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Information Journal Paper

Title

Project Portfolio Selection Using a Combination of Fuzzy Analytic Hierarchy Process and A Modified Integer Linear Programming

Pages

  339-385

Abstract

 The selection of project portfolio is the main problem in project-based organizations. In project selection, optimized decision to maximizing utilization of limited resources and achieving organizational goals by considering restrictions are important. Therefore, to facilitate Project portfolio selection in project-based organizations, an efficient model is proposed that is able to consider limitations, goals, and priorities of the organization in selecting the optimal combination of projects. The proposed model is a hybrid and flexible one which, including four main steps. First, with initial screening, to save time and money by using non-compensatory method, some of the poor candidate options are deleted. Then, due to multi-criteria nature of the problem, qualitative and quantitative criteria, and uncertainty of data in real world, the projects are ranked using fuzzy analytic hierarchy processes and uncertain judgments of decision-makers. To generate project baskets, integer linear programming (ILP), backpack model, is employed modifying the coefficients of the objective function of each project to preserve multi-criteria rating of projects, and then evaluate and rank the baskets. To validate the proposed model, we have carried out selection of project portfolio in the oil refining industry.

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    APA: Copy

    Akhavan tapesari, neda, SHIRAZI, BABAK, & TAJDIN, ALI. (2019). Project Portfolio Selection Using a Combination of Fuzzy Analytic Hierarchy Process and A Modified Integer Linear Programming. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 17(52 ), 339-385. SID. https://sid.ir/paper/213265/en

    Vancouver: Copy

    Akhavan tapesari neda, SHIRAZI BABAK, TAJDIN ALI. Project Portfolio Selection Using a Combination of Fuzzy Analytic Hierarchy Process and A Modified Integer Linear Programming. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2019;17(52 ):339-385. Available from: https://sid.ir/paper/213265/en

    IEEE: Copy

    neda Akhavan tapesari, BABAK SHIRAZI, and ALI TAJDIN, “Project Portfolio Selection Using a Combination of Fuzzy Analytic Hierarchy Process and A Modified Integer Linear Programming,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 17, no. 52 , pp. 339–385, 2019, [Online]. Available: https://sid.ir/paper/213265/en

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