Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99013
| Title: | A global method from predictive to prescriptive analytics considering prediction error for “predict, then optimize” with an example of low-carbon logistics | Authors: | Wang, S Yan, R |
Issue Date: | Jul-2022 | Source: | Cleaner logistics and supply chain, July 2022, v. 4, 100062 | Publisher: | Elsevier | Journal: | Cleaner logistics and supply chain | ISSN: | 2772-3909 | DOI: | 10.1016/j.clscn.2022.100062 | Rights: | © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). The following publication Wang, S., & Yan, R. (2022). A global method from predictive to prescriptive analytics considering prediction error for “Predict, then optimize” with an example of low-carbon logistics. Cleaner Logistics and Supply Chain, 4, 100062 is available at https://doi.org/10.1016/j.clscn.2022.100062. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| 1-s2.0-S277239092200035X-main.pdf | 317.68 kB | Adobe PDF | View/Open |
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