組裝產業近年來面臨產品多樣化與需求不斷變動的挑戰，企業紛紛朝向導入精實生產之單元工程來降低其生產成本和增加製造彈性，以提升產業競爭力。以平行組裝線為生產線型態之組裝產業，因受製程技術能力、加工環境、人員流動頻繁、人員熟練度不同、企業聘用契約工趨勢…等影響，使得導入精實單元生產的過程中，管理幹部無法快速、適當的將人員指派上線，並考慮到人力成本最小化與生產線平衡最適化，而造成過多的作業人力浪費、生產作業不平衡、大量WIP及流動不連續…等生產問題。因此對於勞力密集的組裝產業而言，透過本研究數學規劃模式，可適切地指派作業人員於線上生產，透過生產線平衡，降低作業人力成本。
於傳統作業現場中，人員排班之管理工作多仰賴作業現場主管依個人經驗法則與主觀意識進行規劃。而此種以人力進行排班規劃之方式往往缺乏客觀性與正確性，更易因人為判斷失誤，造成作業人員彼此間搭配性不佳，甚至影響生產線產出之成效。本研究將針對平行組裝生產線，發展一結合精實技術之兩階段數學規劃模型，以找出最佳人員指派模式。
在滿足顧客需求的前提下，先考慮生手和熟手的人力成本以最小化成本，並考慮生產線各站間之工時差異最小化，以提高生產線效率。本研究以背光模組廠作為實際案例進行探討，結果顯示所發展之數學規劃模型能有效降低人力成本，可作為現場管理人員排班決策之依據。

Recently, assembly industry faces challenges of vast variety of products and constant changes in customer demand, leading to the adoption of lean production principles in anticipation of what might be required for increasing competitiveness. However, introducing lean production principles into parallel assembly line is affected by factors like poor manufacturing technology and capabilities, poor processing environment, frequent staff turnover, staff members at different skill level and large number of contract workers, leading to inefficiency in assigning tasks to suitable assembly line workers, waste of human resources, large WIP and other production problems. Therefore, this research emphasizes on developing a mathematical model to best assign tasks to assembly line workers and reduce waste of human resources through line balancing.
Traditionally, scheduling relies on empirical rule and subjective consciousness of management level which lacks objectivity and accuracy, affecting the effectiveness in which assembly line workers align and even influencing the yield of production line. This research proposes a two- phase mathematical model, incorporating the essence of lean production, to find the best assembly line worker assignment model for parallel assembly.
Under the condition that customer requirements are fulfilled, the wage of unskilled and skilled assembly line workers are considered to achieve production cost minimization. Meanwhile, variation of working hours between each work station is minimized to raise production efficiency. Empirical study is carried out in a backlight module factory and the result shows that the proposed mathematical model is able to reduce human production cost effectively, thus serving as a reference for scheduling.

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