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Effective transport systems in food and agricultural supply chains for improved economy, environment and quality

Ljungberg, David (2006). Effective transport systems in food and agricultural supply chains for improved economy, environment and quality. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2006:100
ISBN 91-576-7149-4
[Doctoral thesis]

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Transport is a key link in the food and agricultural supply chain, providing essential services to the society. However, it is at the same time a major contributor to the negative environmental effects of goods transport as a whole, and this necessitates efforts to improve the economic as well as environmental efficiency. It was assumed that a detailed study of the most important material flows and transport operations, from a regional viewpoint, with the application of appropriate tools of logistics and supply chain management, could promote the sector on national and international levels. The strategic objective of the current thesis was to promote effective transport systems in food and agricultural supply chains, for improved economy, environment and quality. In four case studies, a range of data collection methods (including key informant interviews, surveys, direct observations, measurements) were employed to investigate the possibilities to improve logistics performance using route optimisation, coordinated transport and integrated logistics methods. It was found that constraints associated with environmental effects and effective utilisation of transport resources were significant. Loading rates were high (around 95%) in transport of primary products, whereas small, frequent deliveries and low (less than 50%) load rates characterised distribution of consumer products. Queues before delivery extended delivery operations in retail distribution and animal transport, resulting in stress on animals. Several possibilities for transport coordination were identified, including coordination of grain collection with delivery of agricultural supplies, coordinated meat and dairy distribution, and coordinated delivery to city centre retailers. In the latter case, a demonstration trial illustrated that the number of deliveries to retailers could be reduced by 40%. With route optimisation, time savings of 16-24% were possible when optimising multiple routes. Farm drying and storage of grain could benefit the whole supply chain by reducing transport demand and seasonal concentration and enhancing transport coordination. Although this practice should be rewarded in an integrated supply chain, a modelling study indicated that wet grain delivery during the harvest season was the most beneficial for the supplier.

Authors/Creators:Ljungberg, David
Title:Effective transport systems in food and agricultural supply chains for improved economy, environment and quality
Series Name/Journal:Acta Universitatis Agriculturae Sueciae
Year of publishing :2006
Number of Pages:42
ALLI. Gebresenbet, G. & Ljungberg, D. 2001. Coordination and route optimization of agricultural goods transport to attenuate environmental impact. Journal of Agricultural Engineering Research 80(4), 329-342. II. Ljungberg, D. & Gebresenbet, G. 2004. Mapping out the potential for coordinated goods distribution in city centres: The case of Uppsala. International Journal of Transport Management 2(3-4), 161-172. III. Ljungberg, D. & Gebresenbet, G. 2006. Logistics chain of animal transport and abattoir operations. (Submitted to Biosystems Engineering). IV. Ljungberg, D., Gebresenbet, G. & Ortiz, C. 2006. Optimisation tool for analysis of grain delivery strategy. (Manuscript).
Place of Publication:Uppsala
ISBN for printed version:91-576-7149-4
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:transport, food supply, agricultural products, farm inputs, transport of animals, environmental impact, towns, linear programming, optimization methods, sweden
Keywords:supply chain management, agricultural transport, animal transport, city logistics, route optimisation, linear programming, delivery strategy
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ID Code:1245
Department:(NL, NJ) > Department of Biometry and Engineering
Deposited By: David Ljungberg
Deposited On:23 Oct 2006 00:00
Metadata Last Modified:02 Dec 2014 10:10

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