Abstract
Most past approaches to job shop scheduling are either highly myopic, or they are unable to adapt effectively to the stream of unforeseen disruptions that characterizes almost all manufacturing systems. We propose a two-module scheduling system that is both robust and non-myopic. Periodically a Planning Module develops a global view of what is likely to happen in the facility over the next one to four weeks. It then passes information down to the Dispatching Module. The Dispatching Module is based on microprocessors that are located on the factory floor. Whenever a machine is about to become idle, a fast optimization algorithm is run on the closest microprocessor to decide which job should be done next. The data provided by the Planning Module allows this decision to be made in a non-myopic manner.
| Original language | English |
|---|---|
| Pages (from-to) | 149-160 |
| Number of pages | 12 |
| Journal | IIE Transactions (Institute of Industrial Engineers) |
| Volume | 23 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1991 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
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