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DC Field | Value | Language |
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dc.contributor.author | Coandă, Ilie | - |
dc.date.accessioned | 2022-05-04T11:21:13Z | - |
dc.date.available | 2022-05-04T11:21:13Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://irek.ase.md:443/xmlui/handle/123456789/2072 | - |
dc.description | COANDĂ, Ilie. Automated optimization of the production plan based on the revenue trends = Optimizarea automată a planului de producere în baza trendurilor veniturilor. In: 30 years of economic reforms in the Republic of Moldova: economic progress via innovation and competitiveness [online]: The International Scientific Conference dedicated to the 30th Anniversary of the establishment of the Academy of Economic Studies of Moldova, September 24th-25th, 2021, Chisinau. Chișinău: ASEM, 2022, vol. 3, pp. 217-220. ISBN 978-9975-155-66-3. | en_US |
dc.description.abstract | This paper proposes a way to automate the development of a production plan that maximizes the company's revenue, while meeting customer requirements for different products that compete with the raw material in manufacturing and meet the constraints on available resources. Based on the trends for each product, a higher priority is given to products that offer a greater increase in total revenue. DOI: https://doi.org/10.53486/9789975155663.25; CZU: 658.5:004.451; JEL: C63, I21, I23, I25, I29. | en_US |
dc.language.iso | other | en_US |
dc.publisher | ASEM | en_US |
dc.subject | plan | en_US |
dc.subject | production | en_US |
dc.subject | priority | en_US |
dc.subject | optimization | en_US |
dc.subject | restrictions | en_US |
dc.subject | trends | en_US |
dc.subject | total | en_US |
dc.subject | revenue | en_US |
dc.title | Automated optimization of the production plan based on the revenue trends | en_US |
dc.title.alternative | Optimizarea automată a planului de producere în baza trendurilor veniturilor | en_US |
dc.type | Article | en_US |
Appears in Collections: | 2.Articole |
Files in This Item:
File | Description | Size | Format | |
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COANDĂ Ilie_Conf_September 24th-25th_ 2021_Vol_3.pdf | 493.37 kB | Adobe PDF | ![]() View/Open |
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