Future of sharing schedule information in automotive industry supply chains using advanced data analytics
Research Project, 2018 – 2021

The project’s point of departure is generally low forecast/delivery schedule accuracies, with negative impact on tied-up capital, transport costs, volume flexibility and environment in automotive industry supply chains. The aim is to generate a best practice description of how planning information is shared and used in the supply chains, and develop and field test new methods and models for measuring, visualizing and predicting delivery schedule variations in supply chains.

The new methods and models will generate improved demand visibility and allow for new ways of planning (e.g. conducting proactive scenario-based planning). As such the project intends to contribute to companies’ production and supply chain planning systems' abilities to compensate for and manage uncertainties, variations, and disturbances in supply chains.

The project is organized in six work packages. The first is a survey study of information usage in automotive supply chains. The second conducts data analytics of a large amount of delivery schedule data in order to identify common variations and patterns. The third conducts case studies to explain causes and consequences. The fourth develops new machine learning-based solutions/models for visualization and prediction. The fifth studies implementation and the sixth conducts dissemination.

Participants

Patrik Jonsson (contact)

Chalmers, Technology Management and Economics, Supply and Operations Management

Robin Hanson

Chalmers, Technology Management and Economics, Supply and Operations Management

Magnus Kjellberg

Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd

Paulina Myrelid

Chalmers, Technology Management and Economics, Supply and Operations Management

Muhammad Azam Sheikh

Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd

Hafez Shurrab

Chalmers, Technology Management and Economics, Supply and Operations Management

Collaborations

Automotive Components Floby AB

Floby, Sweden

Bulten AB

Göteborg, Sweden

Heléns Rör AB

Halmstad, Sweden

Meridion AB

Göteborg, Sweden

Northern LEAD

Gothenburg, Sweden

Odette Sweden AB

Stockholm, Sweden

Plastal Sverige AB

Göteborg, Sweden

Scania CV AB

Södertälje, Sweden

Veoneer

Stockholm, Sweden

Volvo Cars

Göteborg, Sweden

Volvo Group

Gothenburg, Sweden

Funding

VINNOVA

Project ID: 2018-02695
Funding Chalmers participation during 2018–2021

FFI - Strategic Vehicle Research and Innovation

Project ID: 2018-02695
Funding Chalmers participation during 2018–2021

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Transport

Areas of Advance

Production

Areas of Advance

Publications

More information

Project Web Page at Chalmers

https://www.chalmers.se/sv/projekt/Sidor/N...

Latest update

1/13/2021