Research on Order Picking Optimization Problem of Automated Warehouse |
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| Affiliation: | 1. Lehrstuhl für Operations Management, Friedrich-Schiller-Universität Jena, Carl-Zeiß-Straße 3, Jena 07743, Germany;2. Schumpeter School of Business and Economics, Bergische Universität Wuppertal, Lehrstuhl für Betriebswirtschaftslehre insb. Produktion und Logistik, Rainer-Gruenter-Str. 21, Wuppertal 42119, Germany;3. Fachgebiet Management Science/Operations Research, Technische Universität Darmstadt, Hochschulstraße 1, Darmstadt 64289, Germany;1. University of Grenoble Alpes, CNRS, Grenoble INP, G-SCOP, F-38000 Grenoble, France;2. Rennes School of Business, R-SCOM research center, Rennes, France |
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| Abstract: | Optimizing the order picking is effective for advancing the working efficiency of an automatic warehouse. According to the characters of picking in an automated warehouse, a new mathematic model was proposed, with capacity constrains and multiple objectives. A genetic algorithm was presented to solve the problem with the initial population based on unfeasible degree and work times. Simulation and practice show that this model and method are useful and effective. |
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