| 研究生: |
蔡政宏 Tsai, Cheng-Hung |
|---|---|
| 論文名稱: |
商用車燈組裝人力水準及生產排序之研究 A Study on Both Staffing Level and Production Sequence Decisions from a Truck-Lamps Assembly Line |
| 指導教授: |
楊大和
Yang, Ta-ho |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 製造資訊與系統研究所 Institute of Manufacturing Information and Systems |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 82 |
| 中文關鍵詞: | 產能規劃 、生產線平衡 、少人化 、生產排序 |
| 外文關鍵詞: | Capacity planning, Line Balancing, Labor linearity, Production Sequence |
| 相關次數: | 點閱:120 下載:7 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
目前台灣汽車及其零件製造業之生產價值有逐年成長的趨勢,其中汽車零件製造業於2018年的生產價值為新台幣1908億元,為汽車產業的52.84%,係一重要產業。其中汽車用電燈組又佔了汽車零件製造業產品項目44%,非常具有代表性。然而汽車零組件產業無法避免的是市場的淡季與旺季,如何利用精實生產相關的工具與方法來降低成本為一重大議題,對於勞力密集的汽車零組件產業而言,人力成本為該產業生產成本的重要參考指標,本文將以車燈組裝線為案例進行探討。
製造現場能否因應需求量來進行生產,最直接影響的是企業的現金流。因此必需利用產能規劃方法來生產的決定投入與產出,當需求變動的情況下,可以減少人員或設備的投入,藉此節省非必要支出的成本。另外,在大部分的傳統產業中,生產順序都是依照員工過去的經驗而進行安排生產,此種生產方式可能造成當下所生產的產品並不是現在顧客所需要的,因此造成存貨堆積。
而目前案例公司現況所面臨的問題有兩點,第一點為當顧客需求或生產量產生變化時,主管該如何決定人力水準以達到當天的需求量,第二點為如何安排生產順序可以使生產的總流程時間最小化,或是使設備的閒置時間最小化。
因此本研究提出一套產能規劃與生產排序之研究方法,首先利用 RCCP 之途程法粗略估計各製程站所需作業人數,後續利用生產線平衡方法進行作業的合併,再藉由 Microsoft Office Excel 內建之規劃求解工具進行混合整數規劃模型求解合併後各產品作業的人力配置,當完成人力水準之產能規劃後,則利用排程軟體 Lekin Schedule Software 進行生產排序求解最佳之生產順序,而實驗情境設計主要是為了設計出符合案例公司現況的少量多樣生產方式,經由實驗結果發現導入少人化模式後績效表現未必比現況定員制佳,其中必須考慮產品的組合,若是將少人化模式結合批量分割的方式則可以得到較佳的績效表現。因此案例公司可透過導入少人化結合批量分割的方式來提升生產效率與降低生產成本,以增加其企業競爭力。
At present, the production value of Taiwan's automobile and parts manufacturing industry is growing year by year. Among them, the production value of the automobile parts manufacturing industry in 2018 was NT $ 190.8 billion, 52.84% of the automobile industry, and it occupies a pivotal position. Among them, the automobile electric light group accounts for 44% of the auto parts manufacturing products project, which is very representative.
The automobile and parts manufacturing industry can not avoid the low and high seasons of the market. How to use lean production-related tools and methods to reduce production costs is a major issue. For the labor-intensive industry, the labor cost is is an important reference index for the production cost of automobile and parts manufacturing industry. To deal with the problems, this study proposes a set of methods for capacity planning and optimization production sequencing. First, the RCCP route method is used to roughly estimate the number of operators required for each work center, and then create the logic to deciede whether combine operations or not. Through Microsoft Office Excel's built-in solver to solve the manpower allocation of each operation after operation combined. After completing the manpower level capacity planning, the next step is use the Lekin scheduling software to optimize the production sequencing. The design of the experimental is want to create a multiproduct and low volumes production environment.
The experimental results show that labor linearity doesn’t have significant influence at performance of manufacturing when it didn’t consider the proportion of product.It needs to combine with lotsplitting method so that can have more better performance.Therefore, the company can increase production efficiency and reduce production costs by the method of labor linearity with lotsplitting to increase company’s competitiveness.
李鈞,2013,生產管理進階,前程文化事業有限公司,台北。
成沢俊子、Jhon Shock,李兆華譯,民98,大家來學TPS-豐田改善直達車,財團法人中衛發展中心,台北。
車輛中心ARTC,2019,(取得日期:2019年7月25日),[available at https://www.artc.org.tw/chinese/03_service/03_02detail.aspx?pid=1456&nPage=1]
林知慶,2016,汽車引擎連桿製造之單元工程設計,成功大學製造資訊與系統之研究所,碩士論文,台南。
許天淳、徐盛偉,2006,常用派工法則在排程穩健性衡量表現之研究,亞東學報,26,157-166。
柳生俊二,2008,從單元細胞開始的同期生產方式,財團法人中衛發展中心,台北。
桑田,秀,1998,生產管理概論,日刊工業新聞社,東京。 麥克·魯斯、約翰·舒克,趙克強譯,2006,學習觀察:增加價值、消除浪費的價值流圖,財團法人中衛發展中心,台北。 麥克·魯斯、李克·哈里斯,李朝生、李兆華譯,2007,建構連續流:管理者、工程師與製造團隊的行動指南,財團法人中衛發展中心,台北。
張敏智,2010,以混合整數規劃求解單元生產之少人化問題,成功大學製造資訊與系統之研究所,碩士論文,台南。
經濟部統計處 (2019a),「工業產銷存價值統計調查」,(取得日期:2019年7月25日),[available at http://dmz9.moea.gov.tw/gmweb/investigate/InvestigateDB.aspx]
----(2019b),「工業產品群統計調查」,(取得日期:2019年7月25日),[available at http://dmz9.moea.gov.tw/gmweb/investigate/InvestigateDA.aspx]
Adams, J., Balas, E. and Zawack, D. (1988). The shifting bottleneck procedure for job shop scheduling. Management science, 34(3), 391-401.
Becker, C. and Scholl, A., 2006, A survey on problems and methods in generalized assembly line balancing, European journal of operational research, 168(3), 694-715.
Buxey, G., 1974, Assembly line balancing with multiple stations, Management science, 20(6), 1010-1021.
Daniel, V., Guide Jr, R. and Spencer, M., 1997, Rough-cut capacity planning for remanufacturing firms, Production Planning & Control, 8(3), 237-244.
Fogarty, D., Blackstone, J. and Hoffmann, T., 1991, Production and Inventory Management, 2nd edn ,Cincinnati, OH, South-Western Pub.
Ghosh, S. and Gagnon, R. J., 1989, A comprehensive literature review and analysis of the design, balancing and scheduling of assembly systems. The International Journal of Production Research, 27(4), 637-670.
Gökçen, H., Kara, Y. and Atasagun, Y., 2010 , Integrated line balancing to attain Shojinka in a multiple straight line facility. International Journal of Computer Integrated Manufacturing, 23(5), 402-411.
Huang, R. H., 2010, Multi-objective job-shop scheduling with lot-splitting production, International Journal of Production Economics, 124(1), 206-213.
Hopp, W. and Spearman, M., 2008, Factory Physics (International Edition), New York: McGraw-Hill.
Kleijnen, J. P. and Wan, J., 2007, Optimization of simulated systems: OptQuest and alternatives, Simulation Modelling Practice and Theory, 15(3), 354-362.
Lasdon, L. S., Waren, A. D., Jain, A. and Ratner, M., 1978, Design and testing of a generalized reduced gradient code for nonlinear programming, ACM Transactions on Mathematical Software (TOMS), 4(1), 34-50.
Low, C., Hsu, C. M. and Huang, K. I., 2004, Benefits of lot splitting in job-shop scheduling, The International Journal of Advanced Manufacturing Technology, 24(9-10), 773-780.
Marchwinski,C.,Shook,J and Schroeder,A.(Eds)., 2008, Lean Lexicon(Fourth ed.), Cambridge, MA:The Lean Enterprise Institute.
Michael, L. P., 2018, Scheduling: theory, algorithms, and systems. Springer.
Moden, Y.K, 2004, Toyota Produciton System: an Integrated Approach to Just-in- time,4th edtion, CRC Press, Boca Raton, Florida.
Morton, T. and Pentico, D. W., 1993, Heuristic scheduling systems: with applications to production systems and project management, John Wiley & Sons.
Palau Requena, O., 2013, The time and Space Assembly Line Balancing Problem: modelling two new space features, Bachelor's thesis, Universitat Politècnica de Catalunya.
Pinedo, M. and Singer, M., 1999, A shifting bottleneck heuristic for minimizing the total weighted tardiness in a job shop, Naval Research Logistics (NRL), 46(1), 1-17.
Rother, M. and Harris, R., 2001, Creating continuous flow: an action guide for managers, engineers & production associates, Lean Enterprise Institute.
Ruben, R. A. and Mahmoodi, F., 1998, Lot splitting in unbalanced production systems, Decision Sciences, 29(4), 921-949.
Van Nieuwenhuyse, I. and Vandaele, N., 2006, The impact of delivery lot splitting on delivery reliability in a two-stage supply chain, International Journal of Production Economics, 104(2), 694-708.
Wei, N. C. and Chao, I. M., 2011, A solution procedure for type E simple assembly line balancing problem, Computers & Industrial Engineering, 61(3), 824-830.
Wortman, J., Euwe, M., TAAL, M. and Wiers, V., 1996, A review of capacity planning techniques within standard software packages, Production Planning & Control, 7(2), 117-128.