Analytic hierarchy process-based approach for selecting a Pareto-optimal solution of a multi-objective, multi-site supply-chain planning problem. Issue 7 (3rd July 2017)

• Record Type: Journal Article
• Authors: Ayadi, Omar; Felfel, Houssem; Masmoudi, Faouzi
• Is Part Of: Engineering optimization. Volume 49:Issue 7(2017)
• Page Start: 1264
• Page End: 1280
• Publication Date: 2017-07-03
• Subjects: Multi-site supply chain -- multi-objective optimization -- Pareto-optimal solutions -- analytic hierarchy process (AHP); Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1242913
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: The current manufacturing environment has changed from traditional single-plant to multi-site supply chain where multiple plants are serving customer demands. In this article, a tactical multi-objective, multi-period, multi-product, multi-site supply-chain planning problem is proposed. A corresponding optimization model aiming to simultaneously minimize the total cost, maximize product quality and maximize the customer satisfaction demand level is developed. The proposed solution approach yields to a front of Pareto-optimal solutions that represents the trade-offs among the different objectives. Subsequently, the analytic hierarchy process method is applied to select the best Pareto-optimal solution according to the preferences of the decision maker. The robustness of the solutions and the proposed approach are discussed based on a sensitivity analysis and an application to a real case from the textile and apparel industry.