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1 – 10 of over 10000Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Shanay Rab, Rajiv Suman and Shahbaz Khan
Over the past few decades, lean manufacturing has focussed on being customer-centred and now Lean 4.0 technologies have made it possible for manufacturers to have a deeper view of…
Abstract
Purpose
Over the past few decades, lean manufacturing has focussed on being customer-centred and now Lean 4.0 technologies have made it possible for manufacturers to have a deeper view of waste reduction. Technologies such as the internet of things, artificial intelligence, three-dimensional printing, robotics, real-time data, cloud computing, predictive analytics and augmented reality, are helpful to achieve Lean 4.0. This study aims to develop the conceptual understanding of Lean 4.0, related tools and linkage with Industry 4.0. Further, it provides the strategies for implementing Lean 4.0, developing lean culture and highlights the Lean 4.0 application in the manufacturing context.
Design/methodology/approach
This study relates to Lean 4.0 and its technologies. Prominent research is identified through Scopus, Web of Science, ScienceDirect and Google Scholar and studied as per the objective of this study. This lean revolution provides customers desire for personalisation, connectedness, high-quality and valuable products. Lean 4.0 provides valuable information on the value chain and production process. This revolution has significantly impacted refining production processes for a greater level of adaptability and cost reduction.
Findings
This paper is brief about Lean 4.0 and its capabilities for the reduction of waste. The authors discussed different tools used in Lean 4.0 and its relationship with Industry 4.0. The classical strategies and progressive features of Lean 4.0 for overall enhancing the manufacturing sphere are discussed diagrammatically. Finally, it identified and discussed 14 significant applications of Lean 4.0 for manufacturing industries.
Originality/value
This study provides a comprehensive understanding of Lean 4.0 and related tools and strategies that help the upcoming manufacturing industries.
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Sanjiv Narula, Harish Puppala, Anil Kumar, Sunil Luthra, Maheshwar Dwivedy, Surya Prakash and Vishal Talwar
This study aims to propose a conceptual model indicating the impact of Industry 4.0 (I4.0) technologies on lean tools. Additionally, it prioritizes I4.0 technologies for the…
Abstract
Purpose
This study aims to propose a conceptual model indicating the impact of Industry 4.0 (I4.0) technologies on lean tools. Additionally, it prioritizes I4.0 technologies for the digital transformation of lean plants.
Design/methodology/approach
The authors conducted a questionnaire-based survey to capture the perception of 115 experts of manufacturing industries from Germany, India, Taiwan and China. The impact of I4.0 on lean tools, using analysis of variance (ANOVA). Further, the authors drew a prioritization map of I4.0 on the employment of lean tools in manufacturing, using the Best–Worst Method (BWM).
Findings
The findings indicate that cloud manufacturing, simulation, industrial internet of things, horizontal and vertical integration impact 100% of the lean tools, while both cyber-security, big data analytics impact 93% of the lean tools and advanced robotics impact 74% of the lean tools. On the other hand, it is observed that augmented reality and additive manufacturing will impact 21% and 14% of the lean tools, respectively.
Practical implications
The results of this study would help practitioners draw up a strategic plan and roadmap for implementing lean 4.0. The amalgamation of lean with I4.0 technologies in the right combination would enhance speed productivity and facilitate autonomous operations.
Originality/value
Studies exploring the influence of I4.0 on lean manufacturing lack comprehensiveness, testing and validation. Importantly, no studies in the recent past have explored mapping and prioritizing I4.0 technologies in the “lean” context. This study thereby attempts to establish a conceptual model, indicating the influence of I4.0 technologies on lean tools and presents the hierarchy of all digital technologies.
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Rose Clancy, Ken Bruton, Dominic T.J. O’Sullivan and Aidan J. Cloonan
Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital…
Abstract
Purpose
Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital transformation of their organisations. The purpose of this study is to provide a framework to guide quality practitioners with the implementation of digitalisation in their existing practices.
Design/methodology/approach
A review of literature assessed how quality management and digitalisation have been integrated. Findings from the literature review highlighted the success of the integration of Lean manufacturing with digitalisation. A comprehensive list of Lean Six Sigma tools were then reviewed in terms of their effectiveness and relevance for the hybrid digitisation approach to process improvement (HyDAPI) framework.
Findings
The implementation of the proposed HyDAPI framework in an industrial case study led to increased efficiency, reduction of waste, standardised work, mistake proofing and the ability to root cause non-conformance products.
Research limitations/implications
The activities and tools in the HyDAPI framework are not inclusive of all techniques from Lean Six Sigma.
Practical implications
The HyDAPI framework is a flexible guide for quality practitioners to digitalise key information from manufacturing processes. The framework allows organisations to select the appropriate tools as needed. This is required because of the varying and complex nature of organisation processes and the challenge of adapting to the continually evolving Industry 4.0.
Originality/value
This research proposes the HyDAPI framework as a flexible and adaptable approach for quality management practitioners to implement digitalisation. This was developed because of the gap in research regarding the lack of procedures guiding organisations in their digital transition to Industry 4.0.
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Gabriel Bertholdo Vargas, Jefferson de Oliveira Gomes and Rolando Vargas Vallejos
The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate…
Abstract
Purpose
The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.
Design/methodology/approach
The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.
Findings
The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.
Research limitations/implications
Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.
Practical implications
The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.
Originality/value
This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.
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The purpose of this research paper is to study the digital accelerators in conjunction with lean manufacturing enablers in the technology driven Industry 4.0 (I4.0) and understand…
Abstract
Purpose
The purpose of this research paper is to study the digital accelerators in conjunction with lean manufacturing enablers in the technology driven Industry 4.0 (I4.0) and understand their interrelationship dynamics with a goal to accelerate the pace of manufacturing excellence.
Design/methodology/approach
Literature review coupled with the focus group approach facilitated to cull the key accelerating enablers to lean in I4.0. Thereafter, application of the multi criteria decision making methodology–DEMATEL (Decision Making Trial and Evaluation Laboratory) was carried out for analysis.
Findings
A total of 18 factors from the integration of lean in I4.0 were identified from the focus group approach. The analysis from DEMATEL approach reflected that big data analytics and technology driven talent were the two most important factors in the manufacturing excellence journey. Leadership standard work and continuous improvement culture were the two key cause category factors, while, just in time the critical effect category factor.
Practical implications
Analysis from DEMATEL approach has provided useful insights to industry leaders with the details of the degree of importance and type of influencing factors. It has given them direction in areas of investment to face the challenges of smart factories of tomorrow for sustainability.
Originality/value
Application of DEMATEL approach for analyzing the dynamics of the 18 factors in the integrated lean systems in I4.0 for manufacturing excellence.
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Bassel Kassem, Maira Callupe, Monica Rossi, Matteo Rossini and Alberto Portioli-Staudacher
Prior to managing a company’s processes in the presence of a combination of paradigms, there is a need to understand their underlying interaction. This paper systematically…
Abstract
Purpose
Prior to managing a company’s processes in the presence of a combination of paradigms, there is a need to understand their underlying interaction. This paper systematically reviews the existing literature that discusses the interaction between lean production (LP) and the fourth industrial revolution (i.e. Industry 4.0). The study aims to understand how the interaction unfolds and whether it is synergistic.
Design/methodology/approach
The research relies on a systematic literature review of peer-reviewed articles from Scopus and Web of Science that discuss the interaction between the two paradigms. The final set of articles pertaining to the topic was analysed.
Findings
The article presents that the interaction between the two paradigms occurs through a representation of the pillars of the House of Lean (HoL) interacting with the nine technological pillars of Industry 4.0. There is a consensus on the synergistic nexus among the pillars and their positive impact on operational performance. We also demonstrate the weights of the interactions between the two paradigms and the areas of operations management where this interaction takes place through Sankey charts. Our research indicates that the largest synergistic interaction occurs between just-in-time and industrial Internet of Things (IIoT) and that companies should invest in IoT and cyber-physical systems as they have the greatest weight of interactions with the pillars of the HoL.
Research limitations/implications
This research facilitates a deeper insight into the interaction between LP and Industry 4.0 by organising and discussing existing research on the subject matter. It serves as a starting point for future researchers to formulate hypotheses about the interaction among the various pillars of LP and Industry 4.0, apply these interactions and test them through empirical research.
Practical implications
It could serve as a guide for managers to understand with which interactions they should start the digitalisation process.
Originality/value
With the rise in discussions on the interaction between the two paradigms, there is still an opportunity to understand the specificity of this interaction. Compared to the initial seminal works on the subject, such as Buer et al. (2018b), which investigated the direction of interaction between the two paradigms, this research contributes to further investigating this specificity and gaining a better understanding of the relationship governing the interaction between LP and Industry 4.0 by delineating the interaction state among the pillars of the two paradigms and its relevant importance.
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Diana Oliveira, Helena Alvelos and Maria J. Rosa
Quality 4.0 is being presented as the new stage of quality development. However, its overlying concept and rationale are still hard to define. To better understand what different…
Abstract
Purpose
Quality 4.0 is being presented as the new stage of quality development. However, its overlying concept and rationale are still hard to define. To better understand what different authors and studies advocate being Quality 4.0, a systematic literature review was undertaken on the topic. This paper presents the results of such review, providing some avenues for further research on quality management.
Design/methodology/approach
The documents for the systematic literature review have been searched on the Scopus database, using the search equation: [TITLE-ABS-KEY (“Quality 4.0”) OR TITLE-ABS-KEY (Quality Management” AND (“Industry 4.0” OR “Fourth Industr*” OR i4.0))]. Documents were filtered by language and by type. Of the 367 documents identified, 146 were submitted to exploratory content analysis.
Findings
The analyzed documents essentially provide theoretical discussions on what Quality 4.0 is or should be. Five categories have emerged from the content analysis undertaken: Industry 4.0 and the Rise of a New Approach to Quality; Motivations, Readiness Factors and Barriers to a Quality 4.0 Approach; Digital Quality Management Systems; Combination of Quality Tools and Lean Methodologies and Quality 4.0 Professionals.
Research limitations/implications
It was hard to find studies reporting how quality is actually being managed in organizations that already operate in the Industry 4.0 paradigm. Answers could not be found to questions regarding actual practices, methodologies and tools being used in Quality 4.0 approaches. However, the research undertaken allowed to identify in the literature different ways of conceptualizing and analyzing Quality 4.0, opening up avenues for further research on quality management in the Industry 4.0 era.
Originality/value
This paper offers a broad look at how quality management is changing in response to the affirmation of the Industry 4.0 paradigm.
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Pachayappan Murugaiyan and Panneerselvam Ramasamy
The paper aims to present a systematic literature review to analyze interrelated enablers of Industry 4.0 for implementation. Industry 4.0 is an integrated manufacturing strategy…
Abstract
Purpose
The paper aims to present a systematic literature review to analyze interrelated enablers of Industry 4.0 for implementation. Industry 4.0 is an integrated manufacturing strategy embedded with disruptive technologies. Adapting these technologies with the present industrial scenario is dependent on understanding the dynamics of various critical enablers in the existing literature. In this paper, an effort has been taken to validate and reinforce these enablers by experts in the field of Industry 4.0 for implementation.
Design/methodology/approach
A mixed-methodology is designed in this paper. A text mining approach with an expert’s linguistic assessment method is planned to discover the enablers from literature 2010 to 2019. The most critical enablers and their dependencies on other enablers are studied by using correlation analysis.
Findings
The research explores the power driving enablers in three groups: technology, features and requirements for implementing Industry 4.0 in the existing factory. In each group, a high degree of associated and dependent enablers is fragmented in detail.
Practical implications
This paper will benefit the research communities and practitioners to understand the significance of an integrated ecosystem of Industry 4.0 technologies, features and requirements for implementation.
Originality/value
The text mining approach integrated with expert’s linguistic assessment to explore the pairwise relationship among the enablers using word correlation is a novel approach in this paper. Moreover, to best of the authors’ knowledge, this is the first-ever attempt to conduct a structured literature review combined with text analysis and linguistic assessment to identify the enablers of Industry 4.0 for implementation.
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Imran Ali and Mohamed Gamal Shehata Aboelmaged
Despite considerable growth in literature on Industry 4.0 technologies, the research on the factors influencing the investment on these technologies in pursuit of supply chain 4.0…
Abstract
Purpose
Despite considerable growth in literature on Industry 4.0 technologies, the research on the factors influencing the investment on these technologies in pursuit of supply chain 4.0 is yet incipient. The study aims to fill this knowledge void by exploring the perceived drivers and barriers intertwined in the implementation of supply chain 4.0 in the context of food and beverage industry.
Design/methodology/approach
Qualitative exploratory research was employed involving 20 semi-structured interviews with senior managers from the Australian food and beverage supply chain. The interviews' data were analysed with VOSViewer software version 1.6.14.
Findings
The results unravel that reduction in supply-demand misalignment, fast-changing consumer's needs, threat of legal penalties and cost optimisation are the key drivers; whereas lack of collaboration, organisational inertia and lack of awareness are the critical barriers to implement supply chain 4.0.
Research limitations/implications
The study derives seven propositions and a theoretical framework that need to be empirically corroborated.
Practical implications
Understanding of drivers and barriers will help practitioners to make more informed decision in implementation of supply chain 4.0.
Social implications
Implementation of supply chain 4.0 can enhance the performance of the food and beverage industry, thus offering more job opportunities and sustained food supply.
Originality/value
This is the first study in exploring drivers and barriers to the implementation of supply chain 4.0; thus, adds new knowledge to the growing body of the literature. The paper introduces a novel method for qualitative data analysis contributing to the methodological development of the supply chain management field.
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Raquel Ottoboni Pavan, Marco Antonio Ferreira, Nelson Oliveira Stefanelli and Gislaine Camila Lapasini Leal
This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the…
Abstract
Purpose
This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.
Design/methodology/approach
To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.
Findings
The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.
Originality/value
This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.
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