Advertisement

Methodology for Supply Chain Configuration

Abstract

The previous two chapters have highlighted the magnitude of the supply chain configuration problem. Before starting with the description of models and tools available for solving the identified problems, a systematic approach for dealing with the configuration problem is laid out in this chapter. A systematic approach defined by a methodology would facilitate binding together different aspects of the configuration problem and provide problem-solving guidelines.

Keywords

Supply Chain Data Envelopment Analysis Decision Support System Unify Modeling Language Supply Chain Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abu-Suleiman A, Boardman B, Priest JW (2004) A framework for an integrated supply chain performance management system. IIE Annual Conference and Exhibition 2004: 613–618Google Scholar
  2. Arlow J, Neustadt I (2005) UML 2 and the Unified Process: Practical Object-Oriented Analysis and Design. Upper Saddle River: Addison-WesleyGoogle Scholar
  3. Ballou RH (2001) Unresolved issues in supply chain network design. Information Systems Frontiers 3:417–426CrossRefGoogle Scholar
  4. Bowersox DJ, Closs DJ, Cooper MB (2002) Supply chain logistics management. Boston: McGraw-HillGoogle Scholar
  5. Bubenko J, Johannesson P, Wangler B, Boman M (1998) Conceptual Modelling. New York: Prentice-HallGoogle Scholar
  6. Chandler AD (1962) Strategy and Structure: Chapters in the History of the American Industrial Enterprise. Cambridge: MIT PressGoogle Scholar
  7. Charnes, A, Cooper, WW, Lewin, AJ, Seiford, LM, 1994. Data Envelopment Analysis: Theory, Methodology and Applications. Boston: KluwerMATHGoogle Scholar
  8. Chopra S, Meindl P (2004) Supply Chain Management: Strategy, Planning, and Operation. Upper Saddle River: Prentice HallGoogle Scholar
  9. Choy KL, Lee WB, Lo V (2002) An intelligent supplier management tool for benchmarking suppliers in outsource manufacturing. Expert Systems with Applications 22:213–224CrossRefGoogle Scholar
  10. Curran TA, Ladd A (2000) SAP R/3 Business Blueprint: Understanding Enterprise Supply Chain Management. Upper Saddle River: Prentice Hall PTRGoogle Scholar
  11. De Boer L, Labro E, Morlacchi P (2001) A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management 7:75–89CrossRefGoogle Scholar
  12. Dotoli M, Fanti MP, Meloni C, Zhou MC (2003) A decision support system for the supply chain configuration. In: Proc. IEEE Int. Conf. Systems, Man and Cybernetics. Washington, D.C., pp. 1867–1872Google Scholar
  13. Drezner Z, Hamacher H (2002) Facility Location: Applications and Theory. Berlin: SpringerMATHGoogle Scholar
  14. Ghodsypour SH, O’Brien C (1998) A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics 56–57:199–212CrossRefGoogle Scholar
  15. Harland C (1996) Supply network strategies: The case of health supplies. European Journal of Purchasing & Supply Management 2:183–192CrossRefGoogle Scholar
  16. Kamath M, Dalal N, Chaugule A, Sivaraman E, Kolarik W (2003) A review of enterprise process modeling techniques. Scalable Enterprise Systems: An Introduction to Recent Advances, 1–32Google Scholar
  17. Kimball R, Reeves L, Ross M, Thornthwaite W (1998) The Data Warehouse Lifecycle Toolkit. New York: John WileyGoogle Scholar
  18. Kleijnen JPC (1987) Statistical tools for simulation practitioners. New York: Marcel DekkerMATHGoogle Scholar
  19. Kosanke K, Vernadat F, Zelm M (1999) CIMOSA: enterprise engineering and integration. Computers in Industry 40:83–97CrossRefGoogle Scholar
  20. Korpela J, Lehmusvaara A, Tuominen M (2001) An analytic approach to supply chain development. International Journal of Production Economics 71:1–3, 145–155CrossRefGoogle Scholar
  21. Law AM, Kelton WD (2000) Simulation Modeling and Analysis. New York: McGraw-HillGoogle Scholar
  22. Lee HL, Whang S (2000) Information sharing in supply chain. International Journal of Technology Management 20:373CrossRefGoogle Scholar
  23. Li D, O’Brien C (1999) Integrated decision modelling of supply chain efficiency. International Journal of Production Economics 59:147–157CrossRefGoogle Scholar
  24. Limayem M, DeSanctis G (1999) Providing Decisional Guidance for Multicriteria Decision Making in Groups. Information Systems Research 11:386–401CrossRefGoogle Scholar
  25. Maccrimmon KR, Taylor RN (1976) Decision making and problem solving. Handbook of Individual and Organizational Psychology, pp. 1397–1453Google Scholar
  26. Malhotra MK, Sharma S, Nair SS (1999) Decision making using multiple models. European Journal of Operational Research 114:1–14MATHCrossRefGoogle Scholar
  27. Myer H, Stadtler H (2005) Types of supply chains. H. Stadtler and C. Kliger (eds) Supply Chain Management and Advanced Planning. New York: Springer, pp. 65–80CrossRefGoogle Scholar
  28. Montgomery DC (1996) Introduction to statistical quality control. New York: WileyGoogle Scholar
  29. Naim MM (1996) Methodology before technology. Manufacturing Engineer 75:3, 122–125CrossRefGoogle Scholar
  30. Owen SH, Daskin MS (1998) Strategic facility location: A review. European Journal of Operational Research 111:423–447MATHCrossRefGoogle Scholar
  31. Owen SH, Daskin MS (1998) Strategic facility location: A review. European Journal of Operational Research 111:423–447MATHCrossRefGoogle Scholar
  32. Piramuthu S (2005) Knowledge-based framework for automated dynamic supply chain configuration. European Journal of Operational Research 165:219–230MATHCrossRefMathSciNetGoogle Scholar
  33. Ross A, Venkataramanan MA, Ernstberger KW (1998) Reconfiguring the supply network using current performance data. Decision Science 29:707–728Google Scholar
  34. Shapiro JF (2001) Modeling and IT perspectives on supply chain integration. Information Systems Frontiers 3:455–464CrossRefGoogle Scholar
  35. Simchi-Levi D, Kaminsky P, Simchi-Levi E (2003) Designing and managing the supply chain, New York: Irwin: McGraw-HillGoogle Scholar
  36. Stephens S (2001) Supply Chain Operations Reference Model Version 5.0: A New Tool to Improve Supply Chain Efficiency and Achieve Best Practice. Information Systems Frontiers 3:471–476CrossRefGoogle Scholar
  37. Talluri S, Baker RC (2002) A multi-phase mathematical programming approach for effective supply chain design. European Journal of Operational Research 141:544–558MATHCrossRefGoogle Scholar
  38. Truong TH, Azadivar F (2005) Optimal design methodologies for configuration of supply chains. International Journal of Production Research 43:2217–2236Google Scholar
  39. Tung L-L, Turban E (1998) A proposed research framework for distributed group support systems. Decision Support Systems 23:175–188CrossRefGoogle Scholar
  40. Vaidya OS, Kumar S (2006) Analytic hierarchy process: An overview of applications. European Journal of Operational Research 169:1–29MATHCrossRefMathSciNetGoogle Scholar
  41. Vonderembse MA, Uppal M, Huang SH, Dismukes JP (2006) Designing supply chains: Towards theory development. International Journal of Production Economics 100:223–238CrossRefGoogle Scholar
  42. Wang G, Huang SH, Dismukes JP (2004) Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics 91:1–15CrossRefGoogle Scholar
  43. Weber CA, Current JR, Benton WC (1991) Vendor selection criteria and methods. European Journal of Operational Research 50:2–18CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2007

Personalised recommendations