Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-16T07:29:10.223Z Has data issue: false hasContentIssue false

Improvement of animal welfare by strategic analysis and logistic optimization of animal slaughter transportation

Published online by Cambridge University Press:  01 January 2023

N Håkansson
Affiliation:
School of Bioscience, Skövde University, Sweden
P Flisberg
Affiliation:
The Forestry Research Institute of Sweden, Uppsala, Sweden
B Algers
Affiliation:
Swedish University of Agricultural Sciences, Skara, Sweden
A Jonsson
Affiliation:
School of Bioscience, Skövde University, Sweden
M Rönnqvist
Affiliation:
The Forestry Research Institute of Sweden, Uppsala, Sweden Université Laval, Québec, Canada
U Wennergren*
Affiliation:
Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden
*
* Contact for correspondence and requests for reprints: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The transportation of animals to slaughterhouses is a major welfare concern. The number of slaughterhouses has decreased over time in Europe due to centralisation. This is expected to increase transport time for animals and as a consequence negatively affect animal welfare. We propose an optimisation model based on a facility location model to perform strategic analysis to improve transportation logistics. The model is tested on the Swedish slaughter transport system. We show that, by strategic planning and redirection of transports while keeping the slaughterhouse capacities as of the original data, the potential exists to reduce transport distance by 25% for pigs and 40% for cattle. Furthermore, we demonstrated that approximately 50% of Swedish slaughterhouses can be shut down with a minimal effect on total transport distances. This implies that in terms of the overall welfare picture, the decision of which animals to send where plays a far more significant role than the number of slaughterhouses. In addition, by changing relative weights on distances in the optimisation function the amount of individual transports with long journey times can be decreased. We also show results from altered slaughterhouse capacity and geographical location of slaughterhouses. This is the first time an entire country has been analysed in great detail with respect to the location, capacity and number of slaughterhouses. The focus is mainly on the analysis of unique and detailed information of actual animal transports in Sweden and a demonstration of the potential impact redirection of the transports and/or altering of slaughterhouses can have on animal welfare.

Type
Research Article
Copyright
© 2016 Universities Federation for Animal Welfare

References

Algers, A, Algers, B, Franzèn, U, Lindencrona, M, Moen, O, Ohnell, S, Waidringer, J and Wiberg, S 2006 Logistik i samband med transport till slakt. Livsmedel och miljöoptimerade djurstrans-porter. Tech Rep 10, SLU Department of Animal Environment and Health, Sweden. [Title translation: Slaughter transport logistics. Food and environment optimised animal transports]Google Scholar
Anderson, C, Lagerkvist, C-J, Carlsson, F, Hannerz, N, Lindgren, K and Frykblom, P 2004 Värdering av griskött på en lokal marknad - ur ett konsumentperspektiv. Tech Rep 325 JTI -Institutet för jordbruks- och miljöteknik. Swedish Institute of Agricultural and Environmental Planning: Uppsala, Sweden. [Title translation: Valuation of pork meat on the local market from a consumers’ perspective]Google Scholar
Carlsson, F, Frykblom, P and Lagerkvist, C-J 2007 Consumer willingness to pay for farm animal welfare: mobile abattoirs versus transportation to slaughter. European Review of Agricultural Economics 34(3): 321344. http://dx.doi.org/10.1093/erae/jbm025CrossRefGoogle Scholar
Flisberg, P, Lidén, B, Rönnqvist, M and Selander, J 2012 Route selection for best distances in road databases based on drivers’ and customers’ preferences. Canadian Journal of Forest Research 42(6): 11261140. http://dx.doi.org/10.1139/x2012-063CrossRefGoogle Scholar
Freund, U 1997 The size and location of slaughtering plants in bavaria. Fleischwirtschaft 77(5): 404Google Scholar
Gebresenbet, G, Wikner, I, Ladberg, E, Holm, P, Nilsson, C and Svensson, L 2005 Effect of transport time on cattle welfare and meat quality. Tech rep Department of Biometry and Engineering Rapport Miljöteknik och lantbruk 2005:02, Uppsala, SwedenGoogle Scholar
ILOG Manual 2008 User's Guide to the Ilog ampl cplex system, version 11.0. Tech rep, ILOG Manual. IBM: London, UKGoogle Scholar
Kaspersson, E and Gullstrand, J 2004 Ekonomiska drivkrafter för djurtransporter. Tech Rep 7. Livsmedelsekonomiska institutet. Agrifood Economics Centre, Lund, Sweden. [Title translation: Economic incentives to animal transports]Google Scholar
Kristoffersson, J 2004 Transportdödlighet hos slaktsvin. Svensk Veterinärtidning (12): 11-15. [Title translation: Transport mortality of fattening pigs]Google Scholar
Lundgren, J, Rönnqvist, M and Värbrand, P 2010 Optimization. Studentlitteratur AB: Lund, SwedenGoogle Scholar
Malena, M, Voslárová, E, Kozák, A, Bělobrádek, P, Bedánôvá, I, Steinhauser, L and Vecěrek, V 2007 Comparison of mortality rates in different categories of pigs and cattle during transport for slaughter. Acta Veterinaria Brno 76: 109116CrossRefGoogle Scholar
Manteca, I and Vilanova, F 2007 Animal welfare at transport and at slaughter of livestock and poultry. XIII International Congress on Animal Hygiene pp 702704. 17-21 June 2007, Tartu, EstoniaGoogle Scholar
Nagy, G and Salhi, S 2007 Location-routing: Issues, models and methods. European Journal of Operational Research 177(2): 649672. http://dx.doi.org/10.1016/j.ejor.2006.04.004CrossRefGoogle Scholar
Oppen, J, Lokketangen, A and Desrosiers, J 2010 Solving a rich vehicle routing and inventory problem using column generation. Computers & Operations Research 37(7): 13081317.CrossRefGoogle Scholar
Schutz, P, Stougie, L and Tomasgard, A 2008 Stochastic facil-ity location with general long-run costs and convex short-run costs. Computers & Operations Research 35(9): 29883000CrossRefGoogle Scholar
Sigurd, M and Pisinger, D 2004 Scheduling transportation of live animals to avoid the spread of diseases. Transportation Science 38(2): 197209CrossRefGoogle Scholar
Swedish Board of Agriculture 2008 Transport database. Swedish Board of Agriculture: Uppsala, SwedenGoogle Scholar
Supplementary material: File

Håkansson et al. supplementary material
Download undefined(File)
File 348.7 KB