Engineering Economic Analysis 14th Edition – Donald G. Newnan, Ted G. Eschenbach, Jerome P. Lavelle, Neal A. Lewis
$21.52
Availability: In stock
CAUTION: You’re about to purchase a high quality copy (no missing contents), NOT a Paper Book! It can be printed, stored and read on any devices. You’ll get this copy via EMAIL within 24 after purchasing.
Engineering Economic Analysis 14th Edition – Donald G. Newnan, Ted G. Eschenbach, Jerome P. Lavelle, Neal A. Lewis
$21.52
Availability: In stock
CAUTION: You’re about to purchase a high quality copy (no missing contents), NOT a Paper Book! It can be printed, stored and read on any devices. You’ll get this copy via EMAIL within 24 after purchasing.
Book Description:
Explore the updated principles of engineering economics in “Engineering Economic Analysis 14th Edition” by Newnan, Eschenbach, Lavelle, and Lewis. Master economic evaluation and decision-making in engineering with revised practices, current data, and new technologies. Perfect for students and professionals. ISBN: 978-0190931919.
Engineering Economic Analysis 14th Edition
- Authors: Donald G. Newnan, Ted G. Eschenbach, Jerome P. Lavelle, Neal A. Lewis
- ISBN: 978-0190931919
- Edition: 14th
- Language: English
- Page Numbers: Not specified
- Publisher: Oxford University Press
- Publication Year: Not specified
“Engineering Economic Analysis” offers a comprehensive insight into the principles and techniques of engineering economics. This 14th edition, authored by Donald G. Newnan, Ted G. Eschenbach, Jerome P. Lavelle, and Neal A. Lewis, continues to provide students and professionals with sound and practical instruction in economic evaluation methodologies and decision-making in engineering projects. Updated and enhanced to reflect the latest changes in the field, the book includes current economic data and revised practice problems, incorporating new technologies and financial strategies that are pertinent in today’s market. This essential resource prepares readers to handle economic challenges in engineering and to make optimal decisions that reflect cost-effectiveness and efficiency.
