Chan, F.T.S. ; Tiwari, M.K. (2008) Anticipating performance of work stations in MMPs at sensor breakdowns In: IEEE International Conference on Management of Innovation and Technolo gy, 21-24 September 2008, Bangkok, Thailand.
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Official URL: https://doi.org/10.1109/ICMIT.2008.4654564
Related URL: http://dx.doi.org/10.1109/ICMIT.2008.4654564
Abstract
lti-Station Manufacturing Processes (MMPs) occasionally encounters the problem of deviation in the attributes of the products as compared to the design specifications. Sensors are installed in the work stations to detect the sources of errors in the product dimensions. This paper identifies the problem concerned with breakdown of the sensors and proposes an approach that identifies the interdependence relations among the various sensors using Bayesian Networks. Particle Swarm Optimization technique has been used to search the Optimal Bayesian Network. This proposed strategy will aid the manufacturers to check the delay in production time and to control the quality of production at times of sensor breakdown
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Sensors; Bayesian methods; Electric breakdown; Sensor phenomena and characterization; Workstations; Particle swarm optimization; Assembly. |
| ID Code: | 139962 |
| Deposited On: | 05 Sep 2025 12:26 |
| Last Modified: | 05 Sep 2025 12:26 |
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