Applications of neural networks in manufacturing: a state-of-the-art survey

DOI10.1080/00207549508930175zbMath0915.90143OpenAlexW2082985613MaRDI QIDQ4398939

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Publication date: 16 June 1999

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

Full work available at URL: https://doi.org/10.1080/00207549508930175

zbMATH Keywords

manufacturingneural networksartificial intelligencestate-of-the-art survey

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Production models (90B30)

Related Items (9)

Simulation metamodelling with neural networks: An experimental investigation ⋮ Augmented neural networks for task scheduling. ⋮ Sequencing jobs on a single machine: A neural network approach ⋮ A neural network approach to multiobjective and multilevel programming problems ⋮ Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search ⋮ Role of design-philosophies in interfacing manufacturing with marketing ⋮ Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences ⋮ A review of Hopfield neural networks for solving mathematical programming problems ⋮ Neural networks in business: Techniques and applications for the operations researcher

Cites Work

• A feedforward neural network for multiple criteria decision making
• A stochastic neural network for resource constrained scheduling
• A neural network system for shape-based classification and coding of rotational parts
• Machine fault classification: a neural network approach
• Scheduling for minimizing total actual flow time by neural networks

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