the overall benefit of the warehouse management system. As a result of the highly competitive in 3rd party logistics market, environment companies are continuously forced to improve their warehousing operations into a system based applications. Many 3rd party logistics companies have also customized their value proposition to meet better customer demands, which has led to changes in the role of warehouses. The findings of this study have significant implications for both academicians and the 3PLs organizations to further explore the theories, practices, and the implementation of the Warehouse Management System in the warehouse operations. The future studies may lead to an investigation of the relationship of the warehouse management system with 3PL business competitiveness among the 3PL’s organization.

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Et. al., M. Shashidharan,. "Importance of an Efficient Warehouse Management System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 1185–88. http://dx.doi.org/10.17762/turcomat.v12i5.1784.

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: In the preview of efficient supply chain management, the warehouse operations play a vital role. The warehouse operation is crucial since it act as the hub were the nodes are connected to the respective spokes. In the current environment it is very much essential to become competitive in a sustainable way. The warehousing operation is the key in order to meet the customers demand and hence it has to be continuously improved. The continuous improvement can be in a way obtained by being flexible in meeting the customers demand based upon their unique requirements. In this article the efficiency of the overall performance of warehouse operation is studied using questionnaire as the tool.

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Anđelković, Aleksandra, Marija Radosavljević, and Danijela Stošić. "Effects of Lean Tools in Achieving Lean Warehousing." Economic Themes 54, no. 4 (December 1, 2016): 517–34. http://dx.doi.org/10.1515/ethemes-2016-0026.

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Abstract The acceptance of lean philosophy in the company means not only respecting the lean principles in the manufacturing but in all the processes that are performed inside the company. All processes in the company that are a potential places for making losses and waste and thus require the application of lean principles. Among others, warehouse and warehouse operations, as a centre of costs and waste, must be supported through the implementation of lean philosophy in the company by respecting lean principles. The implementation of lean principles in the warehouse is a certain step of improvement warehouse process and performance, but also of the whole company. In that sense, the paper presents the analysis of the warehousing process and its performances before and after implementation of the lean tools in a selected Serbian company as a practical example. In addition, research shows which parts of warehousing need to be improved, in analysed company, as well as correlation between the individual parts of warehousing, according to employees' opinion from next sectors: purchasing, production and logistics.

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Kłodawski, Michał, Konrad Lewczuk, Ilona Jacyna-Gołda, and Jolanta Żak. "Decision making strategies for warehouse operations." Archives of Transport 41, no. 1 (March 13, 2017): 43–53. http://dx.doi.org/10.5604/01.3001.0009.7384.

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The paper presents issues related to design and organization of the warehouse process. Draws attention to problems of modelling logistics facilities and processes occurring in them. Paper also points out the essence of correct operation of warehouses and associated with this risks for supply chain. Warehouse processes have been properly defined and divided into smaller components, like: phases of process, activities, sets of procedures, procedures or working movements. Paper presents various possible configurations of warehouse processes, which were named as warehouse strategies. Warehouse process strategy is a part of warehousing. It determines the sequence of warehouse operations. These operations are related to internal transport, cargo form transformation and cargo buffering. In paper it is noted that the warehouse strategy depends on the several technical and organizational factors and is associated with a certain probability. This probability can be estimated based on data analysis concerning logistics processes in the specified warehouse facility. As shown in case study, appropriate selection of warehouse strategies determines possibility of fulfilling customer order in time and costs that are acceptable for him.

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Wang, Qian, and Jack Yi Tan. "A Reconfigurable Mechanism of Cantilever Storage Racks." Advanced Materials Research 875-877 (February 2014): 863–67. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.863.

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An automated warehousing system often consists of storage modules, storage and retrieval mechanism, lifting equipment and conveyor systems. These facilities are used to overcome some disadvantages of manually operated warehousing systems which often lead to a high frequency of human errors, high labour cost and low efficiency. The usage of these automated facilities may also be helpful to maximise utilisation of shop floor space and improve efficiency of warehousing operations. On the other hand, at this age of information technology that the access to the internet is just at the fingertip, it has been seen a rising trend for online shopping in the past decade. Thus, manufacturers, suppliers or distributors have been seeking for even more efficient and effective new methods to store and distribute their goods. A number of studies through a literature review suggest that future generation warehouses may be designed and implemented as more centralised and distributed warehousing systems in which customers place their orders on-line and goods will then be dispatched directly to their door steps from these centralised distribution centres. This paper presents a proposal for designing and implementing future generation warehousing systems using fast-growing IT technologies such as radio frequency identification (RFID), wireless sensors and networks. The overall purpose of this study is to develop a conceptual design of an integrated system for future generation automated warehouses by incorporating a new design of storage and retrieval modules with the applications of these IT technologies used for automation activities. The presentation of this paper only highlights the part of this work including a design of a core mechanism for automated storage module namely the cantilever storage racks, which have the feature of scalability and reconfigurability.

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Mallek, Hana, Faiza Ghozzi, and Faiez Gargouri. "Towards Extract-Transform-Load Operations in a Big Data context." International Journal of Sociotechnology and Knowledge Development 12, no. 2 (April 2020): 77–95. http://dx.doi.org/10.4018/ijskd.2020040105.

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Big Data emerged after a big explosion of data from the Web 2.0, digital sensors, and social media applications such as Facebook, Twitter, etc. In this constant growth of data, many domains are influenced, especially the decisional support system domain, where the integration of processes should be adapted to support this huge amount of data to improve analysis goals. The basic purpose of this research article is to adapt extract-transform-load processes with Big Data technologies, in order to support not only this evolution of data but also the knowledge discovery. In this article, a new approach called Big Dimensional ETL (BigDimETL) is suggested to deal with ETL basic operations and take into account the multidimensional structure. In order to accelerate data handling, the MapReduce paradigm is used to enhance data warehousing capabilities and HBase as a distributed storage mechanism. Experimental results confirm that the ETL operation performs well especially with adapted operations.

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Wang, Tingting, Ruoyan Dong, Rui Zhang, and Dongchen Qin. "Research on Stability Design of Differential Drive Fork-Type AGV Based on PID Control." Electronics 9, no. 7 (June 30, 2020): 1072. http://dx.doi.org/10.3390/electronics9071072.

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As one of the important components of intelligent warehousing logistics, Automated Guided Vehicles (AGVs) have greatly improved the efficiency of warehousing operations. AGVs are responsible for the delivery of goods in warehousing and logistics, and it is extremely important to maintain a stable running state. In this paper, an AGV in-situ steering dynamic model is established according to the actual size, and the center deviation phenomenon during AGV steering is theoretically analyzed to obtain the parameters that affect the AGV’s in-situ steering stability. Secondly, the dynamic simulation method is used to analyze the law of the stability of the AGV in-situ steering parameters to verify the correctness of the theoretical derivation equation. According to the analysis results, the motion parameters related to AGV in-situ steering are analyzed, and a reasonable design scheme is given. Based on the optimized fork-type AGV, the AGV in-situ steering control strategy is studied, and the adaptive fuzzy PID control algorithm is used to construct the fork-type AGV steering control system. Then the software and hardware design of the AGV steering control system is carried out. The optimized fork-type AGV has been turned to work stably after commissioning, meeting the actual work requirements.

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Nova, Andréa R. A. P. V., and Marcele Elisa Fontana. "Integrative conceptual framework to support decisions on warehousing operations in forward and reverse flow." International Journal of Logistics Systems and Management 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijlsm.2020.10030752.

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Syanda, Kennedy Kyalo, and Dr Pamela Getuno. "INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA." International Journal of Supply Chain and Logistics 3, no. 4 (October 4, 2019): 80. http://dx.doi.org/10.47941/ijscl.v3i4.339.

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Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

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Syanda, Kennedy Kyalo, and Dr Pamela Getuno. "INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA." Journal of Business and Strategic Management 4, no. 1 (October 4, 2019): 69. http://dx.doi.org/10.47941/jbsm.338.

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Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

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Syanda, Kennedy Kyalo, and Dr Pamela Getuno. "INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA." International Journal of Supply Chain and Logistics 3, no. 4 (October 4, 2019): 80–98. http://dx.doi.org/10.47941/ijscl.339.

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Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

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Peng, Jian Liang. "Design and Development of Warehouse Management System of Inland River Port." Advanced Materials Research 181-182 (January 2011): 72–77. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.72.

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Inland river port has a unique advantage in the transport industry. In order to improve the efficiency of operation and management and optimize workflow, it is urgent to design and development of a suitable warehouse management system. Based on field research river port CX, a practical personalized warehouse management system is designed and developed. The practical operation shows that the warehouse management system runs normally and achieves the various basic operation functions of warehouse management. It includes receiving, warehousing, delivery, a library, direct shipment, transfer, query, user management, setting of basic information and other functions, can basically meet the company's individual business needs. In addition, the designs of various types of schedules also greatly help the company to conduct business operations. However, for the system to improve a grade, it is needed to improve appropriately in the follow-up.

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Sardar, Souryajyoti, Pulastya Bandyopadhyay, and Anirban Sanyal. "A Comprehensive Data and Project Management Platform: A Case Study of a Central Bank." Journal of Information & Knowledge Management 15, no. 03 (July 26, 2016): 1650026. http://dx.doi.org/10.1142/s021964921650026x.

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This study considers an efficient way to manage different aspects of a Central Bank’s Data Warehousing project using a custom built data and project management platform. Although the key aspect of managing a Data Warehouse is of course data management, but simultaneously the management of on-going projects related to data integration, website, internal and external human resources, etc. are also important. Data Warehousing in Central Banks is strategically different with other Commercial Bank/Corporate Data Warehousing project in terms of functionality/purpose. A typical Data Warehouse of a Commercial Bank or Corporate body primarily consists of the data generated out of their business operations. On the other hand, a Central Bank collects data from such Commercial Banks, Corporate bodies or Regulatory bodies for regulatory or supervisory purpose along with data on various subject domains allied to central banking compiled within the organisation. As a result, management of such diverse data sources is a major challenge for every central bank. Further, the traditional project management concepts are not applicable as-it-is in the context of a Central Bank. Keeping in view these particularities, and the shortcomings of available commercial project management tools, a comprehensive Information Management System has been built in Reserve Bank of India. The development was done in-house and based on open source platform. The salient features of this system are: (1) An all-in-one monitoring platform to monitor different aspects of Data Warehousing and Data Management project through a single window. (2) Scalability. (3) Cross-platform usability. This study presents the background, design and development of the system in detail.

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He, Xin James, and Myron Sheu. "Data warehousing for supply chain management with case analysis." International Journal of Management and Enterprise Development 3, no. 5 (2006): 438. http://dx.doi.org/10.1504/ijmed.2006.009569.

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Journal articles on the topic 'Warehousing operations'

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