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Browsing by Author "Cano, José Alejandro"
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Article
A discrete particle swarm optimization to solve the put-away routing problem in distribution centres
Gómez Montoya, Rodrigo Andrés; Cano, José Alejandro; Cortés, Pablo; Salazar Arrieta, Fernando (MDPI, 2020)Put-away operations typically consist of moving products from depots to allocated storage locations using either operators ...
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Article
Disruptive and Conventional Technologies for the Support of Logistics Processes: A Literature Review
Cano, José Alejandro; Salazar-Arrieta, Fernando; Gómez Montoya, R.A; Cortés, Pablo (Faculty of Engineering, Universitas Indonesia, 2021)The supply chain has become a key element of increasing the productivity and competitiveness of companies. To achieve this, ...
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Article
Flexible Job Shop Scheduling Problem with Fuzzy Times and Due-Windows: Minimizing Weighted Tardiness and Earliness Using Genetic Algorithms
Campo, Emiro Antonio; Cano, José Alejandro; Gómez Montoya, R.A; Rodríguez Velasquez, Elkin; Cortés, Pablo (MDPI, 2022-09-20)The current requirements of many manufacturing companies, such as the fashion, textile, and clothing industries, involve ...
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Article
Mrp systems considering fuzzy capacity, lead times and inventory availability
Cano, José Alejandro; Gómez Montoya, R.A; Cortés, Pablo; Campo, Emiro Antonio (DAAAM International Vienna, 2021)This article aims to propose a fuzzy model for closed-loop material requirement planning (MRP) systems considering uncertain ...
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Article
Solving the order batching and sequencing problem with multiple pickers: A grouped genetic algorithm
Cano, José Alejandro; Cortés, Pablo; Campo, Emiro Antonio; Correa-Espinal, Alexander (Institute of Advanced Engineering and Science, 2021-06)This paper introduces a grouped genetic algorithm (GGA) to solve the order batching and sequencing problem with multiple ...
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Article
Solving the picker routing problem in multi-block high-level storage systems using metaheuristics
Cano, José Alejandro; Cortés, Pablo; Muñuzuri, Jesús; Correa-Espinal, Alexander (Springer Nature, 2023-06)This study aims to minimize the travel time in multi-block high-level storage systems considering height level constraints ...