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Representation and Analysis of Multi-Stage Problems in R & D

Author

Listed:
  • A. G. Lockett

    (Manchester Business School)

  • A. E. Gear

    (Manchester Business School)

Abstract

The paper describes a method of representing and analysing the multi-stage, dynamic nature of many types of research and development projects. The method makes use of a number of well-known techniques, decision trees, mathematical programming and simulation in combination. Each project which could form part of a laboratory portfolio is represented in a modified decision tree format called a "project tree," and the project trees are then considered in one analysis based on heuristics. The approach is demonstrated using a small illustrative example, and an industrial case study is described, giving attention to computational problems of size.

Suggested Citation

  • A. G. Lockett & A. E. Gear, 1973. "Representation and Analysis of Multi-Stage Problems in R & D," Management Science, INFORMS, vol. 19(8), pages 947-960, April.
  • Handle: RePEc:inm:ormnsc:v:19:y:1973:i:8:p:947-960
    DOI: 10.1287/mnsc.19.8.947
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    Cited by:

    1. Scobie, Grant M., 1984. "Investment in Agricultural Research: Some Economic Principles," Economics Working Papers 232447, CIMMYT: International Maize and Wheat Improvement Center.
    2. B. De Reyck & Y. Grushka-Cockayne & R. Leus, 2007. "A New Challenge in Project Scheduling. The Incorporation of Activity Failures," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 410-435.
    3. Greig, I.D., 1981. "Agricultural Research Management and the Ex Ante Evaluation of Research Proposals : A Review," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(02), pages 1-22, August.

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