The potential of BigData in material supply and information sharing in supply chains
Forskningsprojekt , 2017

This pre-study aimed at identifying potential research issues related to applying advanced analytics to delivery schedule data and using the blockchain technology in material supply and information sharing processes in supply chains. 

Exploratory data analyses were conducted on two years of delivery schedule data from one company identifying types of schedule variations and suggesting directions for further research related to the visibility and prediction of variations in supply chains.

The blockchain study was based on literature review. Further research related to advanced tracking and tracing, logistics contract management , and collaborative forecasting were suggested.

Deltagare

Patrik Jonsson (kontakt)

Professor vid Chalmers, Teknikens ekonomi och organisation, Supply and Operations Management

Muhammad Azam Sheikh

Forskningsingenjör vid Chalmers, Data- och informationsteknik, CSE Verksamhetsstöd

Gunnar Stefansson

Senior forskare vid Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics

Finansiering

Chalmers

Finansierar Chalmers deltagande under 2017

Relaterade styrkeområden och infrastruktur

Transport

Styrkeområden

Mer information

Senast uppdaterat

2018-11-30