Nya data-drivna lösningar för förbättrad plankvalitet, informationsdelning och planering i fordonsindustrins försörjningskedjor
Forskningsprojekt , 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.


Patrik Jonsson (kontakt)

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

Robin Hanson

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

Magnus Kjellberg

Forskningsingenjör vid Administration DoIT

Paulina Myrelid

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

Muhammad Azam Sheikh

Forskningsingenjör vid Administration DoIT


Automotive Components Floby AB

Floby, Sweden

Bulten AB

Göteborg, Sweden

Heléns Rör AB

Halmstad, Sweden

Meridion AB

Göteborg, Sweden

Northern LEAD Logistics Centre

Gothenburg, Sweden

Odette Sweden AB

Stockholm, Sweden

Plastal Sverige AB

Göteborg, Sweden

Scania CV AB

Södertälje, Sweden

Veoneer Sweden AB

Vårgårda, Sweden

Volvo Cars

Göteborg, Sweden

Volvo Group

Gothenburg, Sweden


FFI - Fordonsstrategisk forskning och innovation

Finansierar Chalmers deltagande under 2018–2021

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Informations- och kommunikationsteknik







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