The potential of BigData in material supply and information sharing in supply chains
Research Project , 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.

Participants

Patrik Jonsson (contact)

Professor vid Chalmers, Technology Management and Economics, Supply and Operations Management

Muhammad Azam Sheikh

Forskningsingenjör vid

Gunnar Stefansson

Senior forskare vid Chalmers, Technology Management and Economics, Service Management and Logistics

Funding

Chalmers

Funding Chalmers participation during 2017

Related Areas of Advance and Infrastructure

Transport

Areas of Advance

More information

Latest update

2018-11-30