Optimization on Supply Chain Network Based on High-Tech Products Life Cycle

Article Preview

Abstract:

In view of the characteristics of market demands of high-tech products life cycle at all stages, the response time model of the products life cycle at all stages was established according to the differences of products stage response points. Based on this, the production cost/time, transportation cost/time, shortage cost, sales price, and other factors of the products life cycle at all stages were taken into consideration. The 0-1 mixed integer optimization model of multi-factory and multi-distribution center with profit maximization as the optimization objective was established. Particle Swarm Optimization (PSO) algorithm was used to solve the decision variables. Finally, a numerical example was used to illustrate the practical application value of this model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1920-1925

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Carlos J (1997) Vidal, Marc Goetschalckx. Strategic production-distribution models: A critical review with emphasis on global supply chain models. European journal of operational research 98: 1-18.

DOI: 10.1016/s0377-2217(97)80080-x

Google Scholar

[2] Arntzen Bruce C (1995) Brown Gerald G, Harrison Terry P, Trafton Linda L. Global supply chain management at digital equipment corporation. Interfaces 25: 69-93.

DOI: 10.1287/inte.25.1.69

Google Scholar

[3] Van Roy T J (1989) Multi-level production and distribution planning with transportation decision fleet optimization. Management Science 35: 1113-1153.

DOI: 10.1287/mnsc.35.12.1443

Google Scholar

[4] Ashayer J (1994) Westerhof A. J., van Alst P. H. E. L. Application of mixed integer programming to a large scale logistics problem. International Journal of Production Economics 36: 133-152.

DOI: 10.1016/0925-5273(94)90020-5

Google Scholar

[5] Bredstrom D, Ronnqvist M (2002) Integrated production plans and route scheduling in pulp mill industry Proceedings of the 35thHawaii International Conference on System Sciences. Washington DC, USA: IEEE Computer Society Press 1606-1614.

DOI: 10.1109/hicss.2002.993986

Google Scholar

[6] Hill T (2000) Operations Management. London: Mac Milan Press 143-150.

Google Scholar

[7] Shi Y, Eberhart R (1998) A modified particle swarm optimizer[C]/Proceeding of IEEE International Conference on Evolutionary Computation, Anchorage, AK 5: 69-73.

DOI: 10.1109/icec.1998.699146

Google Scholar

[8] Zhang L. Kong Y. (2012) Optimization of Mixed Collaborative Distribution with Different Production Modes Journal of Transportation Systems Engineering and Information Technology 12(1): 17-23.

DOI: 10.1016/s1570-6672(11)60180-3

Google Scholar