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市場調查報告書
商品編碼
1457916
供應鏈自動化成長機會Growth Opportunities in Supply Chain Automation |
數位化演進解鎖供應鏈彈性成長策略
最近的全球危機,包括新冠肺炎 (COVID-19) 大流行、地緣政治不穩定以及全球暖化的威脅,暴露了對穩健、抗風險供應鏈營運的需求。這些因素使得建立有彈性的供應鏈生態系統成為策略當務之急。自動化提高了供應鏈的可見性、促進協作並開啟新的成長機會。該研究探討了推動供應鏈自動化需求的四個主要情境(地緣政治衝突、不可預見的危機、氣候變遷和動態供應鏈模型),並探討了企業應對未來不可預見的危機所需的方式。為了減輕這些潛在威脅,企業正在使用人工智慧/機器學習進行預測智慧,使用物聯網進行即時監控,使用區塊鏈實現安全性和透明度,以及使用邊緣運算進行快速資料傳輸,我們正在擴大探索數位雙胞胎等先進技術的應用。我們還將討論新的經營模式,例如冷鏈即服務、近岸服務、供應鏈自動化解決方案以及提供整合服務以提高供應鏈效率的技術供應商。對經濟彈性的需求、不斷變化的消費者偏好和環境影響正在推動供應鏈和物流管理的模式轉移。技術整合是定義供應鏈生態系統未來競爭格局的關鍵。
Digital Evolution Unlocking Growth Strategies for Supply Chain Resilience
Recent global crises, including the COVID-19 pandemic, geopolitical unrest, and the threat posed by global warming, have exposed the need for robust and risk-proof supply chain operations. These factors make building a resilient supply chain ecosystem a strategic imperative. Automation enhances supply chain visibility, promotes collaboration, and opens up new growth opportunities. This study explores the 4 main scenarios-geopolitical conflicts, unforeseen crises, climate change, and dynamic supply chain models-triggering the need for supply chain automation and outlines strategies businesses require to navigate unanticipated crises in the future. To mitigate these potential threats, organizations increasingly explore the application of advanced technologies such as AI/ML for predictive intelligence, IoT for real-time monitoring, blockchain to ensure security and transparency, edge computing for quick data transmission, and digital twin technology for supply chain pattern simulations. Discussions cover emerging new business models, such as cold chain-as-a-service, nearshoring services, supply chain automation solutions, and technology providers offering integration services to increase supply chain efficiency. The need for economic resilience, changing consumer preferences, and environmental impact is driving a paradigm shift across supply chain and logistics management. Technological integration is key to defining the future competitive landscape of the supply chain ecosystem.