Skip to Main content Skip to Navigation
Conference papers

Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics

Abstract : Forecasting accuracy in context of fresh meat products with short shelf life is studied. Main findings are that forecasting accuracy measures (i.e. errors) should penalize deviations differently according to product characteristics, mainly dependent on whether the deviation is large or small, negative or positive. This study proposes a decision-based mean hybrid evaluation which penalize deviations according to type of animal, demand type, product life cycle and product criticality, i.e. shelf life, inventory level and future demand.
Document type :
Conference papers
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

https://hal.inria.fr/hal-02419236
Contributor : Hal Ifip <>
Submitted on : Thursday, December 19, 2019 - 1:16:11 PM
Last modification on : Thursday, December 19, 2019 - 2:02:29 PM
Long-term archiving on: : Friday, March 20, 2020 - 5:09:31 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Flemming Christensen, Iskra Dukovska-Popovska, Casper Bojer, Kenn Steger-Jensen. Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.155-163, ⟨10.1007/978-3-030-30000-5_21⟩. ⟨hal-02419236⟩

Share

Metrics

Record views

49