Abstract
The National Iranian Gas Company (NIGC) is one of the top ten gas companies in the gas industry in the Middle East and is comprised of 7 gas refineries. So this company needs to apply the most optimum time management methods to achieve its goals. Custom scheduling calculation of project planning uses the Critical Path Method (CPM) as a tool for Planning Projects activities. CPM is now widely used in planning and managing projects but in spite of its wide application, this method has a critical weak point of not taking into account the uncertainties in scheduling calculation. This article aims to present a precise method based on the application of Fuzzy Expert Systems in order to improve the Time Estimation Method in construction projects and in this regard, reviews the results of the implementation of this method in construction projects of Iranian Gas Refineries. The results show that the proposed method increases the accuracy of time estimation about 7 to 22 percent.
Highlights
Time management can be effective in a project when the project schedule is based on reasonable and comprehensive time estimation
This article presents a method for implementing an extended method of Critical Path Method (CPM) based on the application of fuzzy expert systems (FCPM) to manage schedule uncertainties in Iranian gas refinery projects
This study investigated a new method for precise time estimation in construction projects of the Iranian Gas Refineries
Summary
Time management can be effective in a project when the project schedule is based on reasonable and comprehensive time estimation. In industries with complex processes such as gas refineries, considering limitations and risks involved in the project implementation and many uncertainties that affect the project activities, the importance of the time management is great. Considering the very low reliability of planning with certainty and project control by this approach, using more secure methods for control and interaction with uncertainty is to be placed on the agenda. This article presents a method for implementing an extended method of CPM based on the application of fuzzy expert systems (FCPM) to manage schedule uncertainties in Iranian gas refinery projects. The concept of FCPM is explained by a real and applicable example and the proposed model and the method of its implementation in projects will be described
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