In the process of effective and optimized planning and control, in order to manage the project, it is necessary to consider all the project aspects. Common techniques of project scheduling and control such as CPM and PERT assume unlimited resource availability in project network analysis Developed networks due to theory derived of this techniques are networks that deal with time optimization of the activities. Consequently in this schedule and control methods, it is possible that during the project performance in some time periods, requirement to one or more resources is higher than the availability level or include more resource fluctuations. It can finally convert the project into an uneconomical project by a negative time and cost trade off or cause considerable deliveries in project performance time. This paper presents a technical method for controlling and optimizing resource allocation to project activities This technique as an extension to the basic CPM and PERT approach presents a simple method for controlling the project schedule of resource allocation by considering their constraints and causes the optimized and efficient distribution of tasks to project levels Finally by avoiding the simultaneous unnecessary use of several activates of a critical resource and by generating efficient levels of resource availability, it optimizes the project approaches.
Naderpour, , & Mofid, (2009). OPTIMIZING THE RESOURCE ALLOCATION OF PROJECT ACTIVITIES USING CRD METHOD. Journal of Modeling in Engineering, 7(19), 37-46. doi: 10.22075/jme.2017.1545
MLA
Naderpour; Mofid. "OPTIMIZING THE RESOURCE ALLOCATION OF PROJECT ACTIVITIES USING CRD METHOD", Journal of Modeling in Engineering, 7, 19, 2009, 37-46. doi: 10.22075/jme.2017.1545
HARVARD
Naderpour, , Mofid, (2009). 'OPTIMIZING THE RESOURCE ALLOCATION OF PROJECT ACTIVITIES USING CRD METHOD', Journal of Modeling in Engineering, 7(19), pp. 37-46. doi: 10.22075/jme.2017.1545
VANCOUVER
Naderpour, , Mofid, OPTIMIZING THE RESOURCE ALLOCATION OF PROJECT ACTIVITIES USING CRD METHOD. Journal of Modeling in Engineering, 2009; 7(19): 37-46. doi: 10.22075/jme.2017.1545
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