Parametric factory simulation for the responsive enterprise
Simulation offers a powerful way to investigate the boundaries of what can be achieved by a manufacturing system, demonstrating the impact of schedules and policy decisions such as the placement of buffers and the size of safety stocks. Unfortunately, the construction of factory models at the necess...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2007
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| Online Access: | https://eprints.nottingham.ac.uk/3311/ |
| _version_ | 1848790999756701696 |
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| author | Farr, Richard Tannock, James Holm, Sofia |
| author_facet | Farr, Richard Tannock, James Holm, Sofia |
| author_sort | Farr, Richard |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Simulation offers a powerful way to investigate the boundaries of what can be achieved by a manufacturing system, demonstrating the impact of schedules and policy decisions such as the placement of buffers and the size of safety stocks. Unfortunately, the construction of factory models at the necessary level of detail is a time-consuming process, requiring specialist skills.
This paper describes a novel approach to the representation of logistic control within a simulated factory, and its implementation in a study of a business unit at Volvo Aero in Trollhättan, Sweden. Several innovative features were built into the model, making it possible for users who were not simulation experts to explore a broad range of scenarios. The resulting model architecture, as described in this paper, takes simulation out of the computer lab and places it in the hands of managers, as an enabler of the responsive enterprise. |
| first_indexed | 2025-11-14T18:21:32Z |
| format | Conference or Workshop Item |
| id | nottingham-3311 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:21:32Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-33112020-05-04T20:28:48Z https://eprints.nottingham.ac.uk/3311/ Parametric factory simulation for the responsive enterprise Farr, Richard Tannock, James Holm, Sofia Simulation offers a powerful way to investigate the boundaries of what can be achieved by a manufacturing system, demonstrating the impact of schedules and policy decisions such as the placement of buffers and the size of safety stocks. Unfortunately, the construction of factory models at the necessary level of detail is a time-consuming process, requiring specialist skills. This paper describes a novel approach to the representation of logistic control within a simulated factory, and its implementation in a study of a business unit at Volvo Aero in Trollhättan, Sweden. Several innovative features were built into the model, making it possible for users who were not simulation experts to explore a broad range of scenarios. The resulting model architecture, as described in this paper, takes simulation out of the computer lab and places it in the hands of managers, as an enabler of the responsive enterprise. 2007 Conference or Workshop Item PeerReviewed Farr, Richard, Tannock, James and Holm, Sofia (2007) Parametric factory simulation for the responsive enterprise. In: 4th International Conference on Responsive Manufacturing (ICRM 2007), 17–19 Sept 2007, University of Nottingham. Parametric simulation logistic control kanban aerospace |
| spellingShingle | Parametric simulation logistic control kanban aerospace Farr, Richard Tannock, James Holm, Sofia Parametric factory simulation for the responsive enterprise |
| title | Parametric factory simulation for the responsive enterprise |
| title_full | Parametric factory simulation for the responsive enterprise |
| title_fullStr | Parametric factory simulation for the responsive enterprise |
| title_full_unstemmed | Parametric factory simulation for the responsive enterprise |
| title_short | Parametric factory simulation for the responsive enterprise |
| title_sort | parametric factory simulation for the responsive enterprise |
| topic | Parametric simulation logistic control kanban aerospace |
| url | https://eprints.nottingham.ac.uk/3311/ |