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Journal articles on the topic 'Warehouse process optimization'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

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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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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Głodowska, Katarzyna, and Andrzej Świderski. "Optimization of the completion process." WUT Journal of Transportation Engineering 127 (December 1, 2019): 15–24. http://dx.doi.org/10.5604/01.3001.0013.7234.

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The picking process is one of four processes that are carried out in the entire warehouse. The correctness and the time of its execution have a large and direct impact on the entire warehouse process. In the aspect of time, one should strive to minimize it while maintaining appropriate quality and diligence of performed activities. The purpose of this article is to present the need for continuous improvement of pro-cesses taking place in the enterprise. An example of the picking process was developed and discussed and a solution was proposed to improve its functioning.

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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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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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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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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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8

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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9

Živičnjak, Margareta, Kristijan Rogić, and Ivona Bajor. "Case-study analysis of warehouse process optimization." Transportation Research Procedia 64 (2022): 215–23. http://dx.doi.org/10.1016/j.trpro.2022.09.026.

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10

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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11

Kartanova, A. Dzh, and T. I. Imanbekov. "OVERVIEW OF OPTIMIZATION METHODS FOR PRODUCTIVITY OF THE ETL PROCESS." Heralds of KSUCTA, №1, 2022, no. 1-2022 (March 14, 2022): 64–70. http://dx.doi.org/10.35803/1694-5298.2022.1.64-70.

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One of the important aspects in management and acceleration of processes, operations in databases and data warehouses is ETL processes, the process of extracting, transforming and loading data. These processes without optimizing, a realization data warehouse project is costly, complex, and time-consuming. This paper provides an overview and research of methods for optimizing the performance of ETL processes; that the most important indicator of ETL system's operation is the time and speed of data processing is shown. The issues of the generalized structure of ETL process flows are considered,

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12

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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13

Faridi Masouleh, M., M. A. Afshar Kazemi, M. Alborzi, and A. Toloie Eshlaghy. "Optimization of ETL Process in Data Warehouse Through a Combination of Parallelization and Shared Cache Memory." Engineering, Technology & Applied Science Research 6, no. 6 (2016): 1241–44. http://dx.doi.org/10.48084/etasr.849.

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Extraction, Transformation and Loading (ETL) is introduced as one of the notable subjects in optimization, management, improvement and acceleration of processes and operations in data bases and data warehouses. The creation of ETL processes is potentially one of the greatest tasks of data warehouses and so its production is a time-consuming and complicated procedure. Without optimization of these processes, the implementation of projects in data warehouses area is costly, complicated and time-consuming. The present paper used the combination of parallelization methods and shared cache memory i

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Faridi, Masouleh M., Kazemi M. A. Afshar, M. Alborzi, and Eshlaghy A. Toloie. "Optimization of ETL Process in Data Warehouse Through a Combination of Parallelization and Shared Cache Memory." Engineering, Technology & Applied Science Research 6, no. 6 (2016): 1241–44. https://doi.org/10.5281/zenodo.225500.

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Extraction, Transformation and Loading (ETL) is introduced as one of the notable subjects in optimization, management, improvement and acceleration of processes and operations in data bases and data warehouses. The creation of ETL processes is potentially one of the greatest tasks of data warehouses and so its production is a time-consuming and complicated procedure. Without optimization of these processes, the implementation of projects in data warehouses area is costly, complicated and time-consuming. The present paper used the combination of parallelization methods and shared cache memory i

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15

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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16

Wang, Juan, Ya Fan Li, and Guang Hua. "Research on Problems of Logistics Park Layout Optimization Based on Low-Carbon Concept." Advanced Materials Research 962-965 (June 2014): 1654–59. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1654.

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Around the goal of building a low-carbon logistics park, three aspects about layout optimization related issues which are functional area layout, warehouse layout and road layout are mainly studied in this paper. Functional areas dividing and layout methodology of a low-carbon logistics park are proposed in this paper. Summarizes common methods and main considerations of warehouse layout on the basis of warehouse operation process. Finally proposes methods of road network layout and optimizations of the layout according to the division of different levels of road network in logistics park.

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17

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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18

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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19

REZNIK, Nadia, Liudmyla CHORNENKA, and Andrii KRAVTSOV. "FEATURES OF THE LOGISTICS PROCESS IN THE WAREHOUSE." Herald of Khmelnytskyi National University 302, no. 1 (2022): 148–53. http://dx.doi.org/10.31891/2307-5740-2022-302-1-25.

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In modern conditions of integration of Ukraine’s economy into the world community effective functioning of enterprises is impossible without improving the organization of logistics processes. Dynamic development of economic relations leads to a significant increase in the needs of enterprises in warehouses. Warehousing problems arise and are solved at all stages of the movement of goods and material flow. Warehouses are one of the most important elements of the logistics system, however, the domestic food industry is not carefully studied, as well as issues of optimization of warehousing, whic

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20

Орлов, М. О. "Logistic approach to warehouse management for activities optimization." Экономика и предпринимательство, no. 2(115) (May 6, 2020): 1007–11. http://dx.doi.org/10.34925/eip.2020.115.2.204.

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В статье рассмотрены этапы организации логистической деятельности на складе. Наглядно проиллюстрирована организация складского процесса на основе применения логистического подхода. Предложены меры для оптимизации деятельности склада и процессов на нём. Охарактеризованы автоматизированные системы класса WMS и их важность для современного склада. The article reviews the stages of logistic activities organization for a warehouse. The warehouse process development based on logistic approach is clearly illustrated. Methods for warehouse activities and processes optimization are proposed. WMS automa

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21

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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Wu, Jun Hui, Tong Di Qin, Jie Chen, et al. "Slotting Optimization Algorithm of the Stereo Warehouse." Advanced Materials Research 756-759 (September 2013): 1371–76. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1371.

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In order to solve the problem of slotting optimization management with automated storage and retrieval system (AS / RS), the genetic algorithms of the slotting optimization process with stereo warehouse were discussed. The process of the slotting optimization was designed by the real-number coding. The mathematical models of the slotting optimization and cargo shipping time were built, and the simulation calculation of the models was done. The stability of the shelf and the efficiency of the accessing goods were significantly improved by the optimization simulation of the distribution of cargo

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Kartanova, A. Dzh, and T. I. Imanbekov. "OVERVIEW OF OPTIMIZATION METHODS FOR PRODUCTIVITY OF THE ETL PROCES." Heralds of KSUCTA, №4, 2021, no. 4-2021 (December 27, 2021): 556–63. http://dx.doi.org/10.35803/1694-5298.2021.4.556-563.

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One of the important aspects in management and acceleration of processes, operations in databases and data warehouses is ETL processes, the process of extracting, transforming and loading data. These processes without optimizing, a realization data warehouse project is costly, complex, and time-consuming. This paper provides an overview and research of methods for optimizing the performance of ETL processes; that the most important indicator of ETL system's operation is the time and speed of data processing is shown. The issues of the generalized structure of ETL process flows are considered,

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Zhang, Jian Qi, Fu Min Bao, and Jian Feng Zhang. "Dynamic Location Allocation Optimization for PDP Panel Aging Stereoscopic Warehouse." Applied Mechanics and Materials 128-129 (October 2011): 117–22. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.117.

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To optimize the storge and retrieval process for Plasma Display Panel (hereafter abbreviated as PDP) panel aging, one dynamic cargo location allocation method is proposed, and one access time model is also established to achieve the shortest location allocation for the PDP panel aging steroscopic warehouse based on expert system. The constraints of the optimization model include redundancy requirements of steroscopic warehouse, PDP panel aging stacker running speed, time requirements, in-out warehouse strategy requirements and so on. Tests show that the dynamic location allocation system of th

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LEVKOVSKYI, M., and I. DRACH. "SIMULATION MODEL OF THE WAREHOUSE SYSTEM AT THE PROCESS MANUFACTURING ENTERPRISE." Herald of Khmelnytskyi National University. Economic sciences 276, no. 6(1) (2019): 91–96. https://doi.org/10.31891/2307-5740-2019-276-6-96-102.

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Simulation modelling is a generally recognized method for researching complex dynamic systems. It is widely used in various fields of science, business and manufacturing. One of the most important functions of logistics systems is managing stock, which involves finding the optimal level of stock with the minimum cost of its creation and maintenance [1]. The consequences of nonoptimal stock can be significant. For instance, an excess of goods leads to an increase in storage costs and a "freezing" of the company capital. The shortage of goods, in turn, leads to a decrease in sales, the level of

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Casarrubias-Vargas, Heriberto, Noé V´ásquez-Godínez, Maribel Chavéz-Hernández, and Gabriela Gaviño-Ortiz. "Genetic algorithms for route optimization in the picking problem." International Journal of Combinatorial Optimization Problems and Informatics 12, no. 2 (2021): 32–46. https://doi.org/10.61467/2007.1558.2021.v12i2.189.

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The picking problem is part of the item picking problem in a warehouse for a given order and is the most expensive in the process; Optimizing the item collection time is essential because it is a bottleneck in the service rate of orders fulfilled and has a significant impact on the efficiency of the supply chain. This work proposes a strategy to reduce the picking time by minimizing the route using a genetic algorithm; a comparison is performed with other heuristic strategies in warehouses with different morphologies and considering orders of different sizes.

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Sun, Ran. "Warehouse Optimization Strategies for Improved Supply Chain Efficiency." Advances in Economics, Management and Political Sciences 164, no. 1 (2025): 160–68. https://doi.org/10.54254/2754-1169/2025.20832.

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This study focuses on the improvement of supply chain efficiency by warehouse system optimization. Combined with the development trend of information technology, the application prospect of new technologies such as intelligent warehousing, automation equipment and warehouse management system (WMS) in warehouse optimization is discussed. Specific optimization strategies, including warehouse location optimization, partition storage, moving line planning and job process reengineering, are proposed to improve storage efficiency from multiple dimensions. In order to fully evaluate the effect of the

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Miretskiy, I. Yu, P. V. Popov, and R. B. Ivut. "ON PROBLEM OF REGIONAL WAREHOUSE AND TRANSPORT INFRASTRUCTURE OPTIMIZATION." Science & Technique 16, no. 6 (2017): 532–36. http://dx.doi.org/10.21122/2227-1031-2017-16-6-532-536.

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The article suggests an approach of solving the problem of warehouse and transport infrastructure optimization in a region. The task is to determine the optimal capacity and location of the support network of warehouses in the region, as well as power, composition and location of motor fleets. Optimization is carried out using mathematical models of a regional warehouse network and a network of motor fleets. These models are presented as mathematical programming problems with separable functions. The process of finding the optimal solution of problems is complicated due to high dimensionality,

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Alajkovic, Adrian, Mario Brcic, Viktorija Ivandic, Luka Bubalo, Mihael Koncic, and Mihael Kovac. "Delivery pattern planning in retailing with transport and warehouse workload balancing." Croatian operational research review 13, no. 1 (2022): 99–111. http://dx.doi.org/10.17535/crorr.2022.0007.

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Goods from warehouses must be scheduled in advance, prepared, routed, and delivered to shops. At least three systems directly interact within such a process: warehouse workforce scheduling, delivery scheduling, and routing system. Ideally, the whole problem with the preceding inventory management (restocking) would be solved in one optimization pass. In order to make the problem simpler, we first decompose the total problem by isolating the delivery scheduling. Then we connect the optimization model to the rest of the system by workload balancing goal that is a surrogate ofcoordination and cri

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Toral, Rosa Ma Amaya, Cinthia Judith Valdiviezo Castillo, and Manuel Baro Tijerina. "Optimization of a Government Medical Warehouse Using Lean Logistics Methodology." British Journal of Multidisciplinary and Advanced Studies 4, no. 1 (2023): 1–17. http://dx.doi.org/10.37745/bjmas.2022.0084.

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Quality methodologies that increase efficiency and productivity by reducing waste in time, overproduction, overstock, over process among others, are well known in the manufacturing sector, however, these methods that improve quality and reduce waste can be ideally used in all industries where processes where any type of process is carried out. Given this, in this research, an application of lean manufacturing methodology is presented, applied in a government medical warehouse, to optimize their processes and reduce the above-mentioned waste. Once the foundations of this project have been estab

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Li, Wanling, and Gengjun Gao. "Research on Multi-product Order Splitting and Distribution Route Optimization Of "Multi-warehouse in One Place"." Frontiers in Business, Economics and Management 8, no. 3 (2023): 1–8. http://dx.doi.org/10.54097/fbem.v8i3.7449.

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In recent years, large online supermarkets have become a new trend in the development of e-commerce. Due to the limited storage capacity of a single warehouse, many large online supermarkets, such as Jingdong and Tmall, often adopt the warehouse layout of "one place and multiple warehouses" to quickly respond to customer needs, and the sorting and distribution tasks of orders are completed by the warehouse. At the same time, due to the change of people's lifestyle, customer demand presents the characteristics of "one order with multiple products" and "one order with multiple quantities", which

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Du, Chenglong. "Logistics and Warehousing Intelligent Management and Optimization Based on Radio Frequency Identification Technology." Journal of Sensors 2021 (October 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/2225465.

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In today’s competitive global business environment, companies and organizations are emphasizing return on assets. By analyzing the status quo of Internet of things and warehouse management, this paper puts forward the application of radio frequency identification technology in logistics warehouse management. Based on the intelligent management of logistics and warehousing, the overall structure of intelligent management of logistics and warehousing based on radio frequency identification technology is established, and the functions of each functional module of the system are introduced in deta

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Yue, Guoyou, Yuexia Huang, and Linluan Huang. "People-Oriented Optimization Model Of Warehouse Staff Scheduling Problem." 12th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 12, no. 1 (2021): 119. http://dx.doi.org/10.35609/gcbssproceeding.2021.12(119).

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With the development of e-commerce, China is actively promoting the construction of logistics informatization and intelligence, and simultaneously promoting the standardized and efficient development of warehousing industry, one of the important links of logistics. It is clearly pointed out in the "Medium and Long Term Plan for the Development of the Logistics Industry" issued by the State Council that "The warehousing industry is not only the main body of the traditional logistics industry, but also an important part of the modern logistics industry. In the process of material flow, the level

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Yue, Guoyou, Yuexia Huang, and Linluan Huang. "People-Oriented Optimization Model Of Warehouse Staff Scheduling Problem." 12th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 12, no. 1 (2021): 119. http://dx.doi.org/10.35609/gcbssproceeding.2021.12(119).

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With the development of e-commerce, China is actively promoting the construction of logistics informatization and intelligence, and simultaneously promoting the standardized and efficient development of warehousing industry, one of the important links of logistics. It is clearly pointed out in the "Medium and Long Term Plan for the Development of the Logistics Industry" issued by the State Council that "The warehousing industry is not only the main body of the traditional logistics industry, but also an important part of the modern logistics industry. In the process of material flow, the level

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35

Mulla, Faiz Mohiuddin. "Leveraging Data Analytics for Advanced Optimization in Warehouse Management Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem11747.

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Warehouse Management Systems (WMS) are crucial tools that power the efficient functioning of modern-day supply chains. Over the past few years, incorporating data analytics into WMS has proven to be one of the most critical aspects concerning warehouse optimization. The research paper analyzes some of the ways data analytics can be used to maximize the precision and functionality of WMS, namely through innovative optimization techniques that streamline inventory management, order fulfillment, and operational efficiency. Using data such as inventory levels, order histories, and transportation l

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Taletović, Medina. "Application of Multi-Criteria Decision-Making Methods in Warehouse: A Brief Review." Spectrum of Engineering and Management Sciences 1, no. 1 (2023): 25–37. http://dx.doi.org/10.31181/sems11202331t.

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This review paper investigates the application of various multi-criteria decision-making (MCDM) methods in the context of warehouse management, considering papers published from 2010 to date. Warehouses often face many challenges, including efficient inventory management, space optimization, proper resource allocation, and optimal supplier selection. This paper focuses on several well-known MCDM methods that are often used in the context of warehouse management. Full consistency method (FUCOM), analytic hierarchy process (AHP), the technique for order of preference by similarity to ideal solut

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Poloczek, Roksana, and Beata Oleksiak. "Management of a simulation project in a manufacturing company." Scientific Papers of Silesian University of Technology. Organization and Management Series 2023, no. 182 (2023): 377–90. http://dx.doi.org/10.29119/1641-3466.2023.182.22.

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Purpose: The main goal of managing a simulation project in a manufacturing company regarding the optimization of warehouse preparation and placement of galvanized steel profiles using FlexSim software is to improve logistics processes in the warehouse and increase production efficiency. The aim of the research is to develop an effective package addressing scheme and to introduce a special code that will enable precise management of profile storage and will improve the process of completing customer orders. Design/methodology/approach: The simulation project management methodology is based on s

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Görbe, Polina, and Tamás Bódis. "Investigation of factors and consequences in the evaluation process for storage location assignment optimization." Journal of Infrastructure, Policy and Development 9, no. 2 (2025): 10781. https://doi.org/10.24294/jipd10781.

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Optimizing Storage Location Assignment (SLA) is essential for improving warehouse operations, reducing operational costs, travel distances and picking times. The effectiveness of the optimization process should be evaluated. This study introduces a novel, generalized objective function tailored to optimize SLA through integration with a Genetic Algorithm. The method incorporates key parameters such as item order frequency, storage grouping, and proximity of items frequently ordered together. Using simulation tools, this research models a picker-to-part system in a warehouse environment charact

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Safa, Gharbi, Hayfa ZGAYA, and Slim HAMMADI. "Alliance between agents and optimization in warehouse logistics." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 8, no. 3 (2014): 1372–91. http://dx.doi.org/10.24297/ijmit.v8i3.1951.

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Nowadays, logistics has become an important part in the supply chain due to the effects of globalization. A warehouse is a large building where goods are stored, and where they may be shipped, catalogued, or received. When considering the level of effort involved in warehouse operations, the greatest expenditure of effort is in the picking process. In warehouse, the major goal is to improve the efficiency, accurancy and safety of warehouse operations. Supply chain managers focus to gain maximum efficiency for minimum cost. Therefore, Warehouse Management Systemd (WMS) first appeared on the mar

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Lorenc, Augustyn, and Tone Lerher. "PickupSimulo–Prototype of Intelligent Software to Support Warehouse Managers Decisions for Product Allocation Problem." Applied Sciences 10, no. 23 (2020): 8683. http://dx.doi.org/10.3390/app10238683.

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In this paper, a new model supporting decisions about product allocation in an order-picking shelf warehouse is presented. Industry 4.0 pays attention to inciting the processes, self-analysis and self-optimization of the short response time to market changes, and the maximum use of related data. Methods for solving the product allocation problem (PAP) are not enough to meet the requirements of Industry 4.0. The authors present a new approach for solving PAP. The novelty introduced in the model is based on correlated data—products parameters, clients’ orders and warehouse layout. The proposed m

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Wan, Fu Cai, Duo Chen, and Yong Qiang Wu. "Based on Genetic Algorithm Research of Stocker Picking Shortest Path." Applied Mechanics and Materials 155-156 (February 2012): 186–90. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.186.

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This paper analyzes characteristics of automated warehouse stocker picking operating process. Path optimization problem is considered as traveling salesman problem. The coordinates of picking points by calculating determine a stocker running route. The mathematical model of a path distance is built. And using the improved genetic algorithm solves the above problem. Finally, M-file program of stocker running path optimization is written and run in MATLAB. The simulation results that, in solving stocker path optimization problem, it can search for a shortest path by genetic algorithm. Thereby en

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Maghfiroh, Lutfi Rahmatuti, and Ramadhan Azizulhakim Yusuf. "Study of Search Algorithm Optimization from Multi-Version Data Warehouse using NoSQL Non-relational Database." Proceedings of The International Conference on Data Science and Official Statistics 2021, no. 1 (2022): 173–84. http://dx.doi.org/10.34123/icdsos.v2021i1.74.

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Statistics Indonesia, which produces large-scale data, requires effective and optimal storage. Research related to Multi-Version Data Warehouse (MVDW), which utilizes document-based NoSQL itself, has attempted to be developed for the sake of BPS data storage and proposed an algorithm to store and search data. This paper is made to examine algorithm optimization methods to reduce the time used in the process of storing and searching data when needed. The algorithm proposed in this paper focuses on the data storage process by suggesting a storage model that generalizes the coding of variables in

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Lavrentsov, Nikita A. "Optimization in warehouse for assembly and construction company." . European Scientific e-Journal 4, no. 10 (2021): 38–49. https://doi.org/10.47451/ecn2021-02-002.

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Optimization of warehouse for assembly and construction company is actual in modern stage of logistics development in the cities and urban regions.  One of the most important criteria during dynamical logistic development is to be guarantee of quality for company’s clients. In the research, logistic complex issues on the example of the “Aria TV” company were studied. Comparative, mathematical methods and methods of spatial analysis were used to reach the purposes. The materials of specific documentation and regalements, and research works of leading specialists in the fi

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Omelchenko, A. I., A. A. Ivanova, and D. A. Ivanova. "Digital Systems for Optimization of Warehouse Logistics Operations." Business Inform 12, no. 527 (2021): 92–97. http://dx.doi.org/10.32983/2222-4459-2021-12-92-97.

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The article considers the key aspects of the development of warehousing logistics, identifies the main functions covered by warehousing logistics. It is revealed that the digital transformation of warehousing logistics operations is an urgent issue of enterprise development in the postcovid period. It is substantiated that digitalization of warehousing logistics processes opens wide opportunities for optimizing warehouse operations, minimizing current costs, enterprise development and overall business scaling. It is researched that the use of digital systems to optimize internal operations in

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Yu, Junqi, Ruolin Li, Zengxi Feng, et al. "A Novel Parallel Ant Colony Optimization Algorithm for Warehouse Path Planning." Journal of Control Science and Engineering 2020 (August 1, 2020): 1–12. http://dx.doi.org/10.1155/2020/5287189.

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In order to improve the working efficiency of automated guided vehicles (AGVs) and the processing efficiency of fulfilling orders in intelligent warehouses, a novel parallel ant colony optimization algorithm for warehouse path planning is proposed. Through the interaction of pheromones among multiple subcolonies, the coevolution of multiple subcolonies is realized and the operational capability of the algorithm is improved. Then, a multiobjective function with the object of the shortest path and the minimum number of turns of the AGV is established. And the path satisfying this objective funct

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Kovalev, K. E., and J. E. Galkina. "Modeling Food Security Processes with Uneven Transportation of Goods and Economic Aspects." IOP Conference Series: Earth and Environmental Science 988, no. 2 (2022): 022010. http://dx.doi.org/10.1088/1755-1315/988/2/022010.

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Abstract The article discusses the methodology of modelling the work of the warehouse complex, which allows you to optimize its operation. The experience of creating various simulation models in the simulation environment is analysed in order to optimize the operation of transport and logistics complexes, the results of which were increased productivity and reduced costs. Planning a warehouse complex is a key stage in this process. Mistakes made during planning can cause the inability to use a warehouse with a high level of efficiency and significant financial losses for an organization. The f

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Alvin, Trianto Atmojo, Siallagan Manahan, and Syauqi Fanhas Riezan. "Warehouse Location Optimization with Clustering Analysis to Minimize Shipping Costs in Indonesia's E-Commerce Case." International Journal of Current Science Research and Review 06, no. 08 (2023): 5927–39. https://doi.org/10.5281/zenodo.8278378.

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Abstract : Due to the growth of the Internet economy, the popularity of online shopping has escalated in recent years. One of the largest e-commerce enterprises in Indonesia, PT. S, is the subject of the research in this article. Instead of typical e-commerce, where anybody may start a store, PT. S is concentrating on social commerce, which makes use of several resellers to offer hand-picked SME brand partners. PT. S must expand the market for inter-island or non-java-to-non-java transactions to fulfill its vision. However, PT. S will have logistical difficulty completing this job. The busines

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Khan, Muhammad Gufran, Noor Ul Huda, and Uzair Khaleeq Uz Zaman. "Smart Warehouse Management System: Architecture, Real-Time Implementation and Prototype Design." Machines 10, no. 2 (2022): 150. http://dx.doi.org/10.3390/machines10020150.

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The world has witnessed the digital transformation and Industry 4.0 technologies in the past decade. Nevertheless, there is still a lack of automation and digitalization in certain areas of the manufacturing industry; in particular, warehouse automation often has challenges in design and successful deployment. The effective management of the warehouse and inventory plays a pivotal role in the supply chain and production. In the literature, different architectures of Warehouse Management Systems (WMSs) and automation techniques have been proposed, but most of those have focused only on particul

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Karintseva, Oleksandra, Mykola Kharchenko, and Hanna Ponomarova. "Improving the Efficiency of Warehouse Facilities in Manufacturing Enterprises." Mechanism of an Economic Regulation, no. 4 (2020): 58–69. http://dx.doi.org/10.21272/mer.2020.90.04.

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Improving the efficiency of the enterprise involves the optimization of all business processes related to the production of finished products from orders for raw materials to direct output. The article analyzes the work of the manufacturing enterprise warehouse and highlights its main functions. The functions of a warehouse can be represented in the business process diagram of a warehouse organization. The work of the warehouse is divided into the receiving of material values, the loading of finished products and internal warehouse processes. In addition, a list of the main problems arising in

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Purba, Samuel Ro Paian, Harummi Sekar Amarilies, Nur Layli Rachmawati, and A. A. N. Perwira Redi. "IMPLEMENTATION OF PARTICLE SWARM OPTIMIZATION ALGORITHM IN CROSS-DOCKING DISTRIBUTION PROBLEM." Acta Informatica Malaysia 5, no. 1 (2021): 16–20. http://dx.doi.org/10.26480/aim.01.2021.16.20.

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In order to increase customer satisfaction and maintain customer loyalty, logistics service providers must pay attention to the quality of service provided, one of which is effecive warehouse management, especially in scheduling the arrival and departure of products transporting vehicles. Therefore, this study discusses warehouse management in form of delivery and pickup scheduling at PT XYZ’s cross-docking warehouse. This study aims to obtain effective delivery and pickup scheduling and minimize operational costs. The Cross-docking Distribution Problem is an np-hard problem, so the Particle S

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