Title of article
A MULTI-OBJECTIVE OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION CONSIDERING AGGREGATE COMPLEXITY: A CASE STUDY
Author/Authors
Iranmanesh, S.H School of Industrial Engineering - College of Engineering - University of Tehran, Tehran , Shakhsi-Niaei, M Department of Industrial Engineering - College of Engineering - Yazd University, Yazd , Rastegar, H School of Industrial Engineering - College of Engineering - University of Tehran, Tehran
Pages
21
From page
291
To page
311
Abstract
Existing project selection models do not consider the complexity of projects as a selection
criterion, while their complexity may prolong the project duration and even result in its
failure. In addition, existing models cannot formulate the aggregate complexity of the
selected projects. The aggregated complexity is not always equal to summation of
complexity of projects because of possible synergies or conflicts between them may increase
or decrease the total complexity. In this paper, a model is proposed for measuring the
aggregate complexity in the selection of project portfolios. A case study is presented to show
the usefulness of the model and its applicability in practice. Moreover, several large-sized
numerical examples have been tested showing the capability of the model to solve such
problems in logical computational time.
Keywords
project management , mathematical programming , project selection , complexity , synergies , conflicts
Journal title
Astroparticle Physics
Serial Year
2019
Record number
2491092
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