本研究以台灣一家中型汽車外觀零件製造企業為個案，探討該企業在全球汽車產業邁向電動化與智慧化的背景下，如何藉由數位轉型與智慧製造導入，以回應產業挑戰與市場壓力。研究透過深度訪談與系統資料分析，從生產管理、資訊整合、組織升級與公司治理四大構面切入，提出具體可行的五年轉型行動方案。
研究結果顯示，透過人工智慧（AI, Artificial Intelligence）預測模型、製造執行系統（MES, Manufacturing Execution System）、自動化設備與物聯網技術（IoT, Internet of Things）的導入，企業成功提升出貨效率與生產準確性，並降低次品率與物料浪費。組織層面則導入扁平化管理、關鍵績效指標制度（KPI, Key Performance Indicator）與數位學習平台，有效促進內部溝通與人才發展。同時，針對家族企業的接班挑戰，企業逐步導入制度化治理與永續經營觀念，轉型為以數據為基礎的決策模式。
本研究的貢獻在於建構出涵蓋「智慧製造」、「數據治理」、「組織升級」與「家族傳承」的整合性轉型藍圖，為台灣中小型汽車零件企業在產業變遷中提供具參考價值之實務建議。

This study investigates the digital transformation and adoption of smart manufacturing in a mid-sized Taiwanese automotive exterior parts manufacturer. Against the backdrop of global trends toward electrification and intelligence in the automotive industry, the company has proactively introduced digital tools and smart technologies to respond to industrial challenges and market pressures.
Using in-depth interviews and systematic data analysis, this research addresses four key dimensions: production management, information integration, organizational upgrading, and corporate governance. Based on these dimensions, a practical and feasible five-year transformation action plan is proposed.
The findings reveal that the integration of AI-based forecasting models, MES systems, automation equipment, and IoT technologies has significantly enhanced shipping efficiency and production accuracy while reducing defect rates and material waste. At the organizational level, the introduction of flat management structures, KPI-driven performance evaluation, and digital learning platforms has effectively improved internal communication and talent development. Moreover, in response to the succession challenges common in family-run enterprises, the company has gradually adopted institutionalized governance and sustainability principles, transitioning to a data-driven decision-making approach.
The key contribution of this study is the development of a comprehensive transformation blueprint that integrates smart manufacturing, data governance, organizational advancement, and family succession planning. It offers practical insights for small and medium-sized enterprises in Taiwan’s automotive parts industry undergoing similar industrial transitions.

中文部分:
經濟日報，(2024)。汽車產業鏈啟動轉型拚晉升兆元產業。取自：https://money.udn.com/money/story/5612/8269017
台灣區車輛工業同業公會，(2024)。台灣汽車產業概況。取自：https://www.ttvma.org.tw/industry
英文部分:
Akabot, (2024), Automation & digital transformation in the Taiwanese business community in 2024, from: https://akabot.com/additional-resources/blog/automation-digital-transformation-in-the-taiwanese-business-community-in-2024
Digitimes, (2024), Taiwan dominates global automotive aftermarket parts supply, from: https://www.digitimes.com/news/a20241210PD201/automotive-aftermarket-digitimes-taiwan-2024.html
Industrial Automation India, (2024), Taiwan’s auto parts industry growth driven by adaptable manufacturing and competitive pricing in US market, from: https://industrialautomationindia.in/news/taiwan-auto-parts-industry-growth-adaptable-manufacturing-competitive-pricing-us-market
Spherical Insights, (2024), Global Automotive Industry Market Size To Exceed USD 6,861.45 Billion By 2033, CAGR Of 6.77%, GlobeNewswir, from: https://www.globenewswire.com/news-release/2024/03/14/2846022/0/en/Global-Automotive-Industry-Market-Size-To-Exceed-USD-6-861-45-Billion-By-2033-CAGR-Of-6-77.html
Taiwan News, (2024), Auto parts and components market in Asia-Pacific to reach USD 79.13 billion by 2030, from: https://www.taiwannews.com.tw/en/news/6078950
The Business Research Company, (2025), Automotive aftermarket global market report 2025,from:https://www.thebusinessresearchcompany.com/report/automotive-aftermarket-global-market-report?utm_source=chatgpt.com