A multi-objective optimization algorithm for the integrated product line selection and supply chain configuration problem with quality considerations

The integration of product platform development and supply chain configuration decisions is a problem that must be resolved in order to achieve mass customization. This paper extends a mathematical model formulated for this problem and introduces quality as a third dimension in addition to cost and revenue. A multi-objective simulated annealing algorithm (AMOSA) is proposed and implemented to solve the model in a way that provides the decision maker with a wider view of alternatives rather than a single solution.

[1]  Bimal Nepal,et al.  A multi-objective supply chain configuration model for new products , 2011 .

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

[3]  Andrzej Jaszkiewicz.  Comparison of local search-based metaheuristics on the multiple objective knapsack problem , 2001 .

[4]  Jan Olhager,et al.  Product architecture and supply chain design: a systematic review and research agenda , 2015 .

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

[6]  Fabrizio Salvador,et al.  Supply-chain configurations for mass customization , 2004 .

[7]  W. Fink,et al.  Comparison of Multi-Objective Genetic Algorithms in Optimizing Q-Law Low-Thrust Orbit Transfers , 2005 .

[8]  Ujjwal Maulik,et al.  A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA , 2008, IEEE Transactions on Evolutionary Computation.

[9]  J. Dennis,et al.  A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems , 1997 .

[10]  Bruno Agard,et al.  A method for a robust optimization of joint product and supply chain design , 2016, J. Intell. Manuf..

[11]  2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017, Bari, Italy, September 18-20, 2017 , 2017, SOLI.

[12]  Soumojit Kumar,et al.  A heuristic-based approach to integrate the product line selection decision to the supply chain configuration , 2013 .

[13]  Roger Jianxin Jiao,et al.  Product family design and platform-based product development: a state-of-the-art review , 2007, J. Intell. Manuf..

[14]  Manus Rungtusanatham,et al.  Coordinating product design, process design, and supply chain design decisions: Part A: Topic motivation, performance implications, and article review process , 2005 .