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Resource Allocation in Multi-project Scheduling with Resource Transfer Time and Cost

Panahi, Yousef | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50459 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Shadrokh, Shahram
  7. Abstract:
  8. The project scheduling problem is one of the classic problems in project management that includes a range of optimization problems. One of the limitations we face in project scheduling problem is the resource constraint limitation. In many studies in the literature review, problems are based on the false assumption that a resource can be transferred between activities of a project or different projects without spending time and cost. The resource availability method in many fundamental researches in the context of resource constrained project scheduling problem (RCPSP) is considered as resource investment problems (RIP); while in many real world projects resources are rented for projects and the time to use resources will impact on the final cost of the projects. In this thesis, we present a mathematical model for scheduling a resource constrained multi-project scheduling problem, taking into account time and cost of resource transfers (RCMPSPTT). Resources’ provision method for activities is considered to be rented. The proposed model is a complex model (NP-hard) and its exact solution is possible only in small size problems. For solving the problem, two meta heuristic algorithms, Genetic algorithm and harmony search Algorithm are proposed and their performance is compared. According to the results, both of algorithms could achieve acceptable performance. HS Algorithm represented better results in small size problems compared to Genetic Algorithm. As the problem size increased, GA reached better results and HS performance decreased
  9. Keywords:
  10. Harmony Search Algorithm ; Genetic Algorithm ; Resource Renting ; Resource Constraint ; Multi-Project Planning ; Resource Constrained Project Scheduling ; Resource Transfer Time ; Resource Transfer Cost

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