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Within manufacturing, Lean has lead to significant results throughout the world. But what happens when Lean meets Innovation? Is the needed creativity destroyed, or can Lean make the results of the organization even better? In Lean Innovation, Claus Sehested and Henrik Sonnenberg reveal how a managed iteration between creativity and effectiveness can ensure that the visions of top management are realized through the innovation processes. Lean can elevate the innovation processes to a new level where they become a true strategic differentiator. The authors address the key challenges facing leaders of knowledge organizations, and present a number of principles which they can use to bring more leadership into the innovation work. They also discuss methods which can increase result focus and continuous learning in the core innovation processes. The book contains specific and practical examples from five companies who started on a Lean Innovation journey. Innovation Insights from Apple, Google, Toyota, IDEO and others are also included.

Business logistics -- Management. --- Industrial efficiency. --- Lean manufacturing. --- Organizational change. --- Technological innovations --- Organizational change --- Industrial efficiency --- Manpower planning --- Management --- Business & Economics --- Management Theory --- Management Styles & Communication --- Change, Organizational --- Organization development --- Organizational development --- Organizational innovation --- Business. --- Management. --- Industrial management. --- Production management. --- Business and Management. --- Innovation/Technology Management. --- Operations Management. --- Organization

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Many new technologies – like RFID, GPS, and sensor networks – that dominate innovative developments in logistics are based on the idea of autonomous cooperation and control. This self-organisational concept describes „...processes of decentralized decision-making in heterarchical structures. It presumes interacting elements in non-deterministic systems, which possess the capability and possibility to render decisions. The objective of autonomous cooperation and control is the achievement of increased robustness and positive emergence of the total system due to distributed and flexible coping with dynamics and complexity“ (Hülsmann & Windt, 2007). In order to underlie these technology-driven developments with a fundamental theoretical foundation this edited volume asks for contributions and limitations of applying the principles of autonomous cooperation and control to logistics processes and systems. It intends to identify, describe, and explain – in the context of production and distribution logistics – the effects on performance and robustness, the enablers and impediments for the feasibility, the essential cause-effect-relations, etc. of concepts, methods, technologies, and routines of autonomous cooperation and control in logistics. Therefore, the analyses collected in this edited volume aim to develop a framework for finding the optimal degree as well as the upper and lower boundaries of autonomous cooperation and control of logistics processes from the different perspectives of production technology, electronics and communication engineering, informatics and mathematics, as well as management sciences and economics.

Business -- Innovation. --- Business logistics -- Automation. --- Business logistics -- Management. --- Business logistics --- Production management --- Civil & Environmental Engineering --- Mechanical Engineering --- Management --- Engineering & Applied Sciences --- Business & Economics --- Civil Engineering --- Management Styles & Communication --- Industrial & Management Engineering --- Automation --- Business logistics. --- Production management. --- Manufacturing management --- Supply chain management --- Engineering. --- Management. --- Industrial management. --- Control engineering. --- Robotics. --- Automation. --- Engineering economics. --- Engineering economy. --- Engineering Economics, Organization, Logistics, Marketing. --- Robotics and Automation. --- Operations Management. --- Control. --- Innovation/Technology Management. --- Industrial management --- Logistics --- Control and Systems Theory. --- Administration --- Industrial relations --- Organization --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business --- Industrial organization --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Machine theory