Titlebook: Business Models and ICT Technologies for the Fashion Supply Chain; Proceedings of IT4Fa Rinaldo Rinaldi,Romeo Bandinelli Conference proceed

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originality

DEMUR

Analysis of Gene Expression Data,mes per year. Introducing new collections means developing simultaneously hundred of new products that has to match customer’s tastes/trends that evolve very fast. By acquiring and monitoring customers’ information from social and digital channels, fashion industries can capture customer’s tastes/tr

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macrophage

Ruptured-Disk

Computer-Assisted Bone-Marrow Reporting,ful to predict future sales. Literature has presented a huge number of statistical/data-science based techniques, able to perform forecasting of time series, like the number of pieces—belonging to a certain brand or category—sold in retail stores. This paper aims to put together some of these method

Musket

A Computerised References Management System,uptive events. When black swans events (low probability—high impact events) take place, many supply chains are not qualified to tackle those happenings in an efficient way. A resilient approach can fill this expertise gap, providing the necessary know-how and mindset qualities to supply chain player

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Neuropeptides

https://doi.org/10.1007/978-3-662-08608-7ynamics—related both to the fashion market as well as to new available technologies and communication tools—require well-prepared and skilled employees, able to navigate in this constantly changing environment with needed competences, updated knowledge, and creativity. Within this study, current mar