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.

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Video games are a global digital infrastructure with real economic and social impact. They raise ethical challenges - from harassment to manipulative gamification - often overlooked by traditional frameworks. Normative, utilitarian, and virtue ethics approaches guide design, but often miss the designers’ own experiences and dilemmas. A case study of Eldermove shows ethical design emerges when developers avoid infantilizing users and step back from assumptions about them, respecting dignity and autonomy. Creating responsible games requires attending to the ethics of design itself. As gaming increasingly shapes culture, business, and healthcare, understanding designers’ fantasies and choices is key to technologies that truly support users.
PIGNOT Edouard - EMLV |
- Trends
- Digital Transformation, Health Sector Management, Information Systems, Innovation Management, Organizational Theory

