A study on the quantitative method for choosing an appropriate skill developing strategy (A simulation based manufacturing process redesign for skill developing)

Abstract

Planning human resource procurement, as well as planning cost, quality and capacity of production, is one of the crucial issues for enterprises in order to achieve the target sales and profit. For the planning, two issues should be addressed. First is how to transfer the necessary skills and knowledge, which is in the educational perspective and many studies and methodologies have been achieved in respect to the issue. Second is how to change the production processes where the human resources are allocated considering the effect of the design on the production capacity, cost and quality of the target processes along the human resource procurement schedule, which is in the management perspective. This paper focuses on the second issue. For instance, procuring and training many resources can minimized the human resource procurement schedule. It, however, might increase the quality and cost risks of the target production processes. Contrarily, gradually procuring and training human resources might reduces the quality and cost risks. It, however, increases the procurement schedule and risks of the opportunity loss. The strategies for procuring the necessary human resources are varied by the requirements to the management based on the enterprise strategy and surrounding market demands. In this paper, we applied the simulation based process evaluation methodology for quantitatively choosing the human resource procurement strategy appropriate to the management requirements. Firstly, we predicted the process performances in respect to the available human resources with our developing simulation tool. Secondary, we estimated the changes of process performances along the various human procurement strategies. Finally, we demonstrated how to choose a human resource procurement strategy appropriate to the management requirements.

Keywords

• human resource procurement strategy
• management perspective
• process changes
• process performances
• simulation based prediction
• quantitatively choosing