Dynamic MAX&MIN Alebra on Discrete Production Scheduling
The approach to job-shop in dynamic production as the research object is to establish the scheduling steps while new jobs enter original plan implementing and to sum up basic norms of state changes of discrete production. The production sequence is decided according to process routing and optimal valuation index during scheduling position and stage. After scheduling, state variables at the moment are regenerated following the real procedure, the states of operation completed are redefined as +x, other states of operations keep their original states scheduled. The processing time of the operations completed is renewed as zero. The new process routing matrix, processing time matrix are added to old corresponding matrixes. The remaining jobs and new jobs are re-scheduled together. New parameter matrixes are generated according to the 5 kinds of rules of state equation, and the scheduling is completed ultimately for better plan. The calculating procedure and excellent efficacy are demonstrated by an example.
DEDS dynamic max&min algebra production scheduling Simulation modeling
Chen Jin Wang Rong
School of Mechanical Engineering Jiangnan University Wuxi, China
国际会议
太原
英文
61-64
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）