Analysis and design of split and merge unpaced assembly systems by metamodelling and stochastic search

DOI10.1080/00207540600564625zbMath1160.90374OpenAlexW2073045467MaRDI QIDQ5385384

Akif Asil Bulgak

Publication date: 6 May 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540600564625

zbMATH Keywords

genetic algorithmsartificial neural networksmetamodellingsplit-and-merge unpaced assembly systems

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (5)

Hybrid approach for buffer allocation in open serial production lines ⋮ Small-world optimization algorithm and its application in a sequencing problem of painted body storage in a car company ⋮ A neural network approach to performance analysis of tandem lines: the value of analytical knowledge ⋮ A new method for the placement of buffers in serial production lines ⋮ Performance of merging lines with uneven buffer capacity allocation: the effects of unreliability under different inventory-related costs

Cites Work

• Stochastic algorithms for buffer allocation in reliable production lines
• Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search
• Robust design of asynchronous flexible assembly systems
• Simulation metamodelling with neural networks: An experimental investigation
• Genetic Algorithms and the Optimal Allocation of Trials
• A three-station merge system with unreliable stations and a shared buffer

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