Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Intelligent model design of cluster supply chain with horizontal cooperation

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

Intelligent model design of complex system becomes a key issue for organization responsiveness to uncertainties. In the real business world, the rule of competition between one firm verse another is replaced by a chain verse another chain, the cooperation is the same, where does it occur? At industrial cluster, there are a multiple of rivals or potential competitors for each member of value chain, industrial cluster location not only contains a couple of focal firms locating at the same tier, but includes the corresponding upstream and downstream firms as well, all of which concentrate on a close geographical site. For adopting to ever-changing market and sever competition, it is most likely to form multiple paralleled single supply chains for each focal firm of industrial cluster, these paralleled single supply chains compete and cooperate with each other. Recent researches regarding supply chain design mainly focus on a limited tier in single supply chain, which only take into account vertical cooperation and ignore the across-chain horizontal one. This paper, based on cluster supply chain, provides a novel framework and approach to design cluster supply chain without across-chain horizontal cooperation, then by introducing item allocation proportion of vertical and horizontal cooperation (α: 1−α), the cluster supply chain design with across-chain horizontal cooperation is developed, then presents a hybrid method to find solution, at last, computational study is presented to investigate values of decision variables and their influence on cluster supply chain design.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Amiri M. (2006) Designing a distribution network in a supply chain system: Formulation and efficient solution procedure. European Journal of Operation Research 171(4): 567–576

    Article  Google Scholar 

  • Beaudry C., Breschi S. (2003) Are firms in clusters really more innovative?. Economics of Innovation &New Technology 12(4): 325–342

    Article  Google Scholar 

  • Bramel J. (2000) The logic of logistic. Springer-Verlag, New York

    Google Scholar 

  • Chauhan S., Nagi R., Proth J. (2004) Strategic capacity planning in supply chain design for a new market opportunity. International Journal of Production Research 42: 2197–2203

    Article  Google Scholar 

  • Chopra S., Meindl P. (2004) Supply chain management: Strategy, planning and operations (2nd ed.). Prentice Hall, Upper Saddle River NJ

    Google Scholar 

  • Chouinard M., Amours S., Ait-Kadi D. A. (2008) Stochastic programming approach for designing supply loops. International Journal of Production Economics 113: 657–667

    Article  Google Scholar 

  • Christopher M. (2005) Logistics & supply chain management. Harlow, FT, Prentice-Hall

    Google Scholar 

  • Daniel J. R., Rajendran C. (2005) A simulation-based genetic algorithm for inventory optimization in a serial supply chain. International Transactions in Operational Research 12: 101–127

    Article  Google Scholar 

  • Dasu S., Torre J. L. (1997) Operating an international network of partially owned plants. Management Science 43(3): 313–333

    Article  Google Scholar 

  • Dejong, K. A. (1975). An analysis of the behavior of a class of genetic adaptive system. Doctoral dissertation, University of Michigan.

  • DeWitt T., Giunipero L. C., Melton H. L. (2006) Clusters and supply chain management: The Amish experience. International Journal of Physical Distribution & Logistics Management 36(4): 289–308

    Article  Google Scholar 

  • Fletcher M., Brennan R. W., Norrie H. D. (2002) Modeling and reconfiguring intelligent holonic manufacturing systems with Internet-based mobile agents. Journal of Intelligent Manufacturing 14: 7–23

    Article  Google Scholar 

  • Hoover, E. M. (1948) The location of economic activity. McGRAW-Hill Book Co.

  • Jayaraman V., Pirkul H. (2001) Planning and coordination of production and distribution facilities for multiple commodities. European Journal of Operation Research 133: 394–408

    Article  Google Scholar 

  • Kaufman L., Rousseeuw P. J. (1990) Finding groups in data: Introduction to cluster analysis. Wiley, New York, NY

    Book  Google Scholar 

  • Marshall A. (1920) Principles of economics. Porcupine Press, Philadelphia

    Google Scholar 

  • Matos L. M., Afsrmanesh H. (2007) A comprehensive modeling framework for collaborative networked organizations. Journal of Intelligent Manufacturing 18: 529–542

    Article  Google Scholar 

  • Melkote S. (2001) An integral model of facility location and transportation network design. Transportation Research Part A 35(6): 515–538

    Google Scholar 

  • Mentzer J. T., DeWitt W., Keebler J. S., Nix N. W., Smith C. D., Zacharia Z. G. (2001) Defining supply chain management. Journal of Business Logistics 22(2): 1–25

    Article  Google Scholar 

  • Miranda A. P., Garrido A. R. (2004) Incorporating inventory control decision into a strategic distribution network design model with stochastic demand. Transportation Research Part E 40(7): 183–207

    Article  Google Scholar 

  • Nagurney A., Cruz J., Mastsypura D. (2003) Dynamics of global supply chain super-networks. Mathematical and Computer Modeling 37: 963–983

    Article  Google Scholar 

  • Onwubolu G. C., Kumalo T. (2001) Optimization of multi-pass turning operation with genetic algorithms. International Journal of Production Research 39(16): 3727–3745

    Article  Google Scholar 

  • Onwubolu G. C., Muting M. (2001) Optimizing the multiple constrained resources product mix problem using genetic algorithms. International Journal of Production Research 39(9): 1897–1910

    Article  Google Scholar 

  • Pandit N. R., Cook G. A., Swann G. M. P. (2002) A comparison of clustering dynamics in the British broadcasting and financial services industries. International Journal of the Economics of Business 9(2): 195–224

    Article  Google Scholar 

  • Porter, M. E.(1998). Clusters and the new economics of competition. Harvard Business Review, November–December, pp. 77–90.

  • Punj G., Stewart D. (1983) Cluster analysis in marketing research: Review and suggestions for application. Journal of Marketing Research 20: 134–148

    Article  Google Scholar 

  • Qi Y. F. (2008) Humen consolidates its garment industry. China Textile & Apparel 7: 110–113

    Google Scholar 

  • Rolelandt, T. J. A., & Hertog, P. D. (1998). Cluster analysis and cluster-based policy making in OECD countries: Introduction to the Theme. Paris: Organization for Economic Cooperation and Development.

  • Shen M. Z. J., Qi L. (2007) Incorporating inventory and routing costs in strategic location models. European Journal of Operation Research 179: 372–389

    Article  Google Scholar 

  • Shen Z. J. M. (2005) A multi-commodity supply chain design problem. IIE Transactions 37: 753–762

    Article  Google Scholar 

  • Tragantalerngsak S., Holt J., Ronnqvist M. (2000) An exact method for the two-echelon, single-source, capacitated facility location problem. European Journal of Operation Research 123(8): 473–489

    Article  Google Scholar 

  • Vanderaeghen D., Loos P. (2007) Distributed model management platform for cross-enterprise process management in virtual enterprise networks. Journal of Intelligent Manufacturing 18: 553–559

    Article  Google Scholar 

  • Wang G., Huang S. H., Dismukes J. P. (2005) Manufacturing supply chain design and evaluation. International Journal of Advanced Manufacturing Technology 25: 93–100

    Article  Google Scholar 

  • Weber A. (1929) Theory of the location of industries. The University of Chicago Press, Chicago

    Google Scholar 

  • Wu, L., Yue, X., & Sim, T. (2006). Supply clusters: A key to China’s cost advantage. Supply Chain Management Review, March, pp. 46–51.

  • Yang J. M., Feng G. S. (2002) An analysis on industrial structure of cluster of Taiwan IT firms in Dongguan. China Industrial Economy 8: 45–50

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Economics and Management, Wuhan University of Science and Engineering, Wuhan, China

    Jizi Li

  2. Georgia State University, Atlanta, GA, USA

    Naixue Xiong

  3. Department of Computer Sicence and Engineering, Seoul National University of Technology, Seoul, Korea

    Jong Hyuk Park

  4. Wuhan University of Science and Engineering, Wuhan, China

    Chunling Liu

  5. Huazhong University of Science & Technology, Wuhan, China

    Shihua MA

  6. Department of Information and Communication Engineering, Sunchon National University, Sunchon, Korea

    SungEon Cho

Authors
  1. Jizi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Naixue Xiong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jong Hyuk Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chunling Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shihua MA
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. SungEon Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jong Hyuk Park.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, J., Xiong, N., Park, J.H. et al. Intelligent model design of cluster supply chain with horizontal cooperation. J Intell Manuf 23, 917–931 (2012). https://doi.org/10.1007/s10845-009-0359-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-009-0359-6

Keywords

Search

Navigation