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Optimal project selection with random fuzzy parameters

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  • Huang, Xiaoxia

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  • Huang, Xiaoxia, 2007. "Optimal project selection with random fuzzy parameters," International Journal of Production Economics, Elsevier, vol. 106(2), pages 513-522, April.
    • Handle: RePEc:eee:proeco:v:106:y:2007:i:2:p:513-522
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    1. Jiang, R. & Zhang, W. J. & Ji, P., 2003. "Required characteristics of statistical distribution models for life cycle cost estimation," International Journal of Production Economics, Elsevier, vol. 83(2), pages 185-194, February.
    2. James H. Lorie & Leonard J. Savage, 1955. "Three Problems in Rationing Capital," The Journal of Business, University of Chicago Press, vol. 28, pages 229-229.
    3. Liang, P & Song, F, 1994. "Computer-aided risk evaluation system for capital investment," Omega, Elsevier, vol. 22(4), pages 391-400, July.
    4. Jean, William H., 1971. "Terminal Value or Present Value in Capital Budgeting Programs," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 6(1), pages 649-651, January.
    5. A. Charnes & W. W. Cooper, 1959. "Chance-Constrained Programming," Management Science, INFORMS, vol. 6(1), pages 73-79, October.
    6. H. Martin Weingartner, 1966. "Capital Budgeting of Interrelated Projects: Survey and Synthesis," Management Science, INFORMS, vol. 12(7), pages 485-516, March.
    7. Ip, W. H. & Yung, K. L. & Wang, Dingwei, 2004. "A branch and bound algorithm for sub-contractor selection in agile manufacturing environment," International Journal of Production Economics, Elsevier, vol. 87(2), pages 195-205, January.
    8. K Iwamura & B Liu, 1998. "Chance constrained integer programming models for capital budgeting in fuzzy environments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 49(8), pages 854-860, August.
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    Cited by:

    1. Roychaudhuri, Pritam Sankar & Kazantzi, Vasiliki & Foo, Dominic C.Y. & Tan, Raymond R. & Bandyopadhyay, Santanu, 2017. "Selection of energy conservation projects through Financial Pinch Analysis," Energy, Elsevier, vol. 138(C), pages 602-615.
    2. Ho, William & Ji, Ping, 2010. "Integrated component scheduling models for chip shooter machines," International Journal of Production Economics, Elsevier, vol. 123(1), pages 31-41, January.
    3. Javier Panadero & Jana Doering & Renatas Kizys & Angel A. Juan & Angels Fito, 2020. "A variable neighborhood search simheuristic for project portfolio selection under uncertainty," Journal of Heuristics, Springer, vol. 26(3), pages 353-375, June.
    4. Shamir, Noam & Zvilichovsky, David, 2022. "Dynamic reputation, project selection and market efficiency: The importance of small projects," International Journal of Production Economics, Elsevier, vol. 248(C).
    5. Huang, Xiaoxia & Xiang, Lan & Islam, Sardar M.N., 2014. "Optimal project adjustment and selection," Economic Modelling, Elsevier, vol. 36(C), pages 391-397.
    6. F. Perez & T. Gomez, 2016. "Multiobjective project portfolio selection with fuzzy constraints," Annals of Operations Research, Springer, vol. 245(1), pages 7-29, October.
    7. Li, Mo & Guo, Ping, 2015. "A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 155(C), pages 53-66.
    8. Augustinas Maceika & Andrej Bugajev & Olga Regina Šostak & Tatjana Vilutienė, 2021. "Decision Tree and AHP Methods Application for Projects Assessment: A Case Study," Sustainability, MDPI, vol. 13(10), pages 1-33, May.
    9. Fausto Balderas & Eduardo Fernandez & Claudia Gomez-Santillan & Nelson Rangel-Valdez & Laura Cruz, 2019. "An Interval-Based Approach for Evolutionary Multi-Objective Optimization of Project Portfolios," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1317-1358, July.

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