Supply chain dynamic configuration as a result of new product development

Applied Mathematical Modelling

Volumn 38, Issue 3, 2014, Pages 1133-1146

  Jafarian, Mahdi ^a   Bashiri, Mahdi ^a  

^a SHAHED UNIVERSITY   (Iran)

Author keywords

Dynamic supply chain configuration; New product development; New product lunching time; Production planning; Supplier integration

Indexed keywords

EID: 84894903970     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2013.08.025     Document Type: Article

References (16)

1. Petersen K.J., Handfield R.B., Ragatz G.L. Supplier integration into new product development: coordinating product, process and supply chain design. J. Oper. Manage. 2005, 23:371-388.
2. Forza C., Salvador F., Rungtusanatham M. Coordinating product design, process design, and supply chain design decisions Part B. Coordinating approaches, tradeoffs, and future research directions. J.Oper. Manage. 2005, 23:319-324.
3. Lee H. The triple-a supply chain. Harv. Bus. Rev. 2004, 1-12.
4. Lim W.S., Tang C.S. Optimal product rollover strategies. Eur. J. Oper. Res. 2006, 174:905-922.
5. Billington C., Lee H., Tang C. Successful strategies for product rollovers. Sloan Manage. Rev. 1998, 39:23-30.
6. Petrick I.J., Echols A.E. Technology roadmapping in review: a tool for making sustainable new product development decisions. Technol. Forecast. Soc. Chang. 2004, 71:81-100.
7. Amini M., Li H. Supply chain configuration for diffusion of new products: an integrated optimization approach. Omega 2011, 39:313-322.
8. Li H., Womer K. Modeling the supply chain configuration problem with resource constraints. Int. J. Project Manage. 2008, 26:646-654.
9. Altiparmak F., Gen M., Lin L., Karaoglan I. A steady-state genetic algorithm for multi-product supply chain network design. Comput. Ind. Eng. 2009, 56:521-537.
10. Piramuthu S. Machine learning for dynamic multi-product supply chain formation. Expert Syst. Appl. 2005, 29:985-990.
11. Nagurney A. Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction. Int. J. Prod. Econ. 2010, 128:200-208.
12. Ramezani M., Bashiri M., Tavakkoli-Moghaddam R. A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Appl. Math. Modell. 2012, 10.1016/j.apm.2012.02.032.
13. Castillo-Villar K.K., Smith N.R., Simonton J.L. A model for supply chain design considering the cost of quality. Appl. Math. Modell. 2012, 36:5920-5935.
14. Wang J., Shu Y.F. A possibilistic decision model for new product supply chain design. Eur. J. Oper. Res. 2007, 177:1044-1061.
15. Naraharisetti P., Karimi I.A. Supply chain redesign and new process introduction in multi purpose plants. Chem. Eng. Sci. 2010, 65:2596-2607.
16. Hinojosa Y., Kalcsics J., Nickel S., Puerto J., Velten S. Dynamic supply chain design with inventory. Comput. Oper. Res. 2008, 35:373-391.