Joint decision of product configuration and remanufacturing for product family design

Product family design (PFD) is a popular method for increasing product variety to satisfy the needs of diversified markets. With the increasing concern for environmental friendliness in society, more and more companies develop launching remanufactured products and include them in their product families. Therefore, PFD should be considered in a broad decision space where configuration of product variants and remanufacturing are considered simultaneously. However, this issue was not addressed properly in previous research. In this paper, a methodology for joint decision of product configuration and remanufacturing is proposed in which a bi-objective mixed integer programming model is formulated to determine the configurations of both new and remanufactured products for minimising product cost, maximising total market share, and satisfying reliability requirements. Then, Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted to solve the optimization problem. Computational experiments were conducted and their results show that NSGAII is convergent to the model well. A case study is presented to illustrate the applicability and effectiveness of the proposed methodology.

[1]  PurohitDevavrat.  Exploring the Relationship Between the Markets for New and Used Durable Goods , 1992 .

[2]  Manoj Kumar Tiwari,et al.  A hybrid model of component sharing and platform modularity for optimal product family design , 2013 .

[3]  A. Tiwana,et al.  The impact of deposit insurance on depositor behavior during a crisis: A conjoint analysis approach , 2015 .

[4]  Jiafu Tang,et al.  Integrating supplier selection in optimal product family design , 2011 .

[5]  Jeremy J. Michalek,et al.  An efficient decomposed multiobjective genetic algorithm for solving the joint product platform selection and product family design problem with generalized commonality , 2009 .

[6]  Kai Yang,et al.  A Fuzzy Goal Programming Approach for Optimal Product Family Design of Mobile Phones and Multiple-Platform Architecture , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[7]  Harrison Hyung Min Kim,et al.  Assessing product family design from an end-of-life perspective , 2011 .

[8]  Seung Ki Moon,et al.  Platform design variable identification for a product family using multi-objective particle swarm optimization , 2014 .

[9]  Jiafu Tang,et al.  A Multiobjective Optimization Approach for Product Line Design , 2011, IEEE Transactions on Engineering Management.

[10]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[11]  Andrew Y. C. Nee,et al.  Evaluation of product performance in product family design re-use , 2007 .

[12]  Luk N. Van Wassenhove,et al.  Closed - Loop Supply Chain Models with Product Remanufacturing , 2004, Manag. Sci..

[13]  Oded Berman,et al.  Optimal software implementation considering reliability and cost , 1998, Comput. Oper. Res..

[14]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[15]  S. Webster,et al.  Competition in remanufacturing and the effects of government subsidies , 2008 .

[16]  K. Train.  Discrete Choice Methods with Simulation , 2003 .

[17]  Mark P. Leach,et al.  Applying Conjoint Analysis to International Markets: A Cross-Cultural Comparison of Model Fit , 2015 .

[18]  Hao Zhao.  Raising Awareness and Signaling Quality to Uninformed Consumers: A Price-Advertising Model , 2000 .

[19]  Tsuen-Ho Hsu,et al.  The fuzzy clustering on market segment , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[20]  Donna Mangun,et al.  Incorporating component reuse, remanufacture, and recycle into product portfolio design , 2002, IEEE Trans. Engineering Management.

[21]  Cheng-Han Wu.  Price and service competition between new and remanufactured products in a two-echelon supply chain , 2012 .

[22]  Timothy W. Simpson,et al.  A Review of Recent Literature in Product Family Design and Platform-Based Product Development , 2014 .

[23]  G..  MARKET SEGMENTATION AND PRODUCT LINE DESIGN IN REMANUFACTURING , 2008 .

[24]  V. Rao,et al.  Research for product positioning and design decisions: An integrative review , 1995 .

[25]  H. Groenevelt,et al.  COMPETITION IN REMANUFACTURING , 2001 .

[26]  Jeffrey D. Camm,et al.  Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem , 2006, Manag. Sci..

[27]  Timothy W. Simpson,et al.  Product platform design and customization: Status and promise , 2004, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[28]  Jeffrey D. Camm,et al.  A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem , 2009, Manag. Sci..

[29]  Saurabh Gupta,et al.  INTEGRATED COMPONENT AND SUPPLIER SELECTION FOR A PRODUCT FAMILY , 1999 .

[30]  Lan Jiang,et al.  Markov Chain for Reuse Strategies of Product Families , 2000 .

[31]  George C. Canavos.  An Empirical Bayes Approach for the Poisson Life Distribution , 1973 .

[32]  Jayashankar M. Swaminathan,et al.  Managing New and Remanufactured Products , 2006, Manag. Sci..

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

[34]  S. Kalish,et al.  Closed-Loop Advertising Strategies in a Duopoly , 1997 .

[35]  Mark Ferguson,et al.  Remanufacturing and the component commonality decision , 2013 .

[36]  Cheng-Han Wu.  OEM product design in a price competition with remanufactured product , 2013 .

[37]  Kent C. Olson.  A review of recent literature , 1981 .

[38]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[39]  Devavrat Purohit,et al.  Exploring the Relationship Between the Markets for New and Used Durable Goods: The Case of Automobiles , 1992 .

[40]  Jayashankar M. Swaminathan,et al.  Managing new and differentiated remanufactured products , 2010, Eur. J. Oper. Res..