Abstract
A scheduling and compression strategy is presented for a multiple robot assembly workcell. Based on dynamic programming, the algorithm gives an initial assembly sequence fora two-or three-robot cell with a common resource or dedicated ones. The initial assembly sequence is computed efficiently, with computational complexity of being O(log n/k) where n is the number of elements in k resources. Then the initial sequencen is further compressed towards the time-optimal assembly sequence. Precedence constraints in assembly are considered. The scheme is tested using computer simulations and some test results are presented. For the problems solved (typically involving 20 elements), the computational times were less than 5 seconds in an Apollo 300 workstation.
| Original language | British English |
|---|---|
| Pages (from-to) | 143-154 |
| Number of pages | 12 |
| Journal | Production Planning and Control |
| Volume | 9 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Jan 1998 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Assembly
- Collision avoidance
- Multiple robot assembly
- Precedent constraints
- Scheduling
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