A method for the concurrent design and analysis of networked manufacturing systems |
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Authors: | Jelena Milisavljevic-Syed Sesh Commuri Farrokh Mistree |
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Affiliation: | 1. The Systems Realization Laboratory, University of Oklahoma, Norman, OK, USA;2. Electrical and Biomedical Engineering, University of Nevada, Reno, NV, USA |
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Abstract: | Multistage manufacturing processes (MMPs) require multiple stations and operations. Traditionally, analysis of MMPs focused on material planning and control strategies. For a given MMP, the effect of the strategy on the volume and rate of production, ability to handle product type variability, and the effects of process variability on production rate, on-process inventory, etc., have been studied individually. Such approaches, while necessary, do not address the combined effects of MMP design choices on the final product quality. In this article, a method based on the compromise decision support problem and stream of variation model is proposed to provide a way to evaluate suitable designs for the implementation of MMPs. Using the dimensional quality of the product as a measure of quality, the proposed method is illustrated using a three-stage MMP in an automobile panel stamping process while considering the conflicting requirements of diagnosability and controllability. |
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Keywords: | Multistage manufacturing decision support tooling and sensing |
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