Simulation Based Resource Capacity Planning with Constraints
Robert Ojsteršek, Borut Buchmeister
Abstract
The research work represents the development of a new decision-making model intended for the resource capacity planning depending on the production system constraints. A mathematical decision model for medium and short-term (dynamic) workers allocation was developed. A simulation study of the dynamic events and the response of the decision-making algorithm to achieve the optimal workers allocation was conducted. The results show that the resource capacity planning has a high importance as the constraints faced by workers in production systems become more severe. The results demonstrate the high ability to terminate production capacity while ensuring smooth, efficient operation of the production system. Presented method can be used in everyday workers allocation in different types of production systems.