Two-Phase Decision Support Methodology for Design and Planning an Outcome-Driven Supply Chain

Abstract

Nowadays, Supply Chain success and competitiveness heavily depend on the integration of its components andadaptability to deal with a changing environment. This article suggests the integration of design and management of aSupply Chain from an outcome-driven perspective. We propose a two-phase decision-making support methodology:first suppliers are pre-screened by solving a multi criteria sorting problem, and then a design and management plan isgenerated by solving a Mixed Integer Linear Programming Model. Experimentally we showed that the proposedmethodology can efficiently solve to optimality the most popular benchmark instances published in previous papermoreover our model also includes problem characteristics that have not been addressed together in previouspublished papers.