透過您的圖書館登入
IP:3.147.42.168
  • 學位論文

製鞋業型III生產線平衡問題研究

A Study of Type-III Assembly Line Balancing Problem in Footwear Manufacturing

指導教授 : 陳建良
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


製鞋業屬傳統勞力密集性產業,在台灣經濟發展過程中,佔有無可取代之地位。製鞋大致分為鞋面及鞋底兩大製程,而針車作業即為鞋面製程中所需人力最多,最為重要之一環。本研究針對製鞋廠針車線製程發展群組基因演算法(Grouping Genetic Algorithm, GGA)求解資源有限及人員安排生產線平衡型III問題,經由生產線平衡安排,妥善分配各工作站工作負荷,進而減少製程人力需求,提升生產效率。 本研究考量製鞋業生產現場的實際特性,包括多技能員工、技能熟練度、工序時間變異及員工數等,發展GGA求解資源限制情形下之生產線平衡型III問題,工作站總數為已知,指派工序到工作站,使各工作站間工作負荷平衡最大化。本研究亦以製鞋廠實際生產數據搭配實驗設計,尋求演算法及生產系統最佳參數設定,及驗證演算法之績效。此外,本研究亦將預算作為生產線平衡安排限制條件之一,以了解其對目標值之影響。本研究可提供製鞋廠於產線安排上之參考,有效提升其針車線製程效率,具高度實用價值。

並列摘要


Footwear manufacturing is a traditional labor intensive industry, and plays an important role in the economy growth in Taiwan. The manufacturing process of shoes is generally separated into upper process and sole process, and stitching, which requires the most operators, is one of the most critical processes in upper process. This study uses Grouping Genetic Algorithm (GGA) to solve type III Resource-Constrained Assembly Line and Worker Assignment Balancing Problem (RCALWABP) in stitching lines of footwear manufacturing. With balancing of stitching lines, it can let workload of lines more smoothness, reduce operator requirement and increase production efficiency. This study takes into accounts several practical characteristics in footwear manufacturing, including multi-skilled operators, operator efficiency, task time variance and number of operators. Type III RCALWABP in stitching lines is solved using GGA to maximize workload smoothness and allocate the workload evenly with a given number of workstations. Real data from footwear factories is collected and used to evaluate the performance of GGA based on experimental design. The optimal parameters setting of GGA and production system are also obtained. Furthermore, this study takes budget as one the constraint, and uses it to verify the effect to objective value. This study can provide some idea for footwear factory to assign tasks to workstations and the efficiency can be improved.

並列關鍵字

無資料

參考文獻


Ağpak, K., & Gökçen, H. (2005). Assembly line balancing: Two resource constrained cases. International Journal of Production Economics, 96(1), 129-140.
Becker, C., & Scholl, A. (2006). A survey on problems and methods in generalized assembly line balancing. European journal of operational research,168(3), 694-715.
Blum, C., & Miralles, C. (2011). On solving the assembly line worker assignment and balancing problem via beam search. Computers & Operations Research, 38(1), 328-339.
Boctor, F. F., Renaud, J., Ruiz, A., & Tremblay, S. (2009). Optimal and heuristic solution methods for a multiprocessor machine scheduling problem. Computers & Operations Research, 36(10), 2822-2828.
Borba, L., & Ritt, M. (2014). A heuristic and a branch-and-bound algorithm for the Assembly Line Worker Assignment and Balancing Problem. Computers & Operations Research, 45, 87-96.

延伸閱讀