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**Hybrid GA and SA dynamic set-up planning optimization.**
*(English)*
Zbl 1064.90553

Summary: Set-up planning is used to determine the set-up of a workpiece with a certain orientation and fixturing on a worktable, as well as the number and sequence of set-ups and operations performed in each set-up. This paper presents a concurrent constraint planning methodology and a hybrid genetic algorithm (GA) and simulated annealing (SA) approach for set-up planning, and re-set-up planning in a dynamic workshop environment. The proposed approach and optimization methodology analyses the precedence relationships among features to generate a precedence relationship matrix (PRM). Based on the PRM and inquiry results from a dynamic workshop resource database, the hybrid GA and SA approach, which adopts the feature-based representation, optimizes the set-up plan using six cost indices. The PRM acts as the main constraints for the set-up planning optimization. Case studies show that the hybrid GA and SA approach is able to generate optimal results as well as carry out re-set-up planning on the occurrence of workshop resource changes.

### MSC:

90B50 | Management decision making, including multiple objectives |

90C59 | Approximation methods and heuristics in mathematical programming |

90B90 | Case-oriented studies in operations research |

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\textit{S. K. Ong} et al., Int. J. Prod. Res. 40, No. 18, 4697--4719 (2002; Zbl 1064.90553)

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