Modelling and Simulation of Customer-Manufacturer Interactions in a Labour Intensive Manufacturing Environment (1998)

by MA Rodrigues, L Bottaci
Venue:17th Int Conf Modelling, Identification and Control, Grindelwald
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Learning and Diagnosis in Manufacturing Processes Through an Executable Bayesian

by M. A. Rodrigues, Y. Liu, L. Bottaci, D. I. Rigas - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-2000
"... Abstract. In this paper we present a novel approach to modelling a manufacturing process that allows one to learn about causal mechanisms of manufacturing defects through a Process Modelling and Executable Bayesian Network (PMEBN). The method combines probabilistic reasoning with time dependent para ..."
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Abstract. In this paper we present a novel approach to modelling a manufacturing process that allows one to learn about causal mechanisms of manufacturing defects through a Process Modelling and Executable Bayesian Network (PMEBN). The method combines probabilistic reasoning with time dependent parameters which are of crucial interest to quality control in manufacturing environments. We demonstrate the concept through a case study of a caravan manufacturing line using inspection data. 1