Journal articles: 'Warehouse performance'

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Kusrini, Elisa, Fadrizal Novendri, and Vembri Noor Helia. "Determining key performance indicators for warehouse performance measurement – a case study in construction materials warehouse." MATEC Web of Conferences 154 (2018): 01058. http://dx.doi.org/10.1051/matecconf/201815401058.

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Warehouse performance measurement is needed to improve performance of logistics system. In order to improve warehouse performance, it is necessary to identify Key Performance Indicator (KPI). Different warehouses have different KPI, therefore this research aims to identify the most important KPI of warehouse so that warehouse manager can determine corrective actions in their warehouse efficiently and effectively. In this research, 25 KPI of warehouse are identified in five warehouse activities based on Frazelle model. The most important KPI are then determined in each warehouse activity using Analytical Hierarchy Process (AHP). Warehouse performance are measured and final score is determined using SNORM. Improvement steps are proposed base on benchmarking among warehouses. Warehouse performance measurement is conducted in 5 construction’s material warehouses located in Yogyakarta, Indonesia. From this study, it is found that most important KPI for receiving is productivity (receive per man-hour), KPI for put away is cycle time (put away cycle time), KPI for storage is utilization (% location and cube occupied), KPI for order picking is cycle time (order picking cycle time) and KPI for shipping is productivity (order prepared for shipment per man-hour). Improving warehouse performance could be done by comparing warehouse performance with the best performance among peer group.

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Phan, Mai Ha, Ha Quang Thinh Ngo, Tien Trung Kieu, and Linh Y. Thai. "Redesigning Finished Product Warehouse Layout - A Case Study." Applied Mechanics and Materials 902 (September 2020): 103–13. http://dx.doi.org/10.4028/www.scientific.net/amm.902.103.

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System engineering methods are often used to design complex systems like airplanes. However, this method is also useful to propose solutions to redesign logistics systems such as warehouses and transport systems. This paper will apply system engineering in analyzing the late order problem at a pesticide company, thereby surveying stakeholders needs for warehouse re-designing. The functional analysis in the warehouse will be carried out in the concept analysis section to propose warehouse’s layout redesign alternatives that based on the demand of storage capacity and throughput. The authors also used the AHP method to select the final design layout. The detailed design section builds the operation process for the warehouse as well as the codification for commodity storage slots along with these tables forms that support for warehouse management. These solutions increase warehouse performance as well as the utilization in warehouses when applied in practice. Therefore, the system engineering method should be used in warehouse’s redesign

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Islam, Md Rakibul, Syed Mithun Ali, Amir Mohammad Fathollahi-Fard, and Golam Kabir. "A novel particle swarm optimization-based grey model for the prediction of warehouse performance." Journal of Computational Design and Engineering 8, no. 2 (February 24, 2021): 705–27. http://dx.doi.org/10.1093/jcde/qwab009.

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Abstract Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)—the GM (1, 1) model—is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model—PSOGM (1, 1)—to predict the warehouse’s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model—GAGM (1, 1)—the discrete grey model—DGM (1, 1)—to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.

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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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Akhtar, Pervaiz, and Christian Fischer. "Supervision environments and performance of UK dairy warehouses: a path analysis." British Food Journal 116, no. 6 (May 27, 2014): 1000–1013. http://dx.doi.org/10.1108/bfj-12-2012-0313.

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Purpose – For team leaders or supervisors (functional coordinators (FCs)) warehouses are one of the most difficult places to supervise and manage subordinate workers. FCs themselves can be supervised by their bosses in different ways, either semi-autonomously or in a traditional authoritarian manner. However, different supervision environments for FCs may affect the performance of the warehouses they work in. The purpose of this paper is to investigate the linkages between different supervision environments; FCs’ trust in and satisfaction with their bosses, warehouse service quality and company growth. Design/methodology/approach – Structural equation modelling (path analysis) is applied to a randomly drawn data sample (n=95) of dairy warehouses from the UK. Findings – The results show that semi-autonomous supervision has a strong positive impact on FCs’ trust and satisfaction and on warehouse service quality which positively affects company growth. In addition, FCs’ trust and satisfaction are found to be important antecedents of warehouse service quality and they also directly enhance company growth. In contrast, traditional supervision does not build trust nor creates satisfaction and has a negative direct impact on warehouse service quality. Research limitations/implications – While conducted based on a small sample, the study examines important performance determinants and thus enhances the understanding of how to better manage warehouses in particular in a logistically challenging industry. Originality/value – This study empirically analyses the linkages between supervision environments, warehouse service quality and company growth and thus contributes to determine a best-practice approach for modern warehouse management.

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YAO, CAN-ZHONG, JI-NAN LIN, and XU-ZHOU ZHENG. "MULTIFRACTAL DETRENDED CROSS-CORRELATION ANALYSIS FOR LARGE-SCALE WAREHOUSE-OUT BEHAVIORS." Fractals 23, no. 04 (December 2015): 1550044. http://dx.doi.org/10.1142/s0218348x15500449.

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Based on cross-correlation algorithm, we analyze the correlation property of warehouse-out quantity of different warehouses, respectively, and different products of each warehouse. Our study identifies that significant cross-correlation relationship for warehouse-out quantity exists among different warehouses and different products of a warehouse. Further, we take multifractal detrended cross-correlation analysis for warehouse-out quantity among different warehouses and different products of a warehouse. The results show that for the warehouse-out behaviors of total amount, different warehouses and different products of a warehouse significantly follow multifractal property. Specifically for each warehouse, the coupling relationships of rebar and wire rod reveal long-term memory characteristics, no matter for large fluctuation or small one. The cross-correlation effect on long-range memory property among warehouses probably has less to do with product types,and the long-term memory of YZ warehouse is greater than others especially in total amount and wire rod product. Finally, we shuffle and surrogate data to explore the source of multifractal cross-correlation property in logistics system. Taking the total amount of warehouse-out quantity as example, we confirm that the fat-tail distribution of warehouse-out quantity sequences is the main factor for multifractal cross-correlation. Through comparing the performance of the multifractal detrended cross-correlation analysis (MF-DCCA), centered multifractal detrending moving average cross-correlation analysis (MF-X-DMA) algorithms, the forward and backward MF-X-DMA algorithms, we find that the forward and backward MF-X-DMA algorithms exhibit a better performance than the other ones.

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Tahboub, Khaldoun K., and Loay Salhieh. "Warehouse Waste Reduction Level and Its Impact on Warehouse and Business Performance." Industrial and Systems Engineering Review 7, no. 2 (December 30, 2019): 85–101. http://dx.doi.org/10.37266/iser.2019v7i2.pp85-101.

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Warehouses considered as having a strategic role in supporting the overall competitiveness of the supply chain through achieving improved efficiency. Accordingly, lean thinking have recently found its way in the warehouse operations. The aim of this paper is to propose and test a model to assess the level of waste reduction practices and its impact on warehouse and business performance, and to encourage scholars to develop models to assess lean thinking and waste reduction in warehouse operations. A Delphi technique used in order to develop related questionnaires to measure the degree of waste reduction in the different warehouse activities. The results suggested the existence of a positive relationship between waste reduction activities and business performance and warehouse operational performance. Finally, this paper provides practical implications for warehouse and supply chains managers and directions for future researchers in this field.

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Kusrini, Elisa, Citra Indah Asmarawati, Galuh Masita Sari, Anisa Nurjanah, Alex Kisanjani, Sadiq Ardo Wibowo, and Indro Prakoso. "Warehousing performance improvement using Frazelle Model and per group benchmarking: A case study in retail warehouse in Yogyakarta and Central Java." MATEC Web of Conferences 154 (2018): 01091. http://dx.doi.org/10.1051/matecconf/201815401091.

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Warehouse performance management has an important role in improving logistic's business activities. Good warehouse management could increase profit, time delivery, quality and customer service. This study is conducted to assess performance of retail warehouses in some supermarket located in Central Java and Yogyakarta. Performance improvement is proposed base on the warehouse measurement using Frazelle model (2002), that measure on five indicators, namely Financial, Productivity, Utility, Quality and Cycle time along five business process in warehousing, i.e. Receiving, Put Away, Storage, Order picking and shipping. In order to obtain more precise performance, the indicators are weighted using Analytic Hierarchy Analysis (AHP) method. Then, warehouse performance are measured and final score is determined using SNORM method. From this study, it is found the final score of each warehouse and opportunity to improve warehouse performance using peer group benchmarking

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Morley, Stuart. "Retail warehouse performance." Journal of Retail & Leisure Property 3, no. 2 (October 2003): 142–49. http://dx.doi.org/10.1057/palgrave.rlp.5090171.

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Hamad, Murtadha M., and Muhammed Abdul Raheem. "EVALUATION OF BITMAP INDEX USING PROTOTYPE DATA WAREHOUSE." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (April 30, 2012): 39–42. http://dx.doi.org/10.24297/ijct.v2i1.2614.

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Bitmap indices have become popular access methods for data warehouse applications and decision support systems with large amounts of read-mostly data. This paper could arrive a number of results such as ; Bitmap Index highly improves the performance of Query Answering in Data Warehouses, It highly increases the efficiency of Complex Query processing through using bitwise operations (AND, OR). A prototype of Data Warehouse â€œSTUDENTS DWâ€ has been built according to the conditions of W. Inomn of Data Warehouses. This prototype is built for student's information.

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Gaddis, Elijah. "Work, Play, and Performance in the Southern Tobacco Warehouse." Special Issue - Storied Spaces: Renewing Folkloristic Perspectives on Vernacular Architecture 90-91 (April 29, 2021): 10–23. http://dx.doi.org/10.7202/1076795ar.

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This paper examines tobacco warehouses in the southern United States as sites of both work and play. Using a performative approach in the study of architecture that is rooted in folklife methodology, the essay claims these quotidian working structures as places of celebratory potential amid the strictures of Jim Crow spatial segregation. In particular, it focuses on a series of massive dances held in the elaborately decorated warehouses during the early-to-mid-20th century. During these dances, Black celebrants turned the restrictive social and economic working spaces of the tobacco warehouse into places of radical potential and pleasure. The claims of this essay are supported by both conventional architectural documentation and the oral testimonies of a variety of tobacco workers, musicians, and dancers, who made use of the warehouses for a variety of often conflicting purposes. Told together, their narratives emphasize both spatialized resistance to segregation, and the importance of the ephemeral archives of individual stories and memories to the study of vernacular architectural history.

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Tippabhotla, Srikanth Kumar. "Performance Tuning of Data Warehouse." International Journal of Computer Applications Technology and Research 6, no. 1 (January 13, 2017): 38–41. http://dx.doi.org/10.7753/ijcatr0601.1007.

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Ma, Yixuan, Zhenji Zhang, Alexander Ihler, and Baoxiang Pan. "Estimating Warehouse Rental Price using Machine Learning Techniques." International Journal of Computers Communications & Control 13, no. 2 (April 13, 2018): 235–50. http://dx.doi.org/10.15837/ijccc.2018.2.3034.

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Boosted by the growing logistics industry and digital transformation, the sharing warehouse market is undergoing a rapid development. Both supply and demand sides in the warehouse rental business are faced with market perturbations brought by unprecedented peer competitions and information transparency. A key question faced by the participants is how to price warehouses in the open market. To understand the pricing mechanism, we built a real world warehouse dataset using data collected from the classified advertisements websites. Based on the dataset, we applied machine learning techniques to relate warehouse price with its relevant features, such as warehouse size, location and nearby real estate price. Four candidate models are used here: Linear Regression, Regression Tree, Random Forest Regression and Gradient Boosting Regression Trees. The case study in the Beijing area shows that warehouse rent is closely related to its location and land price. Models considering multiple factors have better skill in estimating warehouse rent, compared to singlefactor estimation. Additionally, tree models have better performance than the linear model, with the best model (Random Forest) achieving correlation coefficient of 0.57 in the test set. Deeper investigation of feature importance illustrates that distance from the city center plays the most important role in determining warehouse price in Beijing, followed by nearby real estate price and warehouse size.

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Mostafa, Noha, Walaa Hamdy, and Hisham Alawady. "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing." Social Sciences 8, no. 3 (March 6, 2019): 84. http://dx.doi.org/10.3390/socsci8030084.

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The emergence of new digital industrial technology, known as Industry 4.0, has a positiveimpact on the performance of the supply chain. Warehouses are a basic part of the supply chain;they are used to store products and manage the inventory level. A sound warehouse managementsystem can lead to cost reduction and also can improve customer satisfaction. Traditionalwarehouse management models have become less efficient and unsuitable for today’s increasingmarket requirements. For the past decades, information and communication technology has beenused for warehouse management. This paper presents a new approach for warehouse managementby utilizing one of the main pillars of Industry 4.0, the Internet of Things. This new technologyenables the connection of several objects through collecting real-time data and sharing them; theresulting information can then be used to support automated decision-making. The architecture ofthis application is illustrated and its potential benefits are overviewed. A framework is proposed toimplement this approach in warehousing management, which can help in providing real-timevisibility of everything in the warehouse, increasing speed and efficiency, and preventing inventoryshortage and counterfeiting. This proposal gives an effective roadmap for enterprises to improvetheir warehouses by using the Internet of Things.

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Kato, Takumi, and Ryota Kamoshida. "Multi-Agent Simulation Environment for Logistics Warehouse Design Based on Self-Contained Agents." Applied Sciences 10, no. 21 (October 27, 2020): 7552. http://dx.doi.org/10.3390/app10217552.

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We propose a multi-agent simulation environment for logistics warehouses. Simulation is a crucial part of designing industrial systems, such as logistics warehouses. A warehouse is a multi-agent system (MAS) that consists of various autonomous subsystems with robots, material-handling equipment, and human workers. It is generally difficult to analyze the performance of a MAS thus, it is important to model a warehouse and conduct simulations to design and evaluate the possible system configurations. However, the cost of modeling warehouses and modifying the models is high because there are various components and interactions compared to conventional multi-agent simulations. We proposed a self-contained agent architecture and message architecture of a multi-agent simulation environment for logistics warehouses to reduce the simulation-model development and modification costs. We quantitatively evaluated our environment in terms of development costs by comparing such costs of our environment and a widely used multi-agent simulation environment.

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Bhan, Madhu, K. Rajinikanth K.Rajinikanth, D. E Geetha, and T. V. S. Kumar. "DWPPT: Data Warehouse Performance Prediction Tool." International Journal of Computer Applications 104, no. 13 (October 18, 2014): 1–8. http://dx.doi.org/10.5120/18259-9183.

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Staudt, Francielly Hedler, Gülgün Alpan, Maria Di Mascolo, and Carlos M. Taboada Rodriguez. "Warehouse performance measurement: a literature review." International Journal of Production Research 53, no. 18 (April 15, 2015): 5524–44. http://dx.doi.org/10.1080/00207543.2015.1030466.

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Yang, Wen-Qiang, Li Deng, Qun Niu, and Min-Rui Fei. "Warehouse scheduling performance analysis considering LHRL." Advances in Manufacturing 1, no. 2 (May 11, 2013): 136–42. http://dx.doi.org/10.1007/s40436-013-0015-4.

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AlAlaween, Wafa’ H., Abdallah H. AlAlawin, Mahdi Mahfouf, Omar H. Abdallah, ‎Mohammad A. Shbool, and Mahmoud F. Mustafa. "A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process." PLOS ONE 16, no. 9 (September 7, 2021): e0256999. http://dx.doi.org/10.1371/journal.pone.0256999.

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A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The proposed algorithm that integrates the GA with the ANP is then utilized to determine the relative importance values of the defined criteria and sub-criteria by considering the interrelationships among them, and assign strength values for such interrelationships. Such an algorithm is also employed to linguistically present the relative importance and the strength of the interrelationships in a way that can circumvent the use of pairwise comparisons. Finally, the audit checklist that consists of questions related to the criteria is integrated with the proposed algorithm for the development of the warehouse assessment scheme. Validated on 45 warehouses, the proposed scheme has been shown to be able to identify the warehouse competitive advantages and the areas where more improvements can be achieved.

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Kovačević, Vlado, Irena Janković, and Vesna Paraušić. "Lending against warehouse receipts: Evidence from Serbia." Ekonomika poljoprivrede 68, no. 2 (2021): 341–55. http://dx.doi.org/10.5937/ekopolj2102341k.

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The paper examines factors influencing development of the public warehouse system. Public warehouse system primary role is to provide stakeholders in agribusiness financing against stored commodity as collateral. Case study is conducted in Serbia. Interviews with banks, analyses of the public warehouse results, computational analyses and intensive literature research were conducted. Most important factors for lending against warehouse receipts from bankers' perspectives are guarantee system performances followed by efficient enforcement procedure, efficient public warehouse surveillance, favourable central bank's rating of warehouse receipts and subsidies. According to the results, Serbian public warehouse legal framework is properly established resulting in fast development of the public warehouse system in first years. After 2014 system deteriorated primarily due to the absence of inspection and Indemnity fund low guarantee performance. Lessons learned from Serbia point out that besides proper legal framework, implementation and favourable business environment are paramount for successful public warehouse system.

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Faber, Nynke, René B. M. De Koster, and Ale Smidts. "Survival of the fittest: the impact of fit between warehouse management structure and warehouse context on warehouse performance." International Journal of Production Research 56, no. 1-2 (November 3, 2017): 120–39. http://dx.doi.org/10.1080/00207543.2017.1395489.

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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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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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Alasta, Amro F., and Muftah A. Enaba. "The Impact of Using Data Warehouse on Manpower Employment Decision Support System." Advanced Materials Research 383-390 (November 2011): 4653–59. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4653.

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Since the use of computers in business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in database. Database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size increases, the need for more control and information retrieval increase. These increases lead to the development of data mining systems and data warehouses. This paper focuses on the use of data warehouse as a supporting tool in decision making. We to study the effectiveness of data warehouse techniques in the sense of time and flexibility in our case study (Manpower Employment). The study will conclude with a comparison of traditional relational database and the use of data warehouse. The fundamental role of data warehouse is to provide data for supporting decision-making process. Data in data warehouse environment is multidimensional data store. We can simply say that data warehouse is a process not a product, for assembling and managing data from various sources for the purpose of gaining a single detailed view of part or all an establishment. The data warehouse concept has changed the nature of decision support system, by adding new benefits for improving and expanding the scope, accuracy, and accessibility of data. The warehouse is the link between the application and raw data, which is scattered in separate database but now is unified. The objectives of this work are to study the impact of using data warehouse on Manpower Employment Decision Support System, in the sense as far as the data quality concern. We will focus on the benefits gained from using data warehouse, and why it is more powerful than the use of traditional databases in decision making. The case study will be the Libyan national manpower employment agency. The data warehouse will collect database scattered from different sources in Libya in order to compare the performance and time.

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Mokrousov, A. S. "Military-Economic Optimization of the Capacity of Field Warehouses Fuel Taking into Account Local Infrastructure." Oil and Gas Technologies 126, no. 1 (2020): 47–52. http://dx.doi.org/10.32935/1815-2600-2020-126-1-47-52.

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This article presents a technique of technical and economic optimization of parameters of the field fuel storage system, reveals the basic requirements for the dispersion of fuel reserves in the field warehouses, their division into current and insurance, ensuring the survivability and performance of the issuance of fuel to the troops, taking into account the technological warehouse equipment.

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Khayrullin, Rustam Zinnatullovich. "The system for statistical analysis of logistic information." Vestnik MGSU, no. 5 (May 2015): 133–40. http://dx.doi.org/10.22227/1997-0935.2015.5.133-140.

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The current problem for managers in logistic and trading companies is the task of improving the operational business performance and developing the logistics support of sales. The development of logistics sales supposes development and implementation of a set of works for the development of the existing warehouse facilities, including both a detailed description of the work performed, and the timing of their implementation. Logistics engineering of warehouse complex includes such tasks as: determining the number and the types of technological zones, calculation of the required number of loading-unloading places, development of storage structures, development and pre-sales preparation zones, development of specifications of storage types, selection of loading-unloading equipment, detailed planning of warehouse logistics system, creation of architectural-planning decisions, selection of information-processing equipment, etc. The currently used ERP and WMS systems did not allow us to solve the full list of logistics engineering problems. In this regard, the development of specialized software products, taking into account the specifics of warehouse logistics, and subsequent integration of these software with ERP and WMS systems seems to be a current task. In this paper we suggest a system of statistical analysis of logistics information, designed to meet the challenges of logistics engineering and planning. The system is based on the methods of statistical data processing.The proposed specialized software is designed to improve the efficiency of the operating business and the development of logistics support of sales. The system is based on the methods of statistical data processing, the methods of assessment and prediction of logistics performance, the methods for the determination and calculation of the data required for registration, storage and processing of metal products, as well as the methods for planning the reconstruction and development of the existing warehouses. The results of approbation of software for the logistics of designing large warehouses of metal trading companies are given.

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Papiernik, Daniel K., Dhruv Nanda, Robert O. Cassada, and William H. Morris. "Data Warehouse Strategy to Enable Performance Analysis." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (January 2000): 175–83. http://dx.doi.org/10.3141/1719-23.

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The Virginia Department of Transportation (VDOT) has engaged to implement an enterprise data warehouse as part of a strategic investment in its information technology (IT) infrastructure. Data warehousing provides an information architecture that serves as the enterprisewide source of data for performance analysis and organizational reporting. To assist VDOT in achieving its strategic outcome area objectives, a programming and scheduling (P&S) data mart is being developed to track preconstruction project activities. This data mart and subsequent data marts function as departmental decision support platforms, enabling VDOT’s operating divisions to perform their own enhanced analytical processing, visualization, and data mining for more informed business decision capabilities. Presented is a case study based on the enterprise data warehouse and P&S data mart being developed and implemented for VDOT by TransCore. Explicitly described is how one VDOT division, Programming and Scheduling, will benefit by investing in IT to achieve its strategic goals. The design approach, methodology, and implementation procedure for the P&S decision support data mart are detailed. The methodology for capturing the performance measures that have been defined by the P&S division in the context of its strategic outcome areas is highlighted. Recommended future direction and the technologies that the agency should adopt to continue to maximize their IT investment are outlined.

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Jian-qiang, Wu, Zhang Lei, and Zhu Guo-qing. "Performance-based Evaluation on the Logistics Warehouse." Procedia Engineering 11 (2011): 522–28. http://dx.doi.org/10.1016/j.proeng.2011.04.691.

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Nasir, J. A., M. K. Shahzad ., and M. A. Pasha . "Data Warehouse Design for Sales Performance Analysis." Information Technology Journal 5, no. 5 (August 15, 2006): 964–69. http://dx.doi.org/10.3923/itj.2006.964.969.

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Saharia, Aditya N., and Yair M. Babad. "Enhancing data warehouse performance through query caching." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 31, no. 2 (May 2000): 43–63. http://dx.doi.org/10.1145/381137.381142.

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Saharia, Aditya N., and Yair M. Babad. "Enhancing data warehouse performance through query caching." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 31, no. 3 (June 2000): 8–9. http://dx.doi.org/10.1145/381823.381831.

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Saharia, Aditya N., and Yair M. Babad. "Enhancing data warehouse performance through query caching." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 31, no. 3 (June 2000): 43–63. http://dx.doi.org/10.1145/381823.381835.

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Mamun, Md Al. "Performance Improvement Techniques for Customized Data Warehouse." IOSR Journal of Computer Engineering 9, no. 3 (2013): 1–5. http://dx.doi.org/10.9790/0661-0930105.

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Armstrong, R. "Seven steps to optimizing data warehouse performance." Computer 34, no. 12 (2001): 76–79. http://dx.doi.org/10.1109/2.970580.

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Hu, Qi, Yutao Chen, and Yuqian He. "Construction and performance analysis of data warehouse based on ship propulsion system." E3S Web of Conferences 248 (2021): 01060. http://dx.doi.org/10.1051/e3sconf/202124801060.

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A large number of operation data will be generated in the process of ship propulsion system operation. Aiming at the processing, analysis and application of these operation data, a data warehouse for propulsion system is constructed based on the operation data of a ship, and the multidimensional analysis and result display of data are realized by combining OLAP technology with visual analysis software tableau. On the basis of the data warehouse, the soft sensing of parameters is applied to the data warehouse. Based on the soft sensing data, the hydrodynamic characteristics of the propeller are studied, and the hydrodynamic characteristic curves of the propeller are obtained. The research of ship propulsion system based on data warehouse provides support for the comprehensive information of propulsion system data.

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Laosirihongthong, Tritos, Dotun Adebanjo, Premaratne Samaranayake, Nachiappan Subramanian, and Sakun Boon-itt. "Prioritizing warehouse performance measures in contemporary supply chains." International Journal of Productivity and Performance Management 67, no. 9 (November 19, 2018): 1703–26. http://dx.doi.org/10.1108/ijppm-03-2018-0105.

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Purpose Due to the importance of efficiency and responsiveness measures rather than just efficiency measures, this research recognizes both measures when considering overall performance of warehouse operations. Thus, the purpose of this paper is to prioritize overall performance measures associated with warehouse operations in manufacturing, third-party logistics service provider and retail industry supply chains. Design/methodology/approach The study uses an integrated approach that involves the Q-sort method to group measures into four categories. Fuzzy analytical hierarchy process was then used to prioritize individual performance measures within each category and integer liner programming model was used to validate prioritized categories, using the judgment of multiple decision makers across three industries. Findings The result shows that the financial category is a dominating performance category in managing warehouse operations across all three industries selected. Within the financial category, cost of insurance accounted for 25 percent of total weight of the category, and is considered to be a powerful measure. The financial category is verified by multiple decision makers across three industries, as the most important performance category. Research limitations/implications As part of adopting the proposed methodology in practice, it needs to be guided by overall methodology appropriate for industry-specific contexts. Originality/value Key novel aspects of this study are to categorize warehouse operations measures and analyze their perspectives in different industries, understand dominant categories of warehouse operations measures in the contemporary supply chain and finally to explore to what extent current practices lead to achieving efficiency and responsiveness in the selected industries.

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Chen, Li. "The Study on Indexing Techniques in Data Warehouse." Key Engineering Materials 439-440 (June 2010): 1505–10. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1505.

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Nowadays, data warehouse has already become the hot spot in database studies. Indexes can potentially speed up a variety of operations in a data warehouse. In this paper, we present several relatively mature index techniques in data warehouse. Then, we give a comparison between them on performance evaluations. This paper focuses on the performance evaluation of three data warehouse queries with three different indexing techniques and to observe the impact of variable size data with respect to time and space complexity.

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Muhalia, Eric Jepherson, Patrick Karanja Ngugi, and Makori Moronge. "EFFECT OF WAREHOUSE MANAGEMENT SYSTEMS ON SUPPLY CHAIN PERFORMANCE OF FAST-MOVING CONSUMER GOODS MANUFACTURERS IN KENYA." International Journal of Supply Chain Management 6, no. 1 (January 8, 2021): 1. http://dx.doi.org/10.47604/ijscm.1192.

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Purpose: The purpose of this study was to establish the effect of warehouse management systems on supply chain performance of fast-moving consumer goods manufacturers in Kenya Methodology: The study adopted descriptive research design. The unit of observation was the operations manager of the 51 FMCG manufacturers located in Nairobi. The sampling frame of the current study consisted of operations managers in the manufacturers of the FMCGs in Nairobi. The study used the census method to select 51 manufacturers of the FMCGs in Nairobi, thus the sample of the study was 51 respondents. Primary data was used in the study. The study used questionnaires to collect data. Mixed methods technique of analyzing data was used where both descriptive and inferential analysis were used. The data collected from the field was analyzed using SPSS 23 program. The questionnaires were referenced and the items in them coded for easier data entry. The presentation of the findings was done using tables. Results: The study found that warehouse management systems positively and significantly influences Supply chain performance of FMCG in Kenya. The study found that the respondents were in agreement that warehouse management system helps to reduce picking errors; warehouse management system facilities the maximum use of storage space; warehouse management system helps to optimize stock control; warehouse management system improves work productivity; and that warehouse management system guide workers through risk assessments and flag up warehouse safety requirements. Unique contribution to theory, practice and policy: The study recommended that when warehouse management systems are improved, supply chain performance of the company improves as well. The study recommends management of the company to ensure they remain informed on the changes in the market to ensure that their warehouse management system is up-to-date and therefore avoid process redundancy and inaccurate inventories. There is a need to use strategic approach in practices of managing logistics by embracing modernized technology and training of employees on the use of the same.

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Muhalia, Eric Jepherson, Patrick Karanja Ngugi, and Makori Moronge. "EFFECT OF WAREHOUSE MANAGEMENT SYSTEMS ON SUPPLY CHAIN PERFORMANCE OF FAST-MOVING CONSUMER GOODS MANUFACTURERS IN KENYA." International Journal of Supply Chain Management 6, no. 1 (January 8, 2021): 1–11. http://dx.doi.org/10.47604/ijscm.1192.

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Purpose: The purpose of this study was to establish the effect of warehouse management systems on supply chain performance of fast-moving consumer goods manufacturers in Kenya Methodology: The study adopted descriptive research design. The unit of observation was the operations manager of the 51 FMCG manufacturers located in Nairobi. The sampling frame of the current study consisted of operations managers in the manufacturers of the FMCGs in Nairobi. The study used the census method to select 51 manufacturers of the FMCGs in Nairobi, thus the sample of the study was 51 respondents. Primary data was used in the study. The study used questionnaires to collect data. Mixed methods technique of analyzing data was used where both descriptive and inferential analysis were used. The data collected from the field was analyzed using SPSS 23 program. The questionnaires were referenced and the items in them coded for easier data entry. The presentation of the findings was done using tables. Results: The study found that warehouse management systems positively and significantly influences Supply chain performance of FMCG in Kenya. The study found that the respondents were in agreement that warehouse management system helps to reduce picking errors; warehouse management system facilities the maximum use of storage space; warehouse management system helps to optimize stock control; warehouse management system improves work productivity; and that warehouse management system guide workers through risk assessments and flag up warehouse safety requirements. Unique contribution to theory, practice and policy: The study recommended that when warehouse management systems are improved, supply chain performance of the company improves as well. The study recommends management of the company to ensure they remain informed on the changes in the market to ensure that their warehouse management system is up-to-date and therefore avoid process redundancy and inaccurate inventories. There is a need to use strategic approach in practices of managing logistics by embracing modernized technology and training of employees on the use of the same.

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Battista, Claudia, Andrea Fumi, Luigi Laura, and Massimiliano M. Schiraldi. "Multiproduct slot allocation heuristic to minimize storage space." International Journal of Retail & Distribution Management 42, no. 3 (March 4, 2014): 172–86. http://dx.doi.org/10.1108/ijrdm-03-2012-0024.

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Purpose – Since developing efficient product-location strategies represents a critical issue in operations management, due to its impact on warehouses performance in terms of both service level and operation costs, this paper aims to focus on possible improvements in the allocation of SKUs, numerically evaluating how these can lead to a reduction of both overall required warehouse space and material handling times. Design/methodology/approach – The undertaken approach focused on translating the warehouse management problem into a vertex colouring problem, modelling it as a multi-criteria problem and solving it through a properly modified algorithm. Findings – The heuristic validation on a real industrial case demonstrated its high optimization potential, and its benchmarking simulations showed performances significantly close to the best conceivable case. Indeed, though using a dedicated storage policy, the gained optimization value turned to be definitively close to the lower bound calculated through a randomized storage policy, which, differently from the proposed solution, must be inevitably supported by a warehouse management system software. Originality/value – This work presents an original multiproduct slot allocation heuristic developed by taking cue from vertex colouring problems and its pragmatic evaluation on a real industrial case; a benchmark with the randomized storage policy is also presented in order to underline the heuristic effectiveness and to point out possible future research opportunities.

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Rücker, Andreas, Jona Rief, and Johannes Fottner. "Development of a method for the energy efficiency determination of stacker cranes in automated high-bay warehouses." FME Transactions 48, no. 4 (2020): 753–60. http://dx.doi.org/10.5937/fme2004753r.

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Modern intralogistic facilities fulfil important tasks within today's supply chains. Many different influences must be taken into account in their planning and construction. Current trends and circumstances show a strong tendency to build energy efficient and therefore environmentally friendly warehouses. This applies to the building technology of a warehouse and the intralogistic system used. Intralogistic facilities with an automated high-bay warehouse are very common and often operated by stacker cranes. This storage technology allows goods to be stored in a very volume and energy-efficient manner. The performance and energy demand of stacker cranes are influenced by a large number of parameters. To determine their energy efficiency is therefore complex. In this paper we present a method based on a simulation study which could be a possible solution for this problem.

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Nguyen Duc, Duy, Thong Tran Huu, and Narameth Nananukul. "A Dynamic Route-Planning System Based on Industry 4.0 Technology." Algorithms 13, no. 12 (November 25, 2020): 308. http://dx.doi.org/10.3390/a13120308.

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Due to the availability of Industry 4.0 technology, the application of big data analytics to automated systems is possible. The distribution of products between warehouses or within a warehouse is an area that can benefit from automation based on Industry 4.0 technology. In this paper, the focus was on developing a dynamic route-planning system for automated guided vehicles within a warehouse. A dynamic routing problem with real-time obstacles was considered in this research. A key problem in this research area is the lack of a real-time route-planning algorithm that is suitable for the implementation on automated guided vehicles with limited computing resources. An optimization model, as well as machine learning methodologies for determining an operational route for the problem, is proposed. An internal layout of the warehouse of a large consumer product distributor was used to test the performance of the methodologies. A simulation environment based on Gazebo was developed and used for testing the implementation of the route-planning system. Computational results show that the proposed machine learning methodologies were able to generate routes with testing accuracy of up to 98% for a practical internal layout of a warehouse with 18 storage racks and 67 path segments. Managerial insights into how the machine learning configuration affects the prediction accuracy are also provided.

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Salhieh, Loay, Safwan Altarazi, and Ismail Abushaikha. "Quantifying and ranking the “7-Deadly” Wastes in a warehouse environment." TQM Journal 31, no. 1 (January 14, 2019): 94–115. http://dx.doi.org/10.1108/tqm-06-2018-0077.

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PurposeThis paper focuses on quantifying and ranking the “7-Deadly” Wastes in the warehouse environment. The purpose of this paper is to develop a prioritized road map that would guide the implementation of the “7-Deadly” Wastes and their related waste-reduction practices in a warehouse environment for improving warehouse operational performance.Design/methodology/approachA four-stage approach was used to achieve the objectives of the study. A Delphi technique was employed to develop indicators of waste-reduction practices at the warehouse activities level and categorize them according to the “7-Deadly” wastes. Whereas categories ranked based on statistical analysis, a regression analysis was used to explore the impacts of this ranking.FindingsThe results of the regression analysis showed a significant influence of the ranked “7-Deadly” wastes on warehouse operational performance. The paper develops a road map for implementing waste-reduction practices in the warehouse.Originality/valueThe paper proposes a road map comprising warehouse waste categories. It develops an integrated approach to quantify, rank and prioritize initiatives to adopt the categories of the “7-Deadly” Wastes that would (not) affect warehouse operational performance.

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Bajec, Patricija, Danijela Tuljak-Suban, and Ivona Bajor. "A Warehouse Social and Environmental Performance Metrics Framework." Promet - Traffic&Transportation 32, no. 4 (July 9, 2020): 513–26. http://dx.doi.org/10.7307/ptt.v32i4.3390.

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To improve the supply chain performance in all three aspects of sustainability (social, economic, and environmental), a comprehensive sustainable performance measurement system that captures all the supply chain partners’ efforts and commitments is required. Warehouse, as the second largest logistics source of environmental pollution in the supply chain has been almost completely overlooked and ignored in the past studies. To fill this gap, a warehouse performance metrics framework for environmental and social performance measures was proposed using a novel Fuzzy Delphi and Best-worst methodological approach. The method is less time-consuming than the Analytic Hierarchy Process or Analytic Network Process, it does not address whether criteria are dependent or independent, requires fewer comparisons of criteria, but still produces reliable and credible results. The presented framework consists of 32 equally formulated environmental and social performance indicators, including formulas and measurement units. The 14 most important indicators are ranked according to the requirements of different stakeholders.

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Moeller, Klaus. "Increasing warehouse order picking performance by sequence optimization." Procedia - Social and Behavioral Sciences 20 (2011): 177–85. http://dx.doi.org/10.1016/j.sbspro.2011.08.023.

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Genaidy, A., A. Khalil, and D. Goyal. "A Reappraisal of Performance Standards for Warehouse Operations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 28 (July 2000): 434–36. http://dx.doi.org/10.1177/154193120004402803.

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Gour, Vishal, Dr S. S. Sarangdevot, and Govind Singh Tanwar. "Performance Tunning Mechanisms for Data Warehouse: Query cache." International Journal of Computer Applications 2, no. 2 (May 10, 2010): 70–75. http://dx.doi.org/10.5120/623-887.

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Novković, Aleksandra, Milan Andrejić, and Milorad Kilibarda. "Performance appraisal and bonus calculation for warehouse employees." Tehnika 75, no. 6 (2020): 790–97. http://dx.doi.org/10.5937/tehnika2006790n.

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The development of global supply chains, market liberalization, and new business trends have contributed to creating more competition in the market and increasing demand. Logistics companies strive to generate revenue by providing services of a higher scope and level of quality, while cost minimization is often associated with a system of calculating salaries and employee benefits. The fluctuation of workers is one of the current problems faced by a large number of companies, so the development of a system that will improve conditions and motivate workers is very important. The paper proposes a model for evaluating work performance and calculating bonuses for employees in the warehouse. The model considers the main performance indicators that refer to work engagement in terms of the number of picked items and presence at the workplace. The sensitivity analysis of the model established the convenience and universality of the application.

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Liu, Rui, Shan Liu, Yu-Rong Zeng, and Lin Wang. "Optimization model for the new coordinated replenishment and delivery problem with multi-warehouse." International Journal of Logistics Management 28, no. 2 (May 8, 2017): 290–310. http://dx.doi.org/10.1108/ijlm-11-2015-0217.

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Purpose The purpose of this paper is to investigate a new and practical decision support model of the coordinated replenishment and delivery (CRD) problem with multi-warehouse (M-CRD) to improve the performance of a supply chain. Two algorithms, tabu search-RAND (TS-RAND) and adaptive hybrid different evolution (AHDE) algorithm, are developed and compared as to the performance of each in solving the M-CRD problem. Design/methodology/approach The proposed M-CRD is more complex and practical than classical CRDs, which are non-deterministic polynomial-time hard problems. According to the structure of the M-CRD, a hybrid algorithm, TS-RAND, and AHDE are designed to solve the M-CRD. Findings Results of M-CRDs with different scales show that TS-RAND and AHDE are good candidates for handling small-scale M-CRD. TS-RAND can also find satisfactory solutions for large-scale M-CRDs. The total cost (TC) of M-CRD is apparently lower than that of a CRD with a single warehouse. Moreover, the TC is lower for the M-CRD with a larger number of optional warehouses. Practical implications The proposed M-CRD is helpful for managers to select the suitable warehouse and to decide the delivery scheduling with a coordinated replenishment policy under complex operations management situations. TS-RAND can be easily used by practitioners because of its robustness, easy implementation, and quick convergence. Originality/value Compared with the traditional CRDs with one warehouse, a better policy with lower TC can be obtained by the new M-CRD. Moreover, the proposed TS-RAND is a good candidate for solving the M-CRD.

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Yaobao, Zhen, Hu Ping, and Yang Shu. "An Improved Particle Swarm Optimization for the Automobile Spare Part Warehouse Location Problem." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/726194.

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This paper deals with a real-life warehouse location problem, which is an automobile spare part warehouse location problem. Since the automobile spare part warehouse location problem is a very complex problem, particle swarm optimization is used and some improved strategies are proposed to improve the performance of this algorithm. At last, the computational results of the benchmark problems about warehouse location problems are used to examine the effectiveness of particle swarm optimization. Then the results of the real-life automobile spare part warehouse location problem also indicate that the improved particle swarm optimization is a feasible method to solve the warehouse location problem.

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Journal articles on the topic 'Warehouse performance'

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