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.
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.
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.
This work is an example of the application of the analytical model to strategic and tactical decisions in the agri-food industry. In practice, the analysis carried out in this paper helps decision-makers in the dairy sector to contribute to the achievement of the Sustainable Development Goals (SDGs). The main results of the study include a systematic approach based on the integration of the three dimensions of sustainability, a sector-focused methodology for measuring social, environmental and economic parameters in supply chain design.
An article published in Annals of Operations Research and submitted to the Best Article in Sustainable Supply Chain 2023 jury by Carlos A. Moreno-Camacho, Jairo R. Montoya-Torres and Anicia Jaegler.
This article looks at the process of co-designing a sustainable logistics innovation for direct large-scale implementation. It is based on the case of the design of a "Smart Green Pallet" and an associated innovative service offering. After positioning the case study, the article describes the process that led to the design of a sustainable product+service offering combining innovation in materials (recycled and recyclable plastic), innovation in the assembly of information systems (IS) and information technologies (IT), and innovation in the service offering linked to the use of traceability data.
An article published in Logistique & Management and submitted to the jury for the Best Article in Sustainable Supply Chain 2023 by Nathalie Fabbe-Costes, Yuan Yao, Vichara Kin and Marc Galant.
In this research, we show how a logistics transport planner optimizes the trips to be made while minimizing greenhouse gas emissions in a dynamic framework.
An article published in Environ Model Assess27, 585-598 (2022) and submitted to the Best Article in Sustainable Supply Chain 2023 jury by Xavier Brusset, Aida Jebali, Davide La Torre and Shumail Mazahir.
In this article, we focus on a company wishing to reduce the total carbon footprint associated with the product or service it offers. In this contribution, we propose a four-stage decision-support framework to help identify which actions to implement in order to select the most relevant projects for reducing the total carbon footprint within a supply chain.
An article published in Supply Chain Forum: An International Journal and submitted to the Best Article in Sustainable Supply Chain 2023 jury by Astrid Koomen, Yann Bouchery and Tarkan Tan.
In the literature, the benefits of horizontal cooperation are most often calculated by aggregating demands and considering a single supply chain, at the level of the coalition. However, this approach overlooks the independent and opportunistic nature of the participants in the collaboration. They have their own preferences in terms of cost reduction and environmental impact.
The aim of this article is to take better account of the individual differences between partners within a cooperation, and to help find a workable balance between them. It makes three main contributions .
An article published in OR Spectrum, 44, pp. 121-153, 2022. and submitted to the jury for Best Article in Sustainable Supply Chain 2023 by T. Hacardiaux, C. Defryn, J.-S. Tancrez and L. Verdonck.
What are the constituent resources needed to foster purchasing's involvement in eco-innovation in order to achieve a sustainable competitive advantage? To answer this question, our study looks at how companies integrate internal and external stakeholders into their eco-innovation activities.
An article published in Supply Chain Management: An International Journal and submitted to the jury for Best Article in Sustainable Supply Chain 2023 by VIALE Laurence, VACHER Stéphano, BESSOUAT Jeanne.
The first article to identify the critical factors for implementing a green supply chain in the healthcare sector. It is also the first attempt to provide a taxonomy of hospitals according to their green approaches (reactive, responsive and proactive).
An article published in The international journal of Logistics Management, 34(1), 60-83. and submitted to the jury of the Best Article in Sustainable Supply Chain 2023 by Bentahar, O., Benzidia, S., & Bourlakis, M. (2023).
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.
