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Demand Forecasting in Hybrid MTS/MTO Production Systems
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Author(s): Moeen Sammak Jalali (Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran)and S.M.T. Fatemi Ghomi (Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran)
Copyright: 2018
Volume: 5
Issue: 1
Pages: 16
Source title:
International Journal of Applied Industrial Engineering (IJAIE)
Editor(s)-in-Chief: Sadaya Kubo (Setsunan University, Japan)
DOI: 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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