Manufacturing System Lean Improvement Design Using Discrete Event Simulation
| dc.contributor.author | Salonitis, Konstantinos | |
| dc.contributor.author | Omogbai, Oleghe | |
| dc.date.accessioned | 2017-01-10T12:48:27Z | |
| dc.date.available | 2017-01-10T12:48:27Z | |
| dc.date.issued | 2017-01-02 | |
| dc.description.abstract | Lean manufacturing (LM) has been used widely in the past for the continuous improvement of existing production systems. A Lean Assessment Tool (LAT) is used for assessing the overall performance of lean practices within a system, while a Discrete Event Simulation (DES) can be used for the optimization of such systems operations. Lean improvements are typically suggested after a LAT has been deployed, but validation of such improvements is rarely carried out. In the present article a methodology is presented that uses DES to model lean practices within a manufacturing system. Lean improvement scenarios are then be simulated and investigated prior to implementation, thereby enabling a systematic design of lean improvements. | en_UK |
| dc.identifier.citation | Omogbai O, Salonitis K, Manufacturing System Lean Improvement Design Using Discrete Event Simulation, Procedia CIRP, Volume 57, 2016, Pages 195–200, Factories of the Future in the digital environment - Proceedings of the 49th CIRP Conference on Manufacturing Systems, 35-27th May 2016, Stuttgart, Germany | en_UK |
| dc.identifier.issn | 2212-8271 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.procir.2016.11.034 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/11239 | |
| dc.language.iso | en | en_UK |
| dc.publisher | Elsevier | en_UK |
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| dc.subject | Lean manufacturing | en_UK |
| dc.subject | lean assessment | en_UK |
| dc.subject | discrete event simulation | en_UK |
| dc.title | Manufacturing System Lean Improvement Design Using Discrete Event Simulation | en_UK |
| dc.type | Conference paper | en_UK |