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Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques

Asli Aksoy (Industrial Engineering Department, Faculty of Engineering and Architecture, Uludag University, Bursa, Turkey and Faculty of Social Sciences, Economics and Business Administration, University of Bamberg, Bamberg, Germany)
Nursel Öztürk (Industrial Engineering Department, Faculty of Engineering and Architecture, Uludag University, Bursa, Turkey)
Eric Sucky (Faculty of Social Sciences, Economics and Business Administration, University of Bamberg, Bamberg, Germany)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 11 March 2014

Abstract

Purpose

According to literature research and conversations with apparel manufacturers' specialists, there is not any common analytic method for demand forecasting in apparel industry and to the authors' knowledge, there is not adequate number of study in literature to forecast the demand with adaptive network-based fuzzy inference system (ANFIS) for apparel manufacturers. The purpose of this paper is constructing an effective demand forecasting system for apparel manufacturers.

Design/methodology/approach

The ANFIS is used forecasting the demand for apparel manufacturers.

Findings

The results of the proposed study showed that an ANFIS-based demand forecasting system can help apparel manufacturers to forecast demand accurately, effectively and simply.

Originality/value

ANFIS is a new technique for demand forecasting, combines the learning capability of the neural networks and the generalization capability of the fuzzy logic. In this study, the demand is forecasted in terms of apparel manufacturers by using ANFIS. The input and output criteria are determined based on apparel manufacturers' requirements and via literature research and the forecasting horizon is about one month. The study includes the real-life application of the proposed system, and the proposed system is tested by using real demand values for apparel manufacturers.

Keywords

Acknowledgements

The authors would like to thank the anonymous referees for reading the paper and offering many helpful comments.

Citation

Aksoy, A., Öztürk, N. and Sucky, E. (2014), "Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques", Journal of Modelling in Management, Vol. 9 No. 1, pp. 18-35. https://doi.org/10.1108/JM2-10-2011-0045

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited