Remanufacturing planning with imprecise quality inputs through the Goal Programming and the satisfaction functions

Abstract

The aim of this paper is to develop a Goal Programming (GP) formulation within an imprecise goals and inputs quality of product returns where the concept of satisfaction function will be utilized to introduce explicitly the manger's preferences into the remanufacturing aggregate planning model. In order to verify our proposed model, a numerical example is described to generate the best satisfying aggregate plan.