Human Error : Causes and Control

3,465 TWD
會員價
3,119
English

產品說明

Human error is regularly viewed as an inevitable part of everyday life. In many cases the results of human error are harmless and correctable, but in cases where injury and death can occur, reduction of error is imperative. An integration of useful how-to-do-it information, Human Error: Causes and Control covers theories, methods, and specific techniques for controlling human error. It provides ideas, concepts, and examples from which selections can be made to fit the needs of a particular situation. Detailed, practical, and broad in scope, the book explores the field of human error, including its identification, its probable cause, and how it can be reasonably controlled or prevented. Experts in human factors, design engineering, and law, the authors explore and apply known generic principles effective in the prevention of consumer error, worker fault, managerial mistakes, and organizational blunders. They discuss errors and their effects in our increasingly complex technological society and delineate how to devise a proper framework, select workable concepts and techniques, and then implement them. Exploring widespread applications of the techniques, the book illustrates how to achieve a fully integrated, process-compatible, comprehensive, user-effective, and methodologically sound model.
Applying and extending principles that can help prevent consumer error, worker fault, managerial mistakes, and organizational blunders, Human Error: Causes and Control provides useful information on theories, methods, and specific techniques for controlling human error. It forms a how-to manual of good practice, focusing on identifying human error, its causes, and how to control or prevent it. It presents constructs that assist in optimizing human performance and to achieve higher safety goals. Human Error: Causes and Control bridges the gap and illustrates the means for achieving a comprehensive, fully integrated, process compatible, user effective, methodologically sound model.

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