Principles for Real-Time, Integrated Supply Chain Control: An Example from Distribution of Pharmaceuticals

  • Heidi C. Dreyer
  • Jan Ola Strandhagen
  • Anita Romsdal
  • Annette Hoff
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 338)


This paper investigates how to control an integrated supply chain based on demand-driven principles and sharing of real time information. A set of principles to support a unified supply chain control model is proposed based on theory and previous and ongoing research and illustrated in a case example from the pharmaceutical industry. Essential elements include application of pull-based control principles, automated decision support, advanced visualisation, and automated replenishment concepts. Expected effects include improvement of supply chain speed and reliability, and reduced resource consumption. However, implementation challenges associated with financial, political and trust issues in supply chain relationships remain.


Supply chain control real-time information demand-driven 


  1. 1.
    Coughlan, P., Coghlan, D.: Action Research for Operations Management. In: Karlsson, C. (ed.) Researching Operations Management. Taylor & Francis, New York (2008)Google Scholar
  2. 2.
    Greenwood, D.J., Levin, M.: Introduction to Action Research: social research for social change, 2nd edn. Sage Publications, Thousand Oaks (2007)Google Scholar
  3. 3.
    Jonsson, P., Lindau, R.: The supply chain planning studio: utilising the synergic power of teams and information visibility. In: Solem, O. (ed.) NOFOMA Annual Conference for Nordic Researchers in Logistics: Promoting Logistics Competence in Industry and Research, pp. 115–130. Norwegian University of Science and Technology, Trondheim (2002)Google Scholar
  4. 4.
    Vollmann, T.E., et al.: Manufacturing Planning and Control for Supply Chain Management. McGraw-Hill, Boston (2005)Google Scholar
  5. 5.
    Shi, Y., Gregory, M.: International manufacturing networks - to develop global competitive capabilities. Journal of Operations Management 16(2, 3), 195–214 (1998)CrossRefGoogle Scholar
  6. 6.
    Dreyer, H.C., et al.: Global supply chain control systems: a conceptual framework for the global control centre. Production Planning & Control 20(2), 147–157 (2009)CrossRefGoogle Scholar
  7. 7.
    Zijm, W.H.M.: Towards Intelligent Manufacturing Planning and Control Systems. OR Spektrum 22, 313–345 (2000)zbMATHGoogle Scholar
  8. 8.
    Alfnes, E., Strandhagen, J.O.: Enterprise Design for Mass Customization - the Control Model Methodology. International Journal of Logistics 3(2) (2000)Google Scholar
  9. 9.
    Mason-Jones, R., Towill, D.R.: Using the Information Decoupling Point to Improve Supply Chain Performance. The International Journal of Logistics Management 10(2), 13–26 (1999)CrossRefGoogle Scholar
  10. 10.
    Daugherty, P.J., Myers, M.B., Autry, C.W.: Automatic replenishment programs: an empirical examination. Journal of Business Logistics 20(2), 63–82 (1999)Google Scholar
  11. 11.
    Sabath, R.E., Autry, C.W., Daugherty, P.J.: Automatic replenishment programs: The impact of organizational structure. Journal of Business Logistics 22(1), 91–105 (2001)Google Scholar
  12. 12.
    Mattsson, S.-A., Jonsson, P.: Produktionslogistik, Lund, Studentlitteratur (2003)Google Scholar
  13. 13.
    Chan, F.T.S., Qi, H.J.: Feasibility of Performance Measurement System for Supply Chain: A process-based approach and measures. Integrated Manufacturing Systems 14(3), 179–190 (2003)CrossRefMathSciNetGoogle Scholar
  14. 14.
    Lapide, L.: True Measures of Supply Chain Performance. Supply Chain Management Review, 25–28 (July/August 2000)Google Scholar
  15. 15.
    Bititci, U.S., Turner, T., Begemann, C.: Dynamics of Performance Measurement Systems. International Journal of Operations & Production Management 20(6), 692–704 (2000)CrossRefGoogle Scholar
  16. 16.
    Neely, A., et al.: Performance Measurement System Design: Developing and Testing a Process-Based Approach. International Journal of Operations & Production Management 20(10), 1119–1145 (2000)CrossRefGoogle Scholar
  17. 17.
    Power, D.J.: Decision Support Systems: Concepts and Resources for Managers, Westport, Connecticut: Quorum books (2002)Google Scholar
  18. 18.
    Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E.: Designing and Managing the Supply Chain. In: Concepts, Strategies and Case Studies, 3rd edn. McGraw-Hill/Irwin, Boston (2008)Google Scholar
  19. 19.
    Turban, E., et al.: Decision support and business intelligence systems, vol. XXVIII, p. 772s. Pearson/Prentice Hall, Upper Saddle River (2007)Google Scholar
  20. 20.
    Sodhi, M.S.: Applications and opportunities for operations research in internet-enabled supply chains and electronic marketplaces. Interfaces 31(2), 56–69 (2001)CrossRefGoogle Scholar
  21. 21.
    Bjartnes, R., et al.: Intelligent and Demand Driven Manufacturing Network Control Concepts. In: The Third World Conference on Production and Operations Management, JOMSA, Editor, Tokyo, Japan (2008)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Heidi C. Dreyer
    • 1
  • Jan Ola Strandhagen
    • 2
  • Anita Romsdal
    • 1
  • Annette Hoff
    • 2
  1. 1.Department of Production and Quality Engineering, NTNUNorwegian University of Science and TechnologyValgrindaNorway
  2. 2.Department of Industrial ManagementSINTEF Technology and SocietyNorway

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