Gestión de operaciones sostenible hacia la Industria 5.0

Número

Núm. 85 (2025): DyO - 85 (Abril 2025)

Sección

Artículos
  • Blanca Guerrero Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), Alcoy, Alicante, Spain.
  • Josefa Mula Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), Alcoy, Alicante, Spain.
  • Raúl Poler Universitat Politècnica de València, Research Centre on Production Management and Engineering (CIGIP), Alcoy, Alicante, Spain.

DOI:

https://doi.org/10.37610/85.692

Publicado

16-04-2025

Resumen

La Industria 4.0 (I4.0) ha permitido un alto potencial de desarrollo en la optimización de los problemas de planificación y control de la producción. Este artículo es un análisis preliminar de la literatura científica existente sobre problemas de planificación y gestión, específicamente en las áreas de producción, operaciones y planificación. Esta revisión profundiza en los conceptos de sostenibilidad y las perspectivas hacia la Industria 5.0 (I5.0) que aparecen en la literatura existente. Se presenta un análisis temático y una clasificación de los artículos revisados. Por último, se identifican las principales lagunas de investigación, retos y tendencias para futuras investigaciones.

Palabras clave:

Industria 4.0, Industria 5.0, sostenibilidad, gestión de operaciones, revisión

Agencias de apoyo

  • This research received funding from: the Generalitat Valenciana, INVEST/2022/249, within the framework of the Plan de Recuperación, Transformación y Resiliencia funded by the European Union Next Generation; and PROMETEO/2021/065 (i4OPT); grant PDC2022-133957-I00 (CADS4.0-II) funded by MCIN/AEI /10.13039/501100011033 and by European Union Next Generation EU/PRTR.

Referencias

AMJAD, M. S., RAFIQUE, M. Z., & KHAN, M. A. (2021). Leveraging Optimized and Cleaner Production through Industry 4.0. Sustainable Production and Consumption, 26, 859–871. https://doi.org/10.1016/j.spc.2021.01.001

BAKON, K., HOLCZINGER, T., SÜLE, Z., JASKÓ, S., & ABONYI, J. (2022). Scheduling Under Uncertainty for Industry 4.0 and 5.0. IEEE Access, 10, 74977–75017. https://doi.org/10.1109/ACCESS.2022.3191426

BARTOL, T., BUDIMIR, G., DEKLEVA-SMREKAR, D., PUSNIK, M., & JUZNIC, P. (2014). Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia. Scientometrics, 98(2), 1491–1504. https://doi.org/10.1007/S11192-013-1148-8

BATTINI, D., BERTI, N., FINCO, S., ZENNARO, I., & DAS, A. (2022). Towards industry 5.0: A multi-objective job rotation model for an inclusive workforce. International Journal of Production Economics, 108619. https://doi.org/10.1016/j.ijpe.2022.108619

FORTUNY-SANTOS, J., LÓPEZ, P. R. DE A., LUJÁN-BLANCO, I., & CHEN, P. K. (2020). Assessing the synergies between lean manufacturing and Industry 4.0. Direccion y Organizacion, 71, 71–86. https://doi.org/10.37610/dyo.v0i71.579

GROTEN, M., & GALLEGO-GARCÍA, S. (2021). A Systematic Improvement Model to Optimize Production Systems within Industry 4.0 Environments: A Simulation Case Study. Applied Sciences, 11(23), 11112. https://doi.org/10.3390/app112311112

KHETTABI, I., BENYOUCEF, L., & BOUTICHE, M. A. (2022). Sustainable multi-objective process planning in reconfigurable manufacturing environment: adapted new dynamic NSGA-II vs New NSGA-III. International Journal of Production Research, 60(20), 6329–6349. https://doi.org/10.1080/00207543.2022.2044537

KOLBEINSSON, A., LAGERSTEDT, E., & LINDBLOM, J. (2019). Foundation for a classification of collaboration levels for human-robot cooperation in manufacturing. Production and Manufacturing Research, 7(1), 448–471. https://doi.org/10.1080/21693277.2019.1645628

KUMAR, R., SINGH, S. P., & LAMBA, K. (2018). Sustainable robust layout using Big Data approach: A key towards industry 4.0. Journal of Cleaner Production, 204, 643–659. https://doi.org/10.1016/j.jclepro.2018.08.327

LEONG, W. D., TENG, S. Y., HOW, B. S., NGAN, S. L., ABD RAHMAN, A., TAN, C. P., PONNAMBALAM, S. G., & LAM, H. L. (2020). Enhancing the adaptability: Lean and green strategy towards the Industry Revolution 4.0. Journal of Cleaner Production, 273. https://doi.org/10.1016/j.jclepro.2020.122870

LI, J., TAN, X., & LI, J. (2018). Research on Dynamic Facility Layout Problem of Manufacturing Unit Considering Human Factors. Mathematical Problems in Engineering, 2018(1992725078), 13. https://doi.org/10.1155/2018/6040561

LI, M., & HUANG, G. Q. (2021). Production-intralogistics synchronization of industry 4.0 flexible assembly lines under graduation intelligent manufacturing system. International Journal of Production Economics, 241, 108272. https://doi.org/10.1016/j.ijpe.2021.108272

LI, M. L. (2021). An Algorithm for Arranging Operators to Balance Assembly Lines and Reduce Operator Training Time. Applied Sciences, 11(18), 8544. https://doi.org/10.3390/app11188544

LI, M., & WANG, G. G. (2022). A review of green shop scheduling problem. Information Sciences, 589, 478–496. https://doi.org/10.1016/j.ins.2021.12.122

LI, X., GUO, X., TANG, H., WU, R., WANG, L., PANG, S., LIU, Z., XU, W., & LI, X. (2022). Survey of integrated flexible job shop scheduling problems. Computers & Industrial Engineering, 174. https://doi.org/10.1016/j.cie.2022.108786

LI, Y., CARABELLI, S., FADDA, E., MANERBA, D., TADEI, R., & TERZO, O. (2020). Machine learning and optimization for production rescheduling in Industry 4.0. International Journal of Advanced Manufacturing Technology, 110(9–10), 2445–2463. https://doi.org/10.1007/s00170-020-05850-5

MANNINO, A., DEJACO, M. C., & CECCONI, F. R. (2021). Building information modelling and internet of things integration for facility management-literature review and future needs. Applied Sciences, 11(7). https://doi.org/10.3390/app11073062

MULA, J., & BOGATAJ, M. (2021). OR in the industrial engineering of Industry 4.0: experiences from the Iberian Peninsula mirrored in CJOR. Central European Journal of Operations Research, 29(4), 1163–1184. https://doi.org/10.1007/s10100-021-00740-x

MUSARAT, M. A., IRFAN, M., ALALOUL, W. S., MAQSOOM, A., & GHUFRAN, M. (2023). A Review on the Way Forward in Construction through Industrial Revolution 5.0. Sustainability (Switzerland), 15(18), 13862. https://doi.org/10.3390/su151813862

NADERI, M., ARES, E., PELÁEZ, G., PRIETO, D., & ARAÚJO, M. (2019). Sustainable Operations Management for Industry 4.0 and its Social Return. IFAC-PapersOnLine, 52(13), 457–462. https://doi.org/10.1016/j.ifacol.2019.11.102

NAHAVANDI, S. (2019). Industry 5.0-a human-centric solution. Sustainability (Switzerland), 11(16), 4371. https://doi.org/10.3390/su11164371

NGUYEN, A., LAMOURI, S., PELLERIN, R., TAMAYO, S., & LEKENS, B. (2022). Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges. International Journal of Production Research, 60(22, SI), 6888–6907. https://doi.org/10.1080/00207543.2021.1950937

PINHEIRO, P., & SARMENTO, M. (2023). Does the Board of Directors affects Corporate Social Responsibility Performance? Insights from an SEM-PLS Approach. Direccion y Organizacion, 80, 42–59. https://doi.org/10.37610/dyo.v0i80.642

RÁCZ-SZABÓ, A., RUPPERT, T., BÁNTAY, L., LÖCKLIN, A., JAKAB, L., & ABONYI, J. (2020). Real-time locating system in production management. Sensors (Switzerland), 20(23), 1–22. https://doi.org/10.3390/s20236766

RAMADAN, M., SALAH, B., OTHMAN, M., & ARSATH, A. A. (2020). Industry 4.0-Based Real-Time Scheduling and Dispatching in Lean Manufacturing Systems. Sustainability, 12(6), 2272. https://doi.org/10.3390/su12062272

REGA, A., MARINO, C. Di, PASQUARIELLO, A., VITOLO, F., PATALANO, S., ZANELLA, A., & LANZOTTI, A. (2021). Collaborative workplace design: A knowledge-based approach to promote human–robot collaboration and multi-objective layout optimization. Applied Sciences, 11(24). https://doi.org/10.3390/app112412147

REISINGER, J., HOLLINSKY, P., & KOVACIC, I. (2021). Design Guideline for Flexible Industrial Buildings Integrating Industry 4.0 Parameters. Sustainability, 13(19), 10627. https://doi.org/10.3390/su131910627

SANIUK, S., GRABOWSKA, S., & STRAKA, M. (2022). Identification of Social and Economic Expectations: Contextual Reasons for the Transformation Process of Industry 4.0 into the Industry 5.0 Concept. Sustainability (Switzerland), 14(3), 1391. https://doi.org/10.3390/su14031391

SANTOS, J. A. M., SOUSA, J. M. C., VIEIRA, S. M., & FERREIRA, A. F. (2022). Many-objective optimization of a three-echelon supply chain: A case study in the pharmaceutical industry. Computers & Industrial Engineering, 173, 108729. https://doi.org/10.1016/j.cie.2022.108729

SERRANO-RUIZ, J. C., MULA, J., & POLER, R. (2021). Smart Master Production Schedule for the Supply Chain: A Conceptual Framework. Computers, 10(12), 156. https://doi.org/10.3390/computers10120156

TRIPATHI, V., CHATTOPADHYAYA, S., BHADAURIA, A., SHARMA, S., LI, C., PIMENOV, D. Y., GIASIN, K., SINGH, S., & GAUTAM, G. D. (2021). An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach. Sustainability, 13(21), 11997. https://doi.org/10.3390/su132111997

TRIPATHI, V., CHATTOPADHYAYA, S., MUKHOPADHYAY, A. K., SARASWAT, S., SHARMA, S., LI, C., RAJKUMAR, S., & GEORGISE, F. B. (2022). A Novel Smart Production Management System for the Enhancement of Industrial Sustainability in Industry 4.0. Mathematical Problems in Engineering, 2022(2653906823). https://doi.org/10.1155/2022/6424869

TRIPATHI, V., CHATTOPADHYAYA, S., MUKHOPADHYAY, A. K., SHARMA, S., SINGH, J., PIMENOV, D. Y., & GIASIN, K. (2021). An Innovative Agile Model of Smart Lean-Green Approach for Sustainability Enhancement in Industry 4.0. Journal of Open Innovation: Technology, Market, and Complexity, 7(4), 215. https://doi.org/10.3390/joitmc7040215

TRSTENJAK, M., OPETUK, T., ĐUKIĆ, G., & CAJNER, H. (2022). Logistics 5.0 Implementation Model Based on Decision Support Systems. Sustainability, 14(11), 6514. https://doi.org/10.3390/su14116514

TSAI, W.-H. (2018). Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques. Energies, 11(8), 2072. https://doi.org/10.3390/en11082072

URIARTE, A. G., NG, A. H. C., & MORIS, M. U. (2020). Bringing together Lean and simulation: a comprehensive review. International Journal of Production Research, 58(1), 87–117. https://doi.org/10.1080/00207543.2019.1643512

YU, H. (2022). Modelling a remanufacturing reverse logistics planning problem: some insights into disruptive technology adoption. International Journal of Advanced Manufacturing Technology, 123(11–12), 4231–4249. https://doi.org/10.1007/s00170-022-10387-w

ZHANG, Q., CHEN, Y., LIN, W., & CHEN, Y. (2021). Optimizing Medical Enterprise’s Operations Management considering Corporate Social Responsibility under Industry 5.0. Discrete Dynamics in Nature and Society, 2021(2606655010). https://doi.org/10.1155/2021/9298166

ZHOU, L., JIANG, Z., GENG, N., NIU, Y., CUI, F., LIU, K., & QI, N. (2022). Production and operations management for intelligent manufacturing: a systematic literature review. International Journal of Production Research, 60(2), 808–846. https://doi.org/10.1080/00207543.2021.2017055

Licencia

Derechos de autor 2025 Blanca Guerrero, Josefa Mula, Raúl Poler

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

Licencia de Creative Commons
Esta obra se encuentra bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.

Descargas

Los datos de descarga aún no están disponibles.