PROGRAMA MATEMATIS PENYELESAIAN MASALAH PROJECT CRASHING
Abstract
The determination of project accomplishment time is tedious and time consuming. This problem is aggravated in a project with a plenty of activities exhibiting intricate interdependency among activities. The determination of project completion time, in general, is done manually using methods such as CPM or PERT. In case where the project is to be completed
earlier than scheduled, the determination of activities, which are capable to be
crashed, entails a new problem in a project management. A mathematical model is here proposed to solve the problem in a faster and a more accurate way. The solution could be obtained easier with the advantage of having the ability to specify optimally the activities that could be compressed to complete the project in a scheduled time with a minimum cost. The model is then applied
in a project of ship maintenance with a procurement of normal and crash data
time and cost. The solution of the model indicates which activities, and time
requirement, could be compressed in order to complete the project in a
scheduled time with a minimum cost. The model could be naturally applied to
various projects.
earlier than scheduled, the determination of activities, which are capable to be
crashed, entails a new problem in a project management. A mathematical model is here proposed to solve the problem in a faster and a more accurate way. The solution could be obtained easier with the advantage of having the ability to specify optimally the activities that could be compressed to complete the project in a scheduled time with a minimum cost. The model is then applied
in a project of ship maintenance with a procurement of normal and crash data
time and cost. The solution of the model indicates which activities, and time
requirement, could be compressed in order to complete the project in a
scheduled time with a minimum cost. The model could be naturally applied to
various projects.
Keywords
Optimization, Project Crashing, Mathematical Programming
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DOI: http://dx.doi.org/10.12962/j24609463.v2i1.2813
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