MULTI-OBJECTIVE GROUPING GENETIC ALGORITHM FOR THE JOINT ORDER BATCHING, BATCH ASSIGNMENT, AND SEQUENCING PROBLEM-Reference-Cited by-同舟云学术

MULTI-OBJECTIVE GROUPING GENETIC ALGORITHM FOR THE JOINT ORDER BATCHING, BATCH ASSIGNMENT, AND SEQUENCING PROBLEM

Published:2021-11-09 Issue: Volume: Page:1-17
ISSN:1750-9653
Container-title:International Journal of Management Science and Engineering Management
language:en
Short-container-title:International Journal of Management Science and Engineering Management

Author:

Cano Jose Alejandro¹^ORCID,Cortés Pablo²^ORCID,Campo Emiro Antonio³^ORCID,Correa-Espinal Alexander A.⁴^ORCID

Affiliation:

1. Faculty of Economic and Administrative Sciences, Universidad de Medellín, Medellín, Colombia

2. Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain

3. Politécnico Colombiano Jaime Isaza Cadavid, Medellín, Colombia

4. Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Mechanical Engineering,Engineering (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/17509653.2021.1991852

Reference70 articles.

1. Interactive Pythagorean-hesitant fuzzy computational algorithm for multiobjective transportation problem under uncertainty

2. VARIABLE NEIGHBORHOOD SEARCH FOR ORDER BATCHING IN A WAREHOUSE

3. Using list-based simulated annealing and genetic algorithm for order batching and picker routing in put wall based picking systems

4. Robotized and Automated Warehouse Systems: Review and Recent Developments

5. Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms

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