Smart Service Management: Design Guidelines and Best Practices
暫譯: 智慧服務管理：設計指導原則與最佳實踐

Maleshkova, Maria, Kühl, Niklas, Jussen, Philipp

Smart Service Management: Design Guidelines and Best Practices
  • 出版商: Springer
  • 出版日期: 2021-01-27
  • 售價: $3,750
  • 貴賓價: 9.5 折 $3,563
  • 語言: 英文
  • 頁數: 226
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030581810
  • ISBN-13: 9783030581817

    • 海外代購書籍(需單獨結帳)

商品描述

This book presents the main theoretical foundations behind smart services as well as specific guidelines and practically proven methods on how to design them. Furthermore, it gives an overview of the possible implementation architectures and shows how the designed smart services can be realized with specific technologies. Finally, it provides four specific use cases that show how smart services have been realized in practice and what impact they have within the businesses.

The first part of the book defines the basic concepts and aims to establish a shared understanding of terms, such as smart services, service systems, smart service systems or cyber-physical systems. On this basis, it provides an analysis of existing work and includes insights on how an organization incorporating smart services could enhance and adjust their management and business processes. The second part on the design of smart services elaborates on what constitutes a successful smart service and describes experiences in the area of interdisciplinary teams, strategic partnerships, the overall service systems and the common data basis. In the third part, technical reference architectures are presented in detail, encompassing topics on the design of digital twins in cyber physical systems, the communication between entities and sensors in the age of Industry 4.0 as well as data management and integration. The fourth part then highlights a number of analytical possibilities that can be realized and that can constitute or be part of smart services, including machine learning and artificial intelligence methods. Finally, the applicability of the introduced design and development method is demonstrated by considering specific real-world use cases. These include services in the industrial and mobility sector, which were developed in direct cooperation with industry partners.

The main target audience of this book is industry-focused readers, especially practitioners from industry, who are involved in supporting and managing digital business. These include professionals working in business development, product management, strategy, and development, ranging from middle management to Chief Digital Officers. It conveys all the basics needed for developing smart services and successfully placing them on the market by explaining the necessary the technical aspects as well as showcasing practical use cases.


商品描述(中文翻譯)

這本書介紹了智慧服務背後的主要理論基礎，以及設計智慧服務的具體指導方針和實證方法。此外，它還概述了可能的實施架構，並展示了如何利用特定技術實現設計的智慧服務。最後，書中提供了四個具體的使用案例，展示了智慧服務在實踐中的實現方式及其對企業的影響。

本書的第一部分定義了基本概念，旨在建立對術語的共同理解，例如智慧服務、服務系統、智慧服務系統或網路物理系統。在此基礎上，提供了對現有工作的分析，並包含了如何將智慧服務納入組織以增強和調整其管理和業務流程的見解。第二部分關於智慧服務的設計，詳細闡述了成功的智慧服務所需的要素，並描述了跨學科團隊、戰略夥伴關係、整體服務系統和共同數據基礎等領域的經驗。在第三部分中，詳細介紹了技術參考架構，涵蓋了網路物理系統中數位雙胞胎的設計、在工業4.0時代實體與感測器之間的通信，以及數據管理和整合等主題。第四部分則強調了可以實現的多種分析可能性，這些可能性可以構成或成為智慧服務的一部分，包括機器學習和人工智慧方法。最後，通過考慮具體的現實世界使用案例，展示了所介紹的設計和開發方法的適用性。這些案例包括在工業和移動領域的服務，這些服務是與行業夥伴直接合作開發的。

本書的主要目標讀者是以行業為重點的讀者，特別是參與支持和管理數位業務的行業從業者。這些讀者包括從事業務發展、產品管理、策略和開發的專業人士，涵蓋中層管理到首席數位官等職位。書中傳達了開發智慧服務所需的所有基礎知識，並通過解釋必要的技術方面以及展示實際使用案例，成功地將其推向市場。

作者簡介

Maria Maleshkova is an Assistant Professor at the Computer Science Department III of the University of Bonn. She has been working on IoT and service topics for the past 10 years, focusing on semantics-based data integration topics as well as on research in the areas of distributed applications, applied AI-methods, Web APIs and their joint use for developing innovative services. She has led the development and deployment of smart services in production companies and has a strong background in the fundamentals and technologies for implementing smart services.

Niklas Kühl is head of the Applied AI Lab of the Karlsruhe Service Research Institute (KSRI) at the Karlsruhe Institute of Technology (KIT). He has been working on service-related machine learning (ML) and artificial intelligence (AI) for the past 5 years in different domains. He and his team are working on different ML & AI service solutions within healthcare services, industrial services, sales forecasting, production lines or even creativity. Niklas is internationally collaborating in his research efforts with the University of Auckland, the Wharton School of the University of Pennsylvania and the MIT-IBM Watson AI Lab.

Philipp Jussen was responsible for the service management department at FIR at the RWTH Aachen for 4 years and was at the same time managing director for the Center Smart Services at the RWTH Aachen Campus. In addition to numerous benchmarkings and studies, he has extensive implementation and practical knowledge from consulting projects for industrial customers. Together with his team, he developed approaches to smart service engineering and smart service sales for companies in the industrial B2B sector.



作者簡介(中文翻譯)

Maria Maleshkova 是波恩大學計算機科學系 III 的助理教授。她在過去十年中一直專注於物聯網 (IoT) 和服務主題，專注於基於語義的數據整合主題，以及在分散式應用、應用人工智慧 (AI) 方法、Web API 及其聯合使用以開發創新服務領域的研究。她曾主導在生產公司中智能服務的開發和部署，並在實施智能服務的基本原理和技術方面擁有堅實的背景。

Niklas Kühl 是卡爾斯魯厄理工學院 (KIT) 卡爾斯魯厄服務研究所 (KSRI) 應用人工智慧實驗室的負責人。在過去五年中，他在不同領域從事與服務相關的機器學習 (ML) 和人工智慧 (AI) 的研究。他和他的團隊正在開發不同的 ML 和 AI 服務解決方案，涵蓋醫療服務、工業服務、銷售預測、生產線甚至創意等領域。Niklas 在他的研究工作中與奧克蘭大學、賓夕法尼亞大學沃頓商學院以及麻省理工學院-IBM Watson AI 實驗室進行國際合作。

Philipp Jussen 在亞琛工業大學 (RWTH Aachen) 的 FIR 負責服務管理部門四年，同時擔任 RWTH Aachen 校園智能服務中心的執行董事。除了進行大量的基準測試和研究外，他還擁有來自工業客戶諮詢項目的廣泛實施和實踐知識。與他的團隊一起，他為工業 B2B 部門的公司開發了智能服務工程和智能服務銷售的方法。

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