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

 

A. Álvarez-Socarrás, A. Báez-Olvera* and F. López-lrarragorri

 

Universidad Autónoma de Nuevo León, Graduate Program in Systems Engineering, San Nicolás de los Garza, Nuevo León, México. *angeles@yalma.fime.uanl.mx

 

ABSTRACT

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.

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

 

RESUMEN

Actualmente, el éxito y competitividad de las cadenas de suministro depende en gran medida de la integración de sus componentes y la capacidad de adaptación a los cambios que se presenten. En este artículo se propone la integración del diseño y planeación de la cadena de suministro desde una perspectiva dirigida a resultados. Se propone una metodología de apoyo a la decisión de dos fases: en la primera fase de preselección los proveedores son pre-seleccionados resolviendo un problema de ordenamiento y en la segunda fase de diseño y planeación un modelo lineal entero mixto es resuelto. Experimentalmente se muestra que la metodología propuesta puede resolver de manera óptima instancias publicadas en artículos previos, por otra parte nuestro modelo incluye características que no han tratado en conjunto en los trabajos publicados anteriormente.

 

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Acknowledgment

This work was partially sponsored by the Mexican National Council of Science and Technology (Grant CB 167019) and by the Universidad Autónoma de Nuevo León (Grants PAICYT IT 764-11 and PAICYT IT 103111). We are grateful to Dr. Cordeau who provided the instances for the problem.

These supports are gratefully acknowledged.

 

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