Abstract
Multi-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. IEEE.
Original language | English |
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Title of host publication | Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT |
Pages | 1331-1336 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 3 Dec 2008 |
Externally published | Yes |
Event | 4th IEEE International Conference on Management of Innovation and Technology, ICMIT - Bangkok, Thailand Duration: 21 Sept 2008 → 24 Sept 2008 |
Conference
Conference | 4th IEEE International Conference on Management of Innovation and Technology, ICMIT |
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Country/Territory | Thailand |
City | Bangkok |
Period | 21/09/08 → 24/09/08 |
Keywords
- Bayesian networks
- Multi-station manufacturing Process
- Particle swarm optimization
- Sensor breakdown
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering