Predictive planning with neural networks.
Ainslie, Russell; McCall, John; Shakya, Sid; Owusu, Gilbert
Professor John McCall firstname.lastname@example.org
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.
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
|Conference Name||International joint conference on neural networks (IJCNN)|
|Conference Location||Vancouver, Canada|
|Start Date||Jul 24, 2016|
|End Date||Jul 29, 2016|
|Acceptance Date||Mar 15, 2016|
|Online Publication Date||Jul 24, 2016|
|Publication Date||Nov 3, 2016|
|Deposit Date||Feb 17, 2017|
|Publicly Available Date||Feb 17, 2017|
|Publisher||IEEE Institute of Electrical and Electronics Engineers|
|Keywords||Neural network; Prediction; Tactical planning|
AINSLIE 2016 Predictive planning with neural networks
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