Table 1 The relevant studies in the...

Table 1

The relevant studies in the existing literature

Authors	Research type	Contribution	Industry 4.0 technologies	Lean techniques	Methodology
Sanders et al. (2016)	Empirical	Identifying the specific aspects of Industry 4.0 that contribute to various dimensions of lean manufacturing	Internet of things, Smart machines, Monitoring, Machine learning, Cloud Computing	JIT, SMED, Pull Production, TPM, Continuous Flow	Reviewing the literature and determining appropriate solution principles
Jayaram (2016)	Conceptual	Designing a supply chain management model utilizing Industry 4.0 techniques to minimize waste and enhance quality	Internet of things, Smart machines, Monitoring, Cloud Computing	Lean Six Sigma	Logistic model
Wagner et al. (2017)	Conceptual	Developing a framework to assess the impact of Industry 4.0 on lean production systems for industrial companies	Big Data, Internet of things, Cyber–physical System	5S, Kaizen, JIT, Jidoka, Heijunka, Standardization, Pull System	Statistic research and design framework
Tortorella and Fettermann (2018)	Empirical	Exploring the correlation between lean production practices and the adoption of Industry 4.0 in Brazilian manufacturing companies	Big Data, Cloud Computing, Internet of Things, Simulation	JIT, Pull System, One piece flow, Supplier feedback	Questionnaire development and data collection, clustering of data statistical analysis
Varela et al. (2019)	Empirical	Suggesting a structural equation model for the quantitative measurement of the effects of Lean Manufacturing and Industry 4.0 on sustainability	Big Data, Cloud Computing, Digitalization, Autonomous Robots	Pull Production, Poka-Yoke, Jidoka	A questionnaire-based survey and statistical analysis
Rossini et al. (2019)	Empirical	Exploring the influence of the relation between the adoption of Industry 4.0 technologies and the implementation of lean production practices on the enhancement of operational performance in European manufacturing companies	Big Data, Cloud Computing, Digitalization, Artificial Intelligent, Augmented Reality, Cyber–physical System, Internet of Things, Simulation	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous flow, PDCA, Hoshin Kanri	A questionnaire-based survey and statistical analysis
Ahmed et al. (2020)	Empirical	To demonstrate three simulations, compare within a Lean Six Sigma project	Simulation, Agent-based Model	Lean Six Sigma	Discrete-event simulation
Rosin et al. (2020)	Conceptual	Investigating the impact of Industry 4.0 principles on lean techniques while considering their effects in relation to capability levels	Cloud Computing, Big Data, Simulation, Autonomous Robots, System integration	JIT, Jidoka	Classification
Kamble et al. (2020)	Empirical	Investigating the effects of Industry 4.0 and lean manufacturing practices on sustainable organizational performance	Cloud Computing, Big Data, Internet of Things, Augmented Reality, Robotics System	Supplier Feedback, JIT, Pull systems, Continuous Flow, SMED, TPM	A questionnaire-based survey and statistical analysis
Taghavi and Beauregard (2020)	Literature Review	Identifying significant gaps in the association between lean and Industry 4.0. in the literature	Big Data, Cloud Computing, Digitalization, Artificial Intelligent, Augmented Reality, Cyber–physical System, Internet of Things, Simulation	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous Flow, PDCA, Hoshin Kanri	Systematic literature review
Pagliosa et al. (2021)	Literature Review	Carrying out a literature review to define the relationships between Industry 4.0 and lean manufacturing	Cyber Physical System, Smart Factory, Internet of Things	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous Flow, PDCA, Hoshin Kanri	Systematic literature review
Florescu and Barabas (2022)	Conceptual	Analyzing the compatibility of Lean tools and Industry 4.0 technologies to create a framework model for their development and integration in manufacturing systems	Big Data, Cloud Computing, Digital Twin, Artificial Intelligent, Augmented Reality, Cyber–physical System, Internet of Things	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM	Framework model
Lobo Mesquita et al. (2022)	Literature Review	Establishing a framework for research endeavors that incorporate Industry 4.0, lean practices, and environmental sustainability	Big Data, Smart Machines, Artificial Intelligent, Augmented Reality, Internet of Things	JIT, TPM, VSM, Autonomation, 5S, Kanban	Systematic literature review
Ahmed et al. (2023)	Empirical	Proposing a framework that combines Lean Six Sigma and simulation applications to enhance efficiency and reduce waste in an LED manufacturing company	Simulation, Agent-based Model	Lean Six Sigma	DMAIC and DMADV
Narula et al. (2023)	Empirical	Introducing a conceptual model that illustrates the influence of Industry 4.0 technologies on lean tools	Internet of Things, Simulation, Big Data, Cloud Computing, Augmented Reality	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous flow, PDCA, Hoshin Kanri	A questionnaire-based survey, Statistical analysis and BWM
Rossini et al. (2023)	Literature Review	Engaging in a literature review focused on the integration of Industry 4.0 and lean supply chain management	Smart machines, Digitalization, Internet of Things	JIT	Systematic literature review
Singhal et al. (2024)	Literature Review	Conducting a literature review on lean practices and TQM approaches for creating a sustainable supply chain within the context of Industry 4.0	Big Data, Internet of Things, Cloud Computing	JIT, TQM	Systematic literature review
Rathi et al. (2024)	Empirical	Providing guidelines for enterprises to integrate the LSS approach with blockchain technology	Blockchain	Lean Six Sigma	Literature Review and BLSS model
Kumar et al. (2024)	Empirical	Determining the critical success factors for integrating LSS implementation with Industry 4.0 in Indian manufacturing industry	Big Data, Internet of Things	Lean Six Sigma	Interpretive structural modeling and MICMAC
This study	Empirical	Integrating LSS implementation and supply chain operations within the framework of the Industry 4.0 concept	Smart machine, Image processing, Internet of things, Blockchain	Lean Six Sigma, VSM, 5S, Kaizen, A3 problem solving, CONWIP	ANP + Goal Programming, Axiomatic Design, Framework model

Authors	Research type	Contribution	Industry 4.0 technologies	Lean techniques	Methodology
Sanders et al. (2016)	Empirical	Identifying the specific aspects of Industry 4.0 that contribute to various dimensions of lean manufacturing	Internet of things, Smart machines, Monitoring, Machine learning, Cloud Computing	JIT, SMED, Pull Production, TPM, Continuous Flow	Reviewing the literature and determining appropriate solution principles
Jayaram (2016)	Conceptual	Designing a supply chain management model utilizing Industry 4.0 techniques to minimize waste and enhance quality	Internet of things, Smart machines, Monitoring, Cloud Computing	Lean Six Sigma	Logistic model
Wagner et al. (2017)	Conceptual	Developing a framework to assess the impact of Industry 4.0 on lean production systems for industrial companies	Big Data, Internet of things, Cyber–physical System	5S, Kaizen, JIT, Jidoka, Heijunka, Standardization, Pull System	Statistic research and design framework
Tortorella and Fettermann (2018)	Empirical	Exploring the correlation between lean production practices and the adoption of Industry 4.0 in Brazilian manufacturing companies	Big Data, Cloud Computing, Internet of Things, Simulation	JIT, Pull System, One piece flow, Supplier feedback	Questionnaire development and data collection, clustering of data statistical analysis
Varela et al. (2019)	Empirical	Suggesting a structural equation model for the quantitative measurement of the effects of Lean Manufacturing and Industry 4.0 on sustainability	Big Data, Cloud Computing, Digitalization, Autonomous Robots	Pull Production, Poka-Yoke, Jidoka	A questionnaire-based survey and statistical analysis
Rossini et al. (2019)	Empirical	Exploring the influence of the relation between the adoption of Industry 4.0 technologies and the implementation of lean production practices on the enhancement of operational performance in European manufacturing companies	Big Data, Cloud Computing, Digitalization, Artificial Intelligent, Augmented Reality, Cyber–physical System, Internet of Things, Simulation	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous flow, PDCA, Hoshin Kanri	A questionnaire-based survey and statistical analysis
Ahmed et al. (2020)	Empirical	To demonstrate three simulations, compare within a Lean Six Sigma project	Simulation, Agent-based Model	Lean Six Sigma	Discrete-event simulation
Rosin et al. (2020)	Conceptual	Investigating the impact of Industry 4.0 principles on lean techniques while considering their effects in relation to capability levels	Cloud Computing, Big Data, Simulation, Autonomous Robots, System integration	JIT, Jidoka	Classification
Kamble et al. (2020)	Empirical	Investigating the effects of Industry 4.0 and lean manufacturing practices on sustainable organizational performance	Cloud Computing, Big Data, Internet of Things, Augmented Reality, Robotics System	Supplier Feedback, JIT, Pull systems, Continuous Flow, SMED, TPM	A questionnaire-based survey and statistical analysis
Taghavi and Beauregard (2020)	Literature Review	Identifying significant gaps in the association between lean and Industry 4.0. in the literature	Big Data, Cloud Computing, Digitalization, Artificial Intelligent, Augmented Reality, Cyber–physical System, Internet of Things, Simulation	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous Flow, PDCA, Hoshin Kanri	Systematic literature review
Pagliosa et al. (2021)	Literature Review	Carrying out a literature review to define the relationships between Industry 4.0 and lean manufacturing	Cyber Physical System, Smart Factory, Internet of Things	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous Flow, PDCA, Hoshin Kanri	Systematic literature review
Florescu and Barabas (2022)	Conceptual	Analyzing the compatibility of Lean tools and Industry 4.0 technologies to create a framework model for their development and integration in manufacturing systems	Big Data, Cloud Computing, Digital Twin, Artificial Intelligent, Augmented Reality, Cyber–physical System, Internet of Things	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM	Framework model
Lobo Mesquita et al. (2022)	Literature Review	Establishing a framework for research endeavors that incorporate Industry 4.0, lean practices, and environmental sustainability	Big Data, Smart Machines, Artificial Intelligent, Augmented Reality, Internet of Things	JIT, TPM, VSM, Autonomation, 5S, Kanban	Systematic literature review
Ahmed et al. (2023)	Empirical	Proposing a framework that combines Lean Six Sigma and simulation applications to enhance efficiency and reduce waste in an LED manufacturing company	Simulation, Agent-based Model	Lean Six Sigma	DMAIC and DMADV
Narula et al. (2023)	Empirical	Introducing a conceptual model that illustrates the influence of Industry 4.0 technologies on lean tools	Internet of Things, Simulation, Big Data, Cloud Computing, Augmented Reality	VSM, Kaizen, Kanban, JIT, SMED, Poka-Yoke, Jidoka, TPM, Standardization, Continuous flow, PDCA, Hoshin Kanri	A questionnaire-based survey, Statistical analysis and BWM
Rossini et al. (2023)	Literature Review	Engaging in a literature review focused on the integration of Industry 4.0 and lean supply chain management	Smart machines, Digitalization, Internet of Things	JIT	Systematic literature review
Singhal et al. (2024)	Literature Review	Conducting a literature review on lean practices and TQM approaches for creating a sustainable supply chain within the context of Industry 4.0	Big Data, Internet of Things, Cloud Computing	JIT, TQM	Systematic literature review
Rathi et al. (2024)	Empirical	Providing guidelines for enterprises to integrate the LSS approach with blockchain technology	Blockchain	Lean Six Sigma	Literature Review and BLSS model
Kumar et al. (2024)	Empirical	Determining the critical success factors for integrating LSS implementation with Industry 4.0 in Indian manufacturing industry	Big Data, Internet of Things	Lean Six Sigma	Interpretive structural modeling and MICMAC
This study	Empirical	Integrating LSS implementation and supply chain operations within the framework of the Industry 4.0 concept	Smart machine, Image processing, Internet of things, Blockchain	Lean Six Sigma, VSM, 5S, Kaizen, A3 problem solving, CONWIP	ANP + Goal Programming, Axiomatic Design, Framework model

Note(s): JIT: Just-in-time, VSM: Value Stream Mapping, TPM: Total Productive Maintenance, PDCA: Plan-Do-Check-Act, SMED: Single-Minute Exchange of Die, DMAIC: Define-Measure-Analyze-Improve- Control, DMADV: Define- Measure- Analyze- Design- Verify, BWM: Best-Worst Method, ANP: Analytic Network Process, TQM: Total Quality Management, BLSS: Blockchain and Lean Six Sigma

Source(s): Table created by authors

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