运筹与管理
運籌與管理
운주여관리
OPERATIONS RESEARCH AND MANAGEMENT SCIENCE
2014年
1期
226-233
,共8页
于秀丽%张毕西%李逸帆%李弘
于秀麗%張畢西%李逸帆%李弘
우수려%장필서%리일범%리홍
订单式生产%人工作业系统%学习效应%员工指派
訂單式生產%人工作業繫統%學習效應%員工指派
정단식생산%인공작업계통%학습효응%원공지파
MTO%MOS%learning effect%workers’ assignment
订单式生产( MTO)人工作业系统( MOS)是我国中小制造企业广泛采用的生产系统模式。在MTO/MOS中,一线员工生产技能对生产绩效具有直接的影响。随着重复操作次数的增多,员工的生产效率不断提高,即产生学习效应。本文考虑员工学习效应来优化一线员工的配置,强调员工初始技能和学习能力的个体差异对完工期的影响,以期缩小理论研究与生产实践之间的差距。本文首先提出一个基于员工初始技能、员工的学习能力、工艺难度和订单批量的员工技能动态变化函数。然后,以最小化完工期为目标,建立一个优化模型。由于员工指派问题属于“完全NP-Hard”问题,为了求解本文所提出模型,本文提出Bootstrap方法对问题进行求解。最后,基于一个算例分析,验证该模型及算法的有效性。
訂單式生產( MTO)人工作業繫統( MOS)是我國中小製造企業廣汎採用的生產繫統模式。在MTO/MOS中,一線員工生產技能對生產績效具有直接的影響。隨著重複操作次數的增多,員工的生產效率不斷提高,即產生學習效應。本文攷慮員工學習效應來優化一線員工的配置,彊調員工初始技能和學習能力的箇體差異對完工期的影響,以期縮小理論研究與生產實踐之間的差距。本文首先提齣一箇基于員工初始技能、員工的學習能力、工藝難度和訂單批量的員工技能動態變化函數。然後,以最小化完工期為目標,建立一箇優化模型。由于員工指派問題屬于“完全NP-Hard”問題,為瞭求解本文所提齣模型,本文提齣Bootstrap方法對問題進行求解。最後,基于一箇算例分析,驗證該模型及算法的有效性。
정단식생산( MTO)인공작업계통( MOS)시아국중소제조기업엄범채용적생산계통모식。재MTO/MOS중,일선원공생산기능대생산적효구유직접적영향。수착중복조작차수적증다,원공적생산효솔불단제고,즉산생학습효응。본문고필원공학습효응래우화일선원공적배치,강조원공초시기능화학습능력적개체차이대완공기적영향,이기축소이론연구여생산실천지간적차거。본문수선제출일개기우원공초시기능、원공적학습능력、공예난도화정단비량적원공기능동태변화함수。연후,이최소화완공기위목표,건립일개우화모형。유우원공지파문제속우“완전NP-Hard”문제,위료구해본문소제출모형,본문제출Bootstrap방법대문제진행구해。최후,기우일개산례분석,험증해모형급산법적유효성。
MTO( Make-To-Order) and MOS( Manual Operation System ) is the general production system model of the small and medium manufacturing enterprises .The worker ’ skills have an important influence on the perform-ance in such a system .With the growing in times of repetition , learning effect happens and workers ’ efficiencies continuously improve .We propose an optimization model of the front-line workers ’ Assignment considering learning effect , paying full attention to the individual difference in order to narrowing the gap between theory re-searches and production practices .Taking the lead time as the objective function , the model is based on work-ers’ previous experience, learning ability, technology difficulty and batch size .Due to workers’ assignment is NP complete problem , the Bootstrap approach to solve the problem is proposed .A case study indicates that the proposed model can provide a promising worker assignment approach and the proposed algorithm is effective for combinational optimization problem .