Digital Daily Management: Transforming Data to Improvement
暫譯: 數位日常管理：將數據轉化為改進

Metternich, Joachim, Müller, Marvin, Hertle, Christian

Digital Daily Management: Transforming Data to Improvement
  • 出版商: CRC
  • 出版日期: 2025-12-26
  • 售價: $6,420
  • 貴賓價: 9.5 折 $6,099
  • 語言: 英文
  • 頁數: 154
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041010176
  • ISBN-13: 9781041010173
  • 相關分類: 管理與領導 Management-leadership

    • 海外代購書籍(需單獨結帳)

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商品描述

Daily Management (DM) is a structured method that empowers managers and employees to establish a team-based, continuous improvement process. DM focuses on transparency by setting standards and key performance indicators, facilitating performance discussions centred on achievable goals, identifying deviations, and supporting on-site management of the plan-do-check-act cycle. Digital Daily Management takes these principles to the next level by leveraging digital solutions. This book simplifies the process, making it easy to understand and implement.

Digital Daily Management: Transforming Data to Improvement covers a pressing issue faced by production companies and provides a comprehensive roadmap for implementing efficient digital daily management. Drawing on extensive research and bolstered by a wealth of real-world examples, including four illuminating case studies from top industry players, this resource also offers valuable insights into the implications of artificial intelligence on this methodology. Readers will have access to downloadable templates that can streamline the implementation process. These resources include Excel templates for calculating return on investment, conducting a daily management audits and outlining specifications, as well as a detailed implementation guide.

Production managers, lean managers, operations managers, researchers, and students will appreciate the step-by-step instructions on how to introduce digital daily management to further strengthen an organization's problem-solving ability.

商品描述(中文翻譯)

每日管理（DM）是一種結構化的方法，旨在使經理和員工能夠建立以團隊為基礎的持續改進過程。DM專注於透明度，通過設定標準和關鍵績效指標，促進圍繞可實現目標的績效討論，識別偏差，並支持現場管理計劃-執行-檢查-行動（plan-do-check-act）循環。數位每日管理則利用數位解決方案將這些原則提升到一個新層次。本書簡化了這一過程，使其易於理解和實施。

《數位每日管理：將數據轉化為改進》涵蓋了生產公司面臨的一個緊迫問題，並提供了一個全面的路線圖，以實施高效的數位每日管理。該書基於廣泛的研究，並輔以來自頂尖行業參與者的四個啟發性案例研究，提供了對人工智慧對此方法論影響的寶貴見解。讀者將能夠獲取可下載的模板，以簡化實施過程。這些資源包括用於計算投資回報率的Excel模板、進行每日管理審核和概述規範的模板，以及詳細的實施指南。

生產經理、精益經理、運營經理、研究人員和學生將會欣賞如何逐步引入數位每日管理，以進一步加強組織的問題解決能力的指導。

作者簡介

Joachim Metternich heads the Institute for Production Management, Technology and Machine Tools (PTW) at Technical University of Darmstadt. After studying industrial engineering and completing his doctorate at the Technical University of Darmstadt. Prof. Dr.-Ing. Metternich spent 11 years working in industry for several German companies at national and international production sites. Most recently he was responsible for the global production system of a rail vehicle supplier before returning to the Technical University of Darmstadt. His research focuses on lean value streams and the use of digitalisation and machine learning to further develop lean production.

Marvin Müller is a customer success manager at SFM Systems GmbH, where he works on the development and implementation of digital daily management for industrial customers. Dr.-Ing. Müller completed his dissertation on the topic of text mining in digital daily management at the Institute of Production Management, Technology and Machine Tools (PTW) at the Technical University of Darmstadt in 2022.

Christian Hertle is managing director of SFM Systems GmbH and is responsible for Business Development. Dr. -Ing. Hertle studied at the Institute of Production Management, Technology and Machine Tools (PTW) at Technical University of Darmstadt for several years, specialising in daily management and its digitalisation for several years before he completed his dissertation on skills development in daily management in 2017.

Lukas Longard has been a senior engineer and doctoral student at the Institute for Production Management, Technology and Machine Tools (PTW) at the Technical University of Darmstadt. Dr.-Ing. Longard's research focuses on the development and implementation of data-driven approaches in digital daily management and performance management systems. As part of his work at the institute, he advises SMEs on the topics of digitalisation and lean production.

Yuxi Wang (MSc) is a research assistant and doctoral student at the Institute of Production Management, Technology and Machine Tools (PTW) at the Technical University of Darmstadt. Her main research area is data- based decision support systems for deviation management on the shop floor.

作者簡介(中文翻譯)

約阿希姆·梅特尼希是達姆施塔特工業大學生產管理、技術與機械工具研究所（PTW）的所長。在學習工業工程並完成博士學位後，梅特尼希教授在多家德國公司於國內外生產基地工作了11年。最近，他負責一個鐵路車輛供應商的全球生產系統，然後回到達姆施塔特工業大學。他的研究重點是精益價值流以及利用數位化和機器學習進一步發展精益生產。

馬文·穆勒是SFM Systems GmbH的客戶成功經理，負責為工業客戶開發和實施數位日常管理。穆勒博士於2022年在達姆施塔特工業大學生產管理、技術與機械工具研究所（PTW）完成了有關數位日常管理中的文本挖掘的論文。

克里斯蒂安·赫特爾是SFM Systems GmbH的執行董事，負責業務發展。赫特爾博士在達姆施塔特工業大學生產管理、技術與機械工具研究所（PTW）學習了幾年，專注於日常管理及其數位化，並於2017年完成了有關日常管理中技能發展的論文。

盧卡斯·朗加德是達姆施塔特工業大學生產管理、技術與機械工具研究所（PTW）的高級工程師和博士生。朗加德博士的研究重點是數據驅動的方法在數位日常管理和績效管理系統中的開發與實施。在研究所的工作中，他為中小企業提供有關數位化和精益生產的建議。

王宇熙（碩士）是達姆施塔特工業大學生產管理、技術與機械工具研究所（PTW）的研究助理和博士生。她的主要研究領域是基於數據的決策支持系統，用於車間的偏差管理。

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