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Proposing a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) Model to Optimize Manpower and Project Delivery Time (A Case Study)

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Digital Conversion on the Way to Industry 4.0 (ISPR 2020)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

In this paper, a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) mathematical model is proposed to schedule a production project by considering uncertainty of time parameter for each activity. At last to evaluate the validity of the model, the mathematical model is implemented in a production factory and the results have been evaluated. In addition, some analyses are implemented to assess the behavior of the model and extract managerial insights.

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References

  1. Tirkolaee, E.B., Goli, A., Hematian, M., Sangaiah, A.K., Han, T.: Multi-objective multi-mode resource constrained project scheduling problem using Pareto-based algorithms. Computing 101(6), 547–570 (2019)

    Article  MathSciNet  Google Scholar 

  2. Pellerin, R., Perrier, N., Berthaut, F.: A survey of hybrid metaheuristics for the resource-constrained project scheduling problem. Eur. J. Oper. Res. 280(2), 395–416 (2020)

    Article  MathSciNet  Google Scholar 

  3. Lin, J., Zhu, L., Gao, K.: A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Expert Syst. Appl. 140, 112915 (2020)

    Article  Google Scholar 

  4. Ma, W., Che, Y., Huang, H., Ke, H.: Resource-constrained project scheduling problem with uncertain durations and renewable resources. Int. J. Mach. Learn. Cybernet. 7(4), 613–621 (2015). https://doi.org/10.1007/s13042-015-0444-4

    Article  Google Scholar 

  5. Birjandi, A., Mousavi, S.M.: Fuzzy resource-constrained project scheduling with multiple routes: a heuristic solution. Autom. Constr. 100, 84–102 (2019)

    Article  Google Scholar 

  6. Torabi, S.A., Hassini, E.: An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets Syst. 159(2), 193–214 (2008)

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Arman Saeidi, Kamran Rezaie, Alireza Nazari & Amir Hossein Ordibazar

Authors
  1. Arman Saeidi
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  2. Kamran Rezaie
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  3. Alireza Nazari
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  4. Amir Hossein Ordibazar
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Corresponding author

Correspondence to Arman Saeidi .

Editor information

Editors and Affiliations

  1. Research Group for Production Metrology and Adaptronic Systems, TU Wien (Vienna University of Technology), Vienna, Wien, Austria

    Numan M. Durakbasa

  2. Faculty of Engineering, Industrial Engineering Department, İstanbul Aydın University, İstanbul, Turkey

    M. Güneş Gençyılmaz

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Saeidi, A., Rezaie, K., Nazari, A., Ordibazar, A.H. (2021). Proposing a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) Model to Optimize Manpower and Project Delivery Time (A Case Study). In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digital Conversion on the Way to Industry 4.0. ISPR 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-62784-3_40

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  • DOI: https://doi.org/10.1007/978-3-030-62784-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62783-6

  • Online ISBN: 978-3-030-62784-3

  • eBook Packages: EngineeringEngineering (R0)

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