Logistics and Supply Chain
Logistics and Supply Chain
What is Supply Chain 4.0- Definition?
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What is Supply Chain 4.0- Definition?

Traditional supply chains are linear and slow, lacking real-time data sharing. Supply Chain 4.0, powered by Industry 4.0 technologies like AI, IoT, Blockchain, Big Data, and Autonomous robots, transforms these networks by integrating real-time communication among people, machines, and processes. This boosts efficiency through automation and advanced analytics, enabling accurate demand forecasting, cost reduction, and waste minimization. It also provides real-time visibility, allowing companies to track shipments and materials instantly.

Mots clés

Médias de la même institution

Artificial intelligence is already transforming lives and organizations. It brings a huge potential, for example, to achieve hyper-performance. Which is not about adding more trainings. But rather finding and removing obstacles from human minds. And artificial intelligence can facilitate that efficiently. It can help us to learn more about our own intelligence. Thus, giving us a unique chance to finally re-unite both intelligences.
STIBE Agnis - EM Normandie |
It is a state of performance when all unnecessary human thought is minimized or completely suppressed. Such as bad judgments, distracting thoughts, subjective biases, bad decisions, etc. For example, employees may be reluctant to accept artificial intelligence. That means there’s something in their mind that stops them. That something is the root cause.
STIBE Agnis - EM Normandie |
Cette étude analyse 2 986 entreprises d’Amérique latine (2009–2017, base LAIS) pour comprendre comment les collaborations universités–entreprises influencent le lien entre dépenses d’innovation et résultats d’innovation. Les résultats montrent (1) une relation positive entre dépenses et résultats, et (2) un effet modérateur significatif de la collaboration universitaire : à budget équivalent, les entreprises partenaires des universités obtiennent davantage d’innovations. La qualité des partenariats compte autant que leur existence. Implications : structurer la coopération (objectifs, IP), investir dans le capital humain, et mobiliser les ressources académiques comme amplificateurs de capacité.
PLATA Carlos - EM Normandie |
Companies invest heavily in R&D, yet results can be uneven. Working with universities helps ideas move from plans to usable solutions—not only through patents or equipment, but through the human side of knowledge. When teams share language, simple routines, and learn together, they frame the problem the same way and avoid rework. Starting with a co-designed brief, giving academics a bit of protected time, and backing the project with capable legal and project-management support keep collaborations on track. Prestige may open the first door, but everyday joint work creates the real value: faster adoption, better processes, and skills that stay inside the firm. When universities recognise and reward these outcomes, partnerships deepen. The takeaway is simple: invest in the relationship that carries know-how, and R&D pays off more reliably.
PLATA Carlos - EM Normandie |

Médias de la même thématique

Sustainability depends less on consumer choices and more on how supply chains are structured. Research on Brazil’s beef sector shows that, despite the BRSL initiative to improve sustainability, results fell short. Four types of distance geographical, organizational, cultural, and relational hindered collaboration. These gaps created communication problems and weakened trust among stakeholders. Real progress requires external mediators, such as governments or NGOs, to reconnect the entire supply chain.
SAUER Philipp - NEOMA Business School |
Circular Economy (CE) practices have the potential to increase the sustainable, societal and environmental performance of organisations and therefore contribute to meeting the United Nations Sustainable Development Goals. The objective of this research is to examine the adoption of sustainable practices by small and medium-sized enterprises (SMEs) and its impact on their environmental and societal performance.
SOUMYADEB Chowdhury - TBS Education |
Antony, together with his colleagues from NEOMA, presents research conducted with the University of Bristol on how international companies choose countries for sourcing. The concept of "country risk," once focused on economic conditions and political stability, now includes three major sociopolitical factors: populism, which creates regulatory uncertainty; state fragility, which affects suppliers’ ability to deliver; and checks and balances, which can limit but not always prevent political drift. The study, covering 1,300 U.S. companies and their suppliers in 90 countries, shows that these factors directly influence sourcing decisions. Examples like Samsung and H&M illustrate this shift toward countries perceived as more stable. In conclusion, companies must strengthen their geopolitical monitoring to anticipate risks and secure their supply chains.
PAULRAJ Antony - NEOMA Business School |
Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
YUAN Zhe - EMLV |

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