A Decision Model for the Robot Selection Problem Using Robust Regression
Industrial robots are increasingly used by many manufacturing firms. The number of robot manufacturers has also increased with many of these firms now offering a wide range of models. A potential user is thus faced with many options in both performance and cost. This paper proposes a decision model...
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| Veröffentlicht in: | Decision sciences 1991-07, Vol.22 (3), p.656-662 |
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| container_title | Decision sciences |
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| creator | Khouja, Moutaz Booth, David E. |
| description | Industrial robots are increasingly used by many manufacturing firms. The number of robot manufacturers has also increased with many of these firms now offering a wide range of models. A potential user is thus faced with many options in both performance and cost. This paper proposes a decision model for the robot selection problem. The proposed model uses robust regression to identify, based on manufacturers' specifications, the robots that are the better performers for a given cost. Robust regression is used because it identifies and is resistant to the effects of outlying observations, key components in the proposed model. The robots selected by the model become candidates for testing to verify manufacturers' specifications. The model is tested on a real data set and an example is presented. |
| doi_str_mv | 10.1111/j.1540-5915.1991.tb01288.x |
| format | Article |
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| identifier | ISSN: 0011-7315 |
| ispartof | Decision sciences, 1991-07, Vol.22 (3), p.656-662 |
| issn | 0011-7315 1540-5915 |
| language | eng |
| recordid | cdi_proquest_journals_198171153 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Decision Analysis Decision making models Mathematical models Operations research Production/Operations Management Regression analysis Robots Specifications Statistical Techniques |
| title | A Decision Model for the Robot Selection Problem Using Robust Regression |
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