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Scoring and Profitability Models for Evaluating and Selecting Engineering Projects

Author

Listed:
  • Burton V. Dean

    (Case Institute of Technology, Cleveland, Ohio)

  • Meir J. Nishry

    (The Boeing Company, Seattle, Washington)

Abstract

Recent developments in allocation theory may be applied to research management decision problems in the firm. Of major importance to firms employing engineers in new product development activities are problems involving the specification and allocation of resources such as manpower, funds, equipment, and facilities. To solve these problems, quantitative measures of organizational performance must be derived that are consistent with corporate goals and that include the relevant resource variables, noncontrollable variables, parameters, and constraints. Mathematical models are constructed and solved in this paper that yield solutions for allocating manpower resources to projects. A scoring model is constructed and then used to determine the important factors in a profitability model. The significant elements in the decision process are the uncertainty in estimating model parameter values and the optimal utilization of limited engineering manpower resources where this uncertainty exists.

Suggested Citation

  • Burton V. Dean & Meir J. Nishry, 1965. "Scoring and Profitability Models for Evaluating and Selecting Engineering Projects," Operations Research, INFORMS, vol. 13(4), pages 550-569, August.
    • Handle: RePEc:inm:oropre:v:13:y:1965:i:4:p:550-569
    DOI: 10.1287/opre.13.4.550
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    Cited by:

    1. Bond, Richard & Curran, Johanna & Kirkpatrick, Colin & Lee, Norman & Francis, Paul, 2001. "Integrated Impact Assessment for Sustainable Development: A Case Study Approach," World Development, Elsevier, vol. 29(6), pages 1011-1024, June.
    2. Scobie, Grant M., 1984. "Investment in Agricultural Research: Some Economic Principles," Economics Working Papers 232447, CIMMYT: International Maize and Wheat Improvement Center.
    3. Fastelli, Laura & Landi, Chiara & Rovai, Massimo & Andreoli, Maria, 2017. "A spatial analysis of terrain features and farming styles in a disadvantaged area of Tuscany (Mugello): implications for the evaluation and the design of CAP payments," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(1), May.
    4. Wang, Jue & Xu, Wei & Ma, Jian & Wang, Shouyang, 2013. "A vague set based decision support approach for evaluating research funding programs," European Journal of Operational Research, Elsevier, vol. 230(3), pages 656-665.
    5. Zhu, Qingyun & Dhavale, Dileep G. & Sarkis, Joseph & Wang, Xuan, 2023. "Formalizing organizational product deletion through strategic cross-functional evaluation: A Bayesian analysis approach," International Journal of Production Economics, Elsevier, vol. 262(C).

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