Time, cost, and quality trade-offs in material requirements planning using fuzzy multi-objective programming

In this paper, three simultaneous objectives - material requirements planning (MRP) completion time minimization, total cost minimization, and maximization of the quality of raw materials in an MRP system - are balanced by using a fuzzy multi-objective programming (F-MOP) model. Crashing the total MRP completion time; that is, reducing the time by increasing the resources, can improve on-time delivery to the customer. The goal is to determine the optimum crashing in an MRP context such that maximum total satisfaction is achieved. The approach proposed in this paper is given in both symmetric and asymmetric cases, and relevant results are presented and discussed. The model can help manufacturers deliver products on time, at low cost, with high quality.