Scheduling in a High-Mix Low-Volume Job Shop
Name
holmes-nholmes8-mba-mgt-2024-thesis-unsigned.pdf
Description
Thesis PDF
Size
7.3 MB
Format
Adobe PDF
Checksum (MD5)
2ee59529e3f1f526932f289fe7828a01
Author(s)
Holmes, Nicholas J.
Advisor(s)
Frey, Daniel
Carrier, John
Date Issued
May 2024
Publisher
Massachusetts Institute of Technology
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
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In Copyright - Educational Use Permitted
Copyright retained by author(s)
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