skip to main content
10.5555/1218112.1218371acmconferencesArticle/Chapter ViewAbstractPublication PageswscConference Proceedingsconference-collections
Article

Linking strategic objectives to operations: towards a more effective supply chain decision making

Published: 03 December 2006 Publication History

Abstract

Supply chain managers today face an unremitting challenge to their capabilities in both the volume and complexity of factors to be reconciled. In order to achieve more effective decision making, it is very necessary to link strategic objectives to operational actions. However, little is available to guide managers in translating a set of objectives into operations so far. This paper presents a comprehensive methodology to address this gap. In this methodology, strategic objectives are translated into performance metrics by qualitative strategy map and metric network firstly, and then quantitative techniques such as system dynamics simulation and optimization are adopted to take managers through the stages of strategy mapping, action evaluation and decision making. A case study, supported by a software tool, is carried out throughout the paper to illustrate how the method works.

References

[1]
Akkermans, H. and Kim van Oorschot. 2002. Developing a balanced scorecard with system dynamics. Proceeding of 2002 International System Dynamics Conference.
[2]
Banker, R. D., H. Chang, S. N. Janakiraman, and C. Konstans. 2004. A balanced scorecard analysis of performance metrics. European Journal of Operational Research 154(2): 423--436.
[3]
Dong, Jin, Hongwei Ding, Changrui Ren, and Wei Wang. 2006. IBM SmartSCOR - a SCOR based supply chain transformation platform through simulation and optimization techniques. Proceedings of the 2006 Winter Simulation Conference, accepted.
[4]
Forrester, J. W. 1961. Industrial dynamics. MIT Press, Cambridge, MA.
[5]
Garvin, D. A. 1993. Manufacturing strategic planning. California Management Review 35(4): 85--106.
[6]
Kaplan, R. S. and D. P. Norton. 1992. The balanced score-card: measures that drive performance. Harvard Business Review January-February: 71--79.
[7]
Kaplan, R. S. and D. P. Norton. 1993. Putting the balanced scorecard to work. Harvard Business Review September-October: 134--142.
[8]
Kaplan, R. S. and D. P. Norton. 1996. Using the balanced scorecard as a strategic management system. Harvard Business Review January-February: 75--85.
[9]
Kaplan, R. S. and D. P. Norton. 2000. Having trouble with your strategy? Then map it. Harvard Business Review September-October: 167--176.
[10]
Kaplan, R. S. and D. P. Norton. 2001a. Transforming the balanced scorecard from performance measurement to strategic management: Part I. Accounting Horizons 15(1): 87--104.
[11]
Kaplan, R. S. and D. P. Norton. 2001b. Transforming the balanced scorecard from performance measurement to strategic management: Part II. Accounting Horizons 15(2): 147--160.
[12]
Malina, M. A. and F. H. Selto. 2006. Causality in performance measurement models {online}. Available via <http://www-us.colorado.edu/faculty/selto/home.html> {accessed March 17, 2006}.
[13]
Mayo, D. D. and K. E. Wichmann. 2003. Tutorial on business and market modeling to aid strategic decision making: system dynamics in perspective and selecting appropriate analysis approaches. Proceedings of the 2003 Winter Simulation Conference, eds. S. Chick, P. J. Sanchez, D. Ferrin, and D. J. Morrice. 1569--1577.
[14]
Rabelo, L., M. Helal, and C. Lertpattarapong. 2004. Analysis of supply chains using system dynamics, neural nets, and eigenvalues. Proceedings of the 2004 Winter Simulation Conference, eds. R. G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters. 1136--1144.
[15]
Saaty, T. L. 1980. The analytic hierarchy process. McGraw-Hill, New York.
[16]
Santos, S. P., Valerie Belton, and Susan Howick. 2002. Adding value to performance measurement by using system dynamics and multicriteria analysis. International Journal of Operations & Production Management 22(11): 1246--1272.
[17]
Schoeneborn, F. 2003. Linking balanced scorecard to system dynamics. Proceeding of 2003 International System Dynamics Conference.
[18]
Supply-Chain Council. 2006. SCOR version 7.0 overview {online}. Available via <http://www.supply-chain.org> {accessed March 21, 2006}.
[19]
Suwignjo, P., U. S. Bititci, and A. S. Carrie. 2000. Quantitative models for performance measurement system. International Journal of Production Economics 63(1--3): 231--241.
[20]
Tan, K. H. and K. Platts. 2003. Linking objectives to actions: a decision support approach based on cause-effect linkages. Decision Sciences 34(3):569--593.
[21]
Wolstenholme, E. 1998. Balanced strategies for balanced scorecards: the role of system dynamics in supporting balanced scorecard and value based management. Proceeding of 1998 International System Dynamics Conference.
[22]
Young, S. H. and C. K. Tu. 2004. Exploring some dynamically aligned principles of developing a balanced scorecard. Proceeding of 2004 International System Dynamics Conference.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

Publisher

Winter Simulation Conference

Publication History

Published: 03 December 2006

Check for updates

Qualifiers

  • Article

Conference

WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 606
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 14 Sep 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media