MSET: Industries X.0 (IA, robotique, santé, 3D...)

Catalog of Institut Mines-Télécom Business School courses

Code

MGYF STR 5929

Level

M2

Field

Stratégie

Language

Français/French

ECTS Credits

3

Class hours

35

Total student load

60

Program Manager(s)

Department

  • Management, Marketing et Stratégie

Educational team

Introduction to the module

This course is dedicated to the management of X.0 industries, a theme at the heart of the major transformations redefining today’s industrial landscape. The fourth industrial revolution, often referred to as "Industry 4.0," is characterized by the advanced integration of digital technologies, automation, and artificial intelligence into production processes. In this context, companies must adapt to increasingly complex and interconnected environments. The challenges are not limited to the implementation of new technologies; they also involve a reconfiguration of business models, a shift in skill sets, and a change in organizational culture. This course aims to explore these issues by addressing topics such as the impact of Artificial Intelligence, the Internet of Things (IoT), additive manufacturing, data analytics, and cybersecurity within the sectors most heavily utilizing robotic & automation (Automotive & Transportation; Healthcare & Pharmaceuticals; Energy & Utilities; Aerospace & Defense; Agri-food).
Through case studies, interactive discussions, and corporate site visits, the orchestration of these transformations by leaders will be examined to understand how they leverage the opportunities offered by Industry X.0.

Learning goals

  • 5. Élaborer une vision stratégique et innovante, en s’appuyant sur les potentiels de l’intelligence digitale et sur un écosystème favorable

Learning objectives

  • 5.1 - Monitor global and systemic changes in ecosystems in an international environment with a view to anticipating possible transformations and innovations and proposing proactive and proportionate responses to the major issues and challenges ahead.

Course Learning objectives

À l’issue de ce cours, les étudiants seront capables de :
1. Analyser les ruptures technologiques et managériales de l'Industrie 4.0 et 5.0
(systèmes cyber-physiques, IoT industriel, robotique avancée, IA, fabrication additive)
à travers les dynamiques sectorielles clés (automobile, santé, énergie, aérospatial,
agroalimentaire) (Bloom 4 — Analyser).
2. Évaluer l'impact de l'intégration des technologies avancées sur la reconfiguration
des chaînes de valeur industrielles, le déplacement des frontières de l'organisation
et l'émergence de nouveaux modèles d'affaires fondés sur la servitisation (Bloom 5 — Évaluer).
3. Diagnostiquer les défis environnementaux, sociétaux et éthiques liés au déploiement
de l'Industrie X.0, en mesurant les enjeux de décarbonation, de flexibilité énergétique
et de collaboration symbiotique homme-machine (Bloom 4 — Analyser / Bloom 5 — Évaluer).
4. Concevoir une feuille de route stratégique proactive et proportionnée d'adoption
des technologies X.0 pour une organisation industrielle, en articulant faisabilité
technologique, évolution des compétences et création de valeur soutenable (Bloom 6 — Créer).
5. Conduire une démarche de veille prospective sur les mutations systémiques
des écosystèmes industriels internationaux, afin d'argumenter et défendre
oralement des choix de transformation devant des pairs ou des professionnels (Bloom 4 — Analyser / Bloom 6 — Évaluer / Produire).
By the end of this course, students will be able to:
1. Analyze technological and managerial disruptions in Industry 4.0 and 5.0
(cyber-physical systems, Industrial IoT, advanced robotics, AI, additive manufacturing)
across key sectors (automotive, healthcare, energy, aerospace, agrifood) (Bloom 4 — Analyze).
2. Evaluate the impact of advanced technology integration on industrial value chain
reconfiguration, organizational boundaries, and the emergence of servitization-based
business models (Bloom 5 — Evaluate).
3. Diagnose environmental, societal, and ethical challenges linked to Industry X.0
deployment, critically assessing decarbonization pathways, energy flexibility,
and human-machine collaboration (Bloom 4 — Analyze / Bloom 5 — Evaluate).
4. Design a proactive and proportionate strategic roadmap for Industry X.0 technology
adoption in a manufacturing firm, aligning technological feasibility, workforce
skills transformation, and sustainable value creation (Bloom 6 — Create).
5. Conduct prospective monitoring on systemic changes across international industrial
ecosystems to formulate, pitch, and defend transformative management recommendations
before professional stakeholders (Bloom 4 — Analyze / Bloom 6 — Evaluate / Produce).

Content : structure and schedule

Sessions 1-2: Foundations and Definitions of Industry 4.0 & 5.0
Sessions 3-4: Cyber-Physical Systems and the Industrial Internet (IoT, 4G, 5G)
Sessions 5-6: 3D Printing
Sessions 7-8: Reconfiguration of the Value Chain and Boundaries / New Business Models and "Servitization"
Sessions 9-10: Industry 5.0: Human-Machine Collaboration and Sustainability / Industry X.0, Energy Flexibility & Decarbonization

Sustainable Development Goals

Justification for SDG 9
Sustainable Development Goal 9 promotes resilient infrastructure, sustainable industrialization, and technological innovation, encouraging the modernization of industrial processes through digital technologies (AI, IoT, data analytics). This course aligns perfectly with this goal, as it explores the fourth and fifth industrial revolutions (Industry 4.0/5.0), transforming traditional value chains into interconnected, sustainable ecosystems across key sectors (automotive, healthcare, energy, etc.).

Number of SDG's addressed among the 17

1

Learning delivery

synchrone

Pedagogical methods

Seminaires / Lectures
Etudes de Cas / Case Studies
Eléments d'étude en ligne / Online Learning Component
Débats / Debates
Témoignages de Dirigeants d'Entreprises / Executive Guest Lectures
Visites d'Entreprises / Corporate Site Visits

Evaluation and grading system and catch up exams

Final exam (CF): 60% individual evaluation (Theory questions / Mini case study)
The final grade may be adjusted based on individual participation (lateness, unexcused absences, etc.).
Resit (CF2): Theory questions / Mini case study. The grade is capped at 10/20.
In the event of failure to pass the resit (CF2), an extension of studies may be granted by the academic board.

Module Policies

Professor-Student Communication
● The professor will contact the students through their school email address (IMT-BS/TSP) and the Moodle portal. No communication via personal email addresses will take place. It is the student responsibility to regularly check their IMT-BS/TSP mailbox.
● Students can communicate with the professor by emailing him/her to his institutional address. If necessary, it is possible to meet the professor in his office during office-hours or by appointment.

Students with accommodation needs
If a student has a disability that will prevent from completing the described work or require any kind of accommodation, he may inform the program director (with supporting documents) as soon as possible. Also, students are encouraged to discuss it with the professor.

Class behavior
● Out of courtesy for the professor and classmates, all mobile phones, electronic games or other devices that generate sound should be turned off during class.
● Students should avoid disruptive and disrespectful behavior such as: arriving late, leaving early, careless behavior (e.g. sleeping, reading a non-course material, using vulgar language, over-speaking, eating, drinking, etc.). A warning may be given on the first infraction of these rules. Repeated violators will be penalized and may face expulsion from the class and/or other disciplinary proceedings.
● The tolerated delay is 5 minutes. Attendance will be declared on Moodle during these 5 minutes via a QR code provided by the teacher at each course start.
● Student should arrive on time for exams and other assessments. No one will be allowed to enter the classroom once the first person has finished the exam and left the room. There is absolutely no exception to this rule. No student can continue to take an exam once the time is up. No student may leave the room during an examination unless he / she has finished and handed over all the documents.
● In the case of remote learning, the student must keep his camera on unless instructed otherwise by the professor.

Honor code
IMT-BS is committed to a policy of honesty in the academic community. Conduct that compromises this policy may result in academic and / or disciplinary sanctions. Students must refrain from cheating, lying, plagiarizing and stealing. This includes completing your own original work and giving credit to any other person whose ideas and printed materials (including those from the Internet) are paraphrased or quoted directly. Any student who violates or helps another student violate academic behavior standards will be penalized according to IMT-BS rules.

Textbook Required and Suggested Readings

Kande (2024). The industry 5.0 handbook: A guide to the human-centric and sustainable manufacturing era. CRC Press.
Ustundag & Cevikcan (2021). Industry 4.0: Managing the digital transformation (2nd ed.). Springer.
Fernandez (2020) Industrie 4.0: Technologies et gestion dans la transformation numérique de l'industrie. Independently published

Keywords

Industry X.0; Servitization; Cyber-Physical Systems; Interoperability; Digital Twin; Human-Centricity