Author:
Afshar Mohammad Reza,Asadzadeh Zenozi Hamed
Abstract
Purpose
Statistics in the construction industry show that lack of timely injection of funds to projects by clients is one of the common problems confronted by contractors. This problem is intensified when contractors construct multiple projects simultaneously. In these situations, it is rational that contractors share their financial resources among projects according to project conditions and the firm’s vision. This study aims to propose a fuzzy multi-criteria decision making (MCDM) model for financial management in multiple project environments.
Design/methodology/approach
First, the project evaluation criteria are defined using exploratory study and interviews with experts. Second, the weights of criteria are determined based on company strategies. Then, each of the projects are evaluated in each criterion. Finally, the fuzzy weighted average approach is used to determine the proportion of each project from the financial resources.
Findings
The proposed model is prepared as an applicable model for general contractors to assign financial recourses among the multiple projects optimally.
Originality/value
As a lack of applicable model assigning the financial resources among the multiple projects, this study is one of the first research studies that proposed a fuzzy MCDM model to assign financial resources to multiple projects optimally.
Subject
Building and Construction,Architecture,Civil and Structural Engineering,General Computer Science,Control and Systems Engineering
Reference33 articles.
1. Review of finance and investment in disaster resilience in the built environment;International Journal of Strategic Property Management,2016
2. Optimal sub-contractor selection and allocation in a multiple construction project: Project portfolio planning in practice;Journal of the Operational Research Society,2020
3. An interval type-2 fuzzy MCDM model for work package subcontractor prequalification;Soft Computing,2020
4. A mixed integer programming method for multi-project resource leveling;Journal of Construction Engineering, Management and Innovation,2020
5. Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem;Information Sciences,2016
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