Laboratoire Poly-Industries 4.0

Contactez-nous

Christophe Danjou
Professeur agrégé
Local A-306.18
(514) 340-4711 poste 3602

Publications

2024

  1. ADAM, L., PELLERIN, R, and AGARD, B. (2024), Enhancing Maintenance Spare Parts Inventory Management with Data-Driven Demand Forecasting, 4th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0, Innsbruck, Austria, February 7-9.

  2. BELMOUADDEN, M., DADOUCHI, C., and PELLERIN, R. (2024), Artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation, CENTERIS 2024, Funchal, Madeira, November 13-15.

  3. BOURDIN, M., NEUMANN, A., PAVIOT, T., PELLERIN, R., and LAMOURI, S. (2024), Exploring the Applications of Natural Language Processing and Language Models for Production, Planning, and Control Activities in Industry 4.0: A Systematic Literature Review, Journal of Intelligent Manufacturing, accepted in August 2024.

  4. BOURDIN, M., PAVIOT, T., LAMOURI, S., and PELLERIN, R. (2024), NLP in SMEs for industry 4.0: opportunities and challenges, Procedia Computer Science, Vol. 239, pp. 396-403.

  5. COULOT, M., PELLERIN, R, YAHIA, E., and HARRIS, S. (2024), Predictive Methods for Event Revenues and Expenses to Support Convention Center Portfolio Management, 12th IPMA Research Conference, Maryland (USA), April 19-21.

  6. COULOT, M., PELLERIN, R, YAHIA, E., and HARRIS, S. (2024), Decision Support for Event Portfolio Management in Convention Centers, Proceedings of the IISE Annual Conference & Expo 2024, Montreal, May 18-21.

  7. COUTURE, L. PASSALACQUA, M., JOBLOT, L., MAGNANI, F., PELLERIN, R, and LEGER, P.M. (2024), Enhancing Operator Engagement During AI-Assisted Manufacturing Work Using Optimal State Deviation Feedback System, 4th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0, Innsbruck, Austria, February 7-9.

  8. COUTURE, L. PASSALACQUA, M., JOBLOT, L., MAGNANI, F., PELLERIN, R, and LEGER, P.M. (2024), Adaptive system to enhance operator engagement during smart manufacturing work, Sensors & Transducers, Vol. 265, Issue 2, pp. 106-119.

  9. ECHTERNACH-JAUBERT, M., PELLERIN, R., and GAMACHE, M. (2024), Opportunities for Research to Achieve the Vision of the Smart Mine, CIM Journal, accepted in July 2024.

  10. ECHTERNACH-JAUBERT, M., PELLERIN, R., and GAMACHE, M. (2024), A Digital Transformation Project Portfolio Management Model for Underground Mines, ProjMAN 2024, Funchal, Madeira, November 13-15.

  11. GOUJOUN, A., ROSIN, F., MAGNANI, F., LAMOURI, S., PELLERIN, R., and JOBLOT, L. (2024), Industry 5.0 use cases development framework, International Journal of Production Research, accepted in January 2024.

  12. PASSALACQUA, M., PELLERIN, R., YAHIA, E., MAGNANI, F., ROSIN, F., JOBLOT, L., and LÉGER, P.M. (2023), Practice with Less AI Makes Perfect: Partially Automated AI during Training Leads to Better Worker Motivation, Engagement, and Skill Acquisition, International Journal of Human-Computer Interaction, accepted in February 2024.

  13. PASSALACQUA, M., PELLERIN, R., and LÉGER, P.M. (2024), Assessing the Psychosocial, Cognitive, and Behavioural Impact of AI Integration: A Methodology for a Longitudinal Field Study, Administrative Sciences Association of Canada Conference 2024, Longueuil (Qc), Canada, 1-3 juin.

  14. PASSALACQUA, M., CABOUR, G., PELLERIN, R., LEGER, P.M., DOYON-POULIN, P. (2024). Human-Centered AI for Industry 5.0 (HUMAI5.0): Design framework and Case Studies. In Human-Centered AI: a Multidisciplinary Perspective for Policy-Makers, Auditors, and Users, Routledge’s Chapman & Hall/CRC Artificial Intelligence and Robotics Series, CRC Press.

  15. PASSALACQUA, M., PELLERIN, R., DOYON-POULIN, P., DEL_AGUILA, L., BOASEN, J., MAGNANI, F., and LÉGER, P.M., Human-Centred AI in Industry 5.0: A Systematic Review, to appear in International Journal of Production Research, accepted in September 2024.

  16. PERRIER, N., BLED, A., BOURGAULT, M., COUSIN, N., DANJOU, C., PELLERIN, R., and ROLAND, T. (2020), Construction 4.0: A Comparative Analysis of Research and Practice, Journal of Information Technology in Construction, accepted in January 2024.

  17. PUECH, L., DUPUIS, A., DADOUCHI, C., and PELLERIN, R. (2024), "Applied data analytics approach for defect root causes analysis in manufacturing: the case of multi-product assembly lines", IEEE Computers, Software, and Applications Conference (COMPSAC 2024), Osaka, Japan, July 2-4.

  18. VADEBONCOEUR, D., PELLERIN, R, and DANJOU, C. (2024), Assessing the Influence of Human Factors on Overall Labor Effectiveness in Manufacturing: A Comprehensive Literature Review, 4th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0, Innsbruck, Austria, February 7-9.

  19. YAHIA, E., MAGNANI, F., JOBLOT, L., PELLERIN, R., and PASSALACQUA, M. (2024), Exploring the Effects of Industry 4.0/5.0 on Human Factors: A Preliminary Systematic Literature Review, INCOM 2024, August 28-30, Vienna, Austria Canada.

 

2023

  1. ALBALKHY, W., RANKOHI, S., LAFHAJ, Z., IORDANOVA, I., RAMIREZ, V., JORGE, M., BOURGAULT, M., and PELLERIN, R. (2023), "Lean and IoT integration to improve flow in construction prefabrication: a proposed framework", IGLC 2023, Lille, France, June 26 – July 2.

  2. ZZAMOURI, A., BAPTISTE, P., PELLERIN, R., and DESSEVRE, G. (2022), ‘Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method’, International Journal of Production Research, Vol. 61, No. 16, pp. 5637-5658., https://doi.org/10.1080/00207543.2022.2109219.

  3. BELANGER, M.J., PELLERIN, R., LAMOURI, S et THOMASSET-LAPPERIERE, V. (2023), "Identification des informations contextuelles pertinentes à un jumeau numérique d’entreposage", CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

  4. BELANGER, M.J., PELLERIN, R., and LAMOURI, S (2023), "A Literature Review on Digital Twins in Warehouses", Procedia Computer Science, Vol. 219, pp. 370-377.

  5. BOURDIN, M., PAVIOT, T., LAMOURI, S., and PELLERIN, R. (2023), "NLP in SMEs for industry 4.0: opportunities and challenges", CENTERIS 2023, Porto, Portugal, November 8-10.

  6. BRODEUR, J., PELLERIN R., and DESCHAMPS, I. (2023) " Organizational Changes Approaches to Facilitate the Management of Industry 4.0 Transformation in Manufacturing SMEs’, Journal of Manufacturing Technology Management, Vol. 34 No. 7, pp. 1098-1119. https://doi.org/10.1108/JMTM-10-2022-0359.

  7. DRISSI ELBOUZIDI, A., AIT EL CADI, A., PELLERIN, R., LAMOURI, S., Tobon Valencia, E., and Bélanger, M.J. (2023), "The Role Of AI In Warehouse Digital Twins: Literature Review”, Applied Science, Vol.13, No. 11, 6746.

  8. DRISSI ELBOUZIDI, A., AIT EL CADI, A., PELLERIN, R., LAMOURI, S., and BOUAKER, S. (2023), "Digital Twin Modeling Framework for Manual Warehouses", IEEE SMC 2023 conference, Maui, USA, October 1-4.

  9. DRISSI ELBOUZIDI, A., AIT EL CADI, A., PELLERIN, R., LAMOURI, S. et BOUAKER, S. (2023), "Cadre de modélisation des jumeaux numériques pour un entrepôt manuel", CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

  10. GOUJOUN, A., ROSIN, F., MAGNANI, F., LAMOURI, S., PELLERIN, R. (2023), Modèle de cas d’usage pour l’industrie 5.0, CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

  11. JOBLOT, L., MAGNANI, F., ROSIN, F., PASSALACQUA et M., PELLERIN, R. (2023), Protocole expérimental visant l'étude de l’IA centrée sur l'humain dans le contexte de l'Industrie 5.0: Application en réalité augmentée, CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

  12. NACEUR, R., CIMON, Y., and PELLERIN, R. (2023), Information Systems adoption and performance: Evidence from Canadian firms linking individual and organizational performance, Information Systems Management, DOI: 10.1080/10580530.2023.2217475.

  13. NEUMANN, A., HAJJI, A., REKIK, M., PELLERIN, R. (2023), Integrated Planning and Scheduling of Engineer-To-Order projects using a Lamarckian Layered Genetic Algorithm, International Journal of Production Economics, accepted in Oct 2023.

  14. NEUMANN, A., HAJJI, A., REKIK, M., PELLERIN, R. (2023), Genetic algorithms for planning and scheduling engineer-to-order production: a systematic review, International Journal of Production Research, https://doi.org/10.1080/00207543.2023.2237122, pp. 1-30.

  15. NEUMANN, A., REKIK, M., MORION, M., HAJJI, A. et PELLERIN, R. (2023), Ordonnancement dynamique et contrôle intelligent d’un robot industriel, CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

  16. NGUYEN, A., PELLERIN, R., LAMOURI, S., and LEKENS, B. (2023), "Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis", International Journal of Production Research, Vol. 61, No. 9, pp. 2828-2839, oi.org/10.1080/00207543.2022.2070044.

  17. PASSALACQUA, M., PELLERIN, R., MAGNANI, F., JOBLOT, L., YAHIA, E., ROSIN, F., and LÉGER, P.M. (2023), L'origine de l'objectif est-elle importante? Effets motivationnels d’objectifs autodéfinis en production, CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

  18. RANKOHI, S., BOURGAULT, M., PELLERIN, R., and IORDANOVA, I. (2023), An Integrated Reverse Logistic Management Architecture for the Steel Industry, CIGI QUALITA MOSIM 2023, Trois-Rivières (Qc), Canada, 14-16 juin.

 

2022

  1. BELANGER, M.J., PELLERIN, R., and LAMOURI, S (2022), "A Literature Review on Digital Twins in Warehouse’s", CENTERIS 2022, Lisbon, Portugal, November 9-11.

  2. BRODEUR, J., PELLERIN R., and DESCHAMPS, I. (2022), "Collaborative Approach to Digital Transformation (CADT) Model for Manufacturing SMEs", Journal of Manufacturing Technology Management, Vol. 33, No. 1, pp. 61-83, DOI 10.1108/JMTM-11-2020-0440.

  3. BRODEUR, J., PELLERIN R., and DESCHAMPS, I. (2022), "Operationalization of Critical Success Factors to Manage the Industry 4.0 Transformation of Manufacturing SMEs", Sustainability, Vol. 14, No. 14, 35 pages.

  4. CARRIERES, V., LEMIEUX, A.A, MARGNI, M., PELLERIN, R., CARIOU, S., (2022) " Measuring the value of blockchain traceability in supporting LCA for textile products", Sustainability, Vol. 14, No. 2109, pp. 1-15.

  5. DRISS ELBOUZIDI, A., BELANGER, M.J., AIT EL CADI, A., PELLERIN, R., TOBON VALLENCIA, E., and LAMOURI, S. (2022), "The Role Of AI In Warehouse Digital Twins”, I3M 2022 - 19th International Multidisciplinary Modeling & Simulation Multiconference, September 19-21, Rome, Italy.

  6. DUPUIS, A., DADOUCHI, C., AGARD, B., and PELLERIN, R. (2022), "Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique", CENTERIS 2022, Lisbon, Portugal, November 9-11.

  7. GROGAN, S, PERRIER, N., GAMACHE, M., and PELLERIN R. (2022), " Using tornado-related weather data to route unmanned aerial vehicles to locate damage and victims’, Geomatics, Natural Hazards and Risk, Vol. 13, No. 1, pp. 2385-2404.

  8. MOSSER, J., PELLERIN, R., BOURGAULT, M., DANJOU, C., and PERRIER, N. (2022), "GRMI4.0: A Guide for Representing and Modeling Industry 4.0 business processes", Business Process Management Journal, Vol. 28, No. 4, pp. 1047-1070.

  9. NEUMANN, A., HAJJI, A., REKIK, M., PELLERIN, R. (2022), "A Two-Level Optimization Approach For Engineer-To-Order Project Scheduling", MIM 2022, 22-24 June, Nantes, France.

  10. NEUMANN, A., HAJJI, A., REKIK, M., PELLERIN, R. (2022), "A model for Advanced Planning Systems dedicated to the Engineer-To-Order context", International Journal of Production Economics, Vol. 252, https://doi.org/10.1016/j.ijpe.2022.108557, pp. 1-16.

  11. NGUYEN, A., PELLERIN, R., LAMOURI, S., and LEKENS, B. (2022), "Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis", Journal of Production Research, pp. 1-12, https://doi.org/10.1080/00207543.2022.2070044.

  12. NGUYEN, A., BOUGACHA, O., LAMOURI, S, PELLERIN, R., and COUVREUR, C. (2022), "On the use of logistics data to anticipate drugs shortages through data mining", CENTERIS 2022, Lisbon, Portugal, November 9-11.

  13. ROSIN, F., FORGET, P., LAMOURI, S., et PELLERIN, R. (2022), "Enhancing the decision-making process through Industry 4.0 technologies’, Sustainability, Vol. 14, No. 461, pp. 1-36.

  14. ROSIN, F., MAGNANI, F., JOBLOT, L., FORGET, P., LAMOURI, S., PELLERIN, R. (2022), "Lean 4.0: typology of scenarios and case studies to characterize Industry 4.0 autonomy model", MIM 2022, 22-24 June, Nantes, France.

  15. PASSALACQUA, M., PELLERIN, R., DOYON, P., DEL-AGUILA, L., BOASEN, J., and LEGER, P.M. (2022), "Human-Centred AI in the Age of Industry 5.0: A Systematic Review Protocol”, HCI International 2022 Conference, June 26 – July 1, Montreal, Canada.

  16. SATTLER, L., PASCAL, D., DENEUX, P., PELLERIN, R., MAIGNE, T., and LAMOURI, S. (2022), "The concept of BIM transaction: an automatable elementary process for widespread AEC collaboration. Automation in Construction", HAL Open Science, Elsevier, ffhal-03690518, 38 pages.

  17. TOBON-VALENCIA, E., LAMOURI, S., PELLERIN R., and MOEUF, A. (2022), "Modeling of the Master Production Schedule for the Digital Transition of Manufacturing SMEs in the Context of Industry 4.0", Sustainability, Vol. 14, No. 19, 28 pages.

 

2021

  1. BOUDINA, A., BEN ALI, M., PELLERIN, R. et DANJOU, C. (2021), "Estimation du poids et du volume des fruits et légumes via les technologies d’imagerie et de vision par ordinateur : état de l’art ", CIGI-QUALITA 2021, Grenoble, France, 5-7 mai.

  2. CARRIERES, V., LEMIEUX, A.A, PELLERIN, R. (2021, ‘Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production’, APMS 2021, Nantes (France), September, 5-9.

  3. DESSEVRE, G., BAPTISTE, P., LAMOTHE, J., and PELLERIN, R. (2021), ‘Visual Charts Produced by Simulation to Correlate Service Rate, Resource Utilization and DDMRP Parameters’, pp. 1-13, International Journal of Production Research, https://doi.org/10.1080/00207543.2021.2015808

  4. GROGAN, S, GAMACHE, M., and PELLERIN R. (2021), " Using tornado-related weather data to route unmanned aerial vehicles to locate damage and victims’, OR Spectrum, Vol. 43, No. 4, pp. 905-939.

  5. GUILHEN, L., PELLERIN, R. et DANJOU, C. (2021), " C3PO : Une ontologie développée pour le pilotage de la production fromagère au Québec", CIGI-QUALITA 2021, Grenoble, France, 5-7 mai.

  6. NGUYEN, A., USAGA DAVID, J. P., LAMOURI, S, GRABOT, B., PELLERIN, R., FORTIN, A., and  CARPENTIER, D. (2021), Understanding Data-Related Concepts in Smart Manufacturing and Supply Chain Through Text Mining, in Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Springer, pp. 508-519, DOI 978-3-030-69373-2_37.

  7. NGUYEN, A., LAMOURI, S, PELLERIN, R., TAMAYO GIRALDO, S., and LEKENS, B. (2021), " Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges", International Journal of Production Research, pp. 1-20, https://doi.org/10.1080/00207543.2021.1950937.

  8. NGUYEN, A., LAMOURI, S, PELLERIN, R. (2021), Managing demand volatility during unplanned events with sentiment analysis: a case study of the COVID-19 pandemic, IFAC-PapersOnLine, Volume 54, Issue 1, pp. 1017-1022, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2021.08.200.

  9. NGUYEN, A., LAMOURI, S, et PELLERIN, R. (2021), "L’analyse de sentiments pour la prévision de la demande en temps de crise : le cas de la pandémie de COVID-19", CIGI-QUALITA 2021, Grenoble, France, 5-7 mai.

  10. NGUYEN, A., LAMOURI, S, and PELLERIN, R. (2021), "Managing demand volatility during unplanned events with sentiment analysis: a case study of the COVID-19 pandemic", INCOM 2021, Budapest, Hungary, June 7-9.

  11. PASSALACQUA, M., SENECAL, S., FREDETTE, M., NACKE, L., PELLERIN, R. and LEGER, P.M. (2021), "Should Gamification be Personalized? A Self-Deterministic Approach”, AIS Transactions on Human-Computer Interaction, Vol. 13, No. 3, pp. 265-285.

  12. ROSIN, F., FORGET, P., LAMOURI, S., et PELLERIN, R. (2021), " Impact of Industry 4.0 on decision making in an operational context’, Advances in Production Engineering & Management, Vol. 16, No.4, pp. 500-514.

  13. SATLER, L., LAMOURI, S., PELLERIN, R., PAVIOT, T., DENEUX, D., and MAIGNE, T. (2021), ‘A survey about BIM interoperability and collaboration between design and construction’, SOHOMA 2020, January 27-28, Bogota, Columbia.

  14. TOBON-VALENCIA, E., LAMOURI, S., PELLERIN, R. and MOEUF, A. (2021). A novel analysis framework of 4.0 production planning approaches. SOHOMA 2021, January, Bogota, Columbia.

 

2020

  1. ARAB, S, IMBEAU, D, DUBEAU, D, DUBÉ, and P-A, AUGER, I. (2020). Comparison of nine heart rate-based models to predict work metabolism of forest workers. Ergonomics. (Under press).

  2. BALAL-POUR, M., PARTO VINIA, V., and PELLERIN, R. (2020). Application of Statistical Learning in the Ferro-Titanium Industry. Future of Information and Communication Conference 2020, San Francisco (USA), March 5-6, 2020.

  3. BOURGAULT, M., DANJOU, C., PELLERIN, R., PERRIER, N., BOTON, C., FORGUES, D., IORDANOVA, I., RIVEST, L., POIRIER, É., and JOBLOT, L. (2020). Transformer le secteur de la construction par le numérique : un chantier ambitieux et nécessaire. dans Joanis, M. (dir.) Le Québec économique 9 : Transformation numérique et politiques publiques innovantes. Québec : Les Presses de l’Université Laval et CIRANO (à paraître).

  4. DANJOU, C., BLED, A., M., COUSIN, ROLAND, T., PERRIER, N., BOURGAULT, M., and PELLERIN, R. (2020). Industry 4.0 in Construction Site Logistics: A Comparative Analysis of Research and Practices. Journal of Modern Project Management, Issue. 22, Vol. 7, No. 4, pp. 1-15.

  5. HERRERO, P.L., ARMELLINI, F., and SOLAR-PELLETIER, L. (2020). Change management in the context of the Fourth Industrial Revolution: An exploratory research using qualitative methods. Journal of Modern Project Management, Vol. 7, No. 4, pp. 154-175.

  6. JOBLOT, L., DANJOU, C., PELLERIN, R., and LAMOURI, S. (2020), "Industry 4.0 and BIM: Do they share the same objectives?", JCM 2020, Aix-en-Provence, France, June 2-4.

  7. MOEUF, A., LAMOURI, S, PELLERIN, R., TAMAYO, S., TOBON-VALENVIA, E., and BARBARAY, R. (2020). Identification of Critical Success Factors, Risks and Opportunities of Industry 4.0 in SMEs. International Journal of Production Research, Vol. 58, No. 5, pp. 1384-1400.

  8. NGUYEN, A., USAGA DAVID, J. P., LAMOURI, S, GRABOT, B., PELLERIN, R., FORTIN, A., and  CARPENTIER, D. (2020), "Understanding data-related concepts in smart manufacturing and supply chain through text mining", 10th SOHOMA European Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Paris, France, October 1-2.

  9. PERRIER, N., BLED, A., BOURGAULT, M., COUSIN, N., DANJOU, C., PELLERIN, R., and ROLAND, T. (2021). "Construction 4.0: A Survey of Research Trends". Journal of Information Technology in Construction, Vol. 25, pp. 416-437.

  10. PINHEIRO, MA, JUGEND, D., DEMATTE FILHO, L., ARMELLINI, F. (2018). Framework proposal for ecodesign integration on product portfolio management. Journal of Cleaner Production (ISSN: 0959-6526). Vol. 185, pp. 176-186.

  11. RICHARD, S., PELLERIN R., BELLEMARE, J., and PERRIER, N. (2020). A business process and portfolio management approach for Industry 4.0 transformation, Business Process Management Journal, Vol. 27 No. 2, pp. 505-528. https://doi.org/10.1108/BPMJ-05-2020-0216.

  12. ROSIN, F., FORGET, P., LAMOURI, S., and PELLERIN, R. (2020). Impacts of Industry 4.0 technologies on Lean principles. International Journal of Production Research, Vol. 58, No. 6, pp. 1644-1661.

  13. ROSIN, F., FORGET, P., LAMOURI, S., and PELLERIN, R. (2020). Industry4.0 and decision making’, JCM 2020, Aix-en-Provence, France, June 2-4.

  14. SATLER, L., LAMOURI, S., PELLERIN, R. (2020), ‘’Rétro-BIM ou la question de l’intégration : une revue anachronique’, SCAN 20, Bruxelles, Belgique, November 16-20.

  15. SEKKAY, F., IMBEAU, D., DUBÉ, P-A, CHINNIAH, Y., DE MARCELLIS-WARIN, N., BEAUREGARD, N., and TRÉPANIER, M. (2020). Assessment of Physical Work Demands of Long-Distance Industrial Gas Delivery Truck Drivers. Applied Ergonomics. (Under press).

  16. SEKKAY, F., IMBEAU, D., DUBÉ, P-A, CHINNIAH, Y., DE MARCELLIS-WARIN, N., BEAUREGARD, N., and TRÉPANIER, M. (2020). Assessment of Physical Work Demand of Short Distance Industrial Gas Delivery Truck Drivers. Applied Ergonomics. (Under press).

  17. SILVA, R.H., KAMINSKI, P.C., and ARMELLINI, F. (2020). Improving new product development innovation effectiveness by using problem-solving tools during the conceptual development phase: integrating Design Thinking and TRIZ. Creativity and Innovation Management Journal.

  18. TOBON-VALENCIA, E., LAMOURI, S., PELLERIN, R. and MOEUF, A. (2020). Modélisation du programme directeur de production en vue de la transition numérique des PME manufacturières. MOSIM 2020, Octobre, Agadir, Maroc.

  19. TOCHE, B., PELLERIN, R., and FORTIN, C. (2020) Set-Based Design: A Systematic Review. Design Research, Vol. 6, doi:10.1017/dsj.2020.16 

  20. USAGA DAVID, J.P., LAMOURI, S., GRABOT, B., PELLERIN, R., and FORTIN, A. (2020). Valuing Free-form Text Data from Maintenance Logs through Transfer Learning with CamemBERT. Enterprise Information Systems, https://doi.org/10.1080/17517575.2020.1790043.

  21. USAGA DAVID, J.P., LAMOURI, S., GRABOT, B., PELLERIN, R., and FORTIN, A. (2020). Machine Learning applied in Production Planning and Control: A State-of-the-art in the era of Industry 4.0. Journal of Intelligent Manufacturing, Vol. 31, pp. 1531-1558.

 

2019

  1. BARRIOS, P., DANJOU, C., and EYNARD, B. (2019). Towards a digital thread between internet of things and product lifecycle management: experimental work for prototype implementation. IFIP International Conference on Product Lifecycle Management, Moscou, Russie.

  2. BARRIOS, P., DANJOU, C., and EYNARD, B. (2019). Product lifecyce management et Industrial Internet of Things : revue systématique de la bibliographie, CIGI-QUALITA 2019, Juin, Montréal, Canada.

  3. COGNET, B., PERNOT, J-P, RIVEST, L., DANJOU, C., WUEST, T., KARKKAINEN, H., and LAFLEUR, M. (2019). Towards a novel comparison framework of digital maturity assessment models. IFIP International Conference on Product Lifecycle Management, Moscou, Russie.

  4. CRUZ, A.G.A. and ARMELLINI, F. (2019). A benchmarking study of Industry 4.0 initiatives in engineering education. Proceedings of the 3rd International Symposium on Supply Chain 4.0 (ISSC4) 22-27, Indianapolis/IN, USA. 

  5. DARAS, G., AGARD, B., and PENZ, B. (2019). Conceptual Framework for SDSS Development: Application in the Retail Industry. Business & Information Systems Engineering, Springer, Vol. 61, pp. 357-373.

  6. DANJOU, C., BLED, A., COUSIN, N., ROLAND, T., PERRIER, N., BOURGAULT, M., and PELLERIN, R. (2019). Industry 4.0 in Construction site logistics: A comparative analysis of research and practice. The Journal of Modern Project Management, Vol. 7, No. 4.

  7. FERREIRA, W., ARMELLINI F., and SANTA-EULALIA, L.A. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers & Industrial Engineering, Vol. 149, 106868. https://doi.org/10.1016/j.cie.2020.106868

  8. DESPATIE-PAQUETTE, B., RIVEST, L. and PELLERIN, R. (2019). Connectivity Validation for Indoor IoT Applications with Weightless Protocol. 15th International Conference on Distributed Computing in Sensor Systems, May 29-31, Santorini, Greece.

  9. DOMINGOS, E.G.N., LUCIANO H.S., LEITE, L.R., SILVA, A.L., ARMELLINI, F., and PEREIRA, C.R. (2019). The contribution of KPIs to build resilience in the supply chain in the context of Industry 4.0. Proceedings of the 3rd International Symposium on Supply Chain 4.0 (ISSC4) 48-57, Indianapolis/IN, USA.

  10. DUBÉ, P-A, IMBEAU, D., DUBEAU, D., and AUGER, I. (2019). Worker heat stress prevention and work metabolism estimation: comparing two assessment methods of the heart rate thermal component. Ergonomics. Vol. 62, No. 8, pp. 1066-1085.

  11. FERREIRA, W., PALANIAPPAN A., ARMELLINI F., SANTA-EULALIA, L.A., MOSCONO, E., and MARION, G. (2019). Linking Industry 4.0, Learning Factories, and Simulation Modeling: Testbeds and proof-of-concepts experiments. Paper presented at the 3rd International Symposium on Supply Chain 4.0: Challenges and Opportunities of Digital Transformation, Intelligent Manufacturing and Supply Chain Management (ISSC4), Indianapolis, USA (9 pages).

  12. FERREIRA, W., ARMELLINI, F., SANTA-EULALIA, L.A, and REBOLLEDO, C. (2019). Simulation-based approaches in industry 4.0: a systematic literature review and meta-analysis. Paper presented at the Industry 4.0 and Artificial Intelligence Technologies (INAIT 2019), Cambridge, UK.

  13. HAMDAVI, S., DANJOU, C., and CHINNIAH, Y. (2019). A conceptual framework for improving the machinery safety based on Industry 4.0: from data to knowledge. CIGI-QUALITA 2019, Juin, Montréal, Canada.

  14. RICHARD, S., PELLERIN R. and BELLEMARE, J. (2019). Industry 4.0 project portfolio management in manufacturing enterprises. 2018 International Research Meeting in Business and Management (IRMBAM-2019), July 8-10, Nice, France.

  15. TOBON-VALENCIA, E., LAMOURI, S., PELLERIN, R., DUBOIS, P, and MOEUF, A. (2019). Planification de la production et Industrie 4.0 : Revue de la littérature. CIGI-QUALITA 2019, Juin, Montréal, Canada.

  16. ROSIN, F., FORGET, P., LAMOURI, S., and PELLERIN, R. (2019). Industrie 4.0 et Lean : Hiérarchie, amélioration ou complémentarité ?. CIGI-QUALITA 2019, Juin, Montréal, Canada.

  17. SIRET, L., DANJOU, C., and AGARD, B. (2019). Élaboration d’un outil d’aide à la décision basé sur les règles d’association pour une PME. Congrès International de Génie Industriel, Montréal, Canada.
  18. USAGA DAVID, J.P., LAMOURI, S., GRABOT, B., PELLERIN, R., and FORTIN, A. (2019). Estimation of Production Inhibition Time Using Data Mining to Improve Production Planning and Control. IESM 2019, September 25-27, Shanghai, China.

  19. TOBON VALENCIA, E., LAMOURI, S., PELLERIN, R., DUBOIS, P., MOEUF, A. (2019), "Production Planning in the Fourth Industrial Revolution: A Literature Review", IFAC-PapersOnLine, Volume 52, Issue 13, pp. 2158-2163, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2019.11.525.

 

2018

  1. DADOUCHI, C. and AGARD, B. (2018). Lowering penalties related to stock-outs by shifting demand using product recommendation systems. Decision Support Systems, Elsevier, Vol. 114, pp. 61-69.

  2. DARAS, G., AGARD, B., and PENZ, B. (2018). A Spatial Data Pre-Processing Tool to Improve the Quality of the Analysis and to Reduce Preparation Duration. Computers & Industrial Engineering, Elsevier, Vol. 119, pp. 219-232.

  3. GROGAN, S., GAMACHE, M., and PELLERIN, R. (2018). The use of unmanned aerial vehicles and drones in search and rescue operations – a survey. PROLOG 2018, June 28-29, Hull, UK.

  4. HE, L., AGRAD, B., and TRÉPANIER, M. (2018). Classification of Public Transit Users With Smart Card Data Based on Time Series Distance Metrics and a Hierarchical Clustering Method, Transportmetrica A: Transport Science, Taylor & Francis, Vol. 16, No. 1, pp. 56-75.

  5. MOEUF, A., PELLERIN, R., LAMOURI, S., TAMAYO, S., and BARBARAY, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, Vol. 56, No. 3, pp. 1118-1136.

  6. MOEUF, A., PELLERIN, R., LAMOURI, S., A Géraldes and E. TOBON-VALENCIA (2018). Identification des risques, opportunités et facteurs critiques de succès de l'industrie 4.0 pour la performance industrielle des PME. MOSIM 2018, 27-29 juin, Toulouse, France.

  7. MURRAY, P.-W., AGARD, B., and BARAJAS, M. (2018). ASACT - Data preparation for forecasting: A method to substitute transaction data for unavailable product consumption data. International Journal of Production Economics, Taylor & Francis, Vol. 203, pp. 264-275.

  8. MURRAY, P.-W., AGARD, B., and BARAJAS, M. (2018). Forecast of individual customer’s demand from a large and noisy dataset. Computers & Industrial Engineering, Elsevier, Vol. 118, pp. 33-43.

  9. OSTERMEYER, E., DANJOU, C., DURUPT, A., and LE DUIGOU, J. (2018). A Knowledge-Based Engineering Framework for the Management of Manufacturing Data in a Data Mining Perspective. IFAC Symposium on Information Control Problems in Manufacturing, Bergame, Italie.

  10. OSTERMEYER, E., DANJOU, C., DURUPT, A., and LE DUIGOU, J. (2018). Un Système à Base de Connaissances pour la gestion de données d’usinage dans une perspective defouille de données. Manufacturing’21, Bordeaux, France.

  11. PELLERIN R. (2018). The contribution of Industry 4.0 in creating agility within SMEs. 2018 International Research Meeting in Business and Management (IRMBAM-2018), July 5-7, Nice, France.

  12. PINHEIRO, MA, JUGEND, D., DEMATTE, Filho L., and ARMELLINI, F. (2018). Framework proposal for ecodesign integration on product portfolio management. Journal of Cleaner Production (ISSN: 0959-6526). Vol. 185, pp. 176-186.

  13. SEKKAY, F., IMBEAU, D., CHINNIAH, Y., DUBÉ, P-A, DE MARCELLIS-WARIN, N., BEAUREGARD, N., and TRÉPANIER, M. (2018). Risk factors associated with self-reported musculoskeletal pain among short and long distance industrial gas delivery truck drivers. Applied Ergonomics, Vol. 72, pp. 69-87.

  14. SCREMIN, L., ARMELLINI, F., BRUN, A., SOLAR-PELLETIER, L., and BEAUDRY, C. (2018). Towards a framework to assess the maturity for Industry 4.0 adoption in manufacturing companies. in: Brunet-Thornton, R.; Martínez, F. (eds.) Analyzing the Impacts of Industry 4.0 in Modern Business Environments, IGI-Global, Ch. 12, pp. 224-254.

  15. TOBON VALENCIA, E., LAMOURI, S., PELLERIN, R., DUBOIS, P., MOEUF, A. (2018), "The integration of ERP and inter-intra organizational information systems: A Literature Review", IFAC-PapersOnLine, Volume 51, Issue 11, pp.1212-1217, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2018.08.425.

  16. YAZDINI, A., HILLBRECHT, M., IMBEAU, D., BIGELOW, P., NEUMANN, WP, PAGELL, M., and WELLS, R. (2018). Integration of musculoskeletal disorders prevention into management systems: A qualitative study of key informants’ perspectives. Safety Science, Vol. 104, pp. 110-118.

 

2017

  1. DANJOU, C., RIVEST, L., and PELLERIN, R. (2017). Industrie 4.0 : des pistes pour aborder l’ère du numérique et de la connectivité. CEFRIO, 27 pages.

  2. DANJOU, C., RIVEST, L., and PELLERIN, R. (2017). Douze positionnements stratégiques pour l’Industrie 4.0 : entre processus, produit et service, de la surveillance à l’autonomie. CIGI 2017, 3-5 mai, Compiègne, France.

  3. GHAEMI, M.-S., AGARD, B., TRÉPANIER, M., PARTOVI NIA, V. (2017). A Visual Segmentation Method for Temporal Smart Card Data. Transportmetrica A: Transport Science, Taylor & Francis, Vol. 13, No. 5, pp. 381-404.

  4. MOEUF, A., TAMAYO, S., LAMOURI, S., PELLERIN, R. and LELIEVRE, A. (2017). Les moyens de mise-en-œuvre de l‘Industrie 4.0 pour le pilotage industriel des PME. CIGI 2017, 3-5 mai, Compiègne, France.

  5. MURRAY, P.-W., AGARD, B., and BARAJAS, M. (2017). Market segmentation through data mining: A method to extract behaviors from a noisy data set. Computers & Industrial Engineering, Elsevier, Vol. 109, pp. 233-252.

  6. OSTERMEYER, E, DANJOU, C., DURUPT, A., and LE DUIGOU, J. (2017). Retrieval and re-use of manufacturing knowledge – A survey. International Conference on Manufacturing Research, Londres, Royaume-Uni.

  7. PELICIONI, R., ARMELLINI, F., KAMINSKI, PC, and BASSETTO, S. (2017). Including the voice of the client in the creative process: a case study of the integration of Quality Function Deployment (QFD) to the Value Proposition Design (VPD) in the service sector. Journal of Modern Project Management. Vol. 5, No. 2, pp. 6-21.

  8. YAZDINI, A., HILLBRECHT, M., IMBEAU, D., BIGELOW, P., NEUMANN, WP, PAGELL, M., and WELLS, R. (2017). Key Informants' Perspectives: Management Commitment, Training, and Worker Participation in the Prevention of Musculoskeletal Disorders. IISE Transactions on Occupational Ergonomics and Human Factors. Vol. 5, No. (3-4), pp. 172-184.

 

2016

  1. DUBÉ, P-A, IMBEAU, D., DUBEAU, D., LEBEL, L., KOLUS, A. (2016). Removing the thermal component from heart rate provides an accurate VO2 estimation in forest work. Applied Ergonomics. Vol. 54, pp. 148-157.

  2. HOMAIE-SHANDIZI, A.-H., PARTOVI NIA, V., GAMANCHE, M., and AGARD, B. (2016). Flight deck crew reserve: from data to forecasting. Engineering Applications of Artificial Intelligence, Elsevier, Vol. 50, No. C, pp. 106-114.

  3. KOLUS, A., IMBEAU, D., DUBÉ, P-A, and DUBEAU, D. (2016). Classifying work rate from heart rate measurements using an adaptative neuro-fuzzy inference system. Applied Ergonomics. Vol. 54, pp. 158-168.

  4. MATEI, M., RIVEST, L., and PELLERIN, R. (2016). Usine du futur -  une vision pour les entreprises manufacturières du Québec, CEFRIO, 64 pages.

  5. MOEUF, A., TAMAYO, S., LAMOURI, S., PELLERIN, R., and LELIEVRE, A. (2016), "Strengths and weaknesses of small and medium sized enterprises regarding the implementation of lean manufacturing", IFAC-PapersOnLine, Elsevier, 2016, Vol. 49, no. 12, pp.71 - 76. ⟨10.1016/j.ifacol.2016.07.552⟩.

  6. PELLERIN, R. and THOMAS, J. (2016). PME 2.0 AERO - Vers un nouvel alignement des processus d’affaires et des systèmes d’information. CEFRIO, 22 pages.

 

2015

  1. CHIASSON, M-E, IMBEAU, D., MAJOR, J., AUBRY, A., and DELISLE, A. (2015). Influence of musculoskeletal pain on workers' ergonomic risk-factor assessments. Applied Ergonomics. Vol. 49, pp. 1-7.

  2. DUBÉ, P-A, IMBEAU, D., DUBEAU, D., AUGER, I., and LEONE, M. (2015). Prediction of work metabolism from heart rate measurements in forestwork: some practical methodological issues. Ergonomics. Vol. 58, pp. 1-17.

  3. KOLUS, A., IMBEAU, D., DUBÉ, P-A, and DUBEAU, D. (2015). Adaptive neuro-fuzzy inference systems with k-fold cross-validation for energy expenditure predictions based on heart rate. Applied Ergonomics. Vol. 50, pp. 68-78.

  4. PELLERIN, R. (2015). Integrating Information Systems in the Aerospace Industry: a Critical Review of Existing Implementation Methodologies. Proceedings of IADIS 2015 - International Conference on Information System, March 14-16, Funchal, Portugal, pp. 251-254.

  5. YAZDINI, A.,  NEUMANN, WP, IMBEAU, D., BIGELOW, P., PAGELL, M., and WELLS, R. (2015). Prevention of musculoskeletal disorders within management systems: A scoping review of practices, approaches, and techniques. Applied Ergonomics, Vol. 51,pp. 255-262.

 

2011

  1. SAENZ DE UGARTE, PELLERIN, R., and ARTIBA, A. (2011). An improved Genetic Algorithm Approach for On-Line Optimization Problems. Production Planning and Control, Vol. 22, Issue. 8, pp. 742-753.

  2. SAENZ DE UGARTE, HAJJI, A., PELLERIN, R., and ARTIBA, A. (2010). Engineering Change Order Processing in ERP Systems:  An Integrated Reactive Model. European Journal of Industrial Engineering, Vol. 4, No.4, pp.394-412.

  3. PELLERIN, R., Hajji, A., and GHARBI, A. (2010). Integration of production and replenishment execution strategy in ERP systems. ILS 2010, Casablanca, Maroc.

  4. SAENZ DE UGARTE, PELLERIN, R., and ARTIBA, A. (2009). Enhancing Genetic Algorithm with predator mechanisms for On-line Optimization. International Conference on Industrial Engineering and Systems Management, May 2009, Montreal, Canada.

  5. SAENZ DE UGARTE, PELLERIN, R., and ARTIBA, A. (2009). Manufacturing Execution System – A literature review. Production Planning and Control, Vol. 20, No. 6, pp. 525-539.

  6. SAENZ DE UGARTE, B., HADJII, A., PELLERIN, R., and ARTIBA, A. (2009). Development and integration of reactive real-time decision support system in the aluminum industry. Engineering Applications of Artificial Intelligence, Vol. 22, No. 6, pp. 897-905.

  7. PELLERIN, R., HAJJI, H., SAENZ DE UGRATE, and ARTIBA, A. (2008). Integrating a Reactive Genetic Algorithm Model within the SAP Manufacturing Solution. Enterprise Resource Planning Teaching and Research, Vol. III, March, pp. 65-72.

  8. PELLERIN, R., SAENZ DE UGRATE, B., BOULET, J.F., and ARTIBA, A. (2008). Real-time Engineering Change Order Processing in ERP-Controlled Environments. Enterprise Resource Planning Teaching and Research, Vol. III, March, pp. 29-36.

  9. PELLERIN, R. (2008). Development and integration of a simulation-based repair and overhaul execution strategy in ERP systems. International Journal of Value Chain Management, Vol. 2, No. 4, pp. 436-449.

  10. SAENZ DE UGARTE, HADJII, A., PELLERIN, R., and ARTIBA, A. (2008). Engineering Change Order Processing in ERP Systems:  An Integrated Reactive. MOSIM 2008, Paris, France.

  11. SAENZ DE UGARTE, ARTIBA, A., and PELLERIN, R. (2007). Manufacturing Execution System – A literature review. IESM 2007, Beijing, Chine.

  12. SAENZ DE UGARTE, ARTIBA, A., and PELLERIN, R. (2007). Production Adaptative : un Système de Contrôle en Temps Réel basé sur la Simulation. Qualita 2007, Tanger, Maroc.

  13. SAENZ DE UGARTE, ARTIBA, A., and PELLERIN, R. (2007). Système d’exécution de la production : revue de la littérature. 7e Congrès international de génie industriel, 5-8 juin 2007, Trois-Rivières, Québec.

  14. SAENZ DE UGARTE, B., JBAIDA, K., ARTIBA, H., and PELLERIN, R. (2006). Adaptive Manufacturing: A real-time simulation-based control system. Proceedings of the International Conference on Software Engineering Advances 2006, IEEE Computer Society press, October, Tahiti.