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Predictive planning with neural networks.

Ainslie, Russell; McCall, John; Shakya, Sid; Owusu, Gilbert

Authors

Russell Ainslie

John McCall

Sid Shakya

Gilbert Owusu



Abstract

Critical for successful operations of service industries, such as telecoms, utility companies and logistic companies, is the service chain planning process. This involves optimizing resources against expected demand to maximize the utilization and minimize the wastage, which in turn maximizes revenue whilst minimizing the cost. This is increasingly involving the automation of the planning process. However, due to unforeseen factors, the calculated optimal allocation of resources to complete tasks often does not match up with what is actually occurring on the day. This factor highlights a requirement for a method of predicting accurately the number of tasks that will be completed given a known amount of resources and demand in order to produce a more accurate plan.

Start Date Jul 24, 2016
Publication Date Nov 3, 2016
Print ISSN 2161-4393
Electronic ISSN 2161-4407
Publisher Institute of Electrical and Electronics Engineers
Pages 2110-2117
Series ISSN 2161-4407
Institution Citation AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2016. Predictive planning with neural networks. In Proceedings of the International joint conference on neural networks (IJCNN), 24-29 July 2016, Vancouver, Canada. Piscataway: IEEE [online], pages 2110-2117. Available from: https://doi.org/10.1109/IJCNN.2016.7727460
DOI https://doi.org/10.1109/IJCNN.2016.7727460
Keywords Neural network; Prediction; Tactical planning

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