Download the French version at this link
White Paper Volume I
This1st white paper assists in identifying the relevant data and level of precision needed to calculate CO₂ equivalent emissions across the entire Supply Chain. It also highlights initial levers to activate for decarbonization.
This analysis is organized along several key axes:
This publication is the result of the work carried out by the Digital Lab, enriched by contributions from its members, both operational and expert in the Supply Chain, as well as by carbon footprint assessment initiatives. A second volume will be published in 2025.
After presenting the group's working methodology, explore the description of data categories and an analysis of the data required to calculate emissions across an end-to-end Supply Chain.
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You will perform a self-assessment of your Supply Chain maturity.
This self-diagnosis, created by the LAB ETI/PME of France Supply Chain from a selection of 22 questions of the Reference frame of Excellence of France Supply Chain, has for only objective to provide an evaluation of the degree of maturity of the fundamentals of your Supply Chain and to position you compared to the best practices of the field.
The data provided are for the exclusive use of France Supply Chain to feed a database allowing each respondent company to compare itself against anonymized averages.
In order to allow you to make this comparison, the filling of this diagnosis requires the collection of your contact information.
You will perform a self-assessment of your Supply Chain maturity.
This self-diagnosis, created by the LAB ETI/PME of France Supply Chain from a selection of 22 questions of the Reference frame of Excellence of France Supply Chain, has for only objective to provide an evaluation of the degree of maturity of the fundamentals of your Supply Chain and to position you compared to the best practices of the field.
The data provided are for the exclusive use of France Supply Chain to feed a database allowing each respondent company to compare itself against anonymized averages.
In order to allow you to make this comparison, the filling of this diagnosis requires the collection of your contact information.