Developing environmental hedging point policy with variable demand : a machine learning approach
Reza Behnamfar, Seyed Mojtaba Sajadi, Mahshid Tootoonchy
| Year of publication: |
2022
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|---|---|
| Authors: | Behnamfar, Reza ; Sajadi, Seyed Mojtaba ; Tootoonchy, Mahshid |
| Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 254.2022, p. 1-15
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| Subject: | Environmental hedging point policy | Failure-prone manufacturing system | Customer satisfaction | Simulation-based optimization | Machine learning | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Simulation | Hedging | Produktionssystem | Manufacturing system |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijpe.2022.108640 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013461617