Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2008.836.841Syung LanTian-Yao LoChih-I HouCheng-5200885Through the proposed model in this study, the production
control with the consideration of workforce scheduling for advanced manufacturing
systems becomes realistically and concretely solvable. This study not
only meditates the concept of balancing machine productivity and human
ability into the objective, but also implements Calculus of Variations
to optimize the profit for a deterministic production quantity. In addition,
the optimum solutions of dynamic productivity control and workforce scheduling
are comprehensively provided. Moreover, the decision criteria for selecting
the optimum solution and the sensitivity analysis of the critical variables
are fully discussed. This study definitely contributes the applicable
strategy to control the productivity and workforce in manufacturing and
provides the valuable tool to conclusively optimize the profit of a machining
project for operations research in today`s manufacturing industry with
profound insight.]]>Abbound, N., M. Inuiguchi, M. Sakawa and Y. Uemura, 1998Balazinski, M., V. Songmene and L. Kops,1995Bazaraa, M., J. Jarvis and H. Sherali, 1990Chen, M.S. and C.H. Lan, 2001Chiang, A.C.,1992Grabot, B. and A. Letouzey, 2000Hasgul, S., 2005Kalir, A. and Y. Arzi,1998Kamien, M.I. and N.L. Schwartz,1991Kim, S. and S.M. Moon,2007Konno, T. and H. Ishii,1995Lan, T.S. and C.H. Lan,2000Qiu, J., H. Yang and J. Zhang,2007Soroush, H.,1999Wang, J. and P.B. Luh,1996Wang, X., H. Gao and J. Zeng,2007Xiaobo, Z. and K. Ohno,1997Yong, Y. and L. Yong-Quan,2007