Implementing the critical chain method for managing linear-repetitive projects such as road construction, taking into account the conditions of uncertainty and risk

Nowadays traditional point of view is not able to meet the needs of construction project management. Therefore, the use of modern management approaches can be greatly helpful. The first step to reach this goal is to identify and verification variety of projects in terms of linear or network types, t...

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Autores principales: Mohammad Javad Taheri Amiri, farshidreza haghighi, Ehsan Eshtehardian, Milad Hemmatian, maedeh javaheri barforooshi
Formato: article
Lenguaje:FA
Publicado: Iranian Society of Structrual Engineering (ISSE) 2020
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Acceso en línea:https://doaj.org/article/abaa423557a94719b453ca7181ee3eee
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Sumario:Nowadays traditional point of view is not able to meet the needs of construction project management. Therefore, the use of modern management approaches can be greatly helpful. The first step to reach this goal is to identify and verification variety of projects in terms of linear or network types, the difference in project and multi-project management, management and execute methods. In this research, critical chain management method is used instead of critical path method to provide more practical schedule. The proposed method solves a scheduling problem with time/resource tradeoff to provide a minimum-makespan deterministic schedule which will generally be a good starting point for project execution. Also to overcome the risk in the case, schedulers have a medium risk coefficient based on cognitive style. Anyway, the change of parameter β will give a little change in project duration. The proposed method is useful for both project planning and execution. The methods is simple, practical and can be easily computerized. It should be noted that although the advances in the field of computers and computing speed and information processing it is done, we still need to project manager and human using engineering vision, experience and knowledge can choose the best algorithm for each project to be felt.