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Using MLP networks to design a production scheduling system

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Publication:1870837
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DOI10.1016/S0305-0548(02)00044-8zbMath1026.90046MaRDI QIDQ1870837

Jingping Huang, Ling Cen, Ling Li, Shan Feng

Publication date: 14 May 2003

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


zbMATH Keywords

manufacturingartificial neural networksoperations managementmulti-layered perceptronproduction activity scheduling


Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35) Production models (90B30) Neural networks for/in biological studies, artificial life and related topics (92B20)


Related Items

Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning ⋮ ADtreesLogit model for customer churn prediction



Cites Work

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  • A production rescheduling expert simulation system
  • Technical Note—Finding Some Essential Characteristics of the Feasible Solutions for a Scheduling Problem
  • Job-shop scheduling using neural networks
  • A new adaptive neural network and heuristics hybrid approach for job-shop scheduling
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