Abstract
The proper assignment of storages to stocks prior to their picking is critical to reduce order picking costs. Appropriate storage assignments can also shorten storing time, improve storage utilization, and facilitate inventory management. Three objectives are considered: minimizing the routing length of storing stocks, maximizing the future chance of adjacent stocks to be picked together, and minimizing the storage distance to the access point for popular stocks. This study devises a genetic algorithm to find feasible solutions and uses a method to determine the final storage assignment from a set of Pareto solutions.
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References
Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A.: Facilities Planning. Wiley, Hoboken (2010)
Material Handling Forum: Routing strategies. https://www.erim.eur.nl/material-handling-forum/research-education/tools/calc-order-picking-time/what-to-do/routing-strategies/
Mela, C.F., Lehmann, D.R.: Using fuzzy set theoretic techniques to identify preference rules from interactions in the linear model: an empirical study. Fuzzy Sets Syst. 71, 165–181 (1995)
Derringer, G., Suich, R.: Simultaneous optimization of several response variable. J. Qual. Technol. 12, 214–219 (1980)
Bortolini, M., Faccio, M., Ferrari, E., Gamberi, M., Pilati, F.: Fresh food sustainable distribution: cost, delivery time and carbon footprint three-objective optimization. J. Food Eng. 174, 56–67 (2016)
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Cheng, CB., Weng, YC. (2019). Warehouse Storage Assignment by Genetic Algorithm with Multi-objectives. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_46
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DOI: https://doi.org/10.1007/978-3-030-11051-2_46
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