Scheduling in a High-Mix Low-Volume Job Shop
This research explores the intricate challenges and strategies involved in the scheduling operations of high-mix low-volume manufacturing environments. It discusses the complexities of managing diverse production requirements while optimizing resource utilization and minimizing lead times. Through a...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156004 |
| _version_ | 1826210138841677824 |
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| author | Holmes, Nicholas J. |
| author2 | Frey, Daniel |
| author_facet | Frey, Daniel Holmes, Nicholas J. |
| author_sort | Holmes, Nicholas J. |
| collection | MIT |
| description | This research explores the intricate challenges and strategies involved in the scheduling operations of high-mix low-volume manufacturing environments. It discusses the complexities of managing diverse production requirements while optimizing resource utilization and minimizing lead times. Through a thorough analysis of scheduling methodologies and use case studies, the research offers valuable insights into enhancing operational efficiency and meeting customer demands in a job shop manufacturing setting.
This project is still ongoing, as further research and implementation learnings have not been fully realized. However, the learnings and suggestions in this research can be used to achieve a more effective and efficient scheduling process in the job shop manufacturing setting. |
| first_indexed | 2024-09-23T14:44:32Z |
| format | Thesis |
| id | mit-1721.1/156004 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:44:32Z |
| publishDate | 2024 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1560042024-08-13T03:15:20Z Scheduling in a High-Mix Low-Volume Job Shop Holmes, Nicholas J. Frey, Daniel Carrier, John Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management This research explores the intricate challenges and strategies involved in the scheduling operations of high-mix low-volume manufacturing environments. It discusses the complexities of managing diverse production requirements while optimizing resource utilization and minimizing lead times. Through a thorough analysis of scheduling methodologies and use case studies, the research offers valuable insights into enhancing operational efficiency and meeting customer demands in a job shop manufacturing setting. This project is still ongoing, as further research and implementation learnings have not been fully realized. However, the learnings and suggestions in this research can be used to achieve a more effective and efficient scheduling process in the job shop manufacturing setting. S.M. M.B.A. 2024-08-12T14:14:38Z 2024-08-12T14:14:38Z 2024-05 2024-06-25T18:13:52.352Z Thesis https://hdl.handle.net/1721.1/156004 nholmes8 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Holmes, Nicholas J. Scheduling in a High-Mix Low-Volume Job Shop |
| title | Scheduling in a High-Mix Low-Volume Job Shop |
| title_full | Scheduling in a High-Mix Low-Volume Job Shop |
| title_fullStr | Scheduling in a High-Mix Low-Volume Job Shop |
| title_full_unstemmed | Scheduling in a High-Mix Low-Volume Job Shop |
| title_short | Scheduling in a High-Mix Low-Volume Job Shop |
| title_sort | scheduling in a high mix low volume job shop |
| url | https://hdl.handle.net/1721.1/156004 |
| work_keys_str_mv | AT holmesnicholasj schedulinginahighmixlowvolumejobshop |