|
|
| |
| Multi-Criteria Resource Allocation Approach to Artificial Intelligence Projects |
Kizito Paul Mubiru, Senfuka Christopher, Maureen N Ssempijja
|
Abstract:
The allocation of resources to competing project activities poses a critical challenge in project management. In this paper, a multi-criteria goal programming model was developed to determine the combination of time, labor and material resources along with the total amounts of resources required to execute an artificial intelligence project; with special focus on high quality data acquisition, running experiments and implementation into the real world. Using goal programming, the objective function is minimized so that minimum resource requirements are utilized during the stages of project execution. The sum of weighted deviations is minimized from the goal values and the projected completion time of the artificial intelligence project. Resource leveling is achieved by using the simplex method for linear programming; that requires solution of a minimization problem. A numerical example is presented for illustration that determines the allocation of time, labor and material resources to acquire high quality data, run experiments and fully implement the project. The solution provides feasible results; taking into account the contradictory nature of the criteria involved in executing project activities. The multi-criteria goal-based approach to resource allocation is effective as a resource leveling tool for time, labor and material resources for artificial intelligence projects; where completion time and the relevant resource costs can be prioritized if necessary
|
|
|
| | |