Unit Hours as a Key Performance Indicator
In a complex manufacturing environment, tracking the cause of cost overruns and other issues can be challenging. At one of Boeing’s plants, a tool was built to track a key performance indicator based on labor hours. Boeing's measurement of labor hours will capture delays due to part shortages,...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139057 https://orcid.org/0000-0002-5215-5966 |
| _version_ | 1826206691217113088 |
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| author | Papa, Anthony J. |
| author2 | Whitney, Daniel |
| author_facet | Whitney, Daniel Papa, Anthony J. |
| author_sort | Papa, Anthony J. |
| collection | MIT |
| description | In a complex manufacturing environment, tracking the cause of cost overruns and other issues can be challenging. At one of Boeing’s plants, a tool was built to track a key performance indicator based on labor hours. Boeing's measurement of labor hours will capture delays due to part shortages, additional work hours required to complete rework, improper clocking, unbalanced workloads, overtime and any other delays or issues that cause work to take longer than scheduled. The tool also forms the foundation for a visual control system on the factory floor. This web-based tool is designed to improve problem solving at all levels of the organization. Using this tool, the plant’s stakeholders can effectively identify and prioritize labor overages before they accumulate, resulting in an improvement in data-driven problem finding and solving. |
| first_indexed | 2024-09-23T13:36:45Z |
| format | Thesis |
| id | mit-1721.1/139057 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:36:45Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1390572022-01-15T03:25:59Z Unit Hours as a Key Performance Indicator Papa, Anthony J. Whitney, Daniel Barnett, Arnold Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management In a complex manufacturing environment, tracking the cause of cost overruns and other issues can be challenging. At one of Boeing’s plants, a tool was built to track a key performance indicator based on labor hours. Boeing's measurement of labor hours will capture delays due to part shortages, additional work hours required to complete rework, improper clocking, unbalanced workloads, overtime and any other delays or issues that cause work to take longer than scheduled. The tool also forms the foundation for a visual control system on the factory floor. This web-based tool is designed to improve problem solving at all levels of the organization. Using this tool, the plant’s stakeholders can effectively identify and prioritize labor overages before they accumulate, resulting in an improvement in data-driven problem finding and solving. S.M. M.B.A. 2022-01-14T14:47:19Z 2022-01-14T14:47:19Z 2021-06 2021-06-10T19:13:22.407Z Thesis https://hdl.handle.net/1721.1/139057 https://orcid.org/0000-0002-5215-5966 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 | Papa, Anthony J. Unit Hours as a Key Performance Indicator |
| title | Unit Hours as a Key Performance Indicator |
| title_full | Unit Hours as a Key Performance Indicator |
| title_fullStr | Unit Hours as a Key Performance Indicator |
| title_full_unstemmed | Unit Hours as a Key Performance Indicator |
| title_short | Unit Hours as a Key Performance Indicator |
| title_sort | unit hours as a key performance indicator |
| url | https://hdl.handle.net/1721.1/139057 https://orcid.org/0000-0002-5215-5966 |
| work_keys_str_mv | AT papaanthonyj unithoursasakeyperformanceindicator |