Decision Models for Robot Selection: A Comparison of Ordinary Least Squares and Linear Goal Programming Methods

Volume: 20, Issue: 1, Pages: 40 - 53
Published: Mar 1, 1989
Abstract
The profusion of robot designs, the cost of testing, and the fact that robot operational parameter maximums are often mutually exclusive are factors that create a complex selection decision for the potential user. While formal robot testing standards are now in place, formal techniques to select robots for the testing process have not been addressed. A linear goal programming model is an effective tool for the decision maker for optimizing the...
Paper Details
Title
Decision Models for Robot Selection: A Comparison of Ordinary Least Squares and Linear Goal Programming Methods
Published Date
Mar 1, 1989
Volume
20
Issue
1
Pages
40 - 53
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