scholarly journals Scaling up a Project Portfolio Selection Technique by using Multiobjective Genetic Optimization

2014 ◽  
Vol 7 (4) ◽  
pp. 60-74
Author(s):  
Márcio De Oliveira Barros ◽  
Hélio Costa ◽  
Fábio Vitorino Figueiredo ◽  
Ana Regina Cavalcanti Rocha
Keyword(s):  
Genetic Algorithm ◽  
Experimental Study ◽  
Portfolio Selection ◽  
Heuristic Search ◽  
Large Scale ◽  
Random Search ◽  
Project Selection ◽  
Project Portfolio ◽  
Selection Technique ◽  
Project Portfolio Selection

This paper proposes a multiobjective heuristic search approach to support a project portfolio selection technique on scenarios with a large number of candidate projects. The original formulation for the technique requires analyzing all combinations of the candidate projects, which turns to be unfeasible when more than a few alternatives are available. We have used a multiobjective genetic algorithm to partially explore the search space of project combinations and select the most effective ones. We present an experimental study based on four real-world project selection problems that compares the results found by the genetic algorithm to those yielded by a non-systematic search procedure (random search). A second experimental study evaluates the best parameter settings to perform the heuristic search. Experimental results show evidence that the project selection technique can be used in large-scale scenarios and that the genetic algorithm presents better results than simpler search strategies.

Genetic algorithm-based multi-criteria project portfolio selection

2010 ◽  
Vol 197 (1) ◽  
pp. 71-86 ◽  
Author(s):  
Lean Yu ◽  
Shouyang Wang ◽  
Fenghua Wen ◽  
Kin Keung Lai
Keyword(s):  
Genetic Algorithm ◽  
Portfolio Selection ◽  
Project Portfolio ◽  
Project Portfolio Selection

Application of the non-outranked sorting genetic algorithm to public project portfolio selection

2013 ◽  
Vol 228 ◽  
pp. 131-149 ◽  
Author(s):  
Eduardo Fernandez ◽  
Edy Lopez ◽  
Gustavo Mazcorro ◽  
Rafael Olmedo ◽  
Carlos A. Coello Coello
Keyword(s):  
Genetic Algorithm ◽  
Portfolio Selection ◽  
Project Portfolio ◽  
Public Project ◽  
Project Portfolio Selection

Human Behavior in Project Portfolio Selection: Insights from an Experimental Study

2018 ◽  
Vol 49 (6) ◽  
pp. 1061-1087 ◽  
Author(s):  
Sebastian Schiffels ◽  
Thomas Fliedner ◽  
Rainer Kolisch
Keyword(s):  
Experimental Study ◽  
Portfolio Selection ◽  
Human Behavior ◽  
Project Portfolio ◽  
Project Portfolio Selection

scholarly journals Project Portfolio Selection Considering Total Cost of Ownership in the Automobile Industry

2019 ◽  
Vol 11 (17) ◽  
pp. 4586 ◽  
Author(s):  
Seunghoon Lee ◽  
Young Hoon Lee ◽  
Yongho Choi
Keyword(s):  
Portfolio Selection ◽  
Automobile Industry ◽  
Project Selection ◽  
Project Portfolio ◽  
Total Cost Of Ownership ◽  
Business Sustainability ◽  
Total Cost ◽  
Project Portfolio Selection ◽  
Cost Of Ownership ◽  
Sales Model

Project portfolio selection for developing a new product is critical to a company because the attributes of the project reflect on the price, quality, and functionality of the developed product. The market evaluates the developed product and the assessment of the product value determines its sale on the market. The project portfolio selection and sales are interconnected from a corporate perspective. The automobile industry is an industry which responds to the issue of business sustainability sensitively because their business directly relates to the environment. In this study, business sustainability was approached through the perspective of total cost of ownership (TCO) embedded into the project selection model after the attributes of the project, investment and efficiency, and the TCO of the product were combined to generate a sales function. The sales and revenue models were proposed, and the validity of the models was confirmed using a case from the automobile industry. As a result of the experiments, the sales model tended to show that the market share increased by selecting the proper number of projects to maximize sales. In contrast, the revenue model showed a tendency to select projects more than the sales model in order to maximize the profits of the company. By suggesting project selection models in a new perspective different from the ones in existing studies, this study is valuable with regard to the fact that the suggested models preserve project interrelationships, TCO, and product sales in a practical manner to enhance business sustainability.

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

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.

Sign in / Sign up

Export Citation Format

Share Document