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Analysis of the impacts of the COVID-19 pandemic on the drinking milk supply chain in Austria by means of a business process modelling and System Dynamics approach

Johanna Singer
Johanna Singer
, 
Yvonne Kummer
Yvonne Kummer
, 
Christiane Weber
Christiane Weber
, 
Martina Strobl
Martina Strobl
, 
Johanna Burtscher
Johanna Burtscher
, 
Konrad J. Domig
Konrad J. Domig
 et 
Patrick Hirsch
Patrick Hirsch
   | 09 mai 2022
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Article Category: Research Article
Publié en ligne: 09 mai 2022
Pages: 73 - 82
Reçu: 22 juin 2021
Accepté: 18 juil. 2021
DOI: https://doi.org/10.2478/boku-2021-0007
Mots clés
© 2021 Johanna Singer et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Overview of the chronological order of methods (1–5) and how they build on each otherAbbildung 1. Überblick über die zeitliche Abfolge der Methoden (1–5) und wie sie aufeinander aufbauen
Overview of the chronological order of methods (1–5) and how they build on each otherAbbildung 1. Überblick über die zeitliche Abfolge der Methoden (1–5) und wie sie aufeinander aufbauen

Figure 2

Business process model of the dairy supply chain (own illustration based on Kummer et al., 2019)Abbildung 2. Geschäftsprozessmodell der Milchlieferkette (eigene Illustration basierend auf Kummer et al., 2019)
Business process model of the dairy supply chain (own illustration based on Kummer et al., 2019)Abbildung 2. Geschäftsprozessmodell der Milchlieferkette (eigene Illustration basierend auf Kummer et al., 2019)

Figure 3

CLD of the impacts of a pandemic on the dairy industryAbbildung 3. CLD mit den Auswirkungen einer Pandemie auf die Milchwirtschaft
CLD of the impacts of a pandemic on the dairy industryAbbildung 3. CLD mit den Auswirkungen einer Pandemie auf die Milchwirtschaft

Figure 4

Business process model of the production decisions in dairy plantsAbbildung 4. Geschäftsprozessmodell der Produktionsentscheidungen in Molkereien
Business process model of the production decisions in dairy plantsAbbildung 4. Geschäftsprozessmodell der Produktionsentscheidungen in Molkereien

Explanation of the most important variables of the CLDTabelle 1. Erklärung der wichtigsten Variablen des CLD

Pandemic intensity The intensity of a pandemic affecting a society can be measured with different indicators, for example, the number of newly infected people per day
Human health The health status of a population, which can be measured with different indicators, for example, the number of patients in hospitals or the number of people who are on sick leave
Extent of shutdown Government measures to contain the spread of a virus. The extent varies, according to which and how areas of work and public life are restricted or closed
Packaging gap Lack or surplus of packaging material for dairy products. The greater the gap, the greater the lack of packaging material
Dairy staff gap Lack or surplus of dairy staff. The greater the gap, the greater the lack of dairy staff
Raw milk gap Lack or surplus of raw milk. The greater the gap, the greater the lack of raw milk
Available staff for milk collection Available staff for the transportation of raw milk from dairy cattle farms to dairies (milk tanker drivers)
Dairy production quantity The quantity of production of dairy products in dairies
Available dairy products The number of dairy products available for sale in supermarkets and at wholesalers
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