Constrained Renewable Resource Allocation in Stochastic Metagraphs

International Journal of Industrial Engineering

© 2017 by SSRG - IJIE Journal

Volume 4 Issue 2

Year of Publication : 2017

Authors : E.Hakimzadeh and S.S.Hashemin

10.14445/23499362/IJIE-V4I4P101

How to Cite?

E.Hakimzadeh and S.S.Hashemin, "Constrained Renewable Resource Allocation in Stochastic Metagraphs," SSRG International Journal of Industrial Engineering, vol. 4,  no. 2, pp. 8-12, 2017. Crossref, https://doi.org/10.14445/23499362/IJIE-V4I4P101

Abstract:

 In this paper, it is supposed that a project can be presented as a Metagraph. In real World’s projects, activity completion time is generally indefinite. No determinism in the activity completion time can be expressed with random variables or fuzzy numbers. Here, it is assumed that the activity implementation times are continuous random variables. Also it is assumed that, one kind of renewable resource is necessary for activity implementation, but the amounts of this resource is definite and limited. In this research, the critical path computations and one of the common criteria of the constrained renewable resource allocation have been generalized. The main aim is reduction of project completion time by suitable scheduling of metagraph activities. Finally, we have estimated the cumulative distribution function of the project completion time. One example has been solved by using the developed method.

Keywords:

 Stochastic Metagraph, Project completion time, Constrained renewable resource allocation, Cumulative distribution function.

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