Business administration & management
videos & podcasts
Facebook Linkedin Youtube Instagram
Tous les épisodes de podcasts
FNEGE MEDIAS
FNEGE MEDIAS
Should Robotic Warehouses Consider Customer Fairness?
Loading
/
  • Research
  • Digital Transformation, Logistics and Supply Chain

5 écoutes

Partager

Should Robotic Warehouses Consider Customer Fairness?

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.

Mots clés
  • Dynamic priority, Fairness, Logistics, Queueing network, Robotic warehouse

Auteur.e(s)

YUAN Zhe
Enseignant-Chercheur
EMLV

Institution(s)

Médias de la même institution

00:00
  • 00:03:24

How Investors Shape Corporate Waste Management

As environmental sustainability gains prominence, institutional investors are increasingly recognized for their influence on corporate environmental practices. This study investigates how institutional investors' ownership and investment horizon affect corporate waste management in France. The results reveal that long-term (short-term) institutional investors negatively (positively) affect waste generation. We also show that the effect of long-term institutional investors on waste generation has accentuated after the adoption of the French Law on the Energy Transition in 2015 , especially for firms with high environmental performance and strong corporate governance and those operating in environmentally sensitive industries. These results offer actionable insights for policymakers, investors, and managers seeking to promote sustainable waste management practices.
LAKHAL Faten - EMLV |
  • Research
  • Governance, Sustainable Development and CSR
00:00
  • 00:04:11

Managing the client portfolio for long-term survival

Our goal was to understand the effectiveness of a company in attracting its customer targets. To do this, we have developed a model that links a company’s marketing activities to the mix of customers who buy from the company. Most marketing models simply ask how a company’s marketing activities influence the number of customers who buy the brand. We wondered how a company’s marketing activities influence the types of customers who buy the brand.
SINHA Shameek - EMLV |
  • Research
  • Marketing, Sales and Communication
00:00
  • 00:01:56

What are Targeting Algorithms?

Not-for-profit organizations have long faced the challenge of balancing budgets when they simultaneously seek to retain and recruit new donors. In principle, existing donors can be targeted based on their previous donation data. However, for new donors, this data is not available or may be difficult to obtain from secondary sources. What should non-profit organizations do? We suggest 2 alternatives.
SINHA Shameek - EMLV |
  • Management Dictionary
  • Marketing, Sales and Communication
00:00
  • 00:03:05

Greenwashing: The Post-Pandemic Shift

Dans un contexte économique sans précédent marqué par une pandémie mondiale, l’entrelacement complexe du discours sur le greenwashing à l’ère des fake news s'est intégré au tissu de la durabilité d’entreprise, remodelant les perceptions des managers et mettant à l’épreuve leur attitude face aux décisions durables. À travers une étude qualitative en deux phases, cette recherche examine l’impact du discours sur le greenwashing sur les perceptions et attitudes des managers vis-à-vis de la durabilité en France après la pandémie. Les résultats révèlent une déconnexion entre le discours externe sur le greenwashing et l’état d’esprit des managers, ces derniers associant souvent les accusations de greenwashing aux « fake news ». De plus, l’étude montre que la pandémie a déplacé l’attention vers les préoccupations financières, reléguant la durabilité au second plan dans la prise de décision stratégique et modifiant ainsi le paysage de la responsabilité d’entreprise. En allant au-delà du cadre habituel centré sur les consommateurs et les clients, cette étude vise à combler un vide critique dans la recherche sur le greenwashing en examinant son impact sur différents acteurs. À travers cette analyse, nous cherchons à contribuer aux recherches sur le discours du greenwashing en offrant une compréhension plus approfondie des complexités et des nuances entourant les perceptions managériales de ce discours et des initiatives de durabilité dans une époque marquée par des défis sans précédent.
KADDOURI Ouiam - EMLV |
  • Research
  • Covid Special Series, Sustainable Development and CSR

Médias de la même thématique

00:00
  • 00:03:15

Is there more to sustainability than shopping wisely?

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 |
  • Research
  • Logistics and Supply Chain
00:00
  • 00:03:19

Artificial Intelligence in recruitment : Is ethics a lever for Business Attractiveness?

More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related to perceptions of organizational attractiveness, both directly and indirectly via perceptions of innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content, view such organizations as both more innovative and attractive.
FIGUEROA-ARMIJOS Maria - FNEGE |
  • Research
  • Digital Transformation, Human Resources Management
00:00
  • 00:03:24

Human artificial intelligence at the service of hyperperformance

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 |
  • Research
  • Digital Transformation, Higher Management Education, Human Resources Management, Innovation Management, Prospective, Strategic Management
00:00
  • 00:03:05

What is Hyper-Performance?

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 |
  • Management Dictionary
  • Digital Transformation, Higher Management Education, Human Resources Management, Innovation Management, Prospective, Strategic Management
Digital Transformation
Logistics and Supply Chain

Discover our podcasts (FR)

All our podcasts