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Functional Order Picking Model Associated With Italika Motorcycle Parts

Functional Order Picking Model Associated With Italika Motorcycle Parts

Edna Cruz Flores, José Alberto Hernández Aguilar, Jaime Del Ángel García
Copyright: © 2019 |Pages: 24
ISBN13: 9781522581314|ISBN10: 1522581316|EISBN13: 9781522581321
DOI: 10.4018/978-1-5225-8131-4.ch019
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MLA

Flores, Edna Cruz, et al. "Functional Order Picking Model Associated With Italika Motorcycle Parts." Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities, edited by Alberto Ochoa Ortiz-Zezzatti, et al., IGI Global, 2019, pp. 339-362. https://doi.org/10.4018/978-1-5225-8131-4.ch019

APA

Flores, E. C., Aguilar, J. A., & García, J. D. (2019). Functional Order Picking Model Associated With Italika Motorcycle Parts. In A. Ochoa Ortiz-Zezzatti, G. Rivera, C. Gómez-Santillán, & B. Sánchez–Lara (Eds.), Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities (pp. 339-362). IGI Global. https://doi.org/10.4018/978-1-5225-8131-4.ch019

Chicago

Flores, Edna Cruz, José Alberto Hernández Aguilar, and Jaime Del Ángel García. "Functional Order Picking Model Associated With Italika Motorcycle Parts." In Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities, edited by Alberto Ochoa Ortiz-Zezzatti, et al., 339-362. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8131-4.ch019

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Abstract

The purpose of the chapter is to propose a conceptual order-picking model to increase the commercialization of Italika motorcycle parts in the North of Veracruz, through the sequential analysis of activities such as distribution in the warehouse, preparation, packing of orders, and the issuance of orders to final customers. It is obtained through simulations using heuristics to compare scenarios and obtain different results after the modification of the main variables. As a result of the designed model, a calculation of three stipulated vehicles was obtained to deliver the seven spare parts systems for Italika motorcycles to each of the dispatch areas. Finally, the authors concluded, via the analysis, that the selected method is functional (in conjunction with the heuristics presented) to address the order picking when the case study was confronted, searching for the optimization of the related logistics processes.

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