Applied Fuzzy Multi-Objective with α-Cut Analysis for Optimizing Supply Chain Master Planning Problem

Providing an efficient supply chain master planning is vital to companies to achieve competitive advantage. In this point of view, we propose the fuzzy multi-objective linear model with α-cut analysis to achieve the optimal supply chain master planning in an uncertain environment. The supply chain master planning problem; one manufacturer, multiple suppliers, and multiple distribution centers, is considered under two conflicting objectives where operating costs, demand, and production capacity are imprecise. The first objective is to minimize the total costs of logistics and the other objective is to maximize total value of purchasing. The proposed model and solution method are validated through numerical example. Computational results indicate that α-cut analysis is introduced to ensure decision makers that the result satisfies their preferences based on a specified minimum allowed satisfaction value (α).