Skip to main content

Filter: Decarbonization, Energy & Climate

Circular supply chain: what can we learn from the first experiments?

Methodological guide to implementation and management

Download the english version here

After a year of collaborative work, our guide aims tohelp shippers and logisticians set up and manage circular supply chains.

This methodological guide is based on the 6 workshops conducted by Citwell - a consulting firm specializing in operations and supply chain transformation - with members of France Supply Chain. The results are aggregated according to the following pillars:

  1. Model and value sharing
  2. Multi-location sizing
  3. Forecasts and expenses
  4. Circularity management
  5. Operational management, continuous improvement & data
  6. Organization

To ensure the richness and strength of the workshops, the sample companies were selected in such a way as to guarantee a diversity of size, organization and sector of activity.

This publication is the result of this collective work, written by several hands, and is only the beginning of the epic.

Many thanks to Epalia, Michelin, Orange, Lizee, Rev Mobilities, LRPI and Valused.

And to contributors Décathlon, Groupement Hospitalier de Territoire Grand Paris Nord Est, Manutan, Legrand, L'Oréal, OEMServices, Renault, Saint-Gobain, Soroa.

*Source: GAIA 2023 survey

Circular Supply Chain: Key Takeaways from Initial Experiments

Methodological Guide for Implementation and Management

Download the French version here

After a year of collaborative work, our guidance document is designed to help shippers and logistics professionals implement and manage circular supply chains.

"67% of companies plan to increase their investments in circularity over the next three years...

... and members of France Supply Chain are no exception!"

Anaïs Leblanc, Executive Partner at Citwell and project leader

This methodological guide draws on six workshops conducted by Citwell -a consulting firm specializing in operations and supply chain transformation-with members of France Supply Chain. The findings are structured around the following pillars:

  1. Value model and sharing
  2. Multi-locality sizing
  3. Forecasting and workloads
  4. Circularity management
  5. Operational management, continuous improvement & data
  6. Organization

To ensure the richness and robustness of the workshops, participating companies were carefully selected to represent a diversity of sizes, structures, and sectors.

This publication is the result of this collective effort, written collaboratively, and is just the beginning of the journey.

A huge thank you to Epalia, Michelin, Orange, Lizee, Rev Mobilities, LRPI, and Valused.
And to the contributors from Decathlon, Groupement Hospitalier de Territoire Grand Paris Nord Est, Manutan, Legrand, L'Oréal, OEMServices, Renault, Saint-Gobain, and Soroa.

Source: GAIA 2023 survey

WHICH DATA FOR CALCULATING CO2 EMISSIONS IN THE SUPPLY CHAIN?

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:

  • the various stages of the Supply Chain;
  • the different emission scopes;
  • the level of digital maturity.

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.

Download the tool using the following form

WHICH DATA TO USE TO CALCULATE SUPPLY CHAIN CO2 EMISSIONS?

Download the english version here

Livre BLANC volume I

This1st white paper helps to identify the relevant data and level of precision for calculating CO² equivalent emissions throughout the supply chain. It also identifies the first levers to be used to decarbonize.

This analysis is organized along several axes:

  • the different stages of the supply chain ;
  • the different emission scopes ;
  • level of digital maturity.

This publication is the fruit of Lab Digital's work, and has been enriched by contributions from its members, who are both operational and experts in the supply chain, as well as in carbon footprint approaches.

After a presentation of the group's working methodology, discover a description of the data categories and an analysis of the data needed to calculate emissions in an end-to-end supply chain.

The role of responsible labels in transforming purchasing practices

The role of responsible labels in transforming purchasing practices

Maureen Poullié's professional thesis focuses on how a responsible label can transform a company's purchasing practices towards a more sustainable approach.

Through a case study of an aeronautical company that has held the RFAR (Label Relations Fournisseurs et Achats Responsables) label since 2022, it demonstrates how a label can act as a guide, guarantor, federator and differentiation tool. Based on semi-directive interviews and participant observation, the study highlights the importance of a collaborative commitment and appropriate management methods to make this transition a success.

For her research, Maureen Poullié received the Women's Prize for the Best Professional Thesis in Supply Chain awarded by France Supply Chain's Communauté des Femmes en Supply Chain.

View the brief

Introducing a framework toward sustainability goals in a supply chain 4.0 ecosystem

This article received the Best Article Award in Sustainable Supply Chain in 2024 ex aequo with a study on "Cognitive digital twins for freight parking management in last mile delivery under smart cities paradigm".

This prize is awarded jointly by France Supply Chain by Aslog's Lab SupplyChain4Good and AIRL-SCM, the association of French-speaking researchers in logistics and SCM.

The business and research community are called upon to take concrete actions to achieve the Sustainable Development Goals (SDGs). We state that Industry 4.0 technologies are the innovative capability that should be supported to move supply chains from their linear model, known for its high energy and resource consumption, to a circular model where technology replaces intermediaries and drives operations towards sustainability and efficiency.

The study reflects the impact of integrating Industry 4.0 technologies on each of the processes in the Supply Chain Operations Reference Model (SCOR) to construct the supply chain 4.0 and links the resulting capabilities of this transformation to the potential achievements of the Sustainable Development Goals (SDGs).

This paper draws on recent studies and secondary data sources to provide a framework that could help academics and practitioners reduce tensions related to the maturity level of Industry 4.0 technologies and foster concrete implementations to achieve sustainability goals.

By Saoussane Srhir, Anicia Jaegler and Jairo R. Montoya-Torres of Kedge Business School, France and School of Engineering of Universidad de La Sabana, Colombia.

Cognitive digital twins for freight parking management in last mile delivery under smart cities paradigm

This article received the Best Article Award in Sustainable Supply Chain in 2024 ex aequo with a study on "Introducing a framework toward sustainability goals in a supply chain 4.0 ecosystem".

This prize is awarded jointly by France Supply Chain by Aslog's Lab SupplyChain4Good and AIRL-SCM, the association of French-speaking researchers in logistics and SCM.

This paper examines the Freight Parking Management Problem (FPMP) of last-mile delivery within the context of Smart Cities where objects are managed by Digital Twins. Specifically, we investigate how Cognitive Digital Twins - Digital Twins with augmented semantic capabilities - can enhance instantly updated knowledge of parking connectivity to optimize logistics operations planning and urban resource allocation.

We present a four- layer architectural framework to integrate individual logistics objects and systems into Smart Cities at a semantic level, with underlying enabling technologies and standards including Property Graph, Web Ontology Language (OWL), and Web of Things.

Next, we conduct a case study of parcel delivery in Paris using a real-life Digital Twins platform called Thing in the future (Thing'in) by Orange France, coupled with an agent-based simulation model on AnyLogic, to demonstrate a real-world application of our approach.

The results suggest that semantics- enabled Digital Twins connectivity can increase the comprehensive understanding of the delivery environment and enhance cooperation between heterogeneous systems, ultimately resulting in improved logistics efficiency, reduced negative externalities, and better utilization of resources.

Furthermore, this work showcases potential new business services for logistics service providers and provides managerial insights for city planners and municipal policymakers. An actual mobile application prototype is presented to showcase the applicability of the work.

by Yu Liu, Shenle Pan Thierry Coupaye, Pauline Folz, Fano Ramparany and Sébastien Bolle from Mines Paris, PSL University, Centre for Management Science (CGS), i3 UMR CNRS, France and Orange Innovation, France.