Resumen

ALVAREZ-SOCARRAS, A.; BAEZ-OLVERA, A.  y  LOPEZ-LRARRAGORRI, F.. Two-Phase Decision Support Methodology for Design and Planning an Outcome-Driven Supply Chain. J. appl. res. technol [online]. 2014, vol.12, n.4, pp.704-715. ISSN 2448-6736.

Nowadays, Supply Chain success and competitiveness heavily depend on the integration of its components and adaptability to deal with a changing environment. This article suggests the integration of design and management of a Supply 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 is generated by solving a Mixed Integer Linear Programming Model. Experimentally we showed that the proposed methodology can efficiently solve to optimality the most popular benchmark instances published in previous paper moreover our model also includes problem characteristics that have not been addressed together in previous published papers.

Palabras llave : Supply chain design; supply chain planning; Mixed Linear Integer Programming; multi-criteria sorting problem; outcome-driven.

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