Digital Daily Management: Transforming Data to Improvement

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.

Joachim Metternich heads the Institute for Production Management, Technology and Machine Tools (PTW) in Darmstadt, Germany. After studying industrial engineering and completing his doctorate at the TH Darmstadt, he worked for several German companies at national and international production sites during his 11 years in industry. Most recently, he was responsible for the global production system of a mechanical engineering company before returning to TU Darmstadt. His research focuses on the area of lean value streams and the use of digitalization and machine learning for the further development of lean production.

Marvin Müller is Customer Success Manager at SFM Systems GmbH, working to further develop and introduce digital daily management for industrial customers. In 2022, he completed his dissertation on text mining in digital daily management at the Institute for Production Management, Technology, and Machine Tools (PTW) at TU Darmstadt, Germany.

Christian Hertle is the founder and Managing Director of SFM Systems GmbH and is responsible for Business Development. He worked at the Institute of Production Management, Technology, and Machine Tools (PTW) at TU Darmstadt for several years on daily management and its digitalization before completing his dissertation on skills development in daily management in 2017. Since 2018, he has been supporting companies with the digitalization of their daily management at SFM Systems.

Lukas Longard (M. Sc.) has been a chief engineer and doctoral student at the Institute of Production Management, Technology, and Machine Tools (PTW) at the Technical University of Darmstadt, Germany, since 2019. His research focuses on the further development and introduction 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 digitalization and lean production.

Yuxi Wang (M. Sc.) has been a research assistant and doctoral candidate at the Institute of Production Management, Technology, and Machine Tools (PTW) at the Technical University of Darmstadt, Germany, since 2021. Her main research area is the data-based decision support system for deviation management on the shop floor.