Fuzzy multi-objective optimization with α-cut analysis for supply chain master planning problem

Noppasorn Sutthibutr, Navee Chiadamrong
2019 Uncertain Supply Chain Management  
This study considers a supply chain master planning problem in an uncertain environment where operating costs, customer demand, production capacity, manufacturer's acceptable defective rate, and manufacturer's acceptable service level are uncertain. Our supply chain consists of one manufacturer, multiple suppliers, and multiple distribution centers. While one objective is to minimize the total costs of logistics that consists of purchasing cost, production cost, and distribution cost, the other
more » ... ion cost, the other objective is to maximize total value of purchasing. These objectives are in conflict with each other. In this paper, the fuzzy multi-objective linear model is applied with -Cut analysis to achieve the optimal supply chain master planning in an uncertain environment by balancing these two conflicting objectives. The -Cut analysis is introduced to ensure decision-makers that the outcome satisfies their preferences based on a specified minimum allowed satisfaction value ( ).
doi:10.5267/j.uscm.2019.4.004 fatcat:a4qqdv7olzactlh2uozu367oim