scholarly journals Project portfolio selection based on multi-project synergy

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Zonghan Wang ◽  
Moses Olabhele Esangbedo ◽  
Sijun Bai
Keyword(s):  
Decision Making ◽  
Portfolio Selection ◽  
Technology Diffusion ◽  
Strategic Alignment ◽  
Design Structure Matrix ◽  
Project Portfolio ◽  
Design Structure ◽  
Portfolio Selection Model ◽  
Selection Of ◽  
Project Synergy

<p style='text-indent:20px;'>To date, the selection of a project portfolio that maximises the decision-making outcome remains essential. However, existing research on project synergy has mainly focused on two projects, while there are multiple projects in some cases. Two kinds of synergies among multiple projects are proposed. First, multiple projects must be selected together, in order to produce synergy. Second, some projects depend on synergy with other projects, leading to a synergetic increase in performance. Furthermore, we present strategic synergy, with benefits, resources, and technology, which is quantified for a procurement project concerning a COVID-19 pandemic recovery plan. A design structure matrix is used to describe the technology diffusion among the projects. Then, strategic alignment is utilised to measure the strategic contribution of projects. Next, a portfolio selection model considering uncertainty is established, based on the strategic utility. Finally, our results indicate that selecting projects considering multi-project synergy is more advantageous.</p>

scholarly journals Application of Interaction Effect Multichoice Goal Programming in Project Portfolio Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Su-Lan Zhai ◽  
Xiao-Lan Wu ◽  
Sheng-Yuan Wang ◽  
Tong Zhao
Keyword(s):  
Portfolio Selection ◽  
Goal Programming ◽  
Interaction Effect ◽  
Complex Interaction ◽  
Portfolio Analysis ◽  
Project Portfolio ◽  
Effect Analysis ◽  
Portfolio Evaluation ◽  
Survival And Development ◽  
Selection Of

How to choose the optimal project portfolio based on the enterprise objectives is very important for the survival and development of an enterprise. However, the current portfolio analysis needs to be improved in the aspects of interaction effect analysis, multichoice target planning, and method simplicity and practicability. The method of portfolio selection proposed in this study takes into consideration the complex interaction within the portfolio, which makes up for the deficiency of the existing research on portfolio selection. This paper illustrates the application of the multichoice object programming method in the analysis of the combination of two-project and three-project interaction effects by a series of examples. The results show that the method is applicable in portfolio evaluation. The method of multichoice goal programming of the interaction effect provides the basis for enterprise to measure the complex relationship within the portfolio and also provides a new method and idea for the selection of the enterprise project portfolio.

scholarly journals A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products

2017 ◽  
Vol 9 (8) ◽  
pp. 1302 ◽  
Author(s):  
Animesh Debnath ◽  
Jagannath Roy ◽  
Samarjit Kar ◽  
Edmundas Zavadskas ◽  
Jurgita Antucheviciene
Keyword(s):  
Portfolio Selection ◽  
Project Portfolio ◽  
Project Portfolio Selection ◽  
Strategic Project ◽  
By Products ◽  
Selection Of

scholarly journals A project portfolio selection problem in a group decision-making context

2012 ◽  
Vol 8 (1) ◽  
pp. 243-261 ◽  
Author(s):  
Ana F. Carazo ◽  
◽  
Ignacio Contreras ◽  
Trinidad Gómez ◽  
Fátima Pérez ◽  
...  
Keyword(s):  
Decision Making ◽  
Portfolio Selection ◽  
Group Decision Making ◽  
Group Decision ◽  
Selection Problem ◽  
Project Portfolio ◽  
Portfolio Selection Problem ◽  
Project Portfolio Selection

A Method for Evaluating Maintenance Capabilities in a Developing Community Using a Multiple DSM Framework

2018 ◽  
Author(s):  
Ammar Nik Mutasim ◽  
Dillan Sayers ◽  
Felipe M. Pasquali ◽  
John F. Hall
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Rural Communities ◽  
New Technology ◽  
Standard Of Living ◽  
Design Structure Matrix ◽  
Decision Making Process ◽  
Design Structure ◽  
System Requirements

Introducing new technology to an inexpert society can be challenging. Rural communities are often deprived of technology that promotes a higher standard of living. Today there are sustainable energy solutions that, if correctly implemented, could close this gap. The literature indicates that a large number of humanitarian and relief projects failed because the communities were not able to perform the equipment maintenance. This work proposes a method for identifying the capability of a region to perform the necessary maintenance of a new technology. The method works by measuring both the system requirements and region abilities and resources. The proposed technique is devised with a design structure matrix in which each subsystem maintainability is analyzed. The resulting framework generates a comparative analysis that contributes to the decision making process. A case study is performed to evaluate the model on selecting an energy solution for a given community. The results provide designers a better understanding on the dependence of each component maintainability. Furthermore, it provides insights on the effect of region abilities and resources in the maintainability of a system.

scholarly journals A Novel Framework for Portfolio Selection Model Using Modified ANFIS and Fuzzy Sets

Computers ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 57 ◽  
Author(s):  
Chanchal Kumar ◽  
Mohammad Najmud Doja
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Portfolio Selection ◽  
Layered Structure ◽  
Value At Risk ◽  
Conditional Value At Risk ◽  
Variance Model ◽  
Portfolio Selection Model ◽  
Mean Variance ◽  
Existing Structure

This paper proposes a novel framework for solving the portfolio selection problem. This framework is excogitated using two newly parameters obtained from an existing basic mean variance model. The scheme can prove entirely advantageous for decision-making while using computed values of these significant parameters. The framework combines effectiveness of the mean-variance model and another significant parameter called Conditional-Value-at-Risk (CVaR). It focuses on extracting two newly parameters viz. αnew and βnew, which are demarcated from results obtained from mean-variance model and the value of CVaR. The method intends to minimize the overall cost, which is computed in the framework using quadratic equations involving these newly parameters. The new structure of ANFIS is designed by changing existing structure of ANFIS and this new structure contains six layers instead of existing five-layered structure. Fuzzy sets are harnessed for the design of the second layer of this new ANFIS structure. The output parameter acquired from the sixth layer of the new ANFIS structure serves as an important index for an investor in the decision-making. The numerical results acquired from the framework and the new six-layered structure is presented and these results are assimilated and compared with the results of the existing ANFIS structure.

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