Time Series and Machine Learning methods for Demand Forecasting: a case study of machine seller in prefabricated concrete industry-Reference-Cited by-同舟云学术

Time Series and Machine Learning methods for Demand Forecasting: a case study of machine seller in prefabricated concrete industry

Published:2023-04-27 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Management Science and Industrial Engineering
language:
Short-container-title:

Author:

Jarukajornjinda Tirawat¹^ORCID,Phumchusri Naragain¹^ORCID

Affiliation:

1. Department of Engineering, Chulalongkorn University, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603955.3604012

Reference13 articles.

1. Travis J. Berge. 2015. Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle. J. Forecast. 34: 455– 471. doi: 10.1002/for.2345. Travis J. Berge. 2015. Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle. J. Forecast. 34: 455– 471. doi: 10.1002/for.2345.

2. Mariana A. Calixto , Andreia de Abreu , and Rosane L. C . Alcântara . 2015 . Demand management: Evaluation of the process in a consumer goods company. doi:10.37610/DYO.V0I57.478 10.37610/DYO.V0I57.478 Mariana A. Calixto, Andreia de Abreu, and Rosane L. C. Alcântara. 2015. Demand management: Evaluation of the process in a consumer goods company. doi:10.37610/DYO.V0I57.478

3. Woraphon Dechadumrongchai . 2021. Improvement of demand forecasting and replenishment policy for agricultural spare parts . Chulalongkorn University . Woraphon Dechadumrongchai. 2021. Improvement of demand forecasting and replenishment policy for agricultural spare parts. Chulalongkorn University.

4. Retail forecasting: Research and practice

5. Synthesis of qualitative and quantitative approaches to long-range forecasting