How collaborative forecasting can reduce forecast accuracy
| Autor: | Mumin Kurtulus, Michael R. Galbreth, Mikhael Shor |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Operations research
Computer science Applied Mathematics Information sharing Management Science and Operations Research Demand forecasting Decision maker Industrial and Manufacturing Engineering Collaborative forecasting Order (exchange) ComputerApplications_MISCELLANEOUS Range (statistics) Consensus forecast Preference (economics) Software |
| Zdroj: | Operations Research Letters. 43:349-353 |
| ISSN: | 0167-6377 |
| Popis: | In this paper, we provide an analytical perspective on the link between supply chain collaboration and forecast accuracy, showing that collaborative forecasting can lead to less accurate demand forecasts over a wide range of cost and demand parameters. The result is explained by the decision maker’s relative preference for investing in forecasting vs. order quantities to manage demand uncertainty. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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