Logistique et Supply Chain

FNEGE MEDIAS

Le média de la recherche et l'enseignement en management

  1. May 18

    Applied Optimization for Smart Production

    The optimal tool routing for cutting machines, also known as cutting path optimisation is an important problem in production research. This problem is relevant in various manufacturing environments such as aeronautic, automotive, garment and semiconductor industries. In this paper, we introduce a general solution framework for the discrete Cutting Path Problem which includes: (i) the universal approach to reduce numerous settings of this problem to the appropriate auxiliary instances of the well-known Precedence Constrained Generalized Traveling Salesman Problem; (ii) the proposition of efficient solution methods for finding (sub-) optimal solutions. We carry out extensive computational experiments in order to evaluate performance of the proposed framework and the obtained results demonstrate its efficiency for real-life industrial instances.

    4 min

  2. May 18

    What is forecasting?

    Forecasting is a key concept in management. It consists of anticipating future events using available information. Forecasting is mainly based on past and present data. Its purpose is to support decision-making and planning. Managers use forecasts to allocate resources and reduce uncertainty. There are short-term and long-term forecasts. Forecasting methods can be qualitative or quantitative. Forecasts are estimates, not exact predictions. They must be updated regularly.

    3 min

  3. May 18

    Risks of using black-box models

    Black-box models make decisions that are difficult for humans to understand or explain. We only see their inputs and outputs, not the reasoning behind them. For example, an algorithm that screens job applicants might reject qualified candidates without clear reasons. This lack of transparency can weaken trust and accountability. Hidden biases may be learned from past data and quietly amplified, leading to discrimination that often goes unnoticed until it causes harm. Since employment decisions are highly regulated and must be fair and auditable, black-box systems complicate compliance and investigations. Therefore, transparency and human oversight are crucial to mitigate these risks.

    3 min

  4. Feb 16

    AI and Ethics for a Circular Economy

    This study investigates whether AI-driven ethical procurement systems enhance firms’ circular supply chain orientation and how governance mechanisms affect supplier cost performance. Using survey data from 393 Indian firms and structural equation modeling, the research confirms that AI-based ethical systems significantly strengthen circular supply chain orientation. Circular orientation promotes both relational and contractual governance, but only relational governance—built on trust and collaboration—improves supplier cost performance. Contractual governance shows no significant effect. The findings extend transaction cost economics by revealing that, in circular supply chains, cost efficiency depends more on flexible, trust-based relationships than on formal contracts. Managerially, the study highlights that AI and relational governance together are critical for achieving ethical, sustainable, and cost-effective procurement in the circular economy.

    5 min

  5. 11/20/2025

    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.

    3 min

  6. 07/09/2025

    How do global companies make wise choices of countries for sourcing their suppliers?

    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.

    4 min

  7. 06/04/2025

    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.

    4 min

  8. 02/06/2025

    Supply Chain Endurance: The Key to Sustainable Resilience

    The increasing impacts of climate change and extreme weather events have amplified the importance of supply chain resilience. This study focuses on creating a framework to strengthen supply chain endurance and contribute to ongoing discussions around resilience. A mixed-method approach is adopted, starting with qualitative research to identify key components of endurance, followed by an empirical analysis of its connection to supply chain and community resilience. The results underline the role of adaptive leadership, transparency, flexibility, collaboration, redundancy, and preparedness in enhancing endurance. This research highlights the critical need to develop these capabilities to support sustainable resilience for businesses and broader communities.

    3 min
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