A proper product demand projection is an aspect that can be decisive for the competitiveness and survival of companies. However, in most of cases, this process is carried out based on empirical knowledge of the marketing personnel generating a high level of error in the results. To solve this problem, this paper presents a production planning architecture based on demand analysis by using business intelligence architecture and analytical algorithms. The proposed architecture has been validated by means of a case study which results indicate that the effectiveness increases from 25% to more than 85%. We believe that the proposed model may be applicable in other entities.
CITATION STYLE
Mazón Quinde, I. K., Guun Yoo, S., Arroyo, R., & Raura, G. (2020). Architecture for Demand Prediction for Production Optimization: A Case Study. In Advances in Intelligent Systems and Computing (Vol. 1066, pp. 1–11). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32022-5_1
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