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| Bottom-Line Automation | 
enlarge | Author: Peter G. Martin Publisher: ISA Category: Book
List Price: $55.00 Buy Used: $19.99 You Save: $35.01 (64%)
Used (6) from $19.99
Avg. Customer Rating: 1 reviews Sales Rank: 1869133
Media: Hardcover Number Of Items: 1 Pages: 174 Shipping Weight (lbs): 1.3 Dimensions (in): 10.1 x 7.1 x 0.8
ISBN: 1556177593 Dewey Decimal Number: 670.427 EAN: 9781556177590 ASIN: 1556177593
Publication Date: September 10, 2001 Availability: Usually ships in 1-2 business days Condition: 2002 Edition. Number line: 10 9 8 7 6 5 4 3 2. Pages inside are white, bright and clean. Customer Satisfaction guaranteed or your money back. 100R1
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| Editorial Reviews:
Product Description The process manufacturing business has changed dramatically in recent years. Manufacturing companies now face the challenges of a global marketplace where every part of the operation must become more efficient to enhance the bottom line. Based on the results and conclusions of an applied research project of process manufacturing operations directed by the author, Bottom-Line Automation presents an overview of over 30 years of industry trends, pointing out the strengths and pitfalls of each. The book explains how manufacturers selected automation technology suppliers for state-of-the-art technological features in their systems rather than for the improvements the technology could offer the manufacturing operation. Key findings include the fact that returns on automation investments were rarely, if ever, calculated. In fact, accounting and quality systems were not even capable of measuring the performance of process automation systems. The author explains a strategy for measuring and improving automation system performance for the ultimate goal--the bottom line, and provides case studies of how such a strategy was implemented in three process manufacturing organizations.
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| Customer Reviews:
Martin cuts straight to the real issues January 29, 2002 0 out of 1 found this review helpful
It's common sense--you can't control what you can't measure, yet process manufacturers that pride themselves on the tight quality control of their products have not applied the same principles to the control of their spending on plant automation systems. How do you measure automation investments on your bottom line? Martin offers what he calls "dynamic performance measures" and provides case studies that bring them down to earth. More detailed information on strategies for developing these performance metrics would be helpful, maybe in a follow-up book.
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