A fuzzy aggregate production planning model for make-to-stock environments

This paper presents an aggregate production planning model for make-to-stock (MTS) environments. Since multiple sources of imprecision and complex inter-relationships at various levels between diverse entities exist in the supply chain (SC), we can use stochastic or fuzzy control models to describe the complex SC processes, associated management, and control tasks. We consider the fuzzy sets theory as a solution to tackle the uncertainties in different terms of the model. Finally, the effectiveness of the proposed model is demonstrated by a numerical example.