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Information Journal Paper

Title

Robust Optimization of Resource-constrained Multi-Project Scheduling Problem with Uncertain Activities Duration

Pages

  291-307

Abstract

Multi-project scheduling problem is one of the most important problems in the project scheduling applications which has attracted considerable attention in the past decades. Due to the importance of resources in the Multi-project scheduling problem, the resource sharing policy is applied in this research. In addition, in each project, the activities durations are subject to the considerable uncertainty. According to the rapid changing of the environment and also the uniqueness of the project, one cannot set the probability distribution for the activity durations with certainty. In addition, the problem in multi-project scale needs more conservative approach while facing with uncertainty. Therefore, the robust optimization approach is applied in this paper in such a way that the maximum total weighted tardiness of the projects would become minimum. The robust resource-constrained Multi-project scheduling problem (RRCMPSP) is investigated in this paper as a two stage models. The scenario relaxation algorithm is applied while resulting the exact solution for the RRCMPSP and tested on the examples produces by the RanGen. So in this paper, one optimal structure containing all of the projects for the multi-project problem is obtained in such a way that the maximum differences between the finish time of projects and their due date would become minimum.

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    APA: Copy

    Nabipoor Afruzi, Elham, & AGHAIE, ABDOLLAH. (2018). Robust Optimization of Resource-constrained Multi-Project Scheduling Problem with Uncertain Activities Duration. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 52(2 ), 291-307. SID. https://sid.ir/paper/166438/en

    Vancouver: Copy

    Nabipoor Afruzi Elham, AGHAIE ABDOLLAH. Robust Optimization of Resource-constrained Multi-Project Scheduling Problem with Uncertain Activities Duration. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2018;52(2 ):291-307. Available from: https://sid.ir/paper/166438/en

    IEEE: Copy

    Elham Nabipoor Afruzi, and ABDOLLAH AGHAIE, “Robust Optimization of Resource-constrained Multi-Project Scheduling Problem with Uncertain Activities Duration,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 52, no. 2 , pp. 291–307, 2018, [Online]. Available: https://sid.ir/paper/166438/en

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