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單元製造系統之人力配置策略研究 / A Study of Operator A ssignments Flexibility within and betwe en Cellular Manufacturing Systems張毓欣 Unknown Date (has links)
由於少量多樣的生產趨勢,單元製造系統(Cellular Manufacturing Systems)已成為目前製造業的重點之一。在單元製造系統中,具有多種技能的員工是必備的條件,如何有效的配置人力策略即為本研究的重點。人力配置策略包含了指定式(由單一操作員負責某件工作)、共享式(由兩名或兩名以上操作員共同負責某件工作)及混合式人力配置策略(同時使用指定式和共享式兩種策略),其中,共享式和混合式的人力配置策略可稱為彈性人力配置策略。要使用彈性人力配置策略,需要有人力彈性(Labor Flexibility)。
所謂的人力彈性在單元製造系統可分為兩個方向:(1)單元間的人力彈性(Inter-Cell Labor Flexibility),即不同單元間的轉換能力,(2)單元內的人力彈性(Intra-Cell Labor Flexibility),即單元內不同工作間的轉換能力。本研究分為兩個主要部份,分別探討在單元間採用彈性人力配置策略和在單元內採用彈性人力配置策略對於工作量平衡程度、工作量共享程度和績效表現的影響。
根據研究結果,在單元內採用彈性的人力配置策略對於操作員間的工作量平衡和績效表現皆有直接且正向影響,但隨著操作員數目的減少,彈性的人力配置策略對於績效表現之影響減弱、甚至變為負向效果;在單元間採用彈性的人力配置策略之效果和在單元內採用彈性的人力配置策略相似,對操作員間的工作量平衡和績效表現亦有直接且正向影響,且隨著單元數增加,在單元間採用彈性的人力配置策略對績效表現的影響增強。本研究之結果可做為運用彈性的人力配置策略以及規劃交互訓練時的參考方向,並可用此架構來預測績效改變。 / The object of the research is to study agile labor assignments in cellular manufacturing systems by intra-cell and inter-cell operator’s mobility. There are three labor assignments strategies including dedicated (only one operator is responsible for a work), shared (two or more than two operators are responsible for a work), and combined assignment (using both of dedicated assignment and shared assignment). Different assignments lead to different workload balancing, workload sharing and performance.
The research builds a simulate framework which includes operators’ moving rule, proposition of empirical study and index of workload balancing and workload sharing. According the result of research, applying intra-cell operator’s mobility can improve operator’s workload balancing and performance. Nevertheless, the relationship of intra-cell operator’s mobility and performance would decrease with decreasing of labor limited. The impact of inter-cell operator’s mobility is similar to intra-cell operator’s mobility, but it would increase with increase of complexity. The simulate framework which pass through the testing can use in an actual company case, provide a direction of how to use labor assignments, and forecast the impact of using agile labor assignment.
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