The ability of a production system to complete orders on time is a critical measure of customer service. While there is typically a preferred routing for a job through the processing machines, often an alternative route is available that can be used to avoid bottleneck operations and improve due date performance. In this paper a heuristic approach is given to dynamically select routing alternatives for a set of jobs to be processed in a job shop. The approach is coupled with a job shop scheduling algorithm developed by Hodgson et al. (1998, 2000) to minimize the latest job (Lmax).
| Identifer | oai:union.ndltd.org:NCSU/oai:NCSU:etd-12162002-222211 |
| Date | 09 January 2003 |
| Creators | Davenport, Catherine Elizabeth |
| Contributors | Russell King, Kristin Thoney, Scott Schultz, Thom Hodgson |
| Publisher | NCSU |
| Source Sets | North Carolina State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://www.lib.ncsu.edu/theses/available/etd-12162002-222211/ |
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