Simultaneous product family and supply chain design: An optimization approach

This paper deals with the difficult problem of joint product family and supply chain design. We present a general model that simultaneously considers the construction of the bill of materials and the design of the supply chain network. For the bill of materials, product, sub-assembly and component substitution possibilities are considered. For the supply chain network, facility and distribution center location are considered as well as the choice of suppliers. A Mixed Integer Linear Program (MILP) model is proposed. The MILP formulation is solved optimally for medium-sized instances. For larger instances, two heuristics derived from the MILP are designed. These methods are computationally tested on various instances from a generator conceived for this purpose. The modelling of product substitution possibilities through product transformation permits the solving of large size instances that are now adequate for real problems.

[1]  George Q. Huang,et al.  Simultaneous configuration of platform products and manufacturing supply chains , 2008 .

[2]  Bruno Agard,et al.  An experimental study for the selection of modules and facilities in a mass customization context , 2010, J. Intell. Manuf..

[3]  M. G. Ariyanezhad,et al.  Supply Chains Based on Common Platforms: Analysis of Time Savings Gained by Commonality , 2009 .

[4]  Bruno Agard,et al.  Mutual impacts of product standardization and supply chain design , 2012 .

[5]  Hung-Yi Chen,et al.  The impact of item substitutions on production-distribution networks for supply chains , 2010 .

[6]  Nathalie Bostel,et al.  A linear relaxation-based heuristic approach for logistics network design , 2010, Comput. Ind. Eng..

[7]  Hong Yan,et al.  A strategic model for supply chain design with logical constraints: formulation and solution , 2003, Comput. Oper. Res..

[8]  Olivier Briant,et al.  The Optimal Diversity Management Problem , 2004, Oper. Res..

[9]  Bruno Agard,et al.  A simulated annealing method based on a clustering approach to determine bills of materials for a large product family , 2009 .

[10]  Nathalie Bostel,et al.  A dynamic model for facility location in the design of complex supply chains , 2008 .

[11]  Leslie Monplaisir,et al.  Matching product architecture with supply chain design , 2012, Eur. J. Oper. Res..

[12]  Alain Martel,et al.  Including technology selection decisions in manufacturing network design models , 2004, Int. J. Comput. Integr. Manuf..

[13]  Khaled Hadj-Hamou,et al.  An optimization model for selecting a product family and designing its supply chain , 2006, Eur. J. Oper. Res..

[14]  Juha-Matti Lehtonen,et al.  Modelling in product and supply chain design: literature survey and case study , 2004 .

[15]  Yannick Frein,et al.  A strategic-tactical model for the supply chain design in the delocalization context: Mathematical formulation and a case study , 2009 .

[16]  Jean-François Cordeau,et al.  An integrated model for logistics network design , 2006, Ann. Oper. Res..

[17]  Li Li,et al.  Location-Allocation Model for Logistics Networks with Implementing Commonality and Postponement Strategies , 2009 .

[18]  Ulrich Wilhelm Thonemann,et al.  Optimal Commonality in Component Design , 2000, Oper. Res..

[19]  S. Kotha.  Mass Customization: The New Frontier in Business Competition , 1992 .

[20]  Hoda A. ElMaraghy,et al.  Concurrent design of product modules structure and global supply chain configurations , 2008, Int. J. Comput. Integr. Manuf..