Arnd Huchzermeier

Christoph H. Loch

Luk N. van Wassenhove

Ludo van der Heyden

Cedric Escalle

What does "excellent manufacturing management" mean? Management texts to date have emphasized that it is, above methods such as SPC or TQM, a matter of "intangibles" and "culture". This book takes the myth out of management excellence; it can be learned and practiced. First, manage the three core processes, strategy deployment, product and process development, and the supply chain. And secondly, pay attention to the dimension of management quality, direction setting, integration and delegation, communication, participation, measurement, and employee development. This book explains management quality and demonstrates how it is implemented, with ten plant tours through world-class factories from different industries.

Management Quality in Manufacturing

Industrial Excellence

Christian Terwiesch

Arnoud de Meyer

Preliminary information, interdependence and task concurrency in product development

Arnoud DeMeyer

Michael Pich

Managing the Unknown offers a new way of looking at the problem of managing projects in novel and unknown environments. From Europe's leading business school, this book shows how to manage two fundamental approaches that, in combination, offer the possibility of coping with unforeseen influences that inevitably arise in novel projects: * Trial-and-Error Learning allows for redefining the plan and the project as the project unfolds * Selectionism pursues multiple, independent trials in order to pick the best one at the end Managing the Unknown offers expert guidelines to the specific project mindsets, infrastructures, and management methods required to use these project management approaches and achieve success in spite of unforeseen obstacles. This book equips readers with: * Causal explanations of why unforeseeable factors in novel projects make traditional project planning and project risk management insufficient * Directly applicable management tools that help managers to guide novel and high-uncertainty projects * Real-world case studies of both successful and unsuccessful approaches to managing high uncertainty in novel projects

A New Approach to Managing High Uncertainty and Risk in Projects

Managing the Unknown

Stylianos Kavadias

Project Selection Under Uncertainty is the result of a five-year research program on the selection of projects in New Product Development (NPD). Choosing the New Product Development portfolio is of critical importance in today's business environment. The NPD portfolio has considerable strategic effect on the "middle term" success of a business. This book takes a step in developing a theory that addresses the need for quantitative prioritization criteria within the broader strategic context of the R&D portfolios. Its foundation lies in mathematical theory of resource-constrained optimization with the goal to maximize quantitative returns. The book seeks to broaden the portfolio discussion in two ways. First, simplified models - appropriate for the data-poor NPD context - are developed, which attempt to illuminate the structure of the choice problem and robust qualitative rules of thumb, rather than detailed algorithmic decision support. Such robust rules can be applied in the R&D environment of poor data availability. Second, the annual portfolio review is not the only important choice in resource allocation. In addition, the book discusses how ideas might be pre-screened as they emerge, and how projects should be prioritized once they are funded and ongoing.

Dynamically Allocating Resources to Maximize Value

Project Selection Under Uncertainty

Christoph H. Loch

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