Thematische Bibliographien / Picking route problem

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Auswahl der wissenschaftlichen Literatur zum Thema „Picking route problem“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Picking route problem"

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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Hermanto, Koko, and Tita Dwi Ermayanti. "Analisa Optimasi Rute Transportasi Antar Jemput Siswa Menggunakan Model CGVRP dan Algoritma Dijkstra di SDIT Darus Sunnah." Unisda Journal of Mathematics and Computer Science (UJMC) 5, no. 2 (2019): 19–28. http://dx.doi.org/10.52166/ujmc.v5i2.1653.

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School transportation is one of the facilities provided by the school in the process of picking up students. In the process of picking up, taking the optimal route is needed to save costs and time. The purpose of this study is to develop a model School transportation routes using the Clustered Generalized Vehicle Routing Problem (CGVRP ) model and the Dijkstra algorithm to get a more optimal route from the route that has been used. Furthermore, comparing the real distance from the shuttle transportation routes with the distance from the results of this case study using the CGVRP model and the

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Wang, Pei Guang, Xing Min Qi, Xiao Ping Zong, and Ling Ling Zhu. "Picking Route Optimization of Automated Warehouse Based on Improved Genetic Algorithms." Applied Mechanics and Materials 411-414 (September 2013): 2694–97. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2694.

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In order to improve the efficiency of automated warehouse, the order-picking task of the fixed shelve was researched and analysed. The picking mathematical model of automated warehouse was established and attributed to the classical traveling salesman problem (TSP) model. At the same time, using an improved genetic algorithms(improved GAs) solved the optimization problem. Firstly, the initial population of the algorithm was optimized, and then a 'reverse evolution operator' was introduced in the improved genetic algorithms because of the lack of local optimization ability of genetic algorithm.

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Poere, Eirinne Carenina de, Falia Nurnabila, and Rienna Oktarina. "Re-Design Layout and Optimization of Order Picking Routes to Implement Sustainable Warehouse Management at FMCG Company’s Raw Material Warehouse." IOP Conference Series: Earth and Environmental Science 1488, no. 1 (2025): 012023. https://doi.org/10.1088/1755-1315/1488/1/012023.

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Abstract The problem at FMCG company is concentrated on waste that occurs during the internal logistics process in the raw material warehouse. The solution to the problem was solved by using the Value Stream Mapping (VSM) method, ABC Classification, and Order Picking Route Strategy. The purpose of this research is to propose a new layout and propose an optimal order picking route to reduce time, distance, material handling costs, and environmental impacts to implement sustainable warehouse management on FMCG Company. The processing results show that waste in the process of internal activities

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Guo, Jian, Li Zhou, and Jie Zhu. "Stochastic Model and Simulation Research for Random-Storage S-Type Manual Order Picking." Key Engineering Materials 467-469 (February 2011): 92–97. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.92.

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It researches the service efficient problem of logistics distribution center manual order picking, tour length and then. It builds picker route stochastic model under random storage S-type picking condition. It makes model approximation calculation with simulation result under order random arrival frequencies. It conducts well approximation between model and simulation results under the condition of permission error. It is the foundation for improving storage strategy. And it provides basic foundation for researching of picking time distribution function for manual order picking random service

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Jin, Hui, Qingsong He, Miao He, Shiqing Lu, Fangchao Hu, and Daxian Hao. "Optimization for medical logistics robot based on model of traveling salesman problems and vehicle routing problems." International Journal of Advanced Robotic Systems 18, no. 3 (2021): 172988142110225. http://dx.doi.org/10.1177/17298814211022539.

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Fast medicine dispensing system (FMDS) as a kind of medical logistic robot can dispense many drugs for one prescription at the same time. To guarantee the sustainability of drug dispensation, it is required that FMDS replenish drugs rapidly. The traditional order picking model (OPM) is difficult to meet the demand of prompt replenishment. To solve the problems of prolonged refilling route and inefficiency of drugs replenishment, a mixed refilling model based on multiple steps traveling salesman problem model (MTSPM) and vehicle routing problem model (VRPM) is proposed, and it is deployed in tw

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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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Natalia, C., V. Triyanti, G. Setiawan, and M. Haryanto. "Completion of Capacitated Vehicle Routing Problem (CVRP) and Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) Using Bee Algorithm Approach to Optimize Waste Picking Transportation Problem." Journal of Modern Manufacturing Systems and Technology 5, no. 2 (2021): 69–77. http://dx.doi.org/10.15282/jmmst.v5i2.6855.

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Bee Algorithm (BA) is an algorithm that adapts the way of life of bees and their intelligence in finding food sources. This research is a combination of two projects that both use BA as the completion algorithm. BA is applied to solve CVRP and CVRPTW problems, both aim to provide effective and efficient advice solutions related to waste transportation routes of the upcoming ITF Sunter project. Using CVRP approach, the capacity of the waste transported will not exceed the capacity of the waste transport vehicle owned. Meanwhile, using CVRPTW approach, the route formed also considers the travel

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Zhang, Jin, Wenquan Li, Guoqing Wang, and Jingcai Yu. "Feasibility Study of Transferring Shared Bicycle Users with Commuting Demand to Flex-Route Transit—A Case Study of Nanjing City, China." Sustainability 13, no. 11 (2021): 6067. http://dx.doi.org/10.3390/su13116067.

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Shared bicycle users with commuting purposes generally need to take a traditional public transit and then use the shared bicycle to complete the first/last mile transport. While shared bicycle provides convenient travel for travelers, it also brings a series of problems such as disorderly parking and road occupancy. Therefore, exploring the problem of travel mode shift between shared bicycle and public transit is of significance for improving the traffic environment and increasing the sharing rate of public transit. This paper introduces the flex-route transit system and quantitatively analyze

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Wang, Hong Jun, Xiang Jun Zou, D. J. Zou, J. Liu, and Tian Hu Liu. "Study on Location Simulation for Picking Manipulator in Virtual Environment Based on Information Fusion of Multi-Sensor." Key Engineering Materials 392-394 (October 2008): 596–600. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.596.

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In picking manipulator location system, it is the key problem that the positions of obi-object and picking manipulator are exactly determined in complex environment. Based on multi-sensor information fusion method, a data fusion system of multi-sensor integrating laser-sensor for absolute location with ultrasonic-sensor for inspection impediment was presented. Firstly, data collection and fusion were implemented employing a two- level distribution system. Secondly, the method of data collection and fusion in virtual environment was discussed, and the result data could drive picking manipulator

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Dissertationen zum Thema "Picking route problem"

Blom, Amanda, and Sofia Stenman. "Warehouse management – streamlining picking rounds." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25536.

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In this study we have conducted research on how to optimize inventory management within logistics. The focus in this study is to examine the picking rounds, the reason for this is because it is the most time consuming and expensive part within a warehouse. Is it possible to minimize the handling time to create efficient picking rounds? As a part of the research project AI has been investigated as well. If it is possible with help of AI, create a streamlining of current warehouse logistics. The purpose of this report is to investigate how to minimize the distance in picking rounds for efficient

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Buchteile zum Thema "Picking route problem"

Dmytrów, Krzysztof. "Comparison of the Order-Picking Route and Time Obtained by Using the TMAL Method with Results of Selected Take-Out Strategies." In Problems, Methods and Tools in Experimental and Behavioral Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99187-0_19.

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Ochoa Ortiz-Zezzatti, Alberto. "Solving a Floral Order-Picking Model Using a Metaheuristic to Seven Societies of Central Asia." In Advances in Human Resources Management and Organizational Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch013.

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In several societies of emerging economies, an increasingly large community collects and buys bouquets for celebration purposes linked to the scalability and adjustment of components. Many schools use floral design customization to improve aspects of sociability in schools with problems of structured violence. So, second-hand cargoes of separate parts can build bouquets at a low cost. An order-picking algorithm can be used as the primary guideline because providers often implement a route system depending on the needs for the assembly of the floral design considering the different components t

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Jimenez, Rafael, Rogelio Florencia, Vicente García, and Abraham Lopez. "Use of Elephant Search Algorithm to Solve an Order Picking Problem in a Mobile Atelier." In Advances in Human Resources Management and Organizational Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch008.

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Mobile ateliers, also called pop-up stores, sell their products away from their warehouse. Therefore, it causes them to go back to it once a product in their mobile store runs out since the customer is waiting for them at the store. The need to spend as little time searching for the product at the warehouse is of the utmost importance. To solve this problem, the authors have decided to attack it as an order picking problem. With the use of the elephant search algorithm, they aim to optimize the time it takes to retrieve the product needed to form the warehouse by giving the sales representativ

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Florencia, Rogelio, Julia Patricia Sanchez-Solis, Ivan Carvajal, and Vicente García. "Design of an Order Picking Reduce Module Using Bat Algorithm." In Advances in Human Resources Management and Organizational Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch011.

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These days the human factor is key to improving order picking processes. For example, in a line of processes to replace different parts of equipment or devices, it is necessary to find the best route in each case to minimize the time consumed. One of the tools used to search for solutions are the metaheuristic methods that use probability to find the best solution in the required time. One of them is the “bat algorithm” that has had outstanding results since its appearance in 2010. This metaheuristic is based on how bats hunt, supported by their system of echolocation. It is one of the most re

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Mejia, José, Alberto Hernández, Edgar Gonzalo Cossio Franco, Martin Montes, Carlos Lara-Alvarez, and Himer Avila-George. "Solving Instances of an Order Picking Model for the Second-Hand Toy Industry Combining Amalgam Case-Based Reasoning and PSO Algorithms." In Advances in Human Resources Management and Organizational Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch016.

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An increasingly large community—mainly from emerging economies—collects and buys “click toys” (i.e., scalable and adjustable toys composed by many pieces); this type of toy has been used for educational purposes; low-cost toys can be obtained from second-hand cargoes of separate parts, but it requires solving an order-picking problem where the primary guideline is that pieces could fit together. This is a common concern of logistical applications with limited resources. In general, providers of this type of service implement a handmade routing system in which a route is selected based on the p

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Sousa, Beatriz, Hugo Costa, Joana Ferreira, et al. "Improvement of the Mizusumashi System in an Electrical Devices Company: A Case of Transdisciplinary University-Business Cooperation." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230619.

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In the 1st year of the Master in Industrial Engineering and Management of the University of Minho (Portugal), teams of students develop semester-long UBC (University-Business Cooperation) projects involving four course units, according to the PBL (Project-Based Learning) methodology. This paper focuses on the project developed by a team of eight students in an electrical devices company, more specifically in the mizusumashi system (logistic train), responsible for supplying components to the assembly lines/cells, whose performance revealed some problems. The team carried out a detailed analysi

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Fraire-Huacuja, Héctor J., Alejandro Estrada Padilla, Laura Cruz-Reyes, et al. "Variable Neighborhood Search Algorithm for the Variable Cost and Size Bin Packing Problem." In Advances in Human Resources Management and Organizational Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch001.

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A company that transports goods to supply customers usually needs to plan the routes that the fleet must follow, since transportation means a high percentage of the value added to goods. The vehicles must be loaded with the products located in the warehouse to fulfill the orders requested by customers. Many enterprises use order batching and picking systems to improve the warehouse management. This chapter describes a novel algorithm based on the methodology of variable neighborhood search for the variable cost and size bin packing problem. This problem considers that the sizes and costs of th

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Konferenzberichte zum Thema "Picking route problem"

Patlins, Pavels. "Small shipment sustainable deliveries within and between cities." In 23rd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering and Information Technologies, 2024. http://dx.doi.org/10.22616/erdev.2024.23.tf052.

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The paper deals with small shipment delivery-planning problems either within cities or between cities. The small shipment delivery planning is a corner stone for forwarders, couriers, express-mail companies, retailers, wholesalers and other companies, which are responsible for delivery processes. It is significant to plan the delivery by optimal way, reducing both rates – time and cost of delivery. It is important to satisfy customers’ needs simultaneously. Pendulum route planning is the main problem for small cargo delivery planning between cities. It is necessary to choose the best transport

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