Design for Cost: Module-Based Mass Customization

The assemble-to-order (ATO) production strategy considers a tradeoff between the size of a product portfolio and the assembly lead time. The concept of modular design is often used in support of the ATO strategy. Modular design impacts the assembly of products and the supply chain, in particular, the storage, transport, and production are affected by the selected modular structure. The demand for products in a product family impacts the cost of the supply chain. Based on the demand patterns, a mix of modules and their stock are determined by solving an integer programming model. This model cannot be optimally solved due to its high computational complexity and, therefore, two heuristic algorithms are proposed. A simulated annealing algorithm improves on the previously generated solutions. The computational results reported in this paper show that significant savings could be realized by optimizing the composition of modules. The best performance is obtained by a simulated annealing combined with a heuristic approach.

[1]  Vasek Chvátal,et al.  A Greedy Heuristic for the Set-Covering Problem , 1979, Math. Oper. Res..

[2]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[3]  Roger Jianxin Jiao,et al.  A methodology of developing product family architecture for mass customization , 1999, J. Intell. Manuf..

[4]  Tore Hundsnes,et al.  The management of complexity , 2000 .

[5]  Kevin Otto,et al.  Product Architecture Definition Based Upon Customer Demands , 1999 .

[6]  I. Kocher,et al.  QUAND LES STRUCTURES DESSINENT LES PRODUITS : LA DIVERSITE COMMERCIALE DANS L'INDUSTRIE AUTOMOBILE , 1995 .

[7]  Javier P. Gonzalez-Zugasti,et al.  A Method for Architecting Product Platforms , 2000 .

[8]  Freek Erens,et al.  Architectures for product families , 1997 .

[9]  Andrew Kusiak,et al.  Development of modular products , 1996 .

[10]  Christopher S. Tang,et al.  Modelling the Costs and Benefits of Delayed Product Differentiation , 1997 .

[11]  Bruno Agard,et al.  DESIGN OF PRODUCT FAMILIES: METHODOLOGY AND APPLICATION , 2003 .

[12]  Diana Twede,et al.  Packaging postponement: a global packaging strategy , 2000 .

[13]  Andrew Kusiak,et al.  Modularity in design of products and systems , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[14]  Bruno Agard,et al.  Design of Wire Harnesses for Mass Customization , 2003 .

[15]  Kosuke Ishii,et al.  DESIGN FOR VARIETY: A METHODOLOGY FOR DEVELOPING PRODUCT PLATFORM ARCHITECTURES , 2000 .

[16]  R. H. J. M. Otten,et al.  The Annealing Algorithm , 1989 .

[17]  Andrew Kusiak,et al.  Engineering Design: Products, Processes, and Systems , 1999 .

[18]  Victor B. Kreng,et al.  Modular product design with grouping genetic algorithm - a case study , 2004, Comput. Ind. Eng..

[19]  R Collett,et al.  The surgical management of the anophthalmic syndrome with the concomitant malunion of the zygomatico-maxillary complex: review of the literature and report of a case. , 1987, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[20]  A. Galip Ulsoy,et al.  Optimizing modular product design for reconfigurable manufacturing , 2002, J. Intell. Manuf..

[21]  B. Agard,et al.  Data-mining-based methodology for the design of product families , 2004 .

[22]  C. D. Cunha,et al.  Définition et gestion de produits semi-finis en vue d'une production de type assemblage à la commande , 2004 .

[23]  John Paul Macduffie,et al.  Product variety and manufacturing performance: evidence from the international automotive assembly plant study , 1996 .

[24]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

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

[26]  Jayashankar M. Swaminathan,et al.  Managing broader product lines through delayed differentiation using vanilla boxes , 1998 .

[27]  Kikuo Fujita,et al.  Product variety optimization under modular architecture , 2002, Comput. Aided Des..