Innovative heuristics modeling for dynamic project cost control

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Smart project management greatly improves the bottom line of the projects towards organization’s competitive edge. The dynamic nature of cost escalations of the various tasks of the project is a serious issue during project execution stage. Efficient project management is a complex process with an effort to execute the project within the budget provisions. The complexity increases when more number of tasks and longer duration of the project are involved. In this paper, a Particle Swarm optimization methodology is proposed and implemented to generate essential predictive analytics in maintaining optimal project cost performance.

     

     


     


  • Keywords


    Project Management; Cost Optimization; Performance Modelling; Particle Swarm Optimization (PSO).

  • References


      [1] Sarmiento, A. Rabelo, L. Lakkoju, R. Moraga, R, "Stability analysis of the supply chain by using neural networks and genetic algorithms”, Proceedings of the winter Simulation Conference, (2007), pp: 1968-1976. https://doi.org/10.1109/WSC.2007.4419826.

      [2] Mileff, Peter, Nehez, Karoly, "A new inventory control method for supply chain management”, Proceedings of 12th International Conference on Machine Design and Production, (2006).

      [3] Joines J.A., & Thoney, K, Kay M.G, “Supply chain multi-objective simulation optimization", Proceedings of the 4th International Industrial Simulation Conference., Palermo, (2008), pp. 125- 132.

      [4] Paley, A. I. (1993), "Value Engineering and Project management achieving cost optimization," AMA Handbook of Project management, New York: AMACOM.

      [5] Anbari F.T, "Earned Value Project management method and extensions ", Project Management Journal, Vol.34, No.: 4, (2003), pp. 12-23. https://doi.org/10.1177/875697280303400403.

      [6] H. Lu, (2003), "Dynamic Population Strategy Assisted Particle Swarm Optimization in Multi objective Evolutionary Algorithm design," IEEE Neural Network Society, IEEE NNS Student Research Grants 2002, Final reports.

      [7] Meredith Jack R., Mantel, Samuel J., and Shafer Scott M., Project Management – A Managerial Approach, John Wiley & Sons, NJ, (2016), pp: 372-377.


 

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Article ID: 13066
 
DOI: 10.14419/ijet.v7i4.13066




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