Predictive model based on machine learning for raw material purchasing management in the retail sector.
Author:
Affiliation:
1. Facultad de Ingeniería de Sistemas de Información, Universidad Peruana de Ciencias Aplicadas, Perú
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3677454.3677456
Reference19 articles.
1. INEI. Demografía Empresarial en el Perú [Internet]. 2022 [cited 2023 Apr 8]. Available from: https://cdn.www.gob.pe/uploads/document/file/4255041/Demograf%C3%ADa%20Empresarial%20en%20el%20Per%C3%BA%20-%20IV%20trimestre%202022.pdf.pdf?v=1678846769
2. Cámara de Comercio de Lima. El comercio retail representa el 10.7% del PBI del Perú | Noticias | Agencia Peruana de Noticias Andina [Internet]. 2022 [cited 2023 Apr 30]. Available from: https://andina.pe/agencia/noticia-el-comercio-retail-representa-107-del-pbi-del-peru-765384.aspx
3. ElHafsi M, Fang J, Hamouda E. Optimal production and inventory control of multi-class mixed backorder and lost sales demand class models. Eur J Oper Res. 2021 May 16;291(1):147–61.
4. Dev NK Shankar R Qaiser FH. Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resour Conserv Recycl. 2020 Feb 1;153.
5. Kamble SS Belhadi A Gunasekaran A Ganapathy L Verma S. A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry. Technol Forecast Soc Change. 2021 Apr 1;165.
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