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Fuzzy Improvement-Project Portfolio Selection Considering Financial Performance and Customer Satisfaction

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  • Nantasak Tansakul

    (Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand)

  • Pisal Yenradee

    (Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand)

Abstract

This article develops a suitable and practical method for improvement-project portfolio selection under uncertainty, based on the requirements of a bank in Thailand. A significant contribution of this article is that the proposed method can determine an optimal project portfolio, to satisfy the customer/employee satisfaction targets and an investment budget constraint. This allows users to estimate parameters as triangular fuzzy numbers under pessimistic, most likely, and optimistic situations. Four mathematical models are proposed to maximize the defuzzified values of fuzzy NPV and fuzzy BCR, and to maximize the possibility that the project portfolio is economically justified under fuzzy situations of NPV and BCR. Results reveal that maximizing the defuzzified value of fuzzy NPV offers the most favorable result since it maximizes the current wealth of the bank. Additionally, the possibility that the entire project portfolio is economically justified under all fuzzy situations is relatively high for all numerical cases.

Suggested Citation

  • Nantasak Tansakul & Pisal Yenradee, 2020. "Fuzzy Improvement-Project Portfolio Selection Considering Financial Performance and Customer Satisfaction," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 11(2), pages 41-70, April.
    • Handle: RePEc:igg:jkss00:v:11:y:2020:i:2:p:41-70
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