Innovative heuristics modeling for Dynamic Project Time Optimization
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2016, Vol 19, Issue 5
Abstract
Efficient and effective project management significantly improves the bottom line of an organization as well as enhances service level provided to customers. The dynamic nature of time escalations of the various tasks of the project is a serious issue during project execution stage. Efficient project management is a complex process in an effort to execute the project within the schedule provisions. The complexity of the problem 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 to overcome the impasse in maintaining the optimal project performance with respect to time duration.
Authors and Affiliations
Radhakrishnan Perumalsamy Jeyanthi Natarajan
Keywords
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