Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics

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Abstrakt

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.

OriginalsprogEngelsk
TitelAdvances in Production Management Systems. Production Management for the Factory of the Future : IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I
RedaktørerFarhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Antal sider9
Vol/bind1
ForlagSpringer
Publikationsdato2019
Sider155-163
ISBN (Trykt)978-3-030-29999-6
ISBN (Elektronisk)978-3-030-30000-5
DOI
StatusUdgivet - 2019
BegivenhedIFIP WG 5.7 International Conference, APMS 2019 - Austin, USA
Varighed: 1 sep. 20195 sep. 2019

Konference

KonferenceIFIP WG 5.7 International Conference, APMS 2019
LandUSA
ByAustin
Periode01/09/201905/09/2019
NavnIFIP AICT - Advances in Information and Communication technology
Vol/bind566
ISSN1571-5736

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  • Citationsformater

    Christensen, F. M. M., Dukovska-Popovska, I., Bojer, C. S., & Steger-Jensen, K. (2019). Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics. I F. Ameri, K. E. Stecke, G. von Cieminski, & D. Kiritsis (red.), Advances in Production Management Systems. Production Management for the Factory of the Future: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I (Bind 1, s. 155-163). Springer. IFIP AICT - Advances in Information and Communication technology, Bind. 566 https://doi.org/10.1007/978-3-030-30000-5_21