Оптимизация транспортных процессов fashion-индустрии под влиянием больших данных
Bibliographic entry
Солодовникова, Т. И. Оптимизация транспортных процессов fashion-индустрии под влиянием больших данных / Т. И. Солодовникова, А. М. Туровец // Новые горизонты - 2016 : сборник материалов III Белорусско-Китайского молодежного инновационного форума, 29–30 ноября 2016 года. – Минск : БНТУ, 2016. – С. 252-253.
Abstract
Today Big Data changes the way we live, work and think. It is based on the ability to harness information in novel ways to produce useful insights and services of value. These days Big Data is becoming a critical source of economic value as well as innovation. We are witnessing of how it radically changes the world. Big Data has much to offer the world of logistics in the sphere of fashion in which customer’s desires, wishes, needs are so changeable and difficult for monitoring as well as analyzing. Sophisticated data analytics can consolidate traditionally fragmented sector as well as improve supply chain efficiency and effectiveness, form new successful combinations among the units of logistic supply chains. The article highlights a short review on the primary big data implementation trends in logistic supply chains of fashion industry. Some successful solutions on the issue of optimization of transport processes under the influence of big data were developed and presented in the article as well.