Optimizing project selection using tabu search algorithm according to time, cost and quality and resource constraints in the critical chain method

Document Type : Original Article

Authors

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

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

Abstract

Completing the project in the shortest possible time, at the lowest cost, at the highest level of quality, can play a decisive role in profitability and competition. Time, cost and quality are the most important goals of any project, and their optimization is one of the topics in project planning and control. The aim of this study is to find the optimal combination of time, cost and quality in conditions of limited resources. The theory of constraints in project management has led to a new approach to project management and control called the critical chain. In this research, using the critical chain technique and the high ability of the tabu search algorithm (TS) in optimization, the problem of multi-objective optimization of time, cost and quality in conditions of resource constraints has been solved. The proposed algorithm was extracted with MATLAB coding software and the desired results were extracted. To validate the proposed model, two case studies with 7 and 18 activities have been solved. Also, a project with 60 activities in which time, cost and quality optimization was done, was used to validate the proposed algorithm in the research and the results were extracted and compared. The results showed that the tabu search algorithm had a correct and acceptable performance. In such a way that it has the ability to create multiple Pareto answers with different values ​​of the three objective functions of time, cost and quality. This allows project managers to choose the best solution in terms of time, cost and quality according to their needs and policies.

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References

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History

  • Receive Date: 23 February 2021
  • Revise Date: 01 October 2021
  • Accept Date: 24 October 2021

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