A Professional S Guide To Decision Science And Problem Solving
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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 the successful achievement of corporate objectives. Coverage includes: defining objectives, exploring the environment; scoping problems and evaluating their importance; bringing data mining and statistical analysis to bear; solving problems and measuring the results; evaluating the results and performing sensitivity analysis, and more. The book concludes with three case study chapters that walk through the effective use of its methods, step-by-step. Representing a wide variety of corporate environments, these case studies underscore and demonstrate the method's exceptional adaptability. This book will be valuable in a wide range of industries, notably finance, pharmaceutical, healthcare, economics, and manufacturing.
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.
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.