Theory of Constraints and Industry 4.0: mutual contributions and research perspectives
João Victor Rojas Luiz; Fernando Bernardi de Souza; Octaviano Rojas Luiz
Abstract
Keywords
References
Aburumman, M. O., Sweis, R., & Sweis, G. J. (2024). Investigating building information modelling (BIM) and lean construction: the potential BIM-lean interactions synergy and integration in the Jordanian construction industry.
Aceto, G., Persico, V., & Pescape, A. (2019). A survey on information and communication technologies for Industry 4.0: state-of-the-art, taxonomies, perspectives, and challenges.
Acikgoz, F., Stylos, N., & Lythreatis, S. (2024). Identifying capabilities and constraints in utilizing blockchain technology in hospitality and tourism.
Alcácer, V., & Cruz-Machado, V. (2019). Scanning the Industry 4.0: a literature review on technologies for manufacturing systems.
Aljaž, T. (2024a). Enhancing retail operations: integrating artificial intelligence into the Theory of Constraints thinking process to solve shelf issue.
Aljaž, T. (2024b). Leveraging ChatGPT for enhanced logical analysis in the Theory of Constraints thinking process.
Antony, J., McDermott, O., Powell, D., & Sony, M. (2023). The evolution and future of lean Six Sigma 4.0.
Bacelar-Silva, G. M., Cox, J. F., Baptista, H. R., & Rodrigues, P. P. (2021). Identifying and addressing the underlying core problems in healthcare environments: an illustration using an emergency department game.
Balaji, V., Venkumar, P., & Sabitha, M. S. (2018). Smart manufacturing through TOC based Efficiency Monitoring System (TBEMS).
Banerjee, D., & Lowalekar, H. (2021). Communicating for change: a systems thinking approach.
Chang, K. H., Chang, Y. C., & Chang, Y. S. (2017). Applying theory of constraints-based approach to solve memory allocation of cloud storage.
Choi, T., Kumar, S., Yue, X., & Chan, H. (2022). Disruptive technologies and operations management in the Industry 4.0 era and beyond.
Chou, H.-H., Wang, C.-T., & Sheu, R.-S. (2016). A practical multiple-tool-set approach for increasing agile response in overhaul production with limited resource requirement visibility.
Colombari, R., Neirotti, P., & Berbegal-Mirabent, J. (2024). Disentangling the socio-technical impacts of digitalization: what changes for shop-floor decision-makers?
Coman, A., & Ronen, B. (1995). Information technology in operations management: a theory-of-constraints approach.
Costa, D., Martins, M., Martins, S., Teixeira, E., Bastos, A., & Cunha, A. R. (2019). Analysis of production activity control mechanisms for Industry 4.0.
Costas, J., Puche, J., Ponte, B., & Gupta, M. C. (2023). An agent-based simulator for quantifying the cost of uncertainty in production systems.
Cox III, J. F. (2019). Using the theory of constraints’ processes of ongoing improvement to address the provider appointment scheduling system execution problem.
Eidelwein, F., Piran, F. A. S., Lacerda, D. P., Dresch, A., & Rodrigues, L. H. (2018). Exploratory analysis of modularization strategy based on the Theory of Constraints thinking process.
Ermel, A. P. C., Lacerda, D. P., Morandi, M. I. W. M., & Gauss, L. (2021). Literature Reviews: Modern Methods for Investigating Scientific and Technological Knowledge. Cham: Springer International Publishing.
Esteso, A., Peidro, D., Mula, J., & Díaz-Madroñero, M. (2023). Reinforcement learning applied to production planning and control.
Franco, D., Miller Devós Ganga, G., Santa-Eulalia, L. A., & Godinho Filho, M. (2020). Consolidated and inconclusive effects of additive manufacturing adoption: a systematic literature review.
Gichane, M. M., Byiringiro, J. B., Benoussaad, M., & Rakotondrabe, M. (2025). Human-centric framework for robotic assembly for industry of the future.
Goldratt, E. M., & Cox, J. (1990).
Goldratt, E. M., Schragenheim, E., & Ptak, C. A. (2000).
Golmohammadi, D. (2015). A study of scheduling under the theory of constraints.
Gomes, R. F. S., Gauss, L., & Lacerda, D. P. (2021). Fast-response measures to mitigate the COVID-19 health and economic impacts within the organizations: the case of Thyssenkrupp Elevator Brazil.
Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910–936.
Groop, J., Reijonsaari, K., & Lillrank, P. (2010). Applying the theory of constraints to health technology assessment.
Gupta, M., Gupta, A., de Souza, F. B., Ikeziri, L. M., & Datt, M. (2024). Synergizing ChatGPT and experiential learning: unravelling TOC based production planning and control variants through the dice game.
Hagan, M. C., Andoh-Baidoo, F. K., Ayaburi, E. W., & Nwankpa, J. K. (2024). A moderated model of open innovation: an integration of Theories of Constraint and dynamic capabilities.
Helfer, D. G., Alff, L. A., Tedesco, L. P. C., Kipper, L. M., & Forno, A. J. D. (2024). Value stream mapping and theory of constraints in a screw company: generating ways for the implementation of Industry 4.0.
Hilmola, O. P., & Gupta, M. (2015). Throughput accounting and performance of a manufacturing company under stochastic demand and scrap rates.
Hilmola, O.-P., & Li, W. (2016). Throughput accounting heuristics is still adequate: response to criticism.
Ikeziri, L. M., de Souza, F. B., Gupta, M. C., & de Camargo Fiorini, P. (2018). Theory of constraints: review and bibliometric analysis.
Jahani, H., Jain, R., & Ivanov, D. (2023). Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research.
Jauhar, S. K., Priyadarshini, S., Pratap, S., & Paul, S. K. (2023). A literature review on applications of Industry 4.0 in Project Management.
Kagermann, H. (2015). Change through digitization: value creation in the age of Industry 4.0. In H. Albach, H. Meffert, A. Pinkwart & R. Reichwald (Eds.),
Kandarkar, P. C., & Ravi, V. (2024). Investigating the impact of smart manufacturing and interconnected emerging technologies in building smarter supply chains.
Khajavi, S. H., Partanen, J., & Holmström, J. (2014). Additive manufacturing in the spare parts supply chain.
Khakifirooz, M., Fathi, M., & Dolgui, A. (2024). Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI.
Klingenberg, C. O., Borges, M. A. V., & Antunes Júnior, J. A. V. (2018). Industry 4.0: What makes it a revolution? A historical framework to understand the phenomenon.
Kumar, T., Braeken, A., Jurcut, A. D., Liyanage, M., & Ylianttila, M. (2020). AGE: authentication in gadget-free healthcare environments.
Kumar, N., Singh, A., Gupta, S., Kaswan, M. S., & Singh, M. (2024). Integration of Lean manufacturing and Industry 4.0: a bibliometric analysis.
Kuo, T.-C., Hsu, N.-Y., Li, T. Y., & Chao, C.-J. (2021). Industry 4.0 enabling manufacturing competitiveness: delivery performance improvement based on theory of constraints.
Lee, J. H., Chang, J. G., Tsai, C. H., & Li, R. K. (2010). Research on enhancement of TOC Simplified Drum-Buffer-Rope system using novel generic procedures.
Li, C., Zhang, J., & Luo, Y. (2017). Real-time scheduling based on optimized topology and communication traffic in distributed real-time computation platform of storm.
Li, H., Cao, Y., Lin, Q., & Zhu, H. (2022). Data-driven project buffer sizing in critical chains.
Luiz, O. R., Souza, F. B., Luiz, J. V. R., & Jugend, D. (2019). Linking the critical chain project management literature.
Luo, D., Thevenin, S., & Dolgui, A. (2023). A state-of-the-art on production planning in Industry 4.0.
Mabin, V. J., & Cavana, R. Y. (2024). A framework for using Theory of Constraints thinking processes and tools to complement qualitative system dynamics modelling.
Malik, P. K., Sharma, R., Singh, R., Gehlot, A., Satapathy, S. C., Alnumay, W. S., Pelusi, D., Ghosh, U., & Nayak, J. (2021). Industrial Internet of Things and its applications in Industry 4.0: state of the art.
Mantravadi, S., Srai, J. S., & Møller, C. (2023). Application of MES/MOM for Industry 4.0 supply chains: a cross-case analysis.
Mateen, A., & More, D. (2013). Applying TOC thinking process tools in managing challenges of supply chain finance: a case study.
Mayo-Alvarez, L., Del-Aguila-Arcentales, S., Alvarez-Risco, A., Chandra Sekar, M., Davies, N. M., & Yáñez, J. A. (2024). Innovation by integration of Drum-Buffer-Rope (DBR) method with Scrum-Kanban and use of Monte Carlo simulation for maximizing throughput in agile project management.
Mirzaei, M., & Mabin, V. J. (2018). A review of the scholarly literature on CCPM: a focus on underpinning assumptions.
Modi, K., Lowalekar, H., & Bhatta, N. M. K. (2019). Revolutionizing supply chain management the theory of constraints way: a case study.
Myrelid, A., & Olhager, J. (2019). Hybrid manufacturing accounting in mixed process environments: a methodology and a case study.
Naghshineh, B. (2024). Additive manufacturing technology adoption for supply chain agility: a systematic search and review.
Naor, M., Bernardes, E. S., & Coman, A. (2013). Theory of constraints: Is it a theory and a good one?
Noh, S. M., Kim, J. H., & Jang, S. Y. (2017). A schedule of cleaning processes for a single-armed cluster tool.
Oesterreich, T. D., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry.
Oraee, M., Hosseini, M. R., & Edwards, D. J. (2025). Quantitative insights into collaboration in BIM-enabled projects: a PLS-SEM approach.
Osterrieder, P., Budde, L., & Friedli, T. (2020). The smart factory as a key construct of industry 4.0: a systematic literature review.
Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies.
Pacheco, D. A. J., Pergher, I., Antunes Junior, J. A. V., & Roehe Vaccaro, G. L. (2019). Exploring the integration between lean and the theory of constraints in operations management.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., Stewart, L. A., Thomas, J., Tricco, A. C., Welch, V. A., Whiting, P., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews.
Paul, J., Khatri, P., & Kaur Duggal, H. (2023). Frameworks for developing impactful systematic literature reviews and theory building: what, why and how?
Peralta-Abarca, J. D. C., Moreno-Bernal, P., Nesmachnow, S., & León-Hernández, V. A. (2024). Lean office approach for continuous improvement identification in the admission process of university students.
Prashar, A. (2023). Production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda.
Rays Filho, I., Souza, F. B., & Ikeziri, L. M. (2023). Analysis of a support method for offering delivery promises in environments managed by S-DBR system.
Rodgers, M., Mukherjee, S., Melamed, B., Baveja, A., & Kapoor, A. (2024). Solving business problems: The business-driven data-supported process.
Rohit, Vinodh, S., & Vigneshvaran, R. (2025). Benchmarking analysis of cyber-physical system-based lean tools using grey approaches. Benchmarking: An International Journal.
Rota, I. S., & Souza, F. B. (2021). A proposal for a theory of constraints-based framework in sales and operations planning.
Rüttimann, B. G., & Stöckli, M. T. (2020). From Batch & Queue to Industry 4.0-type manufacturing systems: a taxonomy of alternative production models.
Saif, U., Guan, Z., Wang, C., He, C., Yue, L., & Mirza, J. (2019). Drum buffer rope-based heuristic for multi-level rolling horizon planning in mixed model production.
Santos, A. A., Goecks, L. S., Pereira, L. M., Couto, B. S., & Korzenowski, A. L. (2024). Industry 4.0 technologies and Lean Office: perspectives to Smart Office.
Schragenheim, E., Camp, H., & Surace, R. (2019).
Sestino, A., Prete, M. I., Piper, L., & Guido, G. (2020). Internet of Things and Big Data as enablers for business digitalization strategies.
Seuring, S., & Gold, S. (2012). Conducting content-analysis based literature reviews in supply chain management.
Sharma, A., & Singh, B. J. (2020). Evolution of industrial revolutions: a review.
Shashi, M. (2023). Sustainable digitalization in pharmaceutical supply chains using theory of constraints: a qualitative study.
Silva Stefano, G., Pacheco Lacerda, D., Isabel Wolf Motta Morandi, M., Augusto Cassel, R., & Denicol, J. (2024). How important is the Theory of Constraints to supply chain management? An assessment of its application and impacts.
Souza, F. B. (2005). Do OPT à Teoria das Restrições: avanços e mitos.
Stump, B., & Badurdeen, F. (2012). Integrating lean and other strategies for mass customization manufacturing: a case study.
Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019). Digital twins and cyber-physical systems toward smart manufacturing and Industry 4.0: correlation and comparison.
Tsai, W.-H. (2018). Green production planning and control for the textile industry by using mathematical programming and Industry 4.0 techniques.
Tsai, W. H., & Lai, S. Y. (2018). Green production planning and control model with ABC under industry 4.0 for the paper industry.
Tsai, W.-H., & Lu, Y.-H. (2018). A framework of production planning and control with carbon tax under Industry 4.0.
Tsai, W.-H. (2023). Balancing profit and environmental sustainability with carbon emissions management and Industry 4.0 technologies.
Tsai, W.-H., & Su, P. (2024). A dynamic approach to sustainable knitted footwear production in Industry 4.0: integrating short-term profitability and long-term carbon efficiency.
Tsai, W.-H., Chang, S.-C., & Li, X.-Y. (2024a). Advancing decarbonization efforts in the glass manufacturing industry through mathematical optimization and management accounting.
Tsai, W.-H., Chen, H.-C., Chang, S.-C., & Chan, K.-C. (2024b). Revolutionizing textile manufacturing: sustainable and profitable production by integrating Industry 4.0, activity-based costing, and the theory of constraints.
Tsou, C.-M. (2013). On the strategy of supply chain collaboration based on dynamic inventory target level management: a theory of constraint perspective.
Urban, W., & Rogowska, P. (2019). Systematic literature review of Theory of Constraints. In B. Gapiński, M. Szostak & V. Ivanov (Eds.),
Wankhede, V. A., Vinodh, S., & Antony, J. (2025). Empirical analysis of key operational characteristics of lean six sigma and Industry 4.0 integration.
Watson, K. J., Blackstone, J. H., & Gardiner, S. C. (2007). The evolution of a management philosophy: The theory of constraints. Journal of Operations Management, 25(2), 387-402.
Yin, J., Ma, R., & Ge, S. (2025). Predicting task bottlenecks in digital manufacturing enterprises based on spatio-temporal graph convolutional networks.
Submitted date:
03/28/2025
Accepted date:
08/18/2025
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