Advertisement

A Framework to Optimize Production Planning in the Vaccine Industry

  • Néjib Moalla
  • Abdelaziz Bouras
  • Gilles Neubert
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 246)

Abstract

In the literature, production planning optimization works are widely approached by mathematical researches to integrate more data and constraints toward delivering more reliable plans. In the particular context of vaccine industry, the vaccine product is a molecular substance with diverse definitions and presentations that involve with the closely coordination of many actors in the company. When it is difficult to support planning process by optimization solution, our contribution in this paper consists of proposing a production planning framework to structure some data integration issues according to different planning levels. With the correspondence of a better data management among production planning process, we aim to decline some best practices to provide more stable and reliable plans.

Keywords

Supply Chain Management Production Planning Market Authorization Optimize Production Planning Reliable Plan 
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.

Bibliography

  1. 1.
    FDA report, Challenge and opportunity on the critical path to new medical products, U.S. Food and Drug Administration, March 2004, 31 p.Google Scholar
  2. 2.
    FDA final report, Pharmaceutical CGMPs for the 21st century —a risk-based approach, U.S. Food and Drug Administration, September 2004, 29p.Google Scholar
  3. 3.
    E. Salinsky and C. Werble, The vaccine industry: Does it need a shot in the arm?, National Health Policy Forum, Background Paper, January 25, 2006, 34 p.Google Scholar
  4. 4.
    C. Grace, Global health partnership impact on commodity pricing and security, DFID Health Resource, 2004, 22p.Google Scholar
  5. 5.
    S. Thaul, Vaccine policy issues for the 108h congress, The library of Congress, Order code RL31793, updated May 22, 2003, 16p.Google Scholar
  6. 6.
    P. Kelle and A. Akbulut, The role of ERP tools in supply chain information sharing, cooperation, and cost optimization, Int. J. Production Economics 93–94, 2005, p.41–52.CrossRefGoogle Scholar
  7. 7.
    V. Martin, Software component architecture in supply chain management, Computers in Industry, Volume 53,Issue 2, February 2004, p 165–178.Google Scholar
  8. 8.
    A. Hatchuel, D. Saidi-Kabeche and J.C. Sardas, Towards a new planning and scheduling approach for multistage production systems, International Journal of Production Research, Volume 35,Issue 3 March 1997, p 867–886.MATHCrossRefGoogle Scholar
  9. 9.
    Y. Chang and D. McFarlane, Supply Chain Management Using Auto-ID Systems, Book chapter in Evolution of Supply Chain Management, Copyright 2004, ISBN 978-1-4020-7812-5 (Print), part 3, p 367–392.Google Scholar
  10. 10.
    T. Wuttiporapun and P. Yenradee, Development of finite capacity material requirement planning system for assembly operations, Production Planning & Control, Volume 15, 2004, p 534–549.CrossRefGoogle Scholar
  11. 11.
    R.C. Wang and T.F. Liang, Application of fuzzy multi-objective linear programming to aggregate production planning, Computers and Industrial Engineering, Volume 46,Issue 1 (March 2004), p17–41.CrossRefGoogle Scholar
  12. 12.
    B. Srinivasan, S. Palanki and D. Bonvin, Dynamic optimization of batch processes: Characterization of the nominal solution, Computers and Chemical Engineering 27 (2003), p 1–26.CrossRefGoogle Scholar
  13. 13.
    N.V. Sahinidis, Optimization under uncertainty: state-of-the-art and opportunities, Computers and Chemical Engineering 28 (2004), p 971–983.CrossRefGoogle Scholar
  14. 14.
    H.O. Günther, D.C. Mattfeld and L. Suhl, Supply Chain Management and Advanced Planning Systems: A Tutorial, book chapter in Supply Chain Management und Logistik, Copyright 2005, ISBN 978-3-7908-1576-4 (Print), p 3–40.Google Scholar
  15. 15.
    T. Peakman, S. Franks, C. White and M. Beggs, Delivering the power of discovery in large pharmaceutical organizations, Drug Discovery Today Vol. 8,No. 5 March 2003, 9 pages.Google Scholar
  16. 16.
    N. Moalla, A. Bouras, G. Neubert, Y. Ouzrout and N. Tricca, Data Compliance in Pharmaceutical Industry, Interoperability to align Business and Information Systems, ICEIS 2006, International Conference on Enterprise Information Systems, PAPHOS, CYPRUS. 23–27, May 2006, pp. 79–86.Google Scholar
  17. 17.
    N. Moalla, A. Bouras and Y. Ouzrout, Production Data Integration in the Vaccine Industry, 5th International Conference on Industrial Informatics, Austria, 23–27, July 2007, (accepted).Google Scholar

Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Néjib Moalla
    • 1
    • 2
  • Abdelaziz Bouras
    • 1
  • Gilles Neubert
    • 1
  1. 1.CERRAL/LIESP IUT Lumière Lyon 2BronFrance
  2. 2.Sanofi Pasteur / Campus Mérieux 1541Marcy-L’étoileFrance

Personalised recommendations