Open AccessModeling projects interdependencies to measure their synergic impacts on a project portfolio
Author(s) -
Mohammad Mahdi Nabati,
Maryam Ashrafi
Publication year - 2021
Publication title -
journal of project management
Language(s) - English
Resource type - Journals
eISSN - 2371-8374
pISSN - 2371-8366
DOI - 10.5267/j.jpm.2021.2.003
Subject(s) - interdependence , portfolio , project portfolio management , measure (data warehouse) , selection (genetic algorithm) , computer science , process (computing) , set (abstract data type) , application portfolio management , operations research , management science , project management , risk analysis (engineering) , systems engineering , business , engineering , data mining , machine learning , finance , political science , law , programming language , operating system
One of the most critical factors used to evaluate the efficiency of the portfolio selection process is the ability of the model to measure interdependencies among projects. Varieties of interactions among projects lead to several kinds of synergies in the whole portfolio, such as re-sources and knowledge interdependencies. There are few studies focused on project portfolio selection accompanied by modeling and estimating the impact of synergies between projects. Hence, this paper presents a model to select the best project portfolio applying a particular model to measure the effects of several types of interdependencies between paired projects. Then, the Promethee II method is used to prioritize projects. Then, the portfolio selection model, which is a non-linear integer model, is solved to find the best set of projects. Finally, numerical examples are addressed to illustrate the method results and validity.