Component scheduling for chip shooter machines: A hybrid genetic algorithm approach.

DOI10.1016/S0305-0548(02)00129-6zbMath1105.90317MaRDI QIDQ1422375

William Ho, Ping Ji

Publication date: 14 February 2004

Published in: Computers \& Operations Research (Search for Journal in Brave)

zbMATH Keywords

manufacturingGenetic algorithmsHeuristicsChip shooter machinesComponent schedulingPrinted circuit board

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (7)

A new novel local search integer-programming-based heuristic for PCB assembly on collect-and-place machines ⋮ Construction of component tapes for radial placement machines ⋮ The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey ⋮ New genetic algorithms based approaches to continuous \(p\)-median problem ⋮ A hybrid genetic algorithm for the finite horizon economic lot and delivery scheduling in supply chains ⋮ Combining and solving sequence dependent traveling salesman and quadratic assignment problems in PCB assembly ⋮ An automated hybrid genetic-conjugate gradient algorithm for multimodal optimization problems

Cites Work

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• The assembly of printed circuit boards: A case with multiple machines and multiple board types
• Optimization of high-mix printed circuit card assembly using genetic algorithms
• Optimization of printed circuit board manufacturing: Integrated modeling and algorithms
• Efficient operation of a surface mounting machine with a multihead turret

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