LOGISTIC COST OPTIMIZATION IN THE FOOD INDUSTRY OF SMALL COUNTRIES
Journal Title: VADYBA - Year 2015, Vol 26, Issue 1
Abstract
This research is aimed to determined and conduct a logistic cost optimization algorithm in the small markets food industry. The authors conducted a survey and indicated that in a small market food industry the main influence to the transportation cost is partial cargo transportation. Regarding this finding the authors offers a cost optimization algorithm using clustering processes. It was concluded that the usage of clusters can dramatically reduce cost and the optimization level is even higher in a small market.
Authors and Affiliations
Valentinas Navickas, Saulius Baskutis, Valentas Gružauskas
Keywords
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- EP ID EP464502
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