系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2013年
8期
1965~1974
,共null页
孔继利 贾国柱 栾世超 司晓玲
孔繼利 賈國柱 欒世超 司曉玲
공계리 가국주 란세초 사효령
学习率 搬运时间 人工作业系统 批量加工模式 生产周期 全局优化算法
學習率 搬運時間 人工作業繫統 批量加工模式 生產週期 全跼優化算法
학습솔 반운시간 인공작업계통 비량가공모식 생산주기 전국우화산법
learning rate; handling time; manual operating system; batches processing modes; productioncycle; global optimization algorithm
在考虑员工学习率和相邻工序间搬运时间的基础上,对人工作业系统的批量加工模式进行研究.以严格理论证明的方式给出小组作业模式和生产线作业模式的批量零件生产周期公式;在给定算例的情况下,得出与传统模型不同的结果:小组作业模式具有最短的生产周期.建立各道工艺工序和运输工序加工与搬运时间模型,分析搬运设备每次搬运的零件数量,并设计运输工序所需搬运设备数量的全局优化算法.决策者利用时间模型和搬运设备每次搬运零件数量的信息,可以有效安排某批零件的加工与搬运任务;利用运输工序所需搬运设备数量的全局优化算法可求解运输工序所需搬运设备的最小数量,并可明确搬运设备的投入时间.
在攷慮員工學習率和相鄰工序間搬運時間的基礎上,對人工作業繫統的批量加工模式進行研究.以嚴格理論證明的方式給齣小組作業模式和生產線作業模式的批量零件生產週期公式;在給定算例的情況下,得齣與傳統模型不同的結果:小組作業模式具有最短的生產週期.建立各道工藝工序和運輸工序加工與搬運時間模型,分析搬運設備每次搬運的零件數量,併設計運輸工序所需搬運設備數量的全跼優化算法.決策者利用時間模型和搬運設備每次搬運零件數量的信息,可以有效安排某批零件的加工與搬運任務;利用運輸工序所需搬運設備數量的全跼優化算法可求解運輸工序所需搬運設備的最小數量,併可明確搬運設備的投入時間.
재고필원공학습솔화상린공서간반운시간적기출상,대인공작업계통적비량가공모식진행연구.이엄격이론증명적방식급출소조작업모식화생산선작업모식적비량령건생산주기공식;재급정산례적정황하,득출여전통모형불동적결과:소조작업모식구유최단적생산주기.건립각도공예공서화운수공서가공여반운시간모형,분석반운설비매차반운적령건수량,병설계운수공서소수반운설비수량적전국우화산법.결책자이용시간모형화반운설비매차반운령건수량적신식,가이유효안배모비령건적가공여반운임무;이용운수공서소수반운설비수량적전국우화산법가구해운수공서소수반운설비적최소수량,병가명학반운설비적투입시간.
On the basis of considering the employee learning rate and handling time in-between processes, this paper researches batches processing modes for manual operating system. We give three formulae about production cycle of a batch of parts for the group-processing mode and production-line modes with method of strict theoretical proof. In the given example case, we analyze and compare the three operation modes, and have got the results that the group-processing mode has the shortest production cycle. Meanwhile, we establish the time model of the processing and handling about each production process and transport process, analyze the number of parts for each handling process, and design a global optimization algorithm about the number of handling equipment for the transport process. The decision-makers can effectively arrange processing and handling tasks of a batch of parts by using the information which can be got from the time model and the number of handling equipment and solve the minimum quantity of the handling equipment by the global optimization algorithm which is firstly introduced in the paper.