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Performance Metrics : The Levers for Process Management

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Title: Performance Metrics : The Levers for Process Management
Author: Duke Okes
ISBN: 0873898508 / 9780873898508
Format: Hard Cover
Pages: 106
Publisher: ASQ
Year: 2013
Availability: Out of Stock
     
 
  • Description
  • Contents

Which performance measures should you use? The obvious answer is that it depends on what you want to achieve, which someone else should never define for you. After all, it is your organization, your department, or your process.

But once you are clear about what you want to accomplish, how do you sort through a variety of possible metrics and decide which are best? Then, given the list of metrics you believe are useful or necessary, how do you define them in more detail to ensure that the right data are gathered at the appropriate frequency and that the resulting information gets to the right people so that they can make proper decisions?

This book provides a clarifying perspective for those who know that metrics need to be developed but are unsure as to the steps to follow in developing and deploying them. It focuses on making sure that the metrics selected will guide people and processes in the direction the organization wants to go, and allow continual evaluation of success.

Every highly effective organization is unique in some strategic way, and the metrics used should reflect these differences. Studying high performers can be useful from a learning standpoint, but simply adopting what someone else is doing is likely to take you off your track and put you on theirs. The concepts in this book will put you on the correct track and give you the tools to stay on it.

List of Figures and Tables
Preface
Acknowledgements

Chapter 1 : Process Management
Chapter 2 : Types and Functions of Metrics
Chapter 3 : Selecting the Right Metrics
Chapter 4 : Detailing Each Metric
Chapter 5 : Presenting and Using the Data
Chapter 6 : Psychological Impact of Metrics
Chapter 7 : Maintaining the Metrics

Appendix A : Basic Measurement Theory
Appendix B : Statistical Control Limits
Appendix C : Example Metrics
References and Recommended Reading
Index

 
 
 
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