簡易檢索 / 詳目顯示

回結果列表
研究生： 郭玉英
Desi Winoto
論文名稱： 以設計科學方法提升供應鏈管理：自行車產業X公司的案例
Enhancement in Supply Chain Management with Design Science Approach: A Case for Company X in the Bicycle Industry
指導教授： 周瑞賢
CHOU, STEPHEN JUI-HSIEN
口試委員: 鄭保志
Cheng, Roger
盧姝璇
Lu, Shu-Shiuan
學位類別： 碩士
Master
系所名稱： 科技管理學院 - 國際專業管理碩士班
International Master of Business Administration(IMBA)
論文出版年： 2024
畢業學年度： 112
語文別： 英文
論文頁數： 60
中文關鍵詞： 供應鏈管理 、設計科學研究 、需求規劃 、短期需求規劃 、中期規劃 、長期需求規劃 、產品共通性
外文關鍵詞： Supply Chain Management, Design Science Research, Demand Planning, Short-term Demand Planning, Medium-term Planning, Long-term Demand Planning, Product Commonality
相關次數： 點閱：52  下載：0 
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

    • 本研究探討如何通過設計科學研究改善“X”自行車公司的供應鏈績效。著重於在供應鏈目標中實現短期、中期和長期供應鏈活動的平衡。通過整合模塊化設計原則，並從人員、組織系統和技術系統的整體觀點出發，該研究旨在提升供應鏈績效。一個基於知識的框架支持這一努力，旨在實現適應性和增長的持續改進。預期成果包括更好地按時交付、質量和數量的滿足，從而有助於公司的運營和財務健康。該研究強調可持續、適應性策略對未來成功的重要性，並建議進一步研究數字化進步和知識管理的戰略利益。

    This study explores how to improve supply chain performance at "X" Bicycle Company through design science research. Focusing to strive balance of short-term, medium-term, and long-term supply chain activities reflected in the supply chain goals. By integrating modular design principles and a holistic view of personnel, or-ganizational system, and technical system, the research seeks to enhance supply chain performance. A knowledge-based framework supports the endeavor, aiming for lasting improvements in adaptability and growth. Expected outcomes include better delivery in time, quality, and quantity fulfillment contributing to the compa-ny's operational and financial health. The study underscores the importance of sus-tainable, adaptable strategies for future success, with further research suggested on digital advancements and knowledge management's strategic benefits.

    Contents Abstract 2 Acknowledgements 3 Contents 4 List of Figures 6 List of Tables 6 Chapter 1 Introduction 7 1.1 Research Background 7 1.2 Supply Chain in Bicycle Industry 11 1.3 Company Profile 11 1.4 Research Objectives 11 1.5 Scope and Limitations 12 1.6 Gap Statements 12 Chapter 2 Literature Review 14 2.1 Supply Chain Management 14 2.2 Supply Chain Activities by Time Horizon 14 2.2.1 Short-term Planning 14 2.2.2 Medium-term Planning 15 2.2.3 Long-term Planning 15 2.3 Demand Planning 15 2.3.1 Demand Planning Strategies 16 2.3.2 Common Practices Tools in Planning 16 2.3.3 Comparison of Various Demand Planning Tools 19 2.4 Modularity/Commonality 20 Chapter 3 Analytical Tool Introduction 22 3.1 Environment 22 3.2 Design Cycle 24 3.3 Relevance Cycle 24 3.4 Knowledge Base 25 3.5 Rigor Cycle 25 Chapter 4 Case Analysis 27 4.1 Company X Planning Horizon 27 4.2 First Encounter of Commonality 28 4.2.1 The Supply Chain Goals 28 4.2.2 Commonality Adoption History 31 4.2.3 Commonality Problem 32 4.3 Current Environment 33 4.3.1 People 33 4.3.2 Organizational System 36 4.3.3 Technical System 42 4.4 Problem Analysis 46 4.4.1 On-Time Delivery and Delivery in Full Problem 46 4.4.2 Quality Issues Rate Problem 48 4.4.3 Days Inventory Outstanding and Inventory Turnover Problem 49 4.4.4 Cost Efficiency 49 4.5 Planning Action 50 4.6 Relevance Cycle 51 4.6.1 Scheduled Environment Scanning 51 4.6.2 Key Performance Indicators (KPI) Monitoring as Impact Assessment 52 4.7 Knowledge Base 53 4.8 Rigor Cycle 53 4.8.1 Standard Operating Procedures (SOP) 53 4.8.2 ISO Documentation 54 4.8.3 Internal Repository System 54 Chapter 5 Conclusion 56 Bibliography 58 List of Figures Figure 1.1 Demand Volatility by Continent 8 Figure 3.1: The Design Science Research 1 22 Figure 4. 1 Company X Supply Chain Process…………………………………………………………………………..27 Figure 4. 2 Fishbone Analysis of On Time Delivery 48 Figure 4. 3 Fishbone Analysis of Quality Rate Issue 48 List of Tables Table 1 Country Origin of Raw Material’s Vendor 10 Table 2 Demand Planning Tools Comparison 19 Table 3 Supply Chain Goals 31 Table 4 Improvement Planning for People and Organizational System 51 Table 5 Improvement Planning for Tools and Technical System 51

    Bonde, H., & Hvolby, H.-H. (2005). The demand planning process. Journal on Chain and Network Science, 5(2), 73–84. https://doi.org/10.3920/JCNS2005.x057
    Byrne, R. F. (2012). Beyond Traditional Time-Series: Using Demand Sensing to Improve Forecasts in Volatile Times. The Journal of Business Forecasting, 31(2), 13–19. https://www.proquest.com/docview/1243346159/abstract/F0F130D30ADF4B0APQ/1
    Champion, A. (2023, February 4). What Is Fill Rate? Definition, Formula, & Calculation. Flowspace. https://flow.space/blog/fill-rate/
    Chung, W.-H., Okudan Kremer, G. E., & Wysk, R. A. (2013). A Modular Design Approach to Improve Product Life Cycle Performance Based on the Optimization of a Closed-Loop Supply Chain. Journal of Mechanical Design, 136(021001). https://doi.org/10.1115/1.4025022
    Dong, M., & Chen, F. F. (2005). The impacts of component commonality on integrated supply chain network performance: A state and resource-based simulation study. The International Journal of Advanced Manufacturing Technology, 27(3), 397–406. https://doi.org/10.1007/s00170-004-2188-2
    Dresch, A., Lacerda, D. P., & Antunes, J. A. V. (2015). Design Science Research. In A. Dresch, D. P. Lacerda, & J. A. V. Antunes Jr (Eds.), Design Science Research: A Method for Science and Technology Advancement (pp. 67–102). Springer Inter-national Publishing. https://doi.org/10.1007/978-3-319-07374-3_4
    Ecommerce Guide to Fill Rate: Formula & Calculation. (n.d.). ShipBob. Retrieved June 7, 2024, from https://www.shipbob.com/blog/fill-rate/
    Emami, S., Barzegaran, F., & Divsalar, A. (2019). A Mathematical Model for Production Planning and Scheduling in a Production System: A Case Study. International Journal of Industrial Engineering, 6(2).
    Folinas, D., & Rabi, S. (2012). Estimating benefits of Demand Sensing for consumer goods organisations. Journal of Database Marketing & Customer Strategy Man-agement, 19(4), 245–261. https://doi.org/10.1057/dbm.2012.22
    Helms, M. M., Ettkin, L. P., & Chapman, S. (2000). Supply chain forecasting – Collabora-tive forecasting supports supply chain management. Business Process Manage-ment Journal, 6(5), 392–407. https://doi.org/10.1108/14637150010352408
    Interview Question: JIT vs. Safety Stock in Supply Chain Approach. (n.d.). IIENSTITU. Re-trieved June 11, 2024, from https://www.iienstitu.com/en/blog/jit-vs-safety-stock-in-supply-chain-approach
    King, W. R., & Marks, P. V. (2008). Motivating knowledge sharing through a knowledge management system. Omega, 36(1), 131–146. https://doi.org/10.1016/j.omega.2005.10.006
    Liberopoulos, G. (2013). Production Release Control: Paced, WIP-Based or Demand-Driven? Revisiting the Push/Pull and Make-to-Order/Make-to-Stock Distinctions. In J. M. Smith & B. Tan (Eds.), Handbook of Stochastic Models and Analysis of Manufacturing System Operations (pp. 211–247). Springer. https://doi.org/10.1007/978-1-4614-6777-9_7
    Mohamad, A., Hickethier, G., & Hovestadt, V. (n.d.). Use of Modularization in Design As A Strategy To Reduce Component Variety in One-Off Projects.
    Rădăşanu, A. C. (n.d.). Inventory Management, Service Level, and Safety. 9.
    Reid, H. (2022, June 24). What Is Fill Rate? (Definition, Types and How To Calculate). DCL Logistics. https://dclcorp.com/blog/fulfillment/fill-rate/
    Shurrab, H. (2022). Balancing Demand and Supply in Complex Manufacturing Operations: Tactical-Level Planning Processes. https://doi.org/10.13140/RG.2.2.11574.57925/1
    Su, J. C. P., Chang, Y.-L., & Ho, J. C. (2004). Evaluation of Component Commonality Strategies in Supply Chain Environment. Asia Pacific Management Review, 9(5), 801–821. https://doi.org/10.6126/APMR.2004.9.5.03
    The Monthly Metric: Fill Rate. (n.d.). Retrieved June 7, 2024, from https://www.ismworld.org/supply-management-news-and-reports/news-publications/inside-supply-management-magazine/blog/2022/2022-07/the-monthly-metric-fill-rate/
    Wagner, M. (2002). Demand Planning. In H. Stadtler & C. Kilger (Eds.), Supply Chain Management and Advanced Planning: Concepts, Models, Software and Case Studies (pp. 123–141). Springer. https://doi.org/10.1007/978-3-662-10142-1_8
    Zijm, H., Klumpp, M., Heragu, S., & Regattieri, A. (2019). Operations, Logistics and Sup-ply Chain Management: Definitions and Objectives. In H. Zijm, M. Klumpp, A. Regattieri, & S. Heragu (Eds.), Operations, Logistics and Supply Chain Manage-ment (pp. 27–42). Springer International Publishing. https://doi.org/10.1007/978-3-319-92447-2_3

    QR CODE