Abstract
Sales of new products peak after their release, then suddenly decline after the sales peak. This trend of sales has resulted in much waste and opportunity loss. In this study, the NM forecasting model is modified with the clustering grouping approach in addition to the original expert knowledge-based approach. As a case study, the proposed model is applied to a Japanese publishing sales case and showed better performance. This method was verified to reduce the return goods ratio through the real-time simulation of Japanese publishers’ cases.
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References
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Kenji Tanaka, A Sales Forecasting Model for New-released and Non-linear Sales Trend Products, the Journal of Expert System with Applications, 2010, ESWA4632, Volume 37, Issue 11, pp. 7387-7393
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© 2011 Springer-Verlag London Limited
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Tanaka, K., Miyamura, Y., Zhang, J. (2011). The Cluster Grouping Approach of NM Forecasting Model for Book Publishing. In: Frey, D., Fukuda, S., Rock, G. (eds) Improving Complex Systems Today. Advanced Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-799-0_27
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DOI: https://doi.org/10.1007/978-0-85729-799-0_27
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Publisher Name: Springer, London
Print ISBN: 978-0-85729-798-3
Online ISBN: 978-0-85729-799-0
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