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Using vehicle routing models to improve sustainability of temperature-controlled food chains

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2019 Netherlands Publisher:Elsevier BV

Authors: Stellingwerf, H.M.; Kanellopoulos, A.; Bloemhof-Ruwaard, J.M.;

doi: 10.1016/b978-0-12-813411-5.00011-9

Using vehicle routing models to improve sustainability of temperature-controlled food chains

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Abstract

In this chapter we discuss the importance of vehicle routing problems in improving sustainability of temperature-controlled transportation of perishable products. Transportation of these products requires substantial amounts of energy to optimize the product environment and delay the decay process. Because of this, minimizing traveling distance is not a sufficient objective to improve sustainability of this type of transportation systems. To achieve a more sustainable distribution of perishable products, other objectives related to spoilage and greenhouse gas emissions should also be evaluated. Moreover, it is important that the potential of new technologies and alternative logistical concepts (e.g., collaboration) are explored and analyzed quantitatively.

Country

Netherlands

Related Organizations

Wageningen University & Research
Netherlands

Keywords

Operationele Research en Logistiek, Temperature control, Leerstoelgroep Operationele research en logistiek, Sustainability, Wageningen School of Social Sciences, Routing problem, WASS, Operations Research and Logistics, Cold chains

Impact byBIP!

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	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average