VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/2115| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tran Quang Linh | en_US |
| dc.date.accessioned | 2026-01-08T07:20:43Z | - |
| dc.date.available | 2026-01-08T07:20:43Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/2115 | - |
| dc.description.abstract | Accurate demand forecasting is essential for supply chain efficiency, particularly in the fast-moving consumer goods (FMCG) industry, where product availability directly influences customer purchase decisions. While traditional time-series forecasting focuses on predicting aggregated demand, disaggregating forecasts to finer time horizons is crucial for tactical planning, production scheduling, and inventory management. This thesis develops a demand forecasting architecture that leverages Artificial Neural Networks (ANNs) to enhance the accuracy of demand disaggregation from higher-level forecasts (monthly/yearly) to lower-level horizons (weekly). The research includes a review of current demand planning practices and the application of deep learning in supply chain contexts, the development of an ANN-based disaggregation model, and an evaluation of its integration into production and supply chain information systems. Furthermore, the study discusses production strategies that align with the ANN-based architecture. The proposed approach aims to improve operational efficiency, reduce stock-outs, and increase supply chain reliability by optimizing forecast granularity. | en_US |
| dc.language.iso | en | en_US |
| dc.rights | https://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | Artificial Neural Networks (ANN) | en_US |
| dc.subject | Supply chain planning | en_US |
| dc.subject | Time-series forecasting | en_US |
| dc.subject | Demand disaggregation | en_US |
| dc.title | Implementation of artificial neural network for demand disaggregation to enhance demand forecasting performance in FMCG industry | en_US |
| dc.type | Thesis | en_US |
| item.fulltext | With Fulltext | - |
| item.languageiso639-1 | other | - |
| item.grantfulltext | restricted | - |
| Appears in Collections: | Global Production Engineering & Management (GPEM) | |
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| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Implementation of artificial neural network for demand disaggregation to enhance demand forecasting performance in FMCG industry.pdf | 1.86 MB | Adobe PDF |
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