Joachim Metternich – författare

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.

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.

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.

This book presents the state of the art 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.

This book presents the state of the art 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.

This book presents the state of the art 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.