Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1023972 | Transportation Research Part E: Logistics and Transportation Review | 2009 | 14 Pages |
Abstract
This study considers the integration of production and transportation scheduling in a two-stage supply chain environment. The objective function minimizes the total tardiness and total deviations of assigned work loads of suppliers from their quotas. After modeling the problem as a mixed integer programming problem, a genetic algorithm with three populations, namely, a multi-society genetic algorithm (MSGA), is proposed for solving it. MSGA is compared with the optimum solutions for small problems and a heuristic and a random search approach for larger problems. Additionally, an MSGA is compared with a generic genetic algorithm. The experimental results show the superiority of the MSGA.
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Authors
S.H. Zegordi, M.A. Beheshti Nia,