Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement

The purpose of this paper is to examine the moderating role of Industry 4.0 technologies on the relationship between lean production (LP) and operational performance improvement within Brazil, a developing economy context.,One representative from each of the 147 studied manufacturing companies filled in a survey on three internally related lean practice bundles and two Industry 4.0 technology bundles, with safety, delivery, quality, productivity and inventory as performance indicators. As this study was grounded on the contingency theory, multivariate data analyses were performed, controlling for four contingencies.,Industry 4.0 moderates the effect of LP practices on operational performance improvement, but in different directions. Process-related technologies negatively moderate the effect of low setup practices on performance, whereas product/service-related technologies positively moderate the effect of flow practices on performance.,With the advent of Industry 4.0, companies have been channelling their efforts to achieve superior performance by advancing levels of automation and interconnectivity. Eventually, widespread and proven manufacturing approaches, like LP, will integrate such technologies which may, in turn, impair or favour operational performance. Contrary to previous studies, the contingencies appeared to have a less extensive effect. The authors point to various options for further study across different socio-economic contexts. This study evidenced that purely technological adoption will not lead to distinguished results. LP practices help in the installation of organisational habits and mindsets that favour systemic process improvements, supporting the design and control of manufacturers’ operations management towards the fourth industrial revolution era.

[1]  Malte Brettel,et al.  How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective , 2014 .

[2]  Hajar Fatorachian,et al.  A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework , 2018 .

[3]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[4]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[5]  Peter T. Ward,et al.  Lean manufacturing: context, practice bundles, and performance , 2003 .

[6]  Klaus-Dieter Thoben,et al.  "Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples , 2017, Int. J. Autom. Technol..

[7]  Detlef Zühlke,et al.  Towards a lean automation interface for workstations , 2017, Int. J. Prod. Res..

[8]  Carl Marcus Wallenburg,et al.  Measurement and Moderation: Finding the Boundary Conditions in Logistics and Supply Chain Research , 2013 .

[9]  Ying Liu,et al.  A categorical framework of manufacturing for industry 4.0 and beyond , 2016 .

[10]  Giuliano Almeida Marodin,et al.  How context factors influence lean production practices in manufacturing cells , 2015 .

[11]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[12]  Andrew Manikas,et al.  Operational Leanness and Retail Firm Performance Since 1980 , 2018 .

[13]  C. Fornell,et al.  Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .

[14]  T. Bortolotti,et al.  Successful lean implementation: Organizational culture and soft lean practices , 2015 .

[15]  G. Tortorella,et al.  The interrelation between Industry 4.0 and lean production: an empirical study on European manufacturers , 2019, The International Journal of Advanced Manufacturing Technology.

[16]  A. V. D. Ven,et al.  Returning to the Frontier of Contingency Theory of Organizational and Institutional Designs , 2013 .

[17]  Maneesh Kumar,et al.  Determinants and barriers to lean implementation in food-processing SMEs – a multiple case analysis , 2016 .

[18]  Nick Rich,et al.  The seven value stream mapping tools , 1997 .

[19]  Helmut Zaiser,et al.  Competences for Cyber-physical Systems in Manufacturing – First Findings and Scenarios , 2014 .

[20]  Przemysław Zawadzki,et al.  Smart product design and production control for effective mass customization in the Industry 4.0 concept , 2016 .

[21]  Jeffrey K. Liker,et al.  Lean Product Development as a System: A Case Study of Body and Stamping Development at Ford , 2011 .

[22]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[23]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[24]  Daniel L. Oberski,et al.  lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models , 2014 .

[25]  Jiafu Wan,et al.  Industrie 4.0: Enabling technologies , 2015, Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things.

[26]  Albert Albers,et al.  Procedure for Defining the System of Objectives in the Initial Phase of an Industry 4.0 Project Focusing on Intelligent Quality Control Systems , 2016 .

[27]  Nekane Errasti,et al.  Three stage maturity model in SME’s toward industry 4.0 , 2016 .

[28]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[29]  Shahram Taj,et al.  The impact of lean operations on the Chinese manufacturing performance , 2011 .

[30]  Susan M Paddock,et al.  Bayesian Semi- and Non-parametric Models for Longitudinal Data with Multiple Membership Effects in R. , 2014, Journal of statistical software.

[31]  Reiner Anderl,et al.  Industrie 4.0 - Advanced Engineering of Smart Products and Smart Production , 2014 .

[32]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[33]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[34]  G. Tortorella,et al.  Industry 4.0 as a moderator on the relationship between lean and operational performance , 2018 .

[35]  Tarcisio Abreu Saurin,et al.  The impacts of lean production on working conditions: A case study of a harvester assembly line in Brazil , 2009 .

[36]  H. Walker,et al.  Theoretical perspectives in operations management: an analysis of the literature , 2015 .

[37]  Giuliano Almeida Marodin,et al.  Contextual factors and lean production implementation in the Brazilian automotive supply chain , 2016 .

[38]  K. Schermelleh-Engel,et al.  Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. , 2003 .

[39]  Vaibhav Gupta,et al.  Application of value stream mapping for lean operations and cycle time reduction: an Indian case study , 2005 .

[40]  J. W. Rogers,et al.  Implementing lean production systems: barriers to change , 2008 .

[41]  Javier Santos,et al.  A note on defining organisational systems for contingency theory in OM , 2018, Production Planning & Control.

[42]  Marko Mladineo,et al.  Transfer of Model of Innovative Smart Factory to Croatian Economy Using Lean Learning Factory , 2016 .

[43]  Michel J. Anzanello,et al.  The impacts of lean production on the complexity of socio-technical systems , 2018 .

[44]  Tingting Yan,et al.  The moderation of lean manufacturing effectiveness by dimensions of national culture: Testing practice-culture congruence hypotheses , 2014 .

[45]  Kim Hua Tan,et al.  Operational Excellence towards Sustainable Development Goals through Industry 4.0 , 2017 .

[46]  Jens P. Wulfsberg,et al.  Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing , 2016 .

[47]  Torbjørn H. Netland,et al.  Critical success factors for implementing lean production: the effect of contingencies , 2015 .

[48]  S. H. Husin,et al.  Production Monitoring System for Monitoring the Industrial Shop Floor Performance , .

[49]  Toni L. Doolen,et al.  A review of lean assessment in organizations: An exploratory study of lean practices by electronics manufacturers , 2005 .

[50]  R. Pellerin,et al.  The industrial management of SMEs in the era of Industry 4.0 , 2018, Int. J. Prod. Res..

[51]  Detlef Zühlke,et al.  SmartFactory - Towards a factory-of-things , 2010, Annu. Rev. Control..

[52]  P. Hines,et al.  Learning to evolve: A review of contemporary lean thinking , 2004 .

[53]  Mirka Kans,et al.  Automation Practices in Wood Product Industries : Lessons learned, current Practices and Future Perspectives , 2016 .

[54]  Giuliano Almeida Marodin,et al.  Lean manufacturing implementation: leadership styles and contextual variables , 2018 .

[55]  Nitin Seth,et al.  Application of value stream mapping (VSM) for lean and cycle time reduction in complex production environments: a case study , 2017 .

[56]  Diego Tlapa,et al.  Implementation of lean supply chain: an empirical research on the effect of context , 2017 .

[57]  Rachna Shah,et al.  Defining and developing measures of lean production , 2007 .

[58]  G. Tortorella,et al.  The mediating effect of employees’ involvement on the relationship between Industry 4.0 and operational performance improvement , 2018, Total Quality Management & Business Excellence.

[59]  Pietro Romano,et al.  A Systematic Literature Review on Recent Lean Research: State‐Of‐The‐Art and Future Directions , 2018 .

[60]  Taho Yang,et al.  A lean pull system design analysed by value stream mapping and multiple criteria decision-making method under demand uncertainty , 2011, Int. J. Comput. Integr. Manuf..

[61]  Jay Lee,et al.  Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .

[62]  Chris Butterworth,et al.  Value Stream Management , 1998 .

[63]  Nachiappan Subramanian,et al.  Assessing the readiness to implement lean in healthcare institutions – a case study , 2018 .

[64]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[65]  Sachin S. Kamble,et al.  Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives , 2018, Process Safety and Environmental Protection.

[66]  Guilherme Luz Tortorella,et al.  How does Industry 4.0 contribute to operations management? , 2018 .

[67]  P. Hines,et al.  The Lean journey: have we got it wrong? , 2020 .

[68]  J. Mathews,et al.  Accelerated internationalization by emerging markets' multinationals: The case of the white goods sector , 2007 .

[69]  C. Wilderom,et al.  Lean-team effectiveness through leader values and members’ informing , 2016 .

[70]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[71]  Fernando Deschamps,et al.  Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal , 2017, Int. J. Prod. Res..

[72]  Ole‐Kristian Hope,et al.  Financial Reporting Quality and Investment Efficiency of Private Firms in Emerging Markets , 2010 .

[73]  Detlef Zühlke,et al.  Lean Automation enabled by Industry 4.0 Technologies , 2015 .

[74]  V. Daniel R. Guide,et al.  Notes from the Editors: Redefining some methodological criteria for the journal ☆ , 2015 .

[75]  Erik Hofmann,et al.  Industry 4.0 and the current status as well as future prospects on logistics , 2017, Comput. Ind..

[76]  Kyle B. Stone Four decades of lean: a systematic literature review , 2012 .

[77]  José Luis Duarte Ribeiro,et al.  Identificação de oportunidades de pesquisa a partir de um levantamento da implantação da produção enxuta em empresas do Brasil e do exterior Identification of research opportunities based on a survey on lean production implementation conducted in Brazilian and foreign companies , 2010 .

[78]  José María Moreno-Jiménez,et al.  Structural equation modeling to identify the human resource value in the JIT implementation: case maquiladora sector , 2014, The International Journal of Advanced Manufacturing Technology.

[79]  Sanjay Bhasin,et al.  Performance of Lean in large organisations , 2012 .

[80]  Azharul Karim,et al.  A methodology for effective implementation of lean strategies and its performance evaluation in manufacturing organizations , 2013, Bus. Process. Manag. J..

[81]  H. Marsh,et al.  Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. , 1985 .

[82]  Giorgia Dal Pont,et al.  Complementarity and lean manufacturing bundles: an empirical analysis , 2011 .

[83]  Andreas Schumacher,et al.  A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises , 2016 .

[84]  Giuliano Almeida Marodin,et al.  The impact of contextual variables on learning organization in firms that are implementing lean: a study in Southern Brazil , 2015 .

[85]  P. Fettke,et al.  Industry 4.0 , 2014, Bus. Inf. Syst. Eng..

[86]  Celeste P.M. Wilderom,et al.  Human dynamics and enablers of effective Lean team cultures and climates. , 2012 .

[87]  Christopher A. Voss,et al.  Contingency research in operations management practices , 2008 .

[88]  Muris Lage Junior,et al.  Variations of the kanban system: Literature review and classification , 2010 .

[89]  F. Chan,et al.  The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda , 2018, Int. J. Prod. Res..

[90]  Joaquín B. Ordieres Meré,et al.  Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[91]  Torbjørn H. Netland,et al.  The S‐Curve Effect of Lean Implementation , 2016 .

[92]  Jayant Rajgopal,et al.  Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study , 2007 .

[93]  Johan Stahre,et al.  TOWARDS AN OPERATOR 4.0 TYPOLOGY: A HUMAN-CENTRIC PERSPECTIVE ON THE FOURTH INDUSTRIAL REVOLUTION TECHNOLOGIES , 2016 .

[94]  John Johansen,et al.  The evolution of investment patterns on advanced manufacturing technology (AMT) in manufacturing operations: A longitudinal analysis , 2018, International Journal of Production Economics.

[95]  Alice Erthal,et al.  National culture and organisational culture in lean organisations: a systematic review , 2018 .

[96]  Robert J. Vokurka,et al.  Improving Quality through Value Stream Mapping: A Case Study of a Physician's Clinic , 2006 .

[97]  G. Tortorella,et al.  Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies , 2018, Int. J. Prod. Res..