This white paper presents current solutions for ensuring traceability, then zooms in on the IoT: what use cases, what benefits, challenges and risks, and finally what data to produce and how best to exploit it?
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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.
Par Saoussane Srhir, Anicia Jaegler et Jairo R. Montoya-Torres de Kedge Business School, France et School of Engineering de Universidad de La Sabana, Colombia.
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.
par Yu Liu, Shenle Pan Thierry Coupaye, Pauline Folz, Fano Ramparany et Sébastien Bolle de Mines Paris, PSL University, Centre for Management Science (CGS), i3 UMR CNRS, France et Orange Innovation, France.
The 2024 barometer of intralogistics expectations and priorities for the logistics ecosystem and manufacturers.
Secure…
… our commitment is to explore ways of securing the Supply Chain in the future.
The word means different things depending on your products, your business and your company’s development.
To make sure we were on the right track, we began by surveying our members, and more broadly the logistics industry (via industry newsletters), in order to analyze their testimonies through a prism we had developed.
Then we set out to illustrate what security could look like, and to position your expectations, in order to decide on our future roadmap.
Here are the priorities that emerge for 2024.
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This 2nd edition of the radar presents over 140 solutions for decarbonizing your Supply Chain. Discover a practical guide designed to help companies transform and adopt more sustainable organizational models.
The systems, tools and services listed all have an environmental or even sustainable objective, and meet 3 imperatives, to be :
In addition, they are French or even European, and above all, they are already available on the market!
To download the publication in french, click here.
This guide presents automation measures that require few resources to implement, but with concrete and rapid results for the company. It guides you through your project in 3 stages :
To download the French version of the publication, click here.
Ce travail est un exemple de l’application du modèle analytique à des décisions stratégiques et tactiques dans l’industrie agroalimentaire. En pratique, l’analyse réalisée dans ce document aide les décideurs du secteur laitier à contribuer à la réalisation des objectifs de développement durable (ODD). Les principaux résultats de l’étude comprennent une approche systématique basée sur l’intégration des trois dimensions de la durabilité, une méthodologie axée sur le secteur pour mesurer les paramètres sociaux, environnementaux et économiques dans la conception de la chaîne d’approvisionnement.
Un article publié dans Annals of Operations Research et soumis au jury du Meilleur Article en Supply Chain Durable 2023 par Carlos A. Moreno-Camacho, Jairo R. Montoya-Torres et Anicia Jaegler.
Dans cette recherche, nous montrons comment un planificateur de transport logistique optimise les déplacements à effectuer tout en minimisant les émissions de gaz à effet de serre dans un cadre dynamique.
Un article publié dans Environ Model Assess 27, 585–598 (2022) et soumis au jury du Meilleur Article en Supply Chain Durable 2023 par Xavier Brusset, Aida Jebali, Davide La Torre et Shumail Mazahir.
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