Abstract
A highly distributed algorithm based on control engineering principles is presented in this paper in which loosely-coupled, highly autonomous part entities in heterarchically controlled manufacturing systems adjust their arrival times in order to minimize their due-date deviation. Time-scaled distributed simulation is used as an accurate real-time feedback mechanism for closed loop control. Dynamic response of the control system to bulk arrival of parts and its ability to adapt to such uncertainties by restoring performance in real-time is presented. Simulation results indicate that the algorithm reduces variance in due-date deviation at an exponential rate, making it suitable for real-time control of Just-In-Time manufacturing systems. The algorithm has been tested for several single machine cases obtained from scheduling literature and has been found to produce schedules with nearly-optimal variance in due-date deviation.
| Original language | English (US) |
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| Pages | 158-163 |
| Number of pages | 6 |
| State | Published - Dec 1 1996 |
| Event | Proceedings of the 1996 5th Industrial Engineering Research Conference - Minneapolis, MN, USA Duration: May 18 1996 → May 20 1996 |
Other
| Other | Proceedings of the 1996 5th Industrial Engineering Research Conference |
|---|---|
| City | Minneapolis, MN, USA |
| Period | 5/18/96 → 5/20/96 |
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering