Journal
ENGINEERING OPTIMIZATION
Volume 49, Issue 7, Pages 1264-1280Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2016.1242913
Keywords
Multi-site supply chain; multi-objective optimization; Pareto-optimal solutions; analytic hierarchy process (AHP)
Funding
- European Union
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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.
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