Skip to main content

Methodology for Supply Chain Configuration

  • Chapter
  • 1676 Accesses

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.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abu-Suleiman A, Boardman B, Priest JW (2004) A framework for an integrated supply chain performance management system. IIE Annual Conference and Exhibition 2004: 613–618

    Google Scholar 

  • Arlow J, Neustadt I (2005) UML 2 and the Unified Process: Practical Object-Oriented Analysis and Design. Upper Saddle River: Addison-Wesley

    Google Scholar 

  • Ballou RH (2001) Unresolved issues in supply chain network design. Information Systems Frontiers 3:417–426

    Article  Google Scholar 

  • Bowersox DJ, Closs DJ, Cooper MB (2002) Supply chain logistics management. Boston: McGraw-Hill

    Google Scholar 

  • Bubenko J, Johannesson P, Wangler B, Boman M (1998) Conceptual Modelling. New York: Prentice-Hall

    Google Scholar 

  • Chandler AD (1962) Strategy and Structure: Chapters in the History of the American Industrial Enterprise. Cambridge: MIT Press

    Google Scholar 

  • Charnes, A, Cooper, WW, Lewin, AJ, Seiford, LM, 1994. Data Envelopment Analysis: Theory, Methodology and Applications. Boston: Kluwer

    MATH  Google Scholar 

  • Chopra S, Meindl P (2004) Supply Chain Management: Strategy, Planning, and Operation. Upper Saddle River: Prentice Hall

    Google Scholar 

  • Choy KL, Lee WB, Lo V (2002) An intelligent supplier management tool for benchmarking suppliers in outsource manufacturing. Expert Systems with Applications 22:213–224

    Article  Google Scholar 

  • Curran TA, Ladd A (2000) SAP R/3 Business Blueprint: Understanding Enterprise Supply Chain Management. Upper Saddle River: Prentice Hall PTR

    Google Scholar 

  • De Boer L, Labro E, Morlacchi P (2001) A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management 7:75–89

    Article  Google Scholar 

  • 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. 1867–1872

    Google Scholar 

  • Drezner Z, Hamacher H (2002) Facility Location: Applications and Theory. Berlin: Springer

    MATH  Google Scholar 

  • 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 56–57:199–212

    Article  Google Scholar 

  • Harland C (1996) Supply network strategies: The case of health supplies. European Journal of Purchasing & Supply Management 2:183–192

    Article  Google Scholar 

  • 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, 1–32

    Google Scholar 

  • Kimball R, Reeves L, Ross M, Thornthwaite W (1998) The Data Warehouse Lifecycle Toolkit. New York: John Wiley

    Google Scholar 

  • Kleijnen JPC (1987) Statistical tools for simulation practitioners. New York: Marcel Dekker

    MATH  Google Scholar 

  • Kosanke K, Vernadat F, Zelm M (1999) CIMOSA: enterprise engineering and integration. Computers in Industry 40:83–97

    Article  Google Scholar 

  • Korpela J, Lehmusvaara A, Tuominen M (2001) An analytic approach to supply chain development. International Journal of Production Economics 71:1–3, 145–155

    Article  Google Scholar 

  • Law AM, Kelton WD (2000) Simulation Modeling and Analysis. New York: McGraw-Hill

    Google Scholar 

  • Lee HL, Whang S (2000) Information sharing in supply chain. International Journal of Technology Management 20:373

    Article  Google Scholar 

  • Li D, O’Brien C (1999) Integrated decision modelling of supply chain efficiency. International Journal of Production Economics 59:147–157

    Article  Google Scholar 

  • Limayem M, DeSanctis G (1999) Providing Decisional Guidance for Multicriteria Decision Making in Groups. Information Systems Research 11:386–401

    Article  Google Scholar 

  • Maccrimmon KR, Taylor RN (1976) Decision making and problem solving. Handbook of Individual and Organizational Psychology, pp. 1397–1453

    Google Scholar 

  • Malhotra MK, Sharma S, Nair SS (1999) Decision making using multiple models. European Journal of Operational Research 114:1–14

    Article  MATH  Google Scholar 

  • 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. 65–80

    Chapter  Google Scholar 

  • Montgomery DC (1996) Introduction to statistical quality control. New York: Wiley

    Google Scholar 

  • Naim MM (1996) Methodology before technology. Manufacturing Engineer 75:3, 122–125

    Article  Google Scholar 

  • Owen SH, Daskin MS (1998) Strategic facility location: A review. European Journal of Operational Research 111:423–447

    Article  MATH  Google Scholar 

  • Owen SH, Daskin MS (1998) Strategic facility location: A review. European Journal of Operational Research 111:423–447

    Article  MATH  Google Scholar 

  • Piramuthu S (2005) Knowledge-based framework for automated dynamic supply chain configuration. European Journal of Operational Research 165:219–230

    Article  MATH  MathSciNet  Google Scholar 

  • Ross A, Venkataramanan MA, Ernstberger KW (1998) Reconfiguring the supply network using current performance data. Decision Science 29:707–728

    Google Scholar 

  • Shapiro JF (2001) Modeling and IT perspectives on supply chain integration. Information Systems Frontiers 3:455–464

    Article  Google Scholar 

  • Simchi-Levi D, Kaminsky P, Simchi-Levi E (2003) Designing and managing the supply chain, New York: Irwin: McGraw-Hill

    Google Scholar 

  • 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 3:471–476

    Article  Google Scholar 

  • Talluri S, Baker RC (2002) A multi-phase mathematical programming approach for effective supply chain design. European Journal of Operational Research 141:544–558

    Article  MATH  Google Scholar 

  • Truong TH, Azadivar F (2005) Optimal design methodologies for configuration of supply chains. International Journal of Production Research 43:2217–2236

    Google Scholar 

  • Tung L-L, Turban E (1998) A proposed research framework for distributed group support systems. Decision Support Systems 23:175–188

    Article  Google Scholar 

  • Vaidya OS, Kumar S (2006) Analytic hierarchy process: An overview of applications. European Journal of Operational Research 169:1–29

    Article  MATH  MathSciNet  Google Scholar 

  • Vonderembse MA, Uppal M, Huang SH, Dismukes JP (2006) Designing supply chains: Towards theory development. International Journal of Production Economics 100:223–238

    Article  Google Scholar 

  • Wang G, Huang SH, Dismukes JP (2004) Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics 91:1–15

    Article  Google Scholar 

  • Weber CA, Current JR, Benton WC (1991) Vendor selection criteria and methods. European Journal of Operational Research 50:2–18

    Article  Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Science+Business Media, LLC.

About this chapter

Cite this chapter

(2007). Methodology for Supply Chain Configuration. In: Supply Chain Configuration. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-68155-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-68155-9_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-25190-5

  • Online ISBN: 978-0-387-68155-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics