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Journal articles on the topic 'Warehouse optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

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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Rakhman, Abdulah, Tumpal Janji Raja Sitinjak, and Tony Sitinjak. "Optimization of Warehouse Selection with SWOT and AHP Methods in the Pulogadung Industrial Area." International Journal of Social Science and Business 7, no. 4 (2023): 817–23. http://dx.doi.org/10.23887/ijssb.v7i4.54611.

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This study aims to analyze the factors that influence the determination of location and warehouse space in Pulogadung Industrial Estate, Jakarta, using a combined SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) and AHP (Analytical Hierarchy Process). The research method applied is qualitative. Participants in this study were leaders of companies operating in the Pulogadung Industrial Estate. Data was collected through the use of SWOT questionnaires and AHP questionnaires given to respondents. SWOT data is analyzed using Excel software, while AHP data is analyzed using Super Decis

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Ashayeri, J., and L. F. Gelders. "Warehouse design optimization." European Journal of Operational Research 21, no. 3 (1985): 285–94. http://dx.doi.org/10.1016/0377-2217(85)90149-3.

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Sonkiya, Paarth. "Optimising Warehouse Navigation: A Novel Two-Dimensional Grid Model for Robot Path Planning in Warehouse Logistics." Scholars Journal of Engineering and Technology 12, no. 10 (2024): 314–23. http://dx.doi.org/10.36347/sjet.2024.v12i10.003.

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In practical warehouse scenarios, route optimization is an important factor due to its large impact on the cost and time efficiency of a warehouse. This directly affects the overall productivity of a warehouse. Many algorithms have been developed to address this issue- the most commonly used in the industry include the A* algorithm and Dijkstra’s algorithm. While most provide appropriate usage in static ware house environments, many often fall short in dynamic warehouses, where they are unable to efficiently adapt to changing layouts and obstacles without compromising on time and cost efficien

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Yankovskaya, Natal'ya, and Mihail Dmitrenko. "Algorithmization of Cargo Placement on Trays in Deep Warehouses Equipped with Shuttle Systems." Bulletin of scientific research results 2022, no. 4 (2022): 160–71. http://dx.doi.org/10.20295/2223-9987-2022-4-160-171.

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Purpose: Optimization of cargo placement in the ducts of a deep warehouse equipped with shuttle systems in order of more efficient use of warehouse volume. Methods: Logistic analysis. Results: Algorithms for placing cargo in deep warehouses equipped with shuttles and for unloading cargo from storage area given the possibility of placing cargo of various orders in a one duct have been developed. Practical significance: The developed algorithms can find their use in software product creation for the warehouse of deep storage with shuttles.

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15

PRASATH S, MATHI. "Warehouse Management in Operation Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46031.

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ABSTRACT Warehouse management plays a pivotal role in the broader context of operation management by ensuring the efficient storage, retrieval, and distribution of goods. This study explores the strategic and operational aspects of warehouse management, focusing on its impact on supply chain performance, cost reduction, and customer satisfaction. It examines key components such as inventory control, layout design, technology integration (like Warehouse Management Systems and automation), and labor management. Additionally, the paper discusses emerging trends such as smart warehouses and sustai

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Larutama, Wiku, Dewang Rangga Bentar, Rifqy Oktavian Risdayanto, and Ridwan Salman Alvariedz. "Implementation of Warehouse Management System Planning in Finished Goods Warehouse." Journal of Logistics and Supply Chain 2, no. 2 (2022): 81–90. http://dx.doi.org/10.17509/jlsc.v2i2.62840.

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Warehouses play an important role in the supply chain by serving as a link between producers and end consumers. Warehouses not only serve as a place to store goods, but also have other important functions. Operational efficiency and logistics control in finished goods warehouses are increasingly becoming an urgent need for companies in various industries. However, ineffective warehouse management can lead to negative impacts such as decreased profits and customer dissatisfaction. Therefore, efforts are needed to manage warehouses with good efficiency and structure. This article discusses the c

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Sadeghi, Mona, Mohsen Nikfar, and Faeze Momeni Rad. "Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization." Journal of Future Sustainability 4, no. 1 (2024): 35–44. http://dx.doi.org/10.5267/j.jfs.2024.1.004.

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Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particu

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Tan, Albert, Siti NoridaWahab, and Balan Sundarakani. "Relocation of a warehouse for a cosmetic company: A case study." Supply Chain Research 1, no. 1 (2023): 113. http://dx.doi.org/10.59429/scr.v1i1.113.

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Warehouses are pivotal components within a company's supply chain, handling crucial functions such as receiving, storing, and delivering goods to end customers. While extensive research exists on the strategic location of warehouses in network optimization, there is a notable dearth of research on how to relocate a warehouse from one site to another, particularly while minimizing associated risks. This study sheds light on a low-risk approach undertaken by a multi-level marketing (MLM) company in Malaysia during the relocation of their warehouse. The study primarily addresses several key const

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Chen, Guang, Zhiwei Tu, Sheng Zhang, Jing Fang, and Fan She. "Research on Dynamic Optimization Algorithm of Warehousing Location Layout Based on Nonlinear Optimization." Scalable Computing: Practice and Experience 25, no. 3 (2024): 1940–49. http://dx.doi.org/10.12694/scpe.v25i3.2795.

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The paper aims to improve the turnover rate and operation efficiency of goods that are shipped out and replenished in the warehouses of electric power enterprises through big data analysis and optimization algorithms.The data is distributed in diverse locations and data nonlinear optimization algorithms certainly helps to understand the patterns for effective management of warehouses.This article focuses on reducing the delay in the operational processes.A multi-objective optimization (MOO) has been proposed which is aiming at improving the efficiency of transition process of commodities, stor

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Zhang, Xuan, Tiantian Mo, and Yougong Zhang. "Optimization of Storage Location Assignment for Non-Traditional Layout Warehouses Based on the Firework Algorithm." Sustainability 15, no. 13 (2023): 10242. http://dx.doi.org/10.3390/su151310242.

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With the development of logistics, sustainable warehousing has become increasingly important. To promote the warehousing efficiency, non-traditional layout warehouses and storage location assignments have been proposed separately. However, they are rarely combined. Taking inspiration from the advantages of non-traditional layout warehouses and storage location assignments, a storage location assignment optimization algorithm for non-traditional layout warehouses is proposed to further improve the efficiency and sustainability of warehousing. By reducing the picking distance and picking time, t

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Koltsov, I. V., and V. A. Romanenko. "OPTIMIZATION OF SPARE PARTS SUPPLY SYSTEM FOR PRODUCTION DIVISIONS OF AIRPORT NETWORK." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 25, no. 3 (2023): 50–56. http://dx.doi.org/10.37313/1990-5378-2023-25-3-50-56.

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The problem of optimal design of the spare parts supply system for the baggage handling systems of a group of airports is solved. It is assumed that the airports belonging to the group will be equipped with baggage systems of one manufacturer, which will supply them with spare parts during the operational phase. One of the airports will function as a passenger transfer center (hub) for a hub-forming airline, which will organize mass transfer flights between the airports of the group. The proposed system will consist of a tiered system for spare parts supply, including warehouses at the manufac

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Liu, Yang, and Jiankun Li. "Runtime Verification-Based Safe MARL for Optimized Safety Policy Generation for Multi-Robot Systems." Big Data and Cognitive Computing 8, no. 5 (2024): 49. http://dx.doi.org/10.3390/bdcc8050049.

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The intelligent warehouse is a modern logistics management system that uses technologies like the Internet of Things, robots, and artificial intelligence to realize automated management and optimize warehousing operations. The multi-robot system (MRS) is an important carrier for implementing an intelligent warehouse, which completes various tasks in the warehouse through cooperation and coordination between robots. As an extension of reinforcement learning and a kind of swarm intelligence, MARL (multi-agent reinforcement learning) can effectively create the multi-robot systems in intelligent w

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Dao, Ronggui, Yinrong Wen, Tao Yang, and Linjia Li. "Optimization of Temperature and Humidity Monitoring for Warehouse in the same Geographical Environment." E3S Web of Conferences 520 (2024): 01018. http://dx.doi.org/10.1051/e3sconf/202452001018.

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The purpose of this study is to solve the problem: in the warehouse temperature and humidity monitoring, due to the wide area and large number of warehouses, a large number of monitoring systems and equipment are arranged, which need to reduce investment and maintenance costs. Considering the same geographical environment, select 1 or 2 typical warehouses to represent the temperature and humidity of this region, so as to reduce the investment of monitoring equipment. We experimented with two regions separately, with 5 warehouses in each region. Temperature and humidity were collected for a per

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Danjuma, T., and Y. Abubakar. "Optimization Problem for Deteriorating Items Model with Stock Dependent Demand and Controllable Deterioration Under Two Warehouse Storage Facility." International Journal of Science for Global Sustainability 10, no. 2 (2024): 50–56. http://dx.doi.org/10.57233/ijsgs.v10i2.642.

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In any inventory and production management, deterioration of physical goods is one of the important factors put into consideration. Therefore, it is very important to control and maintain inventories for decaying items. We considered inventory problem for deteriorating items where demand is stock dependent and deterioration is controllable under two warehouse storage facility, one of the warehouses is owned and the other one is rented. Goods are displayed in both warehouses but demands are met from the rented warehouse until the level of goods get to zero then demands are met from owned wareho

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Izdebski, Mariusz, Ilona Jacyna-Gołda, Mariusz Wasiak, et al. "THE APPLICATION OF THE GENETIC ALGORITHM TO MULTI-CRITERIA WAREHOUSES LOCATION PROBLEMS ON THE LOGISTICS NETWORK." Transport 33, no. 3 (2018): 741–50. http://dx.doi.org/10.3846/transport.2018.5165.

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This paper presents multi-criteria warehouses location problem in the logistics network. In order to solve this problem the location model was developed. The limitations and optimization criteria of the model were determined. Optimization criteria refer to transportation costs, costs associated with warehouses, e.g.: local taxes, expenditure on starting the warehouse, the constant costs, the labour force costs, the purchase costs of the additional land for the expansion, the transition costs of the raw material via the warehouses. The final location of warehouse facilities was obtained using a

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Tang, Yuk-Ming, George To Sum Ho, Yui-Yip Lau, and Shuk-Ying Tsui. "Integrated Smart Warehouse and Manufacturing Management with Demand Forecasting in Small-Scale Cyclical Industries." Machines 10, no. 6 (2022): 472. http://dx.doi.org/10.3390/machines10060472.

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In the context of the global economic slowdown, demand forecasting, and inventory and production management have long been important topics to the industries. With the support of smart warehouses, big data analytics, and optimization algorithms, enterprises can achieve economies of scale, and balance supply and demand. Smart warehouse and manufacturing management is considered the culmination of recently advanced technologies. It is important to enhance the scalability and extendibility of the industry. Despite many researchers having developed frameworks for smart warehouse and manufacturing

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Jiang, Han, Yunlong Wu, and Qing Zhang. "Optimization of Ordering and Allocation Scheme for Distributed Material Warehouse Based on IGA-SA Algorithm." Mathematics 8, no. 10 (2020): 1746. http://dx.doi.org/10.3390/math8101746.

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The distributed material warehouse is the crucial link in the process of modern enterprise construction, and the goal of the enterprise is to save the cost of material distribution and reduce the time of distribution. In order to obtain the optimal ordering and allocation scheme, firstly, a distributed inventory system consisting of an ordering centre, a material coordination centre and n material warehouses are considered, and the cost model of ordering and allocation of the distributed material warehouse is established. Next, the safety stock and the ordering point of the distributed materia

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Chhavi Gupta. "An Efficient Technique for Arranging Various Commodities in a Warehouse." Communications on Applied Nonlinear Analysis 31, no. 3s (2024): 265–76. http://dx.doi.org/10.52783/cana.v31.764.

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Warehousing encompasses all the material handling tasks conducted within the confines of a supply chain's warehouse. Typical warehouse operations include complex allocation decisions that have room for optimization. This paper undertakes optimization models proposed in recent literature for allocating warehouse space. The main objective is to compare previous research on optimizing warehouse space and to elaborate warehouse space optimization using the (LP) linear programming. The model calculates the daily pallet requirements based on daily demand and various warehousing operation constraints

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Cao, Zhengyan, and Xiuhua Jiang. "Optimization of Warehouse Management in Company A." International Journal of Global Economics and Management 3, no. 1 (2024): 157–61. http://dx.doi.org/10.62051/ijgem.v3n1.16.

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China's modernization of warehouse management started late, advanced technology management level, management experience is more lacking, and the advanced warehouse management level of developed countries there is still a certain gap. This paper takes Company A as an example to conduct in-depth research and analysis and summarization. lt is found that the main problems in the process of warehouse management are concentrated in the complexity of the warehouse operation process, unreasonable warehouse planning, lack of inventory control, low warehouse picking efficiency, warehouse picking efficie

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Gosk, Agnieszka. "Query Optimization in Teradata Warehouse." Journal of Telecommunications and Information Technology, no. 3 (June 27, 2023): 57–64. http://dx.doi.org/10.26636/jtit.2010.3.1085.

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The time necessary for data processing is becoming shorter and shorter nowadays. This thesis presents a definition of the active data warehousing (ADW) paradigm. One of the data warehouses which is consistent with this paradigm is teradata warehouse. Therefore, the basic elements of the teradata architecture are described, such as processors parsing engine (PE) and access module processor (AMP). Emphasis was put on the analysis of query optimization methods. There is presented the impact of a primary index on the time of query execution. Furthermore, this paper shows different methods of optim

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Tang, Jiayi. "Applications and Challenges of Warehouse Optimization Technology in E-commerce Platforms under the Background Big Data." Advances in Economics, Management and Political Sciences 164, no. 1 (2025): 169–76. https://doi.org/10.54254/2754-1169/2025.20829.

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With the rapid growth of e-commerce, warehouse management has become a crucial component in ensuring operational efficiency and customer satisfaction. Integrating big data into e-commerce warehousing has significantly influenced logistics by providing valuable insights into consumer behavior, inventory turnover, and supply chain performance. Warehouses can make better use of space, get orders filled faster, and get more accurate information with the help of technologies like automated storage and retrieval systems (ASRS), inventory forecasting models, real-time tracking with the Internet of Th

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Zapata-cortes, Julian Andres, Martin Dario Arango-Serna, Frank Alexander Ballesteros Riveros, and Wilson Adarme - Jaimes. "Storage allocation optimization model in a Colombian company." DYNA 86, no. 209 (2019): 255–60. http://dx.doi.org/10.15446/dyna.v86n209.77527.

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The storage allocation in warehouse is about of deciding the corresponding areas in which the products must be allocated. It can be made using different techniques to stablish the specific position for the products. Some applications provide solutions and evaluate results independently, allowing the identification of its potential in warehouses. This paper presents the application of a storage allocation model in a food company considering several products in a defined time horizon. The algorithm identifies the operation area and the corresponding spaces that are required for the products allo

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O., Chukurna, Nitsenko V., Mykhailova M., and Odinokov R. "IMPROVEMENT OF WAREHOUSE LOGISTICS SYSTEM IN THE CONTEXT OF "INDUSTRY 4.0" TECHNOLOGIES." ECONOMIC STRATEGY AND PROSPECTS OF TRADE AND SRVICES SECTOR DEVELOPMENT 1 (27) (July 2, 2018): 220–32. https://doi.org/10.5281/zenodo.1303930.

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<em>The article analyzes the influence of the fourth industrial revolution on the development of logistic systems on the example of warehouse logistics. An analysis of world trends in warehouse logistics has been carried out and growth of demand for warehouses worldwide has been determined due to the development of e-commerce.</em> <em>The market for warehouse logistics is at the earliest stages of adaptation to changes in consumer demand and the development of the e-commerce sector. Also, it should be noted that most warehouses are very remotely constructed and designed in accordance with wor

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Ma, Jia, Shujun Yang, and Hao Jing. "Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm." Discrete Dynamics in Nature and Society 2022 (June 15, 2022): 1–12. http://dx.doi.org/10.1155/2022/2021535.

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In intelligent warehouse, the problem of transporting goods in intelligent warehouse is becoming increasingly complex, and the traditional way of automatically guiding vehicles (AGVs) is inefficient, so automated robot systems are introduced into intelligent warehouses. In this paper, a task assignment model for robots is presented with the transportation problem of robots in intelligent warehouse as the research background. To solve the robot task assignment problem in intelligent warehouse, a novel Pareto-based multiobjective optimization algorithm (MOEA) is proposed, and the aggregation fun

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Sienera, Farrel Stefan, Tanti Octavia, and Desi Winoto. "Simulation-based Optimization Approached to Design a Proposed Warehouse Layout on Bicycle Industry." Jurnal Teknik Industri 24, no. 2 (2022): 141–50. http://dx.doi.org/10.9744/jti.24.2.141-150.

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The finished goods must be stored in a warehouse before the items are dispatched. Due to the increasing demand in 2020, there will be an increase in the quantity of items, which will cause the finished goods warehouse at PT X to reach capacity. This issue lengthens the flow through the warehouse and makes it easier for the items to sustain damage. To improve capacity, the firm is building a new finished goods warehouse, and it wants to organize the two warehouses so that the displacement time is as short as possible. This study utilized simulations to calculate the time and dedicated and class

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Ding, Song, Jun Li, and Jiye Li. "Incremental Mining Method of Warehouse Operation Process in Production Enterprises Based on Swarm Intelligence." Mathematical Problems in Engineering 2023 (April 20, 2023): 1–9. http://dx.doi.org/10.1155/2023/6902647.

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In order to improve the scheduling ability of production enterprise warehouse operation, an incremental mining algorithm of production enterprise warehouse operation process based on swarm intelligence algorithm is proposed. The particle swarm optimization method is used to sample the environmental information of the warehouse operation area of the production enterprise, and the collected data of the warehouse operation area of the production enterprise are dynamically weighted, and the shortest path optimization control is carried out. Particle swarm optimization (PSO) is used to detect the s

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Kumar, Amit, and T. V. Vijay Kumar. "Materialized View Selection Using Self-Adaptive Perturbation Operator-Based Particle Swarm Optimization." International Journal of Applied Evolutionary Computation 11, no. 3 (2020): 50–67. http://dx.doi.org/10.4018/ijaec.2020070104.

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A data warehouse is a central repository of time-variant and non-volatile data integrated from disparate data sources with the purpose of transforming data to information to support data analysis. Decision support applications access data warehouses to derive information using online analytical processing. The response time of analytical queries against speedily growing size of the data warehouse is substantially large. View materialization is an effective approach to decrease the response time for analytical queries and expedite the decision-making process in relational implementations of dat

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Malashin, Ivan P., Vadim S. Tynchenko, Igor S. Masich, et al. "Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery." Applied Sciences 14, no. 24 (2024): 12005. https://doi.org/10.3390/app142412005.

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This study explored the optimization of groupage intercity delivery using a two-stage genetic algorithm (GA) framework, developed with the BaumEvA Python library. The primary objective was to minimize the transportation costs by strategically positioning regional branch warehouses within a logistics network. In the first stage, the GA selected optimal branch warehouse locations from a set of candidate cities. The second stage addressed the vehicle routing problem (VRP) by employing a combinatorial GA to optimize the delivery routes. The GA framework was designed to minimize the total costs ass

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Cardona, Luis F., Leonardo Rivera, and Héctor Jairo Martínez. "Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy." Ingeniería y Ciencia 12, no. 24 (2016): 221–48. http://dx.doi.org/10.17230/ingciencia.12.24.10.

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The aim of this paper study the impact of class-based storagepolicy basedon the optimal configuration of U-flow single command warehouses using aon an ABC product classification. For that purpose, the authors proposea non linear optimization model to minimize the expected travel distanceof the warehouse and use analytical methods to solve it.The most important contribution is to provide a mathematical proof thatregardless of the storage policy (It does not matter the specifics of theturnover pattern of the products), the optimal warehouse has a width thatis the double of its length, and the pi

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Hande, Kapil N., and Manoj B. Chandak. "Optimizing warehouse management system with blockchain and machine learning predictive data analytics." International Journal of Informatics and Communication Technology (IJ-ICT) 13, no. 3 (2024): 362. http://dx.doi.org/10.11591/ijict.v13i3.pp362-369.

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Blockchain technology is proving to be a disruptive technology in many areas of supply chain, manufacturing, medical, agriculture, and so on. Warehouses are an inevitable part of the supply chain. Issues like space optimization, route optimization, quick item pick-up, demand forecasting, and transaction management are of importance to address in warehouse management systems (WMS). Traditional database systems have limitations of interoperability among different entities involved in warehouses. This paper presents an innovative application of blockchain technology and machine learning (ML) to b

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Kapil, N. Hande, and B. Chandak Manoj. "Optimizing warehouse management system with blockchain and machine learning predictive data analytics." International Journal of Informatics and Communication Technology 13, no. 3 (2024): 362–69. https://doi.org/10.11591/ijict.v13i3.pp362-369.

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Blockchain technology is proving to be a disruptive technology in many areas of supply chain, manufacturing, medical, agriculture, and so on. Warehouses are an inevitable part of the supply chain. Issues like space optimization, route optimization, quick item pick-up, demand forecasting, and transaction management are of importance to address in warehouse management systems (WMS). Traditional database systems have limitations of interoperability among different entities involved in warehouses. This paper presents an innovative application of blockchain technology and machine learning (ML) to b

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Mankour, Ikram, and Khadidja Yachba. "Comparative Study for Facilities Location Problem in Supply Chain Design." International Journal of Swarm Intelligence Research 13, no. 1 (2022): 1–16. http://dx.doi.org/10.4018/ijsir.304718.

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The interest in supply chains has increased in the last few years. The supply chain optimization aims to reduce the delays and costs generated between suppliers and customers. The researchers focus primarily on the supply chain design to transport products to clients. This paper attempts to find an optimal warehouse location using a metaheuristic method. The goal is to select the optimum warehouse location. FLP-GA (Facility Location Problem - Genetic Algorithms) is the proposed approach based on genetic algorithms that reduce the number of warehouses to be opened, the overall costs, and the di

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Lin, Hung-Lung, Cheng-Chung Cho, Yu-Yu Ma, Ying-Qing Hu, and Ze-Hui Yang. "OPTIMIZATION PLAN FOR EXCESS WAREHOUSE STORAGE IN E-COMMERCE–BASED PLANT SHOPS: A CASE STUDY FOR CHINESE PLANT INDUSTRIAL." Journal of Business Economics and Management 20, no. 5 (2019): 897–919. http://dx.doi.org/10.3846/jbem.2019.10188.

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The rapid development of e-commerce in China has played a critical role in the development of the national economy and ongoing modernization. The plant industry is unique among industries that employ e-commerce sales models because its products exhibit special characteristics such as high death and damage rates. Therefore, its e-commerce and logistical requirements are stricter than in other industries and, as a result, excess warehouse storage can be extremely difficult for e-commerce–based plant shops to manage. Numerous studies have indicated the need to identify a product’s most up-to-date

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Nagy, László Levente, Attila Károly Varga, and Szabolcs Szentesi. "Route optimization opportunities in logistics." Advanced Logistic Systems - Theory and Practice 17, no. 3 (2023): 24–32. http://dx.doi.org/10.32971/als.2023.020.

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The article describes the process of warehousing complementing with the definition of concepts essential for warehousing and the various areas that can be found in most warehouses. In the rest of the article, the relationship between the warehouse and production will be discussed,then the presentation of milkrun systems and the related milkrun routes will come to the fore. In the last part of this article, we will introduce how to calculate the optimal milkrun path using the Solver add-in for Microsoft Excel.

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Bondareva, I. G. "Optimization of energy saving of an industrial and warehouse real estate enterprise." Upravlenie kachestvom (Quality management), no. 9 (August 15, 2023): 40–45. http://dx.doi.org/10.33920/pro-01-2309-07.

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The material is devoted to the application of methods and tools of lean production at industrial and warehouse facilities and, in particular, the issue of using modern technologies in warehouses to reduce energy consumption costs and minimize the harmful contribution to the environment is considered.

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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

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Prashanth, Cecil. "AI-POWERED DEMAND FORECASTING AND SLOTTING OPTIMIZATION IN WAREHOUSE OPERATIONS." International Journal of Engineering Technology Research & Management (IJETRM) 09, no. 05 (2025): 496–505. https://doi.org/10.5281/zenodo.15545399.

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In the evolving landscape of supply chain management, warehouse operations are increasingly adopting artificialintelligence (AI) to enhance efficiency and responsiveness. This article explores how AI-powered solutions aretransforming two critical aspects of warehouse logistics: demand forecasting and slotting optimization. Demandforecasting enables organizations to predict future inventory requirements more accurately, thereby reducingstockouts and overstocking. Slotting optimization, on the other hand, enhances storage efficiency by assigningoptimal locations for inventory based on AI-generat

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Nygmetova, A. A. "Data warehouse optimization via kafka and k-nn integration." Bulletin of the National Engineering Academy of the Republic of Kazakhstan, no. 4 (December 30, 2024): 147–55. https://doi.org/10.47533/2024.1606-146x.012.

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In the contemporary data-driven landscape, businesses confront the critical challenge of managing vast volumes of information efficiently. This study investigates the integration of Apache Kafka and the K-Nearest Neighbors (K-NN) algorithm into corporate data warehouses, a strategy aimed at enhancing data management capabilities. Apache Kafka processes large streams of real-time data, while K-NN contributes to data accuracy through validation. This combination promises to optimize data processing speed, simplify management, and enhance system scalability within a microservices architecture. Th

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Lermatan, Esterlinus Edwin, and Tiur Mery B. Silalahi. "Optimization of Logistics Warehouse in Supporting E-Commerce and Increasing MSME Sales: A Literature Review." Siber Journal of Transportation and Logistics 2, no. 4 (2025): 142–52. https://doi.org/10.38035/sjtl.v2i4.404.

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The rapid growth of e-commerce in Indonesia has encouraged Micro, Small, and Medium Enterprises (MSMEs) to adapt to more efficient distribution and logistics systems. Optimizing logistics warehouses is a crucial factor in supporting smooth supply chains, accelerating delivery, and increasing customer satisfaction. This literature review aims to identify relevant logistics warehouse optimization strategies in the context of MSME digitalization and the development of e-commerce. This article discusses the basic concepts of warehouse management, the application of technologies such as warehouse m

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Zhang, Dezheng, Shuai Chen, Na Zhou, and Pu Shi. "Location optimization of fresh food e-commerce front warehouse." Mathematical Biosciences and Engineering 20, no. 8 (2023): 14899–919. http://dx.doi.org/10.3934/mbe.2023667.

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<abstract> <p>The ongoing emergence of COVID-19 and the maturation of cold chain technology, have aided in the rapid development of the fresh produce e-commerce industry. Taking into account the characteristics of consumers' demand for fresh products, this paper constructs a location allocation model of a front warehouse for fresh e-commerce with the objective of minimizing the total cost. An improved immune optimization algorithm is proposed in this paper, and the effectiveness of the proposed algorithm is demonstrated by a real case study. The results show that the improved immun

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