Service 4.0: Technology-Enabled Customer-Centric Supply Chains
Kang, Parminder Singh, Wang, Xiaojia, Son, Joong Y.
- 出版商: Springer
- 出版日期: 2024-08-03
- 售價: $2,110
- 貴賓價: 9.5 折 $2,005
- 語言: 英文
- 頁數: 78
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031638743
- ISBN-13: 9783031638749
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商品描述
This book presents a systematic framework for Service 4.0, including service digitization, digitalization, and digital transformation, which is an integral part of Supply Chain 4.0 in coping with complex, dynamic, and interdependent systems.
It provides a comprehensive state-of-the-art review of digital technologies to support Service 4.0 and Supply Chain 4.0, and discusses important pillars of customer-centric supply chain models. It then explains the role of big data in customer-centric service-based supply chains and links the different types of data needed to promote end-to-end transparency and value co-creation activities to promote these key pillars. Moreover, the book introduces practical models to support analytics for customer-centric supply chains and sheds light on how the industry practically uses existing models to promote service co-creation. A chapter of a case study on women's clothing e-commerce reviews and demonstrates how various data visualization and text mining methods can be used to uncover meaningful insights within the review data.
The book is intended to help students and researchers quickly navigate through various technologies and future research directions in the areas of Service 4.0 and Supply Chain 4.0. It is also a valuable read for practitioners in this field.
商品描述(中文翻譯)
本書提出了一個系統性的框架，針對服務4.0，包括服務數位化、數位轉型，這是應對複雜、動態和相互依賴系統的供應鏈4.0的重要組成部分。
本書提供了對支持服務4.0和供應鏈4.0的數位技術的全面前沿回顧，並討論了以客戶為中心的供應鏈模型的重要支柱。接著，書中解釋了大數據在以客戶為中心的服務型供應鏈中的角色，並連結了促進端到端透明度和價值共創活動所需的不同類型數據，以支持這些關鍵支柱。此外，本書介紹了支持以客戶為中心的供應鏈分析的實用模型，並闡明了行業如何實際使用現有模型來促進服務共創。一章關於女性服裝電子商務的案例研究回顧並展示了如何使用各種數據視覺化和文本挖掘方法來揭示評價數據中的有意義見解。
本書旨在幫助學生和研究人員快速了解服務4.0和供應鏈4.0領域中的各種技術和未來研究方向。對於該領域的從業者來說，這也是一本有價值的讀物。
作者簡介
Dr. Parminder Singh Kang is an Associate Professor of Supply Chain Management at the Department of Decision Sciences, MacEwan University, Canada. He also serves as an Honorary Senior Visiting Research Fellow at the School of Engineering and Sustainable Development, De Montfort University, UK. Dr. Kang's research is characterized by its cross-disciplinary approach, aimed at enhancing supply chain and operational efficiencies. His work integrates advanced methodologies, including big data analytics, artificial intelligence and machine learning (AI/ML), evolutionary algorithms, and combinatorial optimization. He also focuses on simulation modeling, Lean/Six Sigma principles, and autonomous decision-making to drive improvements in both industrial and service processes, as well as in operations and supply chain optimization.
Dr. Xiaojia (Sunny) Wang is an Assistant Professor of Management Science and Operations Management at the Department of Decision Sciences, MacEwan University, Canada. She teaches courses in supply chain management, supply chain resource planning, transportation management, operations management and business statistics. Her research focuses on applying operations management principles to enhance business practices and examines how various business practices shape the operational performance of both focal firms and their supply chains. Dr. Wang also serves as an editorial board member for the International Journal of Applied Management Sciences.
Dr. Joong Y. Son is an Associate Professor of Supply Chain Management at the Department of Decision Sciences, MacEwan University, Canada. He teaches courses in global supply chain management, supply chain risk management, management science, inventory management and operations management. His areas of research interest include supply chain coordination and incentive issues, supply chain risk management, information visibility in supply chain and simulation modelling. His research has appeared in numerous peer-reviewed academic journals and conference proceedings.
Dr. Mohsin Jat is a faculty member in the supply chain management group at Bob Gaglardi School of Business & Economics, Thompson Rivers University, Canada. His research has focused on servitization, emergency logistics, energy supply chains, and supply chain risk management in the global context. He teaches courses on supply chain management, information systems, statistics, and quantitative modeling.
作者簡介(中文翻譯)
Dr. Parminder Singh Kang 是加拿大 MacEwan University 決策科學系的供應鏈管理副教授。他同時擔任英國 De Montfort University 工程與可持續發展學院的榮譽高級訪問研究員。Kang 博士的研究以跨學科的方法為特徵，旨在提升供應鏈和運營效率。他的工作整合了先進的方法論，包括大數據分析、人工智慧與機器學習 (AI/ML)、進化演算法和組合優化。他還專注於模擬建模、精益/六西格瑪原則以及自主決策，以推動工業和服務流程的改進，以及運營和供應鏈的優化。
Dr. Xiaojia (Sunny) Wang 是加拿大 MacEwan University 決策科學系的管理科學與運營管理助理教授。她教授供應鏈管理、供應鏈資源規劃、運輸管理、運營管理和商業統計等課程。她的研究專注於應用運營管理原則來提升商業實踐，並探討各種商業實踐如何影響焦點企業及其供應鏈的運營績效。Wang 博士同時擔任《國際應用管理科學期刊》的編輯委員會成員。
Dr. Joong Y. Son 是加拿大 MacEwan University 決策科學系的供應鏈管理副教授。他教授全球供應鏈管理、供應鏈風險管理、管理科學、庫存管理和運營管理等課程。他的研究興趣包括供應鏈協調與激勵問題、供應鏈風險管理、供應鏈中的信息可見性和模擬建模。他的研究成果已發表於多本經過同行評審的學術期刊和會議論文集中。
Dr. Mohsin Jat 是加拿大 Thompson Rivers University Bob Gaglardi 商學與經濟學院供應鏈管理小組的教職員。他的研究專注於服務化、緊急物流、能源供應鏈以及全球背景下的供應鏈風險管理。他教授供應鏈管理、信息系統、統計學和定量建模等課程。
