供應鏈管理對企業營運至關重要，其涵蓋製造、下單、採購、運輸和存貨管理等方面管理。其中，存貨管理在供應鏈中扮演重要角色，其為供應和需求不確定時的緩衝，以確保生產順暢和市場需求波動。因此，有效的存貨規劃、管理和控制至關重要。然而，傳統存貨管理容易導致庫存問題和產品短缺。為了解決這問題，供應鏈可以採用供應商管理存貨之策略，由供應商來控制庫存並管理零售產品存貨數量，以利提高存貨資訊透明度，滿足客戶需求並維持穩定供應。然而，供應商管理存貨實施需促成資訊共享，但資訊共享平台之建構其成本、開發技術具一定門檻。
本研究以安全帽供應鏈作為前導研究之實證對象，首先以精實資訊工具資訊流圖，分析案例資訊傳遞問題，隨後以Microsoft 365建構案例供應鏈資訊共享系統，促成供應鏈資訊共享，確認所建構之資訊共享系統導入零售商之可行性，優化並提升供應鏈資訊收集品質、資訊傳遞效率及資訊掌握度。在資訊流圖分析之績效，資訊自動化、中心化、即時化、傳輸媒體干擾及直通比率皆有顯著之改善，驗證所建構之供應鏈資訊共享系統導入至供應鏈中已實證可行，且為提供案例拓展導入多間零售商資訊共享之參考策略以離散事件模擬建構案例供應鏈模擬模型，並結合反應曲面法之中央合成設計所求最佳化結果，零售商導入間數為11間、顧客需求數量為2、顧客需求變異為0.5，在供應鏈傳遞所需資源成本減少約43%、顧客服務水準提升約25%，導入供應鏈資訊共享系統對供應鏈皆有顯著效益。

Supply chain management is a critical part of business operations, covering various aspects of management such as manufacturing, ordering, purchasing, transportation, and inventory management. Among them, inventory management plays an important role in supply chain management, serving as a buffer against supply and demand uncertainties to ensure smooth production and respond to market demand fluctuations. Therefore, effective inventory planning, management and control are crucial. However, traditional inventory management are prone to inventory problems and product shortages. To solve this problem, supply chains can adopt a vendor management inventory, whereby suppliers control inventory and manage the quantity of retail products in stock to improve the transparency of inventory information, meet customer demand and maintain a stable supply. However, the implementation of vendor management inventory requires the sharing of information, but the cost of building an information-sharing platform and the development of technology have certain thresholds.
In this study, the supply chain of safety-helmets is used as the pilot study. Firstly, we analyze the information transfer problem by using the information stream mapping, and we construct the information sharing system of the case study supply chain by using Microsoft 365 to facilitate the sharing of information in the supply chain to confirm the feasibility of the information sharing system to be introduced into the retailer, and to optimize the quality of the information collection, the efficiency and the mastery of the information in the supply chain. And validated the feasibility of implementing a supply chain information sharing system into the supply chain. To provide a reference strategy for expanding the case to include multiple retailers, we use discrete-event simulation to construct a simulation model of the case's supply chain and optimize the results by combining the central synthesis of the second-order model of the Response Surface Method with the commonly used accessory, which is the Central Composite Design. The with the number of retailers included in the case being 11, the number of customer demands being 2, and the number of customer requirements being 2. The number of retailers is 11, the number of customer demands is 2, and the variation of customer demands is 0.5. The resource cost of supply chain is reduced by about 43%, and the customer service level is increased by about 25%, which means that the introduction of the supply chain information sharing system has a significant benefit to the supply chain.

藝誠科技，2023，EZCS店家雲端服務系統，Available : https://www.ezcs.com.tw/page/about/index.aspx?kind=33&lang=TW (2024/02/22取得)
Microsoft，2023，Microsoft 365商務基本版，Available : https://www.microsoft.com/zh-tw/microsoft-365/business/microsoft-365-business-basic?activetab=pivot:%E6%A6%82%E8%A7%80tab (2023/10/12取得)
Microsoft，2023，Microsoft 365 Power Automate，Available : https://learn.microsoft.com/zh-tw/power-automate/overview-cloud(2023/10/12取得)
Microsoft（2023），《運用Microsoft 365 執行資料收集、分析應用服務》，Microsoft Taiwan，台北。
蘇朝敦(2002)，《品質工程》，中華民國品質學會，台北。
曾珞萍(1996)，「以反應曲面法尋找多目標模擬模式之最佳解－以半導體封裝廠印字區為例」，國立成功大學製造資訊與系統研究所，台南。
Ali, M. M., Babai, M. Z., Boylan, J. E., & Syntetos, A. A. (2017). Supply chain forecasting when information is not shared, European Journal of Operational Research, 260(3), 984-994.
Angulo, A., Nachtmann, H., & Waller, M. A. (2004). Supply chain information sharing in a vendor managed inventory partnership. Journal of Business Logistics, 25(1), 101-120.
Ball, M. O., Ma, M., Raschid, L., & Zhao, Z. (2002). Supply chain infrastructures: system integration and information sharing, ACM Sigmod Record, 31(1), 61-66.
Baymout, M. (2014). ERP systems in supply chain management, International Journal of Advance Research, 2(3), 33-56.
Bhattacharya, S. (2021). Central composite design for response surface methodology and its application in pharmacy, In Response surface methodology in engineering science, IntechOpen.
Chiarini, A., & Gabberi, P. (2022). Comparing the VSM and Makigami tools in a transactional office environment: exploratory research from an Italian manufacturing company. Total Quality Management & Business Excellence, 33(1-2), 127-145.
Childerhouse, P., & Towill, D. R. (2003). Simplified material flow holds the key to supply chain integration, Omega, 31(1), 17-27.
Chengalur-Smith, I., Duchessi, P., & Gil-Garcia, J. R. (2012). Information sharing and business systems leveraging in supply chains: An empirical investigation of one web-based application. Information & Management, 49(1), 58-67.
Croson, R., & Donohue, K. (2003). Impact of POS data sharing on supply chain management: An experimental study, Production and Operations management, 12(1), 1-11.
Choon Tan, K., Kannan, V. R., Hsu, C. C., & Keong Leong, G. (2010). Supply chain information and relational alignments: mediators of EDI on firm performance, International Journal of Physical Distribution & Logistics Management, 40(5), 377-394.
Chatfield, D. C., Kim, J. G., Harrison, T. P., & Hayya, J. C. (2004). The bullwhip effect—impact of stochastic lead time, information quality, and information sharing: a simulation study, Production and Operations Management, 13(4), 340-353.
Datta, P. P., & Christopher, M. G. (2011). Information sharing and coordination mechanisms for managing uncertainty in supply chains: a simulation study, International Journal of Production Research, 49(3), 765-803.
Disney, S. M., & Towill, D. R. (2003). The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains, International Journal of Production Economics, 85(2), 199-215.
Ferreira, S. C., Bruns, R. E., Ferreira, H. S., Matos, G. D., David, J. M., Brandão, G. C., ... & Dos Santos, W. N. L. (2007). Box-Behnken design: An alternative for the optimization of analytical methods. Analytica chimica acta, 597(2), 179-186.
Fiala, P. (2005). Information sharing in supply chains, Omega, 33(5), 419-423.
Hopp, W. J., & Spearman, M. L. (2011). Factory Physics (3 ed.). Waveland Pr Inc.
Huang, Z., & Gangopadhyay, A. (2004). A simulation study of supply chain management to measure the impact of information sharing. Information Resources Management Journal, 17(3), 20-31.
Hachicha, W., Ammeri, A., Masmoudi, F., & Chabchoub, H. (2010). A multi-product lot size in make-to-order supply chain using discrete event simulation and response surface methodology, International Journal of Services, Economics and Management, 2(3-4), 246-266.
Jung, S., Chang, T. W., Sim, E., & Park, J. (2005). Vendor managed inventory and its effect in the supply chain. In Systems Modeling and Simulation: Theory and Applications: Third Asian Simulation Conference, AsianSim 2004, Jeju Island, Korea, October 4-6, 2004, Revised Selected Papers 3 (pp. 545-552). Springer Berlin Heidelberg.
Khan, M., Hussain, M., & Saber, H. M. (2016). Information sharing in a sustainable supply chain, International Journal of Production Economics, 181, 208-214.
Kelton, W. D., Sadowski, R. P., & Zupick, N. B. (2013), Simulation with Arena (6 ed.),
McGraw Hill Education, New York, USA.
Lotfi, Z., Mukhtar, M., Sahran, S., & Zadeh, A. T. (2013). Information sharing in supply chain management, Procedia Technology, 11, 298-304.
Liu, R., Kumar, A., & Stenger, A. J. (2006). Simulation results for supply chain configurations based on information sharing, In Proceedings of the 2006 Winter Simulation Conference (pp. 627-635). IEEE.
Metternich, J., Müller, M., Meudt, T., & Schaede, C. (2022). Lean 4.0–zwischen Widerspruch und Vision, Zeitschrift für wirtschaftlichen Fabrikbetrieb, 112(5), 346-348.
Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments. John Wiley & Sons, New York, USA.
Montgomery Douglas C. (1976), Design and Analysis of Experiments (8 ed.), John Wiley & Sons, New York, USA.
Michalak, R. (2015). Microsoft Office 365; https://products. office. com/en-us/business/explore-office-365-for-business. Technical Services Quarterly, 32(4), 449-451.
Mourtzis, D. (2011). Internet based collaboration in the manufacturing supply chain, CIRP Journal of Manufacturing Science and Technology, 4(3), 296-304.
Meudt, T., Metternich, J., & Abele, E. (2017). Value stream mapping 4.0: Holistic examination of value stream and information logistics in production, Cirp Annals, 66(1), 413-416.
Nakasumi, M. (2017). Information sharing for supply chain management based on block chain technology, In 2017 IEEE 19th Conference on Business Informatics (Vol. 1, pp. 140-149). IEEE.
Prakash, A., & Deshmukh, S. G. (2010). Horizontal collaboration in flexible supply chains: a simulation study, Journal of Studies on Manufacturing, 1(1), 54-58.
Roh, P., Kunz, A., & Wegener, K. (2019). Information stream mapping: Mapping, analysing and improving the efficiency of information streams in manufacturing value streams, CIRP Journal of Manufacturing Science and Technology, 25, 1-13.
Rhodes, J. M. (2022). Creating Business Applications with Microsoft 365: Techniques in Power Apps, Power BI, SharePoint, and Power Automate. Apress.
Singh, R. K. (2015). Modelling of critical factors for responsiveness in supply chain, Journal of Manufacturing Technology Management, 26(6), 868-888
Stein, T., & Sweat, J. (1998). Killer supply chains. Information week, 708(9), 36-46.
Simatupang, T. M., & Sridharan, R. (2002). The collaborative supply chain, The International Journal of Logistics Management, 13(1), 15-30.
Sabila, A. D., Mustafid, M., & Suryono, S. (2018). Inventory Control System by Using Vendor Managed Inventory (VMI). In E3S Web of Conferences (Vol. 31, p. 11015). EDP Sciences.
Tarn, J. M., Yen, D. C., & Beaumont, M. (2002). Exploring the rationales for ERP and SCM integration. Industrial Management & Data Systems, 102(1), 26-34.
Zelbst, P. J., Green Jr, K. W., Sower, V. E., & Baker, G. (2010). RFID utilization and information sharing: the impact on supply chain performance. Journal of Business & Industrial Marketing, 25(8), 582-589.
Zhang, C., & Zhang, C. (2007). Design and simulation of demand information sharing in a supply chain, Simulation Modelling Practice and Theory, 15(1), 32-46.