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Modelling manufacturing processes using Markov chains
Optimizing manufacturing processes with inaccurate models of the process will lead to unre-liable results. This can be true when there is a strong human influence on the manufacturing process and many variable aspects. This study investigates modelling a manufacturing process influenced by human int...
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| Main Authors: | , , , , , , |
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| Format: | Default Conference proceeding |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/26018 |
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| _version_ | 1818171058193170432 |
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| author | Johanna M. Leigh Lisa Jackson Sarah Dunnett Heinz Lugo Richard Sharpe Aaron Neal Andrew West |
| author_facet | Johanna M. Leigh Lisa Jackson Sarah Dunnett Heinz Lugo Richard Sharpe Aaron Neal Andrew West |
| author_sort | Johanna M. Leigh (7120706) |
| collection | Figshare |
| description | Optimizing manufacturing processes with inaccurate models of the process will lead to unre-liable results. This can be true when there is a strong human influence on the manufacturing process and many variable aspects. This study investigates modelling a manufacturing process influenced by human inter-action with very variable products being processed. To develop a more accurate process model for such pro-cesses radio frequency identification (RFID) tags can be used to track products through the process. The tags record information for each product and this data can be used to produce more accurate models of the manu-facturing process. The data produced has been used to create a Markov chain model. This model is used to predict future product paths for use in discrete event simulation. In this case an IT refurbishment company is used as a case study. RFID tags have been utilized to track the IT products moving through the refurbishment process and this information has been used to produce a Markov chain model. |
| format | Default Conference proceeding |
| id | rr-article-9220907 |
| institution | Loughborough University |
| publishDate | 2017 |
| record_format | Figshare |
| spelling | rr-article-92209072017-01-01T00:00:00Z Modelling manufacturing processes using Markov chains Johanna M. Leigh (7120706) Lisa Jackson (1250010) Sarah Dunnett (1251444) Heinz Lugo (7120781) Richard Sharpe (2881304) Aaron Neal (1256580) Andrew West (1259121) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Optimizing manufacturing processes with inaccurate models of the process will lead to unre-liable results. This can be true when there is a strong human influence on the manufacturing process and many variable aspects. This study investigates modelling a manufacturing process influenced by human inter-action with very variable products being processed. To develop a more accurate process model for such pro-cesses radio frequency identification (RFID) tags can be used to track products through the process. The tags record information for each product and this data can be used to produce more accurate models of the manu-facturing process. The data produced has been used to create a Markov chain model. This model is used to predict future product paths for use in discrete event simulation. In this case an IT refurbishment company is used as a case study. RFID tags have been utilized to track the IT products moving through the refurbishment process and this information has been used to produce a Markov chain model. 2017-01-01T00:00:00Z Text Conference contribution 2134/26018 https://figshare.com/articles/conference_contribution/Modelling_manufacturing_processes_using_Markov_chains/9220907 CC BY-NC-ND 4.0 |
| spellingShingle | Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Johanna M. Leigh Lisa Jackson Sarah Dunnett Heinz Lugo Richard Sharpe Aaron Neal Andrew West Modelling manufacturing processes using Markov chains |
| title | Modelling manufacturing processes using Markov chains |
| title_full | Modelling manufacturing processes using Markov chains |
| title_fullStr | Modelling manufacturing processes using Markov chains |
| title_full_unstemmed | Modelling manufacturing processes using Markov chains |
| title_short | Modelling manufacturing processes using Markov chains |
| title_sort | modelling manufacturing processes using markov chains |
| topic | Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified |
| url | https://hdl.handle.net/2134/26018 |