A Two-Stage Recourse Model for Production Planning with Stochastic Demand

  • K. K. Lai
  • Stephen C. H. Leung
  • Yue Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3483)

Abstract

Production planning problems play a vital role in the supply chain management. The methodology of production planning problem can provide the quantity of production and the workforce level at each production plant to fulfil market demand. This paper develops a stochastic programming model with additional constraints. A set of data from a multinational lingerie company in Hong Kong is used to demonstrate the robustness and effectiveness of the proposed model.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Baykasoglu, A.: MOAPPS 1.0: Aggregate Production Planning Using the Multiple-Objective Tabu Search. International Journal of Production Research 39, 3685–3702 (2001)MATHCrossRefGoogle Scholar
  2. 2.
    Dantzig, G.B.: Linear Programming Under Uncertainty. Management Science 1, 197–206 (1955)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Hung, Y.F., Hu, Y.C.: Solving Mixed Integer Programming Production Planning Problems with Setups by Shadow Price Information. Computers and Operations Research 25, 1027–1042 (1998)MATHCrossRefGoogle Scholar
  4. 4.
    Hung, Y.F., Shih, C.C., Chen, C.P.: Evolutionary Algorithms for Production Planning Problems with Setup Decisions. Journal of the Operational Research Society 50, 857–866 (1999)MATHGoogle Scholar
  5. 5.
    Masud, A.S.M., Hwang, C.L.: An Aggregate Production Planning Model and Application of Three Multiple Objective Decision Methods. International Journal of Production Research 18, 741–752 (1980)CrossRefGoogle Scholar
  6. 6.
    Mazzola, J.B., Neebe, A.W., Rump, C.M.: Multiproduct Production Planning in the Presence of Work-Force Learning. European Journal of Operational Research 10, 336–356 (1998)CrossRefGoogle Scholar
  7. 7.
    Nam, S.J., Logendran, R.: Aggregate Production Planning – A Survey of Models and Methodologies. European Journal of Operational Research 61, 255–272 (1992)CrossRefMATHGoogle Scholar
  8. 8.
    Ozdamar, L., Bozyel, M.A., Birbil, S.I.: A Hierarchical Decision Support System for Production Planning (with Case Study). European Journal of Operational Research 104, 403–422 (1998)CrossRefGoogle Scholar
  9. 9.
    Wang, D., Fang, S.C.: A Genetics-Based Approach for Aggregated Production Planning in a Fuzzy Environment. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Human 27, 636–645 (1997)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • K. K. Lai
    • 1
    • 2
  • Stephen C. H. Leung
    • 1
  • Yue Wu
    • 3
  1. 1.Department of Management SciencesCity University of Hong KongHong Kong
  2. 2.College of Business AdministrationHunan UniversityChina
  3. 3.School of ManagementUniversity of SouthamptonSouthamptonUK

Personalised recommendations