A New Optimization Model for Project Portfolio Selection Under Interval-Valued Fuzzy Environment

2015 ◽  
Vol 40 (11) ◽  
pp. 3351-3361 ◽  
Author(s):  
Vahid Mohagheghi ◽  
S. Meysam Mousavi ◽  
Behnam Vahdani
Keyword(s):  
Portfolio Selection ◽  
Optimization Model ◽  
Project Portfolio ◽  
Project Portfolio Selection ◽  
Fuzzy Environment ◽  
Interval Valued

scholarly journals A TYPE-2 FUZZY OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION AND SCHEDULING INCORPORATING PROJECT INTERDEPENDENCY AND SPLITTING

2021 ◽  
Vol 27 (2) ◽  
pp. 493-510
Author(s):  
Samaneh Zolfaghari ◽  
Seyed Meysam Mousavi ◽  
Jurgita Antuchevičienė
Keyword(s):  
Portfolio Selection ◽  
Optimization Model ◽  
Fuzzy Optimization ◽  
Project Portfolio ◽  
Time Value Of Money ◽  
Solution Approach ◽  
Project Portfolio Selection ◽  
The Interest Rate ◽  
Interval Type

This paper presents a new optimization model and a new interval type-2 fuzzy solution approach for project portfolio selection and scheduling (PPSS) problem, in which split of projects and re-execution are allowable. Afterward, the approach is realized as a multi-objective optimization that maximizes total benefits of projects concerning economic concepts by considering the interest rate and time value of money and minimizes the tardiness value and total number of interruptions of chosen projects. Besides, budget and resources limitation, newfound relations are proposed to consider dependency relationships via a synergy among projects to solve PPSS problem hiring interval type-2 fuzzy sets. For validation of the model, numerical instances are provided and solved by a new extended procedure based on fuzzy optimistic and pessimistic viewpoints regarding several situations. In the end, their results are studied. The results show that it is more beneficial when projects are allowed to be split.

Project portfolio selection and scheduling under a fuzzy environment

2019 ◽  
Vol 11 (4) ◽  
pp. 391-406 ◽  
Author(s):  
Xiaoxiong Zhang ◽  
Keith W. Hipel ◽  
Yuejin Tan
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Project Portfolio Selection ◽  
Fuzzy Environment

A scenario-based mathematical approach to a robust project portfolio selection problem under fuzzy uncertainty

2021 ◽  
pp. 1-14
Author(s):  
Saeed Karimi ◽  
Saeed Mirzamohammadi ◽  
MirSaman Pishvaee
Keyword(s):  
Portfolio Selection ◽  
Confidence Level ◽  
Optimization Model ◽  
Selection Problem ◽  
Programming Approach ◽  
Project Portfolio ◽  
Portfolio Selection Problem ◽  
Project Portfolio Selection ◽  
Proposed Model ◽  
Uncertainty Of Parameters

As a major concern of chief managers in each organization, project portfolio selection has a special place in their responsibilities. To assist managers in making decisions, applicable optimization models play an essential role in such processes. In this regard, this paper provides a stochastic optimization model for a project portfolio selection problem under different scenarios. Providing the novelty in the model along with making it closer to reality, the interdependency between revenue and cost of projects is considered. Due to the inherent uncertainty of parameters, the revenue and cost of each project, as well as contributed capital, follow triangular fuzzy parameters. Contrary to the previous model, the appreciation of assets is considered in the proposed model as the other novelty of the proposed model. To tackle the uncertainty of parameters, a robust possibilistic approach is used, which has been first-ever devised in such problems. Being both optimistic and pessimistic approaches available for decision-makers, a new measure is introduced to make the model inclusive. Moreover, by considering the confidence level as both parameter and decision variables, the robust possibilistic programming approach is adopted to solve the proposed model. Using the new proposed measure, the optimal average value of robust model are obtained under different confidence level. Finally, solving the optimization model, the results are provided by implementing the realization for uncertain parameters, and regarding the obtained results, discussions are made to provide some insights to the managers.

scholarly journals A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Kyle Robert Harrison ◽  
Saber Elsayed ◽  
Ivan L. Garanovich ◽  
Terence Weir ◽  
Michael Galister ◽  
...  
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Scheduling Problem ◽  
Population Approach ◽  
Project Portfolio Selection

scholarly journals Competence-driven project portfolio selection, scheduling and staff assignment

2009 ◽  
Author(s):  
Walter J. Gutjahr ◽  
Stefan Katzensteiner ◽  
Peter Reiter ◽  
Christian Stummer ◽  
Michaela Denk
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Project Portfolio Selection ◽  
Staff Assignment
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