NDLI: Are you using the right questions (when you select automation equipment)

Content Provider	IEEE Xplore Digital Library
Author	Lee, D.S.
Copyright Year	1999
Description	Author affiliation: EPM Corp., USA (Lee, D.S.)
Abstract	Using quoted price, delivery and production rate as the only criteria for choosing vendors, may well be the correct approach for many industrial purchases. However, following this same doctrine when buying automation equipment, such as coil winding and finishing machines, often leads to making selections that later prove not to be the best choice. Because all the written quote packages appear to address the same key issues, does not mean such machines are generic. They are complex products, with hundreds of details being decided primarily by the builder, not machines produced to an established, third party standard or specification. There will assuredly be significant, but not necessarily evident, differences in the offerings by the competing sales persons. Learning to ask the machine builder the right questions, to correctly identify, understand and properly evaluate the differences is the only practical solution for industry. Business cannot justify the US federal government's approach to make every individual purchase generic via an all-inclusive, comprehensive specification, nor can they afford the results of this concept such as $100 hammers and $400 toilet seats. This paper addresses the fundamental questions and issues that should be explored with potential vendors, to help buyers make better informed decisions.
Starting Page	447
Ending Page	450
File Size	352347
Page Count	4
File Format	PDF
ISBN	0780357574
ISSN	03622479
DOI	10.1109/EEIC.1999.826251
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coils Manufacturing Automation Machine windings Product design Machinery production industries Finishing Packaging machines Marketing and sales Machine learning
Content Type	Text
Resource Type	Article

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