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Strategies and processes for identifying and resolving throughput problems in an automotive paint shop
| Content Provider | Semantic Scholar |
|---|---|
| Author | Harper, Kris R. |
| Copyright Year | 2002 |
| Abstract | Automotive and other manufacturers have made a variety of attempts to implement lean manufacturing philosophies and principles into their manufacturing operations. Of critical importance in a lean system is the ability of the personnel in the lowest levels of the organization to recognize when the manufacturing system is not meeting its functional design requirements, identify the precise location and root cause of the problem, and develop and implement a permanent solution. This thesis will investigate methods to locate, resolve, and prevent throughput problems in both an existing system and a new design, and identify the processes, metrics, and feedback that is needed to facilitate the identification and resolution of problems at the lowest possible level. This thesis references throughput improvement activities that were conducted on an internship at the Ford Motor Company Kentucky Truck Plant paint department. The thesis will examine the following areas: * Background on basic Ford paint process (value stream, flow, and operating philosophies) * Ford Production System strategy, and influences on operations in the paint shop * Throughput bottleneck identification methods in an existing manufacturing system " Functional requirements, design parameters, and performance metrics for a manufacturing system design with regard to throughput " The information, communication, and data systems that enable the feedback of critical metrics to those who can act upon them * Analysis of the Ford Production System, and how it does and does not facilitate problem identification and resolution |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dspace.mit.edu/bitstream/handle/1721.1/84320/50722800-MIT.pdf?sequence=2 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
