AI in Supply Chains: Perspectives from Global Thought Leaders
暫譯: 供應鏈中的人工智慧：全球思想領袖的觀點

Cohen, Maxime C., Dai, Tinglong

AI in Supply Chains: Perspectives from Global Thought Leaders
  • 出版商: Springer
  • 出版日期: 2025-12-11
  • 售價: $3,430
  • 貴賓價: 9.5 折 $3,259
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032070538
  • ISBN-13: 9783032070531
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Bringing together some of the world's foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learning, computer vision, large-language models, and generative AI in action - how they're used to refine demand forecasts, optimize inventories, and drive down costs while service levels soar. The book examines AI-driven demand forecasting and inventory optimization, which enhances the accuracy of predicting customer demand and managing inventory levels to reduce costs and improve service. It covers intelligent logistics and transportation management, and utilizing AI to optimize routing, scheduling, and fleet management, which leads to increased efficiency and sustainability. The discussion extends to procurement and supplier relationship management, where procurement processes are streamlined and supplier partnerships are strengthened through AI-driven analytics and decision-making tools. In turn, the book confronts the hard questions of ethics, data privacy, and algorithmic bias, equipping readers to harness AI's power responsibly and ethically across the entire supply chain.

These topics are vital, as they address the pressing need for supply chains to become more agile, resilient, and responsive in today's rapidly changing global market. By exploring these areas, the book aims to provide readers with a nuanced understanding of the current landscape and future directions of AI in supply chain management. The problem this book sets out to solve is the knowledge gap between the theoretical potential of AI and its practical application within supply chains around the globe. By presenting real-world examples, case studies, and expert analyses, it offers actionable insights that can be applied to enhance operational efficiency and strategic decision-making.

The book is intended for supply chain professionals, business leaders, academics, policymakers, and students seeking a better grasp of the intersection of AI and supply chain management. It serves as both a reference guide and a source of inspiration for those looking to leverage AI technologies to drive innovation and competitiveness in their organizations.

商品描述(中文翻譯)

本書匯聚了全球一些最頂尖的供應鏈思想家，展示了人工智慧（AI）如何重寫全球供應鏈管理的規則。它探討了機器學習、計算機視覺、大型語言模型和生成式AI的實際應用——這些技術如何用於精煉需求預測、優化庫存並降低成本，同時提升服務水平。本書檢視了AI驅動的需求預測和庫存優化，這增強了預測客戶需求和管理庫存水平的準確性，以降低成本並改善服務。它涵蓋了智能物流和運輸管理，利用AI來優化路徑規劃、排程和車隊管理，從而提高效率和可持續性。討論延伸至採購和供應商關係管理，通過AI驅動的分析和決策工具，簡化採購流程並加強供應商夥伴關係。本書同時面對倫理、數據隱私和算法偏見等棘手問題，幫助讀者負責任且合乎道德地利用AI的力量，貫穿整個供應鏈。

這些主題至關重要，因為它們解決了當今快速變化的全球市場中，供應鏈需要變得更加靈活、韌性和響應迅速的迫切需求。通過探索這些領域，本書旨在為讀者提供對AI在供應鏈管理中當前格局和未來方向的細緻理解。本書所要解決的問題是AI的理論潛力與其在全球供應鏈中的實際應用之間的知識差距。通過呈現現實世界的例子、案例研究和專家分析，它提供了可行的見解，這些見解可以應用於提升運營效率和戰略決策。

本書適合供應鏈專業人士、商業領袖、學者、政策制定者和希望更好理解AI與供應鏈管理交集的學生。它既是參考指南，也是尋求利用AI技術推動創新和競爭力的組織的靈感來源。

作者簡介

Tinglong Dai is the Bernard T. Ferrari Professor of Business at Johns Hopkins University, specializing in human-AI interaction, healthcare analytics, and global supply chains. He developed and teaches the core MBA course "Data Science: Artificial Intelligence" and was named one of Poets & Quants' Top 40-Under-40 Business School Professors. His work is widely featured in major media outlets and he has spoken at prestigious events including commencements at Carnegie Mellon and Johns Hopkins. Dr. Dai serves as Vice President of Marketing, Communication, and Outreach for INFORMS and holds editorial roles at leading journals. His award-winning research spans top publications in operations and management science.

Maxime C. Cohen is a Professor at McGill University, Canada and Scale AI Chair in Data Science for Retail. He directs research at the Bensadoun School of Retail Management and advises companies on AI, pricing, and retail strategy. A former Visiting Professor at Yale and Research Scientist at Google AI, Dr. Cohen has collaborated with major firms including Meta, Uber, and L'Oréal. His research spans operations, data science, and sustainability, earning over 40 awards including Poets & Quants' Top 40-Under-40 and the MSOM Young Scholar Prize. He also serves as Chief AI Officer at ELNA Medical and Scientific Director of MyOpenCourt.org.

作者簡介(中文翻譯)

丁龍·戴（Tinglong Dai）是約翰霍普金斯大學（Johns Hopkins University）商學院的伯納德·T·法拉利教授，專注於人類與人工智慧的互動、醫療分析及全球供應鏈。他開發並教授核心MBA課程「數據科學：人工智慧」（Data Science: Artificial Intelligence），並被評選為《Poets & Quants》40位40歲以下商學院教授之一。他的研究成果廣泛出現在主要媒體上，並曾在卡內基梅隆大學（Carnegie Mellon）和約翰霍普金斯大學的畢業典禮上發表演講。戴博士擔任INFORMS的市場行銷、傳播及外展副總裁，並在多本領先期刊中擔任編輯職務。他的獲獎研究涵蓋了運營與管理科學的頂尖出版物。

馬克西姆·C·科恩（Maxime C. Cohen）是加拿大麥吉爾大學（McGill University）的教授及零售數據科學的Scale AI主席。他負責班薩杜商學院（Bensadoun School of Retail Management）的研究，並為企業提供有關人工智慧、定價及零售策略的建議。科恩博士曾擔任耶魯大學的訪問教授及Google AI的研究科學家，並與Meta、Uber及L'Oréal等主要公司合作。他的研究涵蓋運營、數據科學及可持續性，獲得超過40項獎項，包括《Poets & Quants》40位40歲以下的榮譽及MSOM青年學者獎。他同時擔任ELNA Medical的首席人工智慧官及MyOpenCourt.org的科學總監。

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