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研究生: 曾翊琪
Tseng, Yi-Chi
論文名稱: 精實數位看板實務之研究
A Study on Implementing Digital Lean Boards for Visual Management
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: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 122
中文關鍵詞: 豐田生產方式順序生產精實資訊系統資料可視化離散事件模擬
外文關鍵詞: Toyota Production System, Production Sequence, Lean Information Management, Data Visualization, Discrete-event Simulation
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  • 本研究以精實生產理念為核心,結合數位環境進行一連串精實資訊系統之實務研究。目前在數位環境下企業高度仰賴企業資源系統(Enterprise Resource Planning, ERP)執行生產活動,但ERP的運作邏輯與精實生產的豐田生產方式(Toyota Production System, TPS)核心經常衝突,導致ERP的導入並無法增進物與資訊的流動,也無法協助完成目視管理的目標。因此為了輔助企業進行數位轉型,同時符合TPS的核心,本研究著重於現場生產順序的一致性,開發一易上手、易讀性高且即時反應生產狀況的工具(後稱數位看板),並實際將此系統導入至案例公司中。

    數位看板以精實資訊管理系統為架構,完全依案例公司流程進行平台介面設計、軟硬體選用、實體架設,增進物與資訊的連續流動。同時建立新績效指標—生產順序一致性(Production Sequence Consistency, PSC),並開發儀表板將生產數據可視化,讓現場、生管單位與管理層可利用數位看板觀察工單投放狀況與在製品(Work-in-Process, WIP)位置,快速發現未按順序生產的異常。

    為了協助管理層在看見問題後能了解問題並前往解決,本研究接續以案例公司生產數據作為基礎,建立一高度符合現實工廠之模擬模型。以瓶頸站作為分析對象,進行PSC與工單延遲的改善策略分析,以期降低企業導入的成本與時間。

    而經由本研究模擬結果得知,不論任何供應鏈型態,導入數位看板預計可縮短週期時間(Cycle Time, CT)同時減少工單延遲天數。以案例公司而言,預期可縮短CT 4%~27%,工單延遲天數下降6.7%。在穩態與客戶需求減少的狀態下,應優先提高瓶頸站的PSC,即可進一步降低工單延遲的機率;若客戶需求增加時,則應先採用其他精實手法消除浪費、擴充產能,再進行PSC的改善。另外,除了消除浪費,企業也可藉由生管控制投單,降低人為干預順序對工單延遲的影響,進一步控制交貨準確率。若生管能同時以精實生產中平準化與連續流動為目標採取小批量投單,可進一步降低加工數量變異,在任何情形下對降低工單延遲程度都有所助益。

    On the basis of the lean management philosophy, the implementation of a series of lean information system practices was investigated in this research. In the digital era, production activities are highly reliant on information systems. However, commercial enterprise resource planning packages cannot meet the needs of most businesses. To assist enterprises in beginning a digital transformation and adhering to the core concepts of lean production in the Toyota Production System, this study adopted a practical method of allowing a fixed number of Work-in-Process(WIP) and emphasizing the optimization of the consistency of the production sequence on the shop floor. A digital lean board (DLB) was developed in this study to facilitate this goal. DLBs are easy to learn, highly readable, and can be used to evaluate information in real time. A DLB was implemented in a real case in this study.

    The business processes of a case company were used as a basis for constructing a DLB information system, which included an interface, hardware components, and software, for improving the flow of physical parts and information at the company. Moreover, a new performance index, namely production sequence consistency (PSC), was adopted to enable indirect personnel and supervisors to identify abnormal production inconsistencies rapidly.

    For quickly resolving problems after identifying abnormalities, a model for verifying and validating solutions through simulations was constructed on the basis of real manufacturing data from the case company. Thus, enterprises can evaluate the effectiveness of improvement strategies by using the simulation results; the resulting efficiency gains can compensate for the cost of implementing a DLB.

    According to the simulation results, implementing a DLB can shorten cycle time (CT) and reduce the customer order delays for all types of supply chains. At the case company, CT is expected to be shortened by 4%–27% and customer order delays are expected to be reduced by 6.7% after implementing the DLB. Moreover, the results indicated the following recommendations for businesses. If customer demand is steady or declining, the PSC of bottleneck stations should be prioritized for improvement to reduce customer order delays. If the customer demand is increasing, waste should be eliminated using other lean tools to increase production capacity before improving PSC. In addition to eliminating waste, production controllers can control the dispatch of work orders to reduce the influence of human intervention on production sequence, thereby maintaining the timeliness of deliveries. Moreover, if production controllers can dispatch work orders in smaller volumes, customer order delays are less likely because of the associated lower variability in manufacturing quantities.

    目錄 viii 圖目錄 x 表目錄 xiii 1. 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 3 1.3 研究流程 4 1.4 研究架構 5 2. 文獻探討 6 2.1 精實生產(Lean Production) 6 2.1.1 豐田生產方式(TPS) 6 2.1.2 精實生產五項原理 8 2.2 資訊系統(Information Structure, IS) 11 2.3 資料可視化(Data Visualization) 13 2.4 精實資訊管理(Lean Information Management, LIM) 15 2.5 離散事件模擬(Discrete-event Simulation) 21 2.6 研究價值 24 3. 研究方法 26 3.1 第一階段:繪製價值流圖 26 3.2 第二階段:建置精實數位看板 27 3.2.1 精實數位看板具體實作步驟 28 3.2.2 精實數位看板實作介面 31 3.3 第三階段:Arena®離散事件模擬 33 3.4 績效指標與評估 40 4. 案例說明 43 4.1 案例公司背景 43 4.2 案例公司現況說明 44 4.3 精實數位看板導入情形 48 5. 實驗分析 51 5.1 實驗模型設計 51 5.2 研究限制與假設 53 5.3 建模資料前處理 54 5.4 模型參數 55 5.5 Warm-up Period 57 5.6 Number of Replications 58 5.7 信效度分析 59 5.8 實驗結果 60 5.8.1 實驗一:客戶需求與現況相同 61 5.8.2 實驗二:客戶需求增加 69 5.8.3 實驗三:客戶需求下降 76 5.8.4 實驗四:兩站間資訊延遲縮短為0.5天 82 5.8.5 實驗五:客戶訂購量改為小批量投放 83 5.9 小結 85 6. 結論與未來方向 86 6.1 結論 86 6.2 未來方向 87 參考文獻 89 附錄A: 模型參數 94

    中文文獻
    大野耐一(2014),《追求超脫規模的經營――大野耐一談豐田生產方式》,財團法人中衛發展中心,台中
    國立中央大學管理學院ERP中心(2015),《ERP企業資源規劃導論》,碁峰,台北

    日文文獻
    大野耐一(1978)『トヨタ生産方式――脱規模の経営をめざして』、東京:ダイヤモンド社

    網頁文獻
    Oracle. (2022). What is ERP? Oracle. Retrieved 17 April from https://www.oracle.com/tw/erp/what-is-erp/
    SAP. (2022). What is ERP? SAP. Retrieved 17 April from https://www.sap.com/insights/what-is-erp.html

    英文文獻
    Abdulmalek, F. A., & Rajgopal, J. (2007). Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study. International Journal of Production Economics, 107, 223-236.
    Ahlstrom, P. (2004). Lean service operations: translating lean production principles to service operations. International Journal of Services Technology and Management, 5, 545-564.
    Ahuja, I. P. S., & Khamba, J. S. (2008). An evaluation of TPM initiatives in Indian industry for enhanced manufacturing performance. International Journal of Quality & Reliability Management, 25, 147-172.
    Amasaka, K. (2002). “New JIT”: A new management technology principle at Toyota. International Journal of Production Economics, 80, 135-144.
    Amasaka, K. (2014). New JIT, New Management Technology Principle: Surpassing JIT. Procedia Technology, 16, 1135-1145.
    Ancona, M., Beyeler, M., Gross, M., & Günther, T. (2019). MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions. IEEE Transactions on Visualization and Computer Graphics, 27(3), 1986-1999.
    Banks, J., II, J. S. C., Nelson, B. L., & Nicol, D. M. (2005). Discrete-Event System Simulation (3 ed.). Pearson.
    Bevilacqua, M., Ciarapica, F. E., & Paciarotti, C. (2015). Implementing lean information management: the case study of an automotive company. Production Planning & Control, 26, 753-768.
    Chang, D., & Lee, S. M. (1996). The impact of critical success factors of JIT implementation on organizational performance. Production Planning & Control, 7, 329-338.
    Danovaro, E., Janes, A., & Succi, G. (2008). Jidoka in software development OOPSLA Companion '08: Companion to the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications, Nashville, TN, US.
    Davenport, T. H. (1998). Putting the Enterprise into the Enterprise System. Harvard Business Review (July-August), 121-131.
    Detty, R. B., & Yingling, J. C. (2000). Quantifying benefits of conversion to lean manufacturing with discrete event simulation: A case study. International Journal of Production Research, 38, 429-445.
    Duclos, L. K., Sih, S. M., & Lummus, R. R. (1995). JIT in services: a review of current practices and future directions for research. International Journal of Service Industry Management, 6, 36-52.
    Ezzahra, S. F., Ahmed, A., & Said, R. (2018). Literature review on successful JIT implementation in developing countries : obstacles and critical success factors 2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA), Tangier, Morocco.
    Goldratt, E. M. (1999). Theory of Constraints. North River Press.
    Gupta, A. K. (2011). A Conceptual JIT Model of Service Quality. International Journal of Engineering Science and Technology, 3, 2214-2227.
    Hüttmeir, A., Treville, S. d., Ackere, A. v., Monnier, L. o., & Prenninger, J. (2009). Trading off between heijunka and just-in-sequence. International Journal of Production Economics, 118, 501-507.
    Hicks, B. J. (2007). Lean information management: Understanding and eliminating waste. International Journal of Information Management, 27, 233-249.
    Hinckley, C. M. (2007). Combining mistake-proofing and Jidoka to achieve world class quality in clinical chemistry. Accreditation and Quality Assurance, 12, 223-230.
    Hopp, W. J., & Spearman, M. L. (2011). Factory Physics (3 ed.). Waveland Pr Inc.
    Kelton, W. D., Sadowski, R. P., & Zupick, N. B. (2013). Simulation with Arena (6 ed.). McGraw Hill Education.
    Kumar, R., & Kumar, V. (2014). Barriers in Implementation of Lean Manufacturing System in Indian industry: A survey. International Journal of Latest Trends in Engineering and Technology, 4, 243-251.
    KUMAR, V. (2010). JIT Based Quality Management: Concepts and Implications in Indian Context. International Journal of Engineering Science and Technology, 2, 40-50.
    Lai, P. C., & Baum, T. (2005). Just‐in‐time labour supply in the hotel sector: The role of agencies. Employee Relations, 27, 86-102.
    Laudon, K. C., & Laudon, J. P. (1996). Management information systems: New Approaches to organisation and technology. Prentice Hall PTR.
    Laudon, K. C., & Laudon, J. P. (2012). Essentials of Management Information Systems (9 ed.).
    McLachlin, R. (1997). Management initiatives and just-in-time manufacturing. Journal of Operations Management, 15, 271-292.
    Miclo, R., Fontanili, F., Lauras, M., Lamothe, J., & Milian, B. (2016, 28-30 June). An empirical comparison of MRPII and Demand-Driven MRP 8th IFAC Conference on Manufacturing Modelling, Management and Control MIM, Troyes, France.
    Ohno, T., & Bodek, N. (1988). Toyota Production System: Beyond Large-Scale Production (1 ed.).
    Oliveira, J., Sá, J. C., & Fernandes, A. (2017). Continuous improvement through "Lean Tools": An application in a mechanical company. Procedia Manufacturing, 13, 1082-1089.
    Pool, A., Wijngaard, J., & Zee, D.-J. v. d. (2011). Lean planning in the semi-process industry, a case study. International Journal of Production Economics, 131, 194-203.
    Rahani, A. R., & al-Ashraf, M. (2012). Production Flow Analysis through Value Stream Mapping: A Lean Manufacturing Process Case Study. Procedia Engineering, 41, 1727-1734.
    Rauen, H., Mosch, C., & Prumbobhm, F. (2018). Industrie 4.0 meets Lean-Guideline to increase added value holistically.
    Ribeiro, P., Sá, J. C., Ferreira, L. P., Silva, F. J. G., Pereira, M. T., & Santos, G. (2019). The Impact of the Application of Lean Tools for Improvement of Process in a Plastic Company: a case study. Procedia Manufacturing, 38, 765-775.
    Schuh, G., Anderl, R., Dumitrescu, R., Krüger, A., & Hompel, M. t. (2020). Industrie 4.0 Maturity Index-Managing the Digital Transformation of Companies.
    Seethamraju, R., & Sundar, D. K. (2013). Influence of ERP systems on business process agility”, IIMB Management Review. 25, 137-149.
    Senkuviene, I., Jankauskas, K., & Kvietkauskas, H. (2014). Using manufacturing measurement visualization to improve performance. MECHANICAL TECHNOLOGIES, 20, 99-107.
    Shang, S., & Seddon, P. B. (2000). A Comprehensive Framework for Classifying the Benefits of ERP A Comprehensive Framework for Classifying the Benefits of ERP Systems Proceedings of Americas Conference on Information Systems (AMCIS 2000), Long Beach, US.
    Shanthikumar, J. G., Ding, S., & Zhang, M. T. (2007). Queueing Theory for Semiconductor Manufacturing Systems: A Survey and Open Problems. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 4, 513-522.
    Soares, S., & Teixeira, L. (2014). Lean Information Management in Industrial Context: an Experience Based on a Practical Case International Journal of Industrial Engineering and Management, 5, 107-114.
    T.Melton. (2005). The Benefits of Lean Manufacturing: What Lean Thinking has to Offer the Process Industries. Chemical Engineering Research and Design, 83, 662-673.
    Teixeira, L., Ferreira, C., & Santos, B. S. (2018). An Information Management Framework to Industry 4.0: A Lean Thinking Approach Human Systems Engineering and Design. IHSED 2018, CHU-Université de Reims Champagne-Ardenne, France.
    Trimi, S., Lee, S. M., Olson, D. L., & Erickson, J. (2005). Alternative means to implement ERP Internal and ASP. Industrial Management & Data Systems, 105, 184-192.
    Vosburg, J., & Kumar, A. (2001). Managing dirty data in organizations using ERP: lessons from a case study. Industrial Management & Data Systems, 101, 21-31.
    Womack, J. P., & Jones, D. T. (1996). Lean Thinking—Banish Waste and Create Wealth in your Corporation. Simon & Schuster.
    Yang, T., Lee, R.-S., Chen, M.-C., & Chen, P. (2004). Queueing network model for a single-operator machine interference problem with external operations. European Journal of Operational Research, 167, 163-178.
    Yasin, M. M., Small, M. H., & Wafa, M. A. (2003). Organizational modifications to support JIT implementation in manufacturing and service operations. Omega, 31, 213-226.

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