Philosophical issues;: A contemporary introduction

Politics & Social Sciences

Tillman, Frank A.

Rachels,James

Philosophy

Joanna Cotler Books

Introductory Philosophy

Harpercollins College Div

A Professional's Guide to Decision Science and Problem Solving: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives (FT Press Operations Management)

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.

Business & Money

Cassone, Deandra T.

Management & Leadership

Ft Pr

Optimal Reliability Design is a detailed introduction to systems reliability and reliability optimization. State-of-the-art techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. Chapters cover optimization tools such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms, and their computational implementation. Many numerical examples are included, as well as over 180 homework exercises. The book is suitable as a text for graduate-level courses in reliability engineering and operations research and as a valuable reference for practicing engineers.

Optimal Reliability Design: Fundamentals and Applications

Science & Math

Kuo, Way

Hwang, Ching-Lai

Prasad, V. Rajendra

Technology

Cambridge University Press

Engineering & Transportation

Engineering

Through years of consulting, operating their own companies, and working in a number of corporate environments, the authors have developed insights into which methods work and which do not in the “real world.” The result of this experience is the development of these fundamental rules for building analysis models to solve complex corporate problems. This book describes some common-sense principles that can be used to ensure that the models and solutions that are developed meet the decision maker’s needs. These principles will help you avoid mistakes and help you develop better usable solutions.

The Seven Rules for Building Effective Analytical Models for Decisions

HTX, Incorporated

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 tools and techniques and put together the conceptual and analytical pieces to solve corporate-wide problems. The difficulty is to know when and where you should use these concepts. This book focuses on structured analysis processes that you can use to quantify, explore, and solve problems from a cross-functional perspective.
Coverage includes defining objectives; exploring the environment; scoping and prioritizing problems; applying data mining and statistical analysis; selecting the appropriate methods and tools; executing solutions; measuring and evaluating results; and more. Case study chapters walk through the effective use of the authors' framework in diverse corporate environments and demonstrate its exceptional adaptability.

Pioneering Partnerships LLC

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Books by Tillman, Frank A.