What Every Engineer Should Know About Decision Making Under Uncertainty (Hardcover)

This succinct and practical reference/text presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems-emphasizing the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. Offers new insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff. What Every Engineer Should Know About DECISION MAKING UNDER UNCERTAINTY presents new paradigms for engineering decision making covers customer-focused engineering decision making details spreadsheet simulation methods to help avoid bias and habitual behavior discusses continuous quality improvement versus business reengineering processes illustrates information value in decision making during uncertainty analyzes capital budgeting discusses the accuracy of sample estimates presents practical case studies from various engineering disciplines and shows how to tailor the illustrated methods to different applications Predicting outcomes of engineering decisions through regression analysis, this reference will benefit mechanical, civil, electrical and electronics, materials, chemical, mineral, cost, quality, reliability, industrial, product development, safety, forensic, and consulting engineers; architects; engineering managers; and project and program managers; and is an essential text for upper-level undergraduate, graduate, and continuing-education students in these disciplines.

General

Imprint:	Crc Press
Country of origin:	United States
Release date:	July 2002
First published:	2002
Authors:	John X. Wang
Dimensions:	229 x 152 x 22mm (L x W x T)
Format:	Hardcover
Pages:	328
ISBN-13:	978-0-8247-0808-5
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Reference & Interdisciplinary > Communication studies > Decision theory > General Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
LSN:	0-8247-0808-3
Barcode:	9780824708085

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