Solution methods for the integrated permutation flowshop and vehicle routing problem

Autor: Marcelo Seido Nagano, Caio Paziani Tomazella, Roberto Fernandes Tavares-Neto, Levi Ribeiro de Abreu
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Project Management, Vol 7, Iss 3, Pp 155-166 (2022)
Druh dokumentu: article
ISSN: 2371-8366
2371-8374
DOI: 10.5267/j.jpm.2022.1.002
Popis: The integration between production and distribution to minimize total elapsed time is an important issue for industries that produce products with a short lifespan. However, the literature focus on production environments with a single stage. This paper enhances the complexity of the production system of an integrated production and distribution system by considering flowshop environment decisions integrated with a vehicle routing problem decision. In this case, each order is produced in a permutation flowshop subsystem and then shipped to its destination by a capacitated vehicle, and the objective is to sequence these orders to minimize the makespan of the schedule. This paper uses two approaches to address this integrated problem: a mixed-integer formulation and an Iterated Greedy algorithm. The experimentation shows that the Iterated Greedy algorithm yields results with a 0.02% deviation from the optimal for problems with five jobs, and is a viable option to be used in practical cases due to its short computational time.
Databáze: Directory of Open Access Journals