Abstract

Resource leveling and resource Allocation are main tasks of project management. The aim of project scheduling is allocating resources to activities while faced on minimizing some economic objectives. In particular, in resource leveling problems the objective is to minimize a function of the resource utilization over time. If there is no restriction on the amount of available resources, raised the issue of resource leveling is required to fluctuations in resource utilization decreases without increasing the project duration. In this paper for managing transportation resource leveling problem, especially when based on multiple objective function of NP-hard problems, has been used Genetic Algorithm. This method is inspired from nature, presented as well as the desired resolution and optimal solutions. The results indicated that the genetic algorithm is able to respond very well at a reasonable offer. DOI: 10.5901/mjss.2016.v7n2s2p116

Highlights

  • Fuzzy logic in project control introduced on beginning of the 70's. [Lachmayer & Afsari, 2012]

  • In project management for plan and project control used specific methods such as PERT, GERT, CPM, and PN [Drótos et al, 2011]. In these methods, where the available resources are limited, the issue of resource allocation arises and it is necessary to such activities are planned in no case be higher than the level to be required

  • Resource leveling has partly due to academic disciplines

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Summary

Introduction

Fuzzy logic in project control introduced on beginning of the 70's. [Lachmayer & Afsari, 2012]. In project management for plan and project control used specific methods such as PERT, GERT, CPM, and PN [Drótos et al, 2011] In these methods, where the available resources are limited, the issue of resource allocation arises and it is necessary to such activities are planned in no case be higher than the level to be required. In such a situation, it may be necessary to time project be longer than the least amount of minimum time [Drótos et al, 2011, and Lachmayer & Afsari,. The inability to use of science to be irreversible impact on the competitive position of companies

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