Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics

Flemming Max Møller Christensen; Iskra Dukovska-Popovska; Casper Solheim Bojer; Kenn Steger-Jensen

doi:10.1007/978-3-030-30000-5_21

Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics

Flemming Max Møller Christensen, Iskra Dukovska-Popovska, Casper Solheim Bojer, Kenn Steger-Jensen

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

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.

Originalsprog	Engelsk
Titel	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
Redaktører	Farhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Antal sider	9
Vol/bind	1
Forlag	Springer
Publikationsdato	2019
Sider	155-163
ISBN (Trykt)	978-3-030-29999-6
ISBN (Elektronisk)	978-3-030-30000-5
DOI	https://doi.org/10.1007/978-3-030-30000-5_21
Status	Udgivet - 2019
Begivenhed	IFIP WG 5.7 International Conference, APMS 2019 - Austin, USA Varighed: 1 sep. 2019 → 5 sep. 2019

Konference

Konference	IFIP WG 5.7 International Conference, APMS 2019
Land/Område	USA
By	Austin
Periode	01/09/2019 → 05/09/2019

Navn	IFIP AICT - Advances in Information and Communication technology
Vol/bind	566
ISSN	1571-5736

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10.1007/978-3-030-30000-5_21

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4 Citationer
1 Ph.d.-afhandling

Replenishment Planning and Control of Fresh Food Products: Insight from a Wholesaler of Franchise Retail Stores
Christensen, F. M. M., 2020, Aalborg Universitetsforlag. 431 s.
Publikation: Ph.d.-afhandling

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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. https://doi.org/10.1007/978-3-030-30000-5_21

Christensen, Flemming Max Møller ; Dukovska-Popovska, Iskra ; Bojer, Casper Solheim et al. / Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics. 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. red. / Farhad Ameri ; Kathryn E. Stecke ; Gregor von Cieminski ; Dimitris Kiritsis. Bind 1 Springer, 2019. s. 155-163 (IFIP AICT - Advances in Information and Communication technology, Bind 566).

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title = "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.",

keywords = "Differentiation, Error, Forecast, Fresh food, Shelf life",

author = "Christensen, {Flemming Max M{\o}ller} and Iskra Dukovska-Popovska and Bojer, {Casper Solheim} and Kenn Steger-Jensen",

year = "2019",

doi = "10.1007/978-3-030-30000-5_21",

language = "English",

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series = "IFIP AICT - Advances in Information and Communication technology",

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editor = "Ameri, {Farhad } and Stecke, {Kathryn E. } and {von Cieminski}, {Gregor } and Kiritsis, {Dimitris }",

booktitle = "Advances in Production Management Systems. Production Management for the Factory of the Future",

address = "Germany",

note = "IFIP WG 5.7 International Conference, APMS 2019 ; Conference date: 01-09-2019 Through 05-09-2019",

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Christensen, FMM , Dukovska-Popovska, I, Bojer, CS & Steger-Jensen, K 2019, Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics. i F Ameri, KE 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, Springer, IFIP AICT - Advances in Information and Communication technology, bind 566, s. 155-163, IFIP WG 5.7 International Conference, APMS 2019, Austin, Texas, USA, 01/09/2019. https://doi.org/10.1007/978-3-030-30000-5_21

Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics. / Christensen, Flemming Max Møller ; Dukovska-Popovska, Iskra; Bojer, Casper Solheim et al.
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. red. / Farhad Ameri; Kathryn E. Stecke; Gregor von Cieminski; Dimitris Kiritsis. Bind 1 Springer, 2019. s. 155-163 (IFIP AICT - Advances in Information and Communication technology, Bind 566).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics

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AU - Bojer, Casper Solheim

AU - Steger-Jensen, Kenn

PY - 2019

Y1 - 2019

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AB - 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.

KW - Differentiation

KW - Error

KW - Forecast

KW - Fresh food

KW - Shelf life

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U2 - 10.1007/978-3-030-30000-5_21

DO - 10.1007/978-3-030-30000-5_21

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SN - 978-3-030-29999-6

VL - 1

T3 - IFIP AICT - Advances in Information and Communication technology

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BT - Advances in Production Management Systems. Production Management for the Factory of the Future

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Christensen FMM , Dukovska-Popovska I, Bojer CS, Steger-Jensen K. Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics. I Ameri F, Stecke KE, von Cieminski G, Kiritsis D, 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. Springer. 2019. s. 155-163. (IFIP AICT - Advances in Information and Communication technology, Bind 566). doi: 10.1007/978-3-030-30000-5_21

Asymmetrical Evaluation of Forecasting Models Through Fresh Food Product Characteristics

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Replenishment Planning and Control of Fresh Food Products: Insight from a Wholesaler of Franchise Retail Stores

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