Joachim Metternich

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 centered on achievable goals, identifying deviations, and supporting on-site management of the Plan-Do-Check-Act (PDCA) 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 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.The authors created hands-on templates for readers' digitalisation projects. Please download them from sfmsystems.de or scan the QR code in the book.

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 centered on achievable goals, identifying deviations, and supporting on-site management of the Plan-Do-Check-Act (PDCA) 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 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.The authors created hands-on templates for readers' digitalisation projects. Please download them from sfmsystems.de or scan the QR code in the book.

This book describes how material and information flows of a value stream can be synchronized with the aim of processing orders as quickly and waste-free as possible. The design of the value stream is systematically oriented toward the requirements of the respective business model. The approach described goes beyond the classic value stream method, which primarily improves material flow, and places its informational focus primarily on the release of production and transport orders. Value Stream 4.0: A Systems View of Information Flow for Digitalization focuses on the material and information flow within a product family, beginning with the receipt of customer orders through all process steps until delivery of the finished product. It illustrates how the systematic accumulation and provision of information at the right time, place, amount, and quality can enhance efficiency. Additionally, it explores how information can be leveraged to enhance customer value.This compact, yet powerful book, is written for production managers, lean managers, operations managers, researchers, and students.

This book describes how material and information flows of a value stream can be synchronized with the aim of processing orders as quickly and waste-free as possible. The design of the value stream is systematically oriented toward the requirements of the respective business model. The approach described goes beyond the classic value stream method, which primarily improves material flow, and places its informational focus primarily on the release of production and transport orders. Value Stream 4.0: A Systems View of Information Flow for Digitalization focuses on the material and information flow within a product family, beginning with the receipt of customer orders through all process steps until delivery of the finished product. It illustrates how the systematic accumulation and provision of information at the right time, place, amount, and quality can enhance efficiency. Additionally, it explores how information can be leveraged to enhance customer value.This compact, yet powerful book, is written for production managers, lean managers, operations managers, researchers, and students.

This book presents the state of the art of learning factories. It outlines the motivations, historic background, and the didactic foundations of learning factories. Definitions of the term learning factory and an updated morphological model are provided as well as a detailed overview of existing learning factory approaches in industry and academia, showing the broad range of different applications and varying contents in all continents. International learning factory best-practice examples are presented in detailed and structured manner. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Further research priorities and innovative learning factory concepts to overcome current barriers are offered. While today numerous learning factories have been built in industry (big automotive companies, pharma companies, etc.) and academia in the last decades, a comprehensive handbook forthe scientific community and practitioners alike is still missing. The book addresses therefore both researchers in production-related areas that want to conduct industry-relevant research and education, as well as managers and engineers in industry, who are searching for an effective way to train their employees. In addition to this, the learning factory concept is also regarded as an innovative learning concept in the field of didactics.

This book presents the state of the art of learning factories. It outlines the motivations, historic background, and the didactic foundations of learning factories. Definitions of the term learning factory and an updated morphological model are provided as well as a detailed overview of existing learning factory approaches in industry and academia, showing the broad range of different applications and varying contents in all continents. International learning factory best-practice examples are presented in detailed and structured manner. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Further research priorities and innovative learning factory concepts to overcome current barriers are offered. While today numerous learning factories have been built in industry (big automotive companies, pharma companies, etc.) and academia in the last decades, a comprehensive handbook forthe scientific community and practitioners alike is still missing. The book addresses therefore both researchers in production-related areas that want to conduct industry-relevant research and education, as well as managers and engineers in industry, who are searching for an effective way to train their employees. In addition to this, the learning factory concept is also regarded as an innovative learning concept in the field of didactics.

This book presents the state of the art of learning factories. It outlines the motivations, historic background, and the didactic foundations of learning factories. Definitions of the term learning factory and a corresponding morphological model are provided as well as a detailed overview of existing learning factory approaches in industry and academia, showing the broad range of different applications and varying contents. Learning factory best-practice examples are presented in detailed and structured manner. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Further research priorities and innovative learning factory concepts to overcome current barriers are offered. While today numerous learning factories have been built in industry (big automotive companies, pharma companies, etc.) and academia in the last decades, a comprehensive handbook for the scientific community and practitioners alike is still missing. The book addresses therefore both researchers in production-related areas, that want to conduct industry-relevant research and education, as well as managers and engineers in industry, who are searching for an effective way to train their employees. In addition to this, the learning factory concept is also regarded as an innovative learning concept in the field of didactics.