GA Based Algorithm for Staff Scheduling Considering Learning-forgetting Effect
Learning-forgetting effect reflects productivity changes related to the increment of experience cumulated by previous production volume, which is a critical issue for production efficiency analysis. This paper proposes a GA based staff scheduling methodology for solving personnel efficiency problem caused by learningforgetting effect, aiming at obtaining scheduling solution in both parallel and serial systems. Individual capability is modeled considering his/her initial and maximum capabilities, as well as learning/forgetting rates on corresponding tasks. Two experiments are designed in scenarios for parallel and serial production lines and strategies of staff scheduling are generated considering learning-forgetting phenomenon. Simulation results illustrate the effectiveness of the proposed methodology.
Ji-hong YAN Zi-mo WANG
Department of Industrial Engineering, Harbin Institute of Technology, Harbin, China
国际会议
长春
英文
122-126
2011-09-03（万方平台首次上网日期，不代表论文的发表时间）