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Demand Forecasting in Hybrid MTS/MTO Production Systems

Demand Forecasting in Hybrid MTS/MTO Production Systems

Moeen Sammak Jalali, S.M.T. Fatemi Ghomi
Copyright: © 2018 |Volume: 5 |Issue: 1 |Pages: 16
ISSN: 2155-4153|EISSN: 2155-4161|EISBN13: 9781522546191|DOI: 10.4018/IJAIE.2018010104
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MLA

Jalali, Moeen Sammak, and S.M.T. Fatemi Ghomi. "Demand Forecasting in Hybrid MTS/MTO Production Systems." IJAIE vol.5, no.1 2018: pp.63-78. http://doi.org/10.4018/IJAIE.2018010104

APA

Jalali, M. S. & Ghomi, S. F. (2018). Demand Forecasting in Hybrid MTS/MTO Production Systems. International Journal of Applied Industrial Engineering (IJAIE), 5(1), 63-78. http://doi.org/10.4018/IJAIE.2018010104

Chicago

Jalali, Moeen Sammak, and S.M.T. Fatemi Ghomi. "Demand Forecasting in Hybrid MTS/MTO Production Systems," International Journal of Applied Industrial Engineering (IJAIE) 5, no.1: 63-78. http://doi.org/10.4018/IJAIE.2018010104

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Abstract

This article describes how simplifying production-planning approaches for demand responsiveness has been well recognized as an operative means of accomplishing production efficiency. To support an effective decision making in manufacturing environments, this study will focus on adopting time series analysis concepts. It will attempt to focus on bringing forward novel structures for classifications of available surveying materials, which helps companies using time series analysis within production strategies to make a logical prediction of demands in hybrid manufacturing systems. In this regard, the authors will present two different categorizing structures as efficient ways of helping practitioners and academicians to find new approaches for applying near possible future forecasts by means of time series analysis methods.

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