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Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach

Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach

Jared Olmos, Rogelio Florencia, Francisco López-Ramos, Karla Olmos-Sánchez
Copyright: © 2019 |Pages: 22
ISBN13: 9781522581314|ISBN10: 1522581316|EISBN13: 9781522581321
DOI: 10.4018/978-1-5225-8131-4.ch010
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MLA

Olmos, Jared, et al. "Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach." 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. 189-210. https://doi.org/10.4018/978-1-5225-8131-4.ch010

APA

Olmos, J., Florencia, R., López-Ramos, F., & Olmos-Sánchez, K. (2019). Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach. 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. 189-210). IGI Global. https://doi.org/10.4018/978-1-5225-8131-4.ch010

Chicago

Olmos, Jared, et al. "Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach." In Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities, edited by Alberto Ochoa Ortiz-Zezzatti, et al., 189-210. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8131-4.ch010

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Abstract

Warehouse operations, specifically order picking process, are receiving close attention of researches due to the need of companies in minimizing operational costs. This chapter explains an ant colony optimization (ACO) approach to improve the order picking process in an auto parts store associated with the components of a classic Volkswagen Beetle car. Order picking represents the most time-consuming task in the warehouse operational expenses and, according to the scientific literature, is becoming a subject matter in operational research. It implements a low-level, picker-to-part order picking using persons as pickers with multiple picks per route. The context of the case study is a discrete picking where users' orders are independent. The authors use mathematical modeling to improve de ACO metaheuristic approach to minimize the order-picking cost.

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