Quality risk analysis at sampling stations crossed by one monitored product and an unmonitored flow
Pages 3672 - 3683
Abstract
When inspection economies are implemented in multi-product, multi-stage, parallel processing manufacturing systems, there exists a significant risk of losing control of the monitoring efficacy of the sampling strategy adopted. For a product-based sampling decision limited to a particular station in a production segment, the randomness of the departure process and the merging of different product flows at the machines of the different stations subvert the regularity of deterministic sampling. The risk of not regularly monitoring any machine in the segment can be measured in terms of maximum number of consecutive unsampled items. In this study, the distribution of this measure at sampling station machines is developed for a production scenario characterized by one monitored product and an unmonitored flow and compared with the behavior of the same measure at non-sampling station machines. The prediction models illustrated prove fundamental pragmatic tools for quality management involved in sampling strategy-related decisions.
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- Quality risk analysis at sampling stations crossed by one monitored product and an unmonitored flow
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December 2013
4386 pages
ISBN:9781479920778
- General Chair:
- Raymond R. Hill,
- Program Chair:
- Michael E. Kuhl
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- IIE: Institute of Industrial Engineers
- INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
- ASA: American Statistical Association
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- SCS: Society for Modeling and Simulation International
- ASIM: Arbeitsgemeinschaft Simulation
- IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
- NIST: National Institute of Standards & Technology
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IEEE Press
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Published: 08 December 2013
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