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This book presents a comprehensive overview of the principles and practices of decision-making. It highlights the interface between engineering/technology and the organizational, administrative, and planning abilities of decision-making. The chapters address decision-making using real-world case studies. They also discuss decision-making theory as well as relevant analysis techniques. The book blends computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support the analysis of multi-criteria decision-making problems with defined constraints and requirements.

Decision making.

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Decision making.

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Turbulence is not new to the business world. In fact, turbulence is increasing and managers are seeing teams spinning their wheels. Management systems are in a state of crisis and operations are more complex. The old top-down operations mode no longer suffices. Today⁰́₉s businesses demand speed and increased accuracy, forcing everyone to re-evaluate chains of command and tear down the walls between functions. Amid the responsibilities of traditional management lies problem solving. The push is toward moving decision-making authority down the ladder to all levels. Managers are no longer equipped to or capable of making the number and variety of necessary decisions in a vacuum. The current mode is to have employees deal directly with workplace issues and take corrective action without complaint and without management involvement. Coping with this reality and preparation for these improvements in workplace problem solving requires interest and motivation. Strategic Decision Making for Successful Planning can facilitate this by demystifying and simplifying the process. The book bridges philosophy and theory and puts together a practical integration of all the tools necessary to get results from your investment of time, energy, and money. What is unique about this book is while it⁰́₉s based on a strong academic foundation, it does not get bogged down in the human-planning or psychological process of solving problems. It doesn⁰́₉t provide ⁰́₈pie-in-the-sky⁰́₉ creative solutions or a five-year process for solving problems and planning for the future. Numerous techniques and tools are include to make the book the right balance between practical and academic. Includes an extensive case study to illustrate points made in the text.

Decision making.

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In einem von hoher Dynamik geprägten Umfeld operieren produzierende Unternehmen im ständigen Wettbewerb. Die Unternehmen erhoffen sich von Projekten zur Digitalisierung in der Produktion notwendige Effizienzgewinne. Der Verlauf solcher Projekte lässt sich von der ersten Projektidee bis hin zur Umsetzung und Kontrolle der Zielerreichung als Entscheidungsprozess beschreiben. Doch verlaufen solche Projekte selten optimal. Vielmehr bringen herausfordernde Entscheidungssituationen zahlreiche Hindernisse mit sich. Diese Hindernisse müssen im Sinne einer verbesserten Entscheidungsqualität auf strukturierte Weise aufgelöst werden. Mit gängigen Ansätzen, zum Beispiel aus dem Bereich des Projektmanagements, ist das nicht auf angemessene Weise möglich. Das Konzept zur Entwicklung und Priorisierung von Handlungsempfehlungen greift diese Problemstellung auf und zeigt aus der Perspektive der angewandten Wissenschaft, wie die Entscheidungsqualität bei Digitalisierungsprojekten verbessert werden kann.

Decision making.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents a comprehensive overview of the principles and practices of decision-making. It highlights the interface between engineering/technology and the organizational, administrative, and planning abilities of decision-making. The chapters address decision-making using real-world case studies. They also discuss decision-making theory as well as relevant analysis techniques. The book blends computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support the analysis of multi-criteria decision-making problems with defined constraints and requirements.

Decision making.