Relevant bibliographies by topics / Warehouse optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Warehouse optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Warehouse optimization"

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Ji, Xinnan. "Overseas Warehouse Location of Cross-Border E-Commerce Based on Particle Swarm Optimization." Journal of Control Science and Engineering 2022 (July 4, 2022): 1–6. http://dx.doi.org/10.1155/2022/9734633.

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In order to solve the problem of cross-border e-commerce warehouses as transit stations and direct selling platforms, the location of a cross-border e-commerce overseas warehouse is deeply studied on the basis of particle swarm optimization. Firstly, it studies the principle of algorithm optimization and algorithm method of particle swarm optimization. Among them, the self-built overseas warehouse mode has high requirements on the construction threshold, which is suitable for large cross-border e-commerce enterprises. The overseas warehouse model is built by a professional third party, which i
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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 (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
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Vaibhavi, Chide Rajashree Dange* Gauri Darandale Chaitali Dhokane Soham Dhokte Dr. S. D. Mankar. "A Review on Good Warehousing Practices." International Journal of Pharmaceutical Sciences 3, no. 4 (2025): 3014–22. https://doi.org/10.5281/zenodo.15277548.

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Warehouse efficiency is now used by organizations as a strategic weapon or as a center of knowledge.  An efficient warehouse can help a business succeed by promptly meeting consumer needs.  Thus, this study aims to investigate the relationship between warehouse features and warehouse efficiency.  This study examines two aspects of warehouses: their design and how they are used.  This article addresses the vital need to preserve data integrity, accuracy, and dependability in contemporary organizational environments by providing a thorough framework for data quality assurance
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Dobrzański, Paweł, and Magdalena Dobrzańska. "Computer simulation of warehouse processes using the Enterprise Dynamics software." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (2018): 1026–29. http://dx.doi.org/10.24136/atest.2018.222.

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The dynamic development of industry and trade in recent years has forced the need to use new solutions in the field of warehouse management. The main reason for the changes being introduced is the optimization of the time of completing warehouse operations while reducing costs. This forces the reorganization of warehouses, warehouse operations and the introduction of modern equipment and devices used during the storage process. To ensure high efficiency and reduction of costs of warehouse processes, appropriate programs and simulation tools are used. The article presents the possibilities and
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Albakar, Faris, Mhd Hazem Alhammamı, Husam Jehad Hasan Omar, Mazen Sımı, Basel Zbeda, and Zehra Düzgit. "OPTIMIZATION OF STOCK KEEPING AND SPACE UTILIZATION POLICY FOR A WAREHOUSE." Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 33, no. 1 (2025): 1608–17. https://doi.org/10.31796/ogummf.1432654.

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This study considers the one-dimensional variable-sized bin packing problem (VSBPP) which is an NP-Hard problem. In this study, the objective is to find an efficient solution that minimizes both the total capacity of the bins used and the number of bins required, thereby optimizing the company's storage policy and saving space within the warehouse. Three algorithms are employed to solve a real warehouse’s VSBPP: i) First Fit Decreasing (FFD), ii) Best Fit Decreasing (BFD), and iii) Next Fit Decreasing (NFD). The warehouse dataset includes items of various sizes, and the goal is to allocate the
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Li, Qi, and Xiao Hong Cheng. "Warehouse Information Intelligent Optimization System." Advanced Materials Research 791-793 (September 2013): 1597–600. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1597.

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Scientific and rational management of warehouses and warehouse information to build flexible and effective business development is an important factor. The use of modern computer technology advanced and mature, network communication technology, software development, technical and scientific analysis and design methods, modern scientific management ideas and methods of storage of organic integration into the system, to achieve in all types of enterprise management system procedures, system security electronics.
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Potapova, D. Yu. "OPTIMIZATION OF BUSINESS PROCESSES IN THE AIRPORT WAREHOUSE COMPLEX." World of Transport and Transportation 16, no. 1 (2018): 82–89. http://dx.doi.org/10.30932/1992-3252-2018-16-1-8.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT Business problems of the warehouse complex, consisting of many different subsystems and elements, put together to perform economically motivated functions for transformation of material flows are considered. Their main parameters are given, the necessity of warehouses in logistics systems is substantiated, risks are analyzed directly in regard to warehouse logistics. The features of operation of cargo terminals of airports are outlined. Keywords: air trans
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Wang, Yuxuan, Yajun Wang, and Junyu Leng. "A Study on the Vehicle Routing Planning Method for Fresh Food Distribution." Applied Sciences 14, no. 22 (2024): 10499. http://dx.doi.org/10.3390/app142210499.

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Aimed at the high cost of cold chain distribution of fresh agricultural products within a specified time window, a joint optimization method based on a bi-level programming model for cold chain logistics is proposed for the location of front warehouses and distribution path planning. At the upper level of the bi-level programming model, k-means clustering analysis is used to obtain all accurate information about alternative locations for the front warehouse for site selection, thereby providing the corresponding foundation for the lower level algorithm. At the lower level of the model, a fusio
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Jagan Nalla. "Performance Engineering in Cloud Data Warehouses: A Systematic Approach to Optimization." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 612–20. https://doi.org/10.32996/jcsts.2025.7.5.67.

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Cloud data warehouses have emerged as the cornerstone of modern enterprise analytics infrastructure, yet achieving optimal performance across platforms like Redshift, Snowflake, and Synapse requires specialized knowledge that extends beyond traditional on-premises optimization techniques. This article presents a systematic framework for performance tuning in cloud data warehouse environments, encompassing critical aspects from foundational data modeling principles to advanced query optimization strategies. The interplay between schema design decisions, partitioning schemes, and indexing mechan
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Wu, Zhong-huan, Hong-jie Chen, and Jia-jia Yang. "Optimization of Order-Picking Problems by Intelligent Optimization Algorithm." Mathematical Problems in Engineering 2020 (July 23, 2020): 1–12. http://dx.doi.org/10.1155/2020/6352539.

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To improve the efficiency of warehouse operations, reasonable optimization of picking operations has become an important task of the modern supply chain. For the purpose of optimization of order picking in warehouses, a new fruit fly optimization algorithm, particle swarm optimization, random weight, and weight decrease model are used to solve the mathematical model. Further optimization is achieved through the analysis of the warehouse shelves and screening of the optimal solution of the picking time. In addition, simulation experiments are conducted in the MATLAB environment through programm
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Dissertations / Theses on the topic "Warehouse optimization"

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Gu, Jinxiang. "The forward reserve warehouse sizing and dimensioning problem." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-09092005-233231/.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2006.<br>Joel Sokol, Committee Member ; Christiaan Paredis, Committee Member ; Gunter Sharp, Committee Member ; Marc Goetschalckx, Committee Chair ; Leon F. McGinnis, Committee Co-Chair. Includes bibliographical references.
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Munir, Wahab. "Optimization of Data Warehouse Design and Architecture." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-37233.

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A huge number of SCANIA trucks and busses are running on the roads. Unlike the trucks and buses of the past, they are hi-tech vehicles, carrying a lot of technical and operational information that pertains to different aspects like load statistics, driving time, engine-speed over time and much more. This information is fed into an analysis system where it is organized to support analytical questions. Over the period of time this system has become overloaded and needs to be optimized. There are a number of areas identified that can be considered for improvement. However, it is not possible to a
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Nguyen, Sonny. "Algorithmic approach to warehouse consolidation and optimization." DigitalCommons@CalPoly, 2008. https://digitalcommons.calpoly.edu/theses/22.

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This thesis presents a new methodology for warehouse consolidation to optimize the capacity, throughput, and overall efficiency of the warehouse. The application of the methodology allows an organization to become more competitive by reducing real estate and inventory holding costs. The algorithms use various quantitative techniques including statistical inference and integer programming, and apply them to material handling and facilities layout issues. The proposed methodology is independent of the warehouse management system in use. It was implemented by a Fortune 500 company, and resulted i
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Jadeja, Bhoopatsinh Udaysinh. "Mathematical model and optimization of an interleaving warehouse layout." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/91125.

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This research is devoted to the development of a mathematical model for an Interleaving Warehouse Layout. The space allocated to the items in the warehouse is most commonly determined on the basis of inventory cost of the items. Once the space requirements for the items are computed, the actual assignment of items to locations in the warehouse is carried out independently. An Interleaving Warehouse Layout is presented in this research to incorporate both reorder quantity and location of each item in a single comprehensive mathematical model of the warehouse. The advantage of this approach is t
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Liu, Bin. "Optimization strategies for data warehouse maintenance in distributed environments." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0430102-133814.

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Birkholz, Adam L. "Optimization of materials handling in a manufacturing warehouse facility." Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004birkholza.pdf.

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Nilsson, Max, and Hampus Olsson. "Product Layout Optimization for Autonomous Warehouses with Grouped Products." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19780.

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To utilize space better, warehouses stack their products on top of each other. This increases the risk of injury for workers when storing and retrieving the products. Some warehouses counteract this by using robots to retrieve products to a picking area where a human worker picks the products needed to fulfill an order. This means that it is important for the robots to be effective when retrieving products to reduce the time the worker spends waiting in the picking area. This thesis focuses on the grouping of products in the containers when they are stored in the warehouse. The robots will the
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Costa, Gustavo (Gustavo Henrique De Faria Costa). "Simulation and optimization of outbound operations in an e-grocer's warehouse." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117972.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 58-59).<br>A second wave of online grocery retailers ("e-grocers") emerged in late 2000's after dot.com companies, such as Webvan, Streamline and Homegrocer, failed to break into the g
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Jakobsson, Nathalie, and Josefin Rudälv. "Optimization of the Product Allocation in Warehouses." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148809.

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The purpose of this project was to investigate if an improvement of the time consumed to move goods in a specific grocery warehouse can be made by changing and adding factors to the current allocation model. After analyzing raw data collected from the warehouse and constructing new models, the factors of interest could be evaluated. Evaluation of the factors was made by simulations and statistical testing. Factors that were investigated were the turnover for the different articles and an ABC classification made on that factor. Changes in articles saturation for the aisles were also considered.
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Kovalenko, Darya, and Дар'я Юріївна Коваленко. "It product comparison for warehouse management." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50512.

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1. Womack, J., & Jones, D. (1996).- Lean Thinking: Banish Waste and Create Wealth in Your Corporation" ( edition of 2018 years). 2. Heizer, J., & Render, B. (1999). Operations management. Upper Saddle River, N.J: Prentice Hall. Chicago (Author-Date, 11th ed.). 3. Inmon, Bill (1992). Building the Data Warehouse<br>Warehouse management software, or WMS, is an automated system, designated to manage the mundane operations of warehouse. Warehouse management software, also may be able to refer as warehouse management system, has built-in programs being enabled business to manage various tasks from
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Books on the topic "Warehouse optimization"

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Mischenko, Aleksandr. Optimization models of investment management in logistics. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1839692.

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The textbook is devoted to planning and modeling of investment projects for the development of logistics infrastructure and supply chain management. Both theoretical models of investment management in logistics and practical examples of the use of the proposed methodology in the selection of optimal production programs of the enterprise, management of wholesale purchases of trading firms, analysis of the effectiveness of projects for the creation of warehouse infrastructure, working capital management in the procurement of material resources in industrial logistics are presented.&#x0D; For und
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Christensen, Jesper. SAP BW: Administration and performance optimization. Galileo Press, 2014.

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Tillman, Frank, and Deandra Cassone. Developing a Warehouse and Inventory Level Optimization System. Financial Times/Prentice Hall, 2012.

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Roettig, Elke. Inventory Management and Optimization in SAP ERP. SAP Press, 2016.

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Wang, Lei, Atul Bhandari, Sanchit Chandna, and Jeroen Kusters. Inventory Planning and Optimization with SAP IBP. SAP Press, 2019.

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Gilala, M. Sc Godspower. Supply Chain Management : Warehouse Management Optimization with MS - Excel : Inventory Management: Procurement- Inbound Logistics, Stocking, Retrieval, Quantity Reorder. CreateSpace Independent Publishing Platform, 2017.

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Ortiz-Zezzatti, Alberto Ochoa, Claudia Gómez-Santillán, Benito Sánchezâe"Lara, and Gilberto Rivera. Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities. IGI Global, 2019.

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Book chapters on the topic "Warehouse optimization"

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Rummukainen, Hannu. "Inverse Optimization for Warehouse Management." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91885-9_5.

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Wang, Hengwei. "Logistics Enterprise Warehouse Management System Optimization." In Lecture Notes in Electrical Engineering. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4796-1_14.

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Yang, Wenqiang, Zhile Yang, Zhanlei Peng, and Yonggang Chen. "Housing Assignment Optimization of Warehouse Breeding." In Intelligent Equipment, Robots, and Vehicles. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7213-2_11.

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Singh, Anshika, and Abhinav Goel. "Multi Warehouse Inventory Optimization with Varying Holding Costs, Deterioration Rates, and Carbon Tax." In Inventory Optimization. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-6765-6_5.

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Kovács, György. "Special Optimization Process for Warehouse Layout Design." In Vehicle and Automotive Engineering 3. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9529-5_17.

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Yang, Wei, Dan Li, Chen Yan, and Yuxiao Du. "Research on Process Optimization of Automated Warehouse." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44674-4_27.

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Nowicki, Tadeusz, Anna Saniuk, and Robert Waszkowski. "Clothing Distribution Optimization for Rental Company Warehouse." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94000-7_39.

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AlHalawani, Sawsan, and Niloy J. Mitra. "Congestion-Aware Warehouse Flow Analysis and Optimization." In Advances in Visual Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27863-6_66.

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Hammler, Patric, Nicolas Riesterer, Gang Mu, and Torsten Braun. "Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning." In Quantitative Models in Life Science Business. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11814-2_5.

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AbstractIn this chapter, we provide an overview of inventory management within the pharmaceutical industry and how to model and optimize it. Inventory management is a highly relevant topic, as it causes high costs such as holding, shortage, and reordering costs. Especially the event of a stock-out can cause damage that goes beyond monetary damage in the form of lost sales. To minimize those costs is the task of an optimized reorder policy. A reorder policy is optimal when it minimizes the accumulated cost in every situation. However, finding an optimal policy is not trivial. First, the problem
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Skulimowski, Andrzej M. J. "Multicriteria Optimization Methods in Control of Warehouse Operations." In Operations Research Proceedings. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74862-2_146.

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Conference papers on the topic "Warehouse optimization"

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Kozlova, Anastasia, Sergei Kurashkin, and Andrei Boyko. "Optimization of Warehouse Processes Using Machine Learning and Linear Programming." In 2025 International Russian Smart Industry Conference (SmartIndustryCon). IEEE, 2025. https://doi.org/10.1109/smartindustrycon65166.2025.10986102.

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Elsawy, Arwa, Noha Warda, and Mohamed Ghoneimy. "Improving Warehouse Efficiency with Dynamic Slotting Optimization Using Genetic Algorithm." In 2025 International Conference on New Trends in Computing Sciences (ICTCS). IEEE, 2025. https://doi.org/10.1109/ictcs65341.2025.10989429.

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Chen, Yulong, Haibin Li, Ziqi Wang, and Rui Wu. "Optimization of single warehouse multi traveler problem based on improved sand cat swarm optimization." In Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), edited by Qinghua Lu and Weishan Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3049592.

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zhu, lingfei, Bin Ye, Wei Shang, Yijun Wang, Guorui Li, and Jiaqi Sheng. "Research on optimization of warehouse operation management based on logistics rhythm." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054701.

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Qian, Jia, and Nannan Yan. "Optimization of front warehouse location routing problem with multiple delivery modes." In 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), edited by Jinsong Wu and Azanizawati Ma'aram. SPIE, 2024. http://dx.doi.org/10.1117/12.3039958.

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Bi, Shuhui, Jun Liu, Dayong Qi, Lisha Chen, and Ronghao Shang. "Initial Population Optimization Sparrow Search Algorithm for Warehouse AGV Path Planning." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10864931.

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Kawaguchi, Nobuo, Yusuke Asai, Kazuma Kano, et al. "Digitization Methods for a Logistics Warehouse Towards Digital Twin-Driven Optimization." In 2025 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2025. https://doi.org/10.1109/smartcomp65954.2025.00035.

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Wang, Peiwen, Zhecong Jiang, Yunpeng Song, and Fei Xue. "E-commerce Warehouse Optimization: A Warehouse Division Strategy Based on Multi-Objective Optimization." In BDEIM 2024: 2024 5th International Conference on Big Data Economy and Information Management. ACM, 2024. https://doi.org/10.1145/3724154.3724347.

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Sokolov, Illia, and Ihor Turkin. "Resource efficient data warehouse optimization." In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2018. http://dx.doi.org/10.1109/dessert.2018.8409183.

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Baltabaev, Zhaksylyk, Tamarakhan Shamuratova, Akzharkyn Berdimbetova, and Abdulaziz Orazbayev. "Space optimization in warehouse movement." In INTERNATIONAL SCIENTIFIC CONFERENCE ON MODERN PROBLEMS OF APPLIED SCIENCE AND ENGINEERING: MPASE2024. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0241482.

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