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Operational Leadership Using Quantitative Decision Making
This book focuses on analytical and quantitative methods that align improvement opportunities with organizational goals and metrics. The book describes a framework that starts with developing a holistic view of an organization and then defining the organization’s goals, objectives, decision criteria, and metrics to result in meaningful measures for process, project, and product investment decisions. The author describes how to utilize decision-making tools, analytical methods, and optimization techniques to enhance the objectivity and robustness of the readers’ decisions. This framework supports the use of these tools and enables readers to make decisions that drive bottom-line performance. Aspects of this approach have been used in corporate, military, and government agencies to drive the efficient use of available resources.
Solving Organizational Problems
Everyone knows how to solve problems. But persistent problems, such as low-morale, reduced productivity, or a gradual reduction in business metrics, can often seem insurmountable. Chris Christensen, a recognized management authority, provides a proven, straightforward approach to permanently resolve the most difficult and complicated problems that plague organizations. Follow the seven-step process detailed in How to Solve Persistent Problems and ensure that those difficult, recurring, and often debilitating problems that plague your organization get, and stay, solved.
Strategic Planning and New Product Development
In Strategic Planning and New Product Development , world-class decision support experts Frank A. Tillman and Deandra T. Cassone present a complete corporate strategic planning model for selecting new products: a model that can be used to systematically manage and evaluate business and/or new product opportunities from conception to commercialization. Tillman and Cassone's model captures input on goals and objectives from all levels of the organization, translates these goals and objectives into clear decision criteria, and generates metrics that can be used to measure the success of any decision. It tracks developmental progress of current and/or new business and product opportunities; help...
A Professional's Guide to Problem Solving with Decision Science
Drawing on vast experience, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and process modeling techniques together to create a robust analytical framework for better decision making. They integrate both new and time-tested techniques into a logical structured approach for assessing issues, developing solutions and making decisions that drive the successful achievement of business goals. This book integrates new and existing methods to provide a comprehensive and holistic approach for assessing company performance and identifying areas for corporate improvement efforts. The goal is to get people to think of the big picture, understand the...
Leadership Concepts for the Engineering Mindset
The book is intended to focus the engineer or technically minded individual on key aspects of their organization and how they can leverage their position to make a positive impact. The author explains why it is critical that the technically minded individual is aware of their corporate environment and how they and their organization fit within the organizational structure. Technical knowledge is just one component of success for engineers. The book provides readers with the tools to understand where they fit in with their organizations and what they can do to support corporate objectives. This book will address topics including gaining a big picture of an organization, defining what a specific organization does, understanding goals and objectives to align management strategies, budgeting, role in the supply chain, engineering career paths, and the importance of innovation.
A Professional's Guide to Decision Science and Problem Solving
A Professional's Guide to Decision Science and Problem Solving provides an integrated, start-to-finish framework for more effective problem solving and decision making in corporations. Drawing on vast experience in the field, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and processing modeling techniques together to create a robust analytical framework for better decision making in any field, especially those that rely on advanced operations management. They integrate both newly-developed and time-tested techniques into a logical, structured approach for assessing corporate issues, developing solutions, and making decisions that drive t...
