Hybrid model of critical chain method and selection algorithm based on Pareto pattern for project selection

Articles in Press

Document Type : Original Article

Authors

1 Associate Professor, Faculty of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran

2 Department of Industrial Engineering - Faculty of Engineering -University of Sistan and Baluchestan - Zahedan - Iran

10.22065/jsce.2024.426854.3283

Abstract

A project is a set of activities that are carried out to achieve a specific goal and must be completed in a specified time, with an estimated cost and a specified quality. The problem of choosing a project among several projects under the conditions of resource limitations is considered a very important problem in the field of project management. Critical chain is one of the new methods used in project planning, which has attracted the attention of many researchers. In the present study, the problem of selecting a project from among several projects has been modeled by considering the goals of completing the project in the least time and cost and at the highest level of quality using the critical chain approach. The proposed model has been implemented for three projects of different sizes using the critical chain technique and PESA-II meta-heuristic algorithm. The results showed that the PESA-II algorithm performed well and in terms of the objective function of time, cost and quality of the solutions of the PESA-II algorithm is superior to other algorithms and therefore it can be concluded that the PESA-II algorithm produces solutions with better Pareto values. In three objective functions, time, cost and quality are compared to other algorithms. Considering that the obtained results include a combination of the values of the three objective functions of time, cost and quality, this enables the project managers to choose the most optimal combination in terms of time, cost and quality according to their needs and policies.

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Main Subjects

Journal of Structural and Construction Engineering

Articles in Press, Accepted Manuscript
Available Online from 18 January 2024

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History

  • Receive Date: 25 November 2023
  • Revise Date: 30 April 2024
  • Accept Date: 18 January 2024

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