Compression of the Schedule by Selecting the Optimal Activities in Terms of Cost, Time, Quality and Risk Using TOPSIS Method

Ghorbani, Ali; Ghiasi, Amir

doi:10.22034/cpj.2022.376378.1164

Compression of the Schedule by Selecting the Optimal Activities in Terms of Cost, Time, Quality and Risk Using TOPSIS Method

https://doi.org/10.22034/cpj.2022.376378.1164

Volume 4, Issue 8 - Serial Number 42
November 2022

Pages 11-29

Document Type : Research Article

Authors

Ali Ghorbani ¹

Amir Ghiasi ²

¹ Assistant Professor, Construction Engineering and Management Department, Faculty of Engineering, Payam Noor University, Tehran, Iran

² Master's Student of Engineering and Construction Management, Department of Civil Engineering, Faculty of Engineering, Danesh Alborz Qazvin University, Qazvin, Iran

Abstract

This research aims to provide a model to compress the schedule by selecting the optimal activities in terms of cost, time, quality and risk using TOPSIS method. The current research is applied in terms of results and its results can be used in the direction of developing project management techniques and moving towards the application of engineering techniques in improving the performance of organizations implementing construction and investment projects. A library is divided. The library method was used to collect information related to the subject literature and the background of the research, and the field method was used to collect information to investigate the research objectives. In this research, the data collection tool is a questionnaire. The statistical population of the research for the questionnaire included 5 construction experts from the private sector, among whom the questionnaire was distributed. In an optimization problem with balancing time, cost, quality and risk, the appropriate implementation methods for performing a set of activities of a project from the beginning to the end should be chosen in such a way that the factors of time, cost, quality and risk of the whole project implementation are optimized. In this research, TOPSIS algorithm was used to solve the problem.

Keywords

Schedule compression

Developing

Data collection tool

Optimization

TOPSIS algorithm

20.1001.1.2676511.1401.4.8.1.7

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