Research on Human Resource Strategy under Customer Demand Using System Dynamics for the Thin Film Sputtering Target Material Industry

Abstract

This study integrates the forecast capacity and superiority of dynamic simulation of back-propagation network (BPN) and system dynamics, thereby enabling the target industries to formulate coping strategies and to make adjustment in both production capabilities and manpower. The main purpose of this study is to assess and confirm what the most effective policy is for production and human resources. The forecasting result of this study indicates that Correlation and R-squared values reach 0.99852 and 0.994961 respectively after a training of BPN. Certainly, BPN serves as an effective method of forecasting target sales. Finally, the forecast value of the next three years is worked out through situational simulation of complex production models in system dynamics. The final result of this study shows that the optimum manpower should be 10 workers for the years 2011-2013, as well as the projected result will be a rise in production yield of up to 2.54%. It is the most profitable scenario for the company.