Analyzing Single and Multiple Customer Order Decoupling Point Positioning based On Customer Value: A Multi-Objective approach

Abstract First step for the implementation of MC is to determine the desired level of product variety offered to customers (or customization degree). The right decision on the position of Customer Order Decoupling Point (CODP) is critical to determine the level of customization.. In this model, we develop two objective bases on company's profit and customer values perceived and analyze impacts single-CODP and multiple-CODP on product variety with trade offing among two proposed objective under service time constraint. We validate the model through a case.

[1]  Wang Yu,et al.  A comparative study on mass customization mode with multiple CODPs and the one with single CODP , 2012, 2012 24th Chinese Control and Decision Conference (CCDC).

[2]  Joanna Daaboul,et al.  Design for mass customization: Product variety vs. process variety , 2011 .

[3]  Joakim Wikner,et al.  Integrating production and engineering perspectives on the customer order decoupling point , 2005 .

[4]  Wang Ju-xiang Customer Order Decoupling Point position for mass customization , 2010 .

[5]  Mei Zhang,et al.  A Product and Process Modeling Based Approach to Study Cost Implications of Product Variety in Mass Customization , 2007, IEEE Transactions on Engineering Management.

[6]  Xiaohua Liu,et al.  Three-dimensional model of customer order decoupling point position in mass customisation , 2010 .

[7]  Thorsten Blecker,et al.  Complexity and variety in mass customization systems: analysis and recommendations , 2006 .

[8]  Yu-Ying Huang,et al.  Suitable application situations of different postponement approaches: Standardization vs. modularization , 2008 .

[9]  Alain Bernard,et al.  Product Variety Management , 1998 .

[10]  Jian-Qiang Luo,et al.  Positioning of CODP Based on Entropy Technology and Ideal Point Principle , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[11]  Ping Ji,et al.  Positioning multiple decoupling points in a supply network , 2008 .

[12]  Ji Jian-hua,et al.  Study on CODP Position of Process Industry Implemented Mass Customization , 2007 .

[13]  Yanhong Qin,et al.  Production Cost Optimization Model Based on CODP in Mass Customization , 2013 .

[14]  M. Naim,et al.  Analysis of form postponement based on optimal positioning of the differentiation point and stocking decisions , 2009 .

[15]  Mourad Elhamdi,et al.  Modélisation et simulation de chaînes de valeurs en entreprise – Une approche dynamique des systèmes et aide à la décision : SimulValor , 2005 .

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

[17]  Joanna Daaboul,et al.  Value of personalized products: modelling the customer perception , 2011 .

[18]  Wang Hai Customer Order Decoupling Point-based Multi-level Supply Control and Postponement , 2003 .

[19]  Gerald W. Evans,et al.  A bi-objective reverse logistics network analysis for post-sale service , 2008, Comput. Oper. Res..

[20]  Zhuang Jia-fang Location of CODP based on postponement manufacture , 2006 .

[21]  Mitchell M. Tseng,et al.  Design for mass customization , 1996 .

[22]  Fei Ma,et al.  Study on the Customer Order Decoupling Point position base on profit , 2008, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics.

[23]  Mark Ferguson,et al.  Evaluation of postponement structures to accommodate mass customization , 2005 .

[24]  Giovani J.C. da Silveira,et al.  Mass customization: Literature review and research directions , 2001 .

[25]  Diwakar Gupta,et al.  Make-to-order, make-to-stock, or delay product differentiation? A common framework for modeling and analysis , 2004 .

[26]  R. S. Laundy,et al.  Multiple Criteria Optimisation: Theory, Computation and Application , 1989 .

[27]  Awi Federgruen,et al.  Design for Postponement: A Comprehensive Characterization of Its Benefits Under Unknown Demand Distributions , 2001, Oper. Res..