Fulfillment of retailer demand by using the mdl-optimal neural network prediction and decision policy

IEEE Transactions on Industrial Informatics

Volumn 5, Issue 4, 2009, Pages 495-506

  Ning, Andrew ^a   Lau, Henry C W ^a   Zhao, Yi ^a   Wong, T T ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Decision rules; Demand prediction; Minimum description length; Neural network

Indexed keywords

ACCURATE PREDICTION; DECISION RULES; DEMAND PREDICTION; DYNAMICAL PROPERTIES; FULL FACTORIAL; HONG-KONG; MINIMUM DESCRIPTION LENGTH; OPERATION COST; OPTIMAL NEURAL NETWORK; PREDICTION ACCURACY; RANDOM DEMAND; REPLENISHMENT POLICY; RESEARCH TEAMS; SURROGATE DATA; TIME LAG;

MATHEMATICAL MODELS; NEURAL NETWORKS; SALES; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS; TIME SERIES;

COMPETITION;

EID: 70449527473     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2009.2031433     Document Type: Article

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