With globalization and rapid technological-economic development accelerating the market dynamics, consumers' demand is becoming more volatile diverse. In this situation, capacity adjustment as an operational strategic decision plays a major role to ensure supply chain responsiveness while maintaining costs at reasonable norm. This study contributes literature by developing computationally effic...

Abstract Manufacturing systems flexibility is critical to meet the challenges arising from the uncertain demands. In this paper, a framework is proposed to evaluate the effect of utilizing flexibility in manufacturing systems which have the capability of producing multiple products at multiple plants. After transformation, a nonlinear polynomial programming model was proposed to describe the pr...

A multi-product, multi-stage, and multi-period scheduling model is proposed in this paper to deal with multiple incommensurable goals for a multi-echelon supply chain network with uncertain market demands and product prices. The uncertain market demands are modeled as a number of discrete scenarios with known probabilities, and the fuzzy sets are used for describing the sellers’ and buyers’ inc...

The paper deals with a lot sizing problem with ill-known demands modeled by fuzzy intervals whose membership functions are possibility distributions for the values of the uncertain demands. Optimization criteria, in the setting of possibility theory, that lead to choose robust production plans under fuzzy demands are given. Some algorithms for determining optimal robust production plans with re...