Do Lean production and lean supply chain practices really improve operational performance?

Main Article Content

Gonzalo Maldonado-Guzmán

Abstract

Lean production practices and the implementation of lean thinking in the supply chain are not only aimed at reducing businesses' waste, but also at improving operational performance. This study aims to explore the integration of lean production into operational performance through lean supply chain. To this end, a survey was conducted on a sample of 460 manufacturing firms. The results show that lean production has a positive impact on operational performance, as does lean supply chain. Similarly, lean supply chain has a positive impact on operational performance, and also acts as a catalyst of the relationship between lean production and operational performance. In this context, the findings allow us to conclude that lean production improves the operational performance of manufacturing firms; however, when lean supply chain acts as a mediating variable, it significantly improves the company's operational performance.

Article Details

How to Cite
Maldonado-Guzmán, G. (2025). Do Lean production and lean supply chain practices really improve operational performance?. Tec Empresarial, 19(2), 39–52. https://doi.org/10.18845/te.v19i2.7904
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References

Ahmad, A., Mehra, S., & Pletcher, M. (2004). The perceived impact of JIT implementation on firm’s financial/growth performance. Journal of Manufacturing Technology Management, 15(2), 118-130. https://doi.org/10.1108/09576060410513715

Ahmed, W., & Huma, S. (2018). Impact of lean and agile strategies on supply chain risk management. Total Quality Management & Business Excellence, 32(1-2), 33-56. https://doi.org/10.1080/14783363.2018.1529558

Apte, U.M., & Goh, C.H. (2004). Applying lean manufacturing principles to information intensive services. International Journal of Services Technology and Management, 5(5-6), 488-506). https://doi.org/10.1504/IJSTM.2004.006280

Avelar-Sosa, L., Mataveli, M., & García-Alcaraz, J.L. (2018). Structural model to assess the relationship of manufacturing practices to delivery time in supply chains. The South Africa Journal of Industrial Engineering, 29(4), 218-229. http://dx.doi.org/10.7166/29-4-1670

Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327

Balakrishnan, R., Linsmeier, T.J., & Venkatachalam, M. (1996). Financial benefits from JIT adaption: Effects of customer concentration and cost structure. The Accounting Review, 71(2), 183-205. https://www.jstor.org/stable/248445

Berger, S.L., Tortorella, G.L., & Rodríguez, C.M. (2018). Lean supply chain management: A systematic literature review of practices, barriers and contextual factors inherent to its implementation. In Davim, J.J. (Ed.), Progress in Lean Manufacturing. Springer, pp. 39-68. https://doi.org/10.1007/978-3-319-73648-8_2

Callen, J.L., Fader, C., & Krinsky, I. (2000). Just-in-time: A cross-sectional plant analysis. International Journal of Production Economics, 63(3), 277-301. https://doi.org/10.1016/S0925-5273(99)00025-0

Carvalho, H., Govindan, K., Azevedo, S.G., & Cruz-Machado, V. (2017). Modelling green and lean supply chains: An eco-efficiency perspective. Resources Conservation and Recycling, 120(1), 75-87. https://doi.org/10.1016/j.resconrec.2016.09.025

Cua, K.O., McKone, K.E., & Schroeder, R.G. (2001). Relationship between implementation of TQM, JIT, and TPM and manufacturing performance. Journal of Operation Management, 19(6), 675-694. https://doi.org/10.1016/S0272-6963(01)00066-3

De Giovanni, G., & Cariola, A. (2021). Process innovation through industry 4.0 technologies, lean practice and green supply chain. Research in Transportation Economics, 90(1), 1-9. https://doi.org/10.1016/j.retrec.2020.100869

De Giovanni, P. (2017). Closed-loop supply chain coordination through incentives with asymmetric information. Annals of Operations Research, 253(1), 133-167. https://doi.org/10.1007/s10479-016-2334-x

De Giovanni, P., & Ramani, V. (2017). Product cannibalization and the effect of a service strategy. Journal of the Operational Research Society, 69(3), 340-357. https://doi.org/10.1057/s41274-017-0224-5

Dey, P.K., Malesios, C.D., Chowdhury, S., & Abdelaziz, F.B. (2019). Could lean practices and process innovation enhance supply chain sustainability of small and medium-sized enterprises. Business Strategy Environment, 28(4), 582-598. https://doi.org/10.1002/bse.2266

Digalwar, A., Rault, R.D., Yadav, V.S., Narkhede, B., Gardas, B.B., & Gotmare, A. (2020). Evaluation of critical constructs for measurement of sustainable supply chain practices in lean-agile firms pf Indian origin: A hybrid ISM-ANP approach. Business Strategy Environment, 29(3), 1575-1596. https://doi.org/10.1002/bse.2455

Dijkstra, T., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297-2316. https://www.jstor.org/stable/26628355

Ding, M.J., Jie, F., Parton, K.A., & Matanda, M.J. (2014). Relationship between quality of information sharing and supply chain food quality in the Australian beef processing industry. The International Journal of Logistics Management, 25(1), 85-108. https://doi.org/10.1108/IJLM-07-2012-0057

do Valle, P.O., & Assaker, G. (2015). Using partial least squares structural equation modeling in tourism research: A review of past research and recommendations for future applications. Journal of Travel Research, 55(6), 695-708. https://doi.org/10.1177/0047287515569

Farias, L.M.S., Santos, L.S., Gohr, C.F., & Rocha, L.O. (2019). An ANP-based approach to lean and green performance assessment. Resource, Conservation and Recycling, 143(1), 77-89. https://doi.org/10.1016/j.resconrec.2018.12.004

Filser, L.D., da Silva, F.F., & de Oliveira, O.J. (2017). State of research and future research tendencies in lean healthcare: A bibliometric analysis. Scientometrics, 112(2), 799-816. https://doi.org/10.1007/s11192-017-2409-8

Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104

Fullerton, R.R., McWatters, C.S., & Fawson, C. (2003). An examination of the relationship between JIT and financial performance. Journal of Operations Management, 21(4), 383-404. https://doi.org/10.1016/S0272-6963(03)00002-0

García-Buendía, N., Moyano-Fuentes, J., & Maqueira-Marín, J.M. (2021). Lean supply chain management and performance relationship: What has been done and what is left to do. CIRP Journal of Manufacturing Science and Technology, 32(2), 405-423. https://doi.org/10.1016/j.cirpj.2021.01.016

Grigg, N.P., Goodyer, J.E., & Frater, T.G. (2020). Sustaining lean in SMEs: Key findings from a 10-year study involving New Zealand manufacturers. Total Quality Management & Business Excellence, 31(5-6), 609-622. https://doi.org/10.1080/14783363.2018.1436964

Guo, Y., Yu, J., Boulaksil, Y., Allaoui, H., & Hu, F. (2021). Solving the sustainable supply chain network design problem by the multi-neighborhoods’ descent traversal algorithm. Computers & Industrial Engineering, 154(4), 1-10. https://doi.org/10.1016/j.cie.2021.107098

Gupta, S., Soni, U., & Kumar. G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136(4), 663-680. https://doi.org/10.1016/j.cie.2019.07.038

Habidin, N.F., Shazali, N.A., Ali, N., Khaidir, N.A., & Jamaludin, N.H. (2014). Exploring lean healthcare practice and supply chain innovation for Malaysian healthcare industry. International Journal of Business Excellence, 7(3), 394-410. https://doi.org/10.1504/IJBEX.2014.060782

Hadian, H., Chahardoli, S., Golmohammadi, A.M., & Mostafaeipour, A. (2020). A practical framework for supplier selection decisions with an application to the automotive sector. International Journal of Production Research, 58(10), 2997-3014. https://doi.org/10.1080/00207543.2019.1624854

Hair, J., Hult, T., Ringle, C., Sarstedt, M., Castillo, J., Cepeda, G., & Roldan, J. (2019). Manual de Partial Least Squares PLS-SEM. OmniaScience. http://hdl.handle.net/11420/5279

Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed, a silver bullet. Journal of Marketing Theory and Practice, 19(1), 139-151. https://doi.org/10.2753/MTP1069-6679190202

Hair, J.F., Sarstedt, M., Ringle, C.M., & Mena, J.A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(1), 414-433. https://doi.org/10.1007/s11747-011-0261-6

Hair, J.F., Sarstedt, M., Ringle, C.M., Gudergan, S.P., Castillo, J., Cepeda, G., & Roldan, J. (2021). Manual Avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience. http://hdl.handle.net/11420/9956

Henseler, J., Dijkstra, T.K., Sardstedt, M., Ringle, C.M., Diamantopoulos, A., & Straub, D.W. (2014). Common beliefs and reality about partial least squares: Comments on Rönkkö Y Everman (2013). Organizational Research Methods, 17(1), 182-209. https://digitalcommons.kennesaw.edu/facpubs/3666

Henseler, J., Ringle, C., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

Hofmann, F., & Jaeger-Erben, M. (2020). Organizational transition management of circular business model innovations. Business Strategy and the Enviroment, 29(6), 2770-2788. https://doi.org/10.1002/bse.2542

Holweg, M. (2007). The genealogy of lean production. Journal of Operations Management , 25(2), 420-437. https://doi.org/10.1016/j.jom.2006.04.001

Hu, L.T., & Bentler, P.M. (1998). Fit indices in covariance structure modeling: Sensitivity to under parameterized model misspecification. Psychological Methods, 3(1), 424-453. https://doi.org/10.1037/1082-989X.3.4.424

Huo, B., Wang, K., & Zhang, Y. (2021). The impact of leadership on supply chain green strategy alignment and operational performance. Operations Management Research, 14(1), 152-165. https://doi.org/10.1007/s12063-020-00175-8

Huson, M., & Nanda, D. (1995). The impact of just-in-time manufacturing on firm performance in the US. Journal of Operations Management , 12 (3/4), 297-310. https://doi.org/10.1016/0272-6963(95)00011-G

Jasti, N.V., & Kodali, R. (2015). Lean production: Literature review and trends. International Journal of Production Research, 53(3), 867-885. https://doi.org/10.1080/00207543.2014.937508

Jayaram, J., Tan, K.C., & Laosirihongthong, T. (2014). The contingency role of business strategy on the relationship between operations practices and performance. Benchmarking: An International Journal, 21(5), 690-712. https://doi.org/10.1108/BIJ-10-2012-0066

Karakadilar, I.S., & Hicks, B.J. (2015). Exploring the moderating role of lean production on supplier performance: An empirical study of Turkish automotive parts suppliers. Bogazici Journal, 29(2), 73-97. http://www.bujournal.boun.edu.tr/?sayfa=86

Kinney, M.R., & Wempe, W.F. (2002). Further evidence on the extent and origins of JIT’s profitability effects. The Accounting Review, 77(1), 203-225. https://doi.org/10.2308/accr.2002.77.1.203

Lamming, R. (1996). Squaring lean supply with supply chain management. International Journal of Operation and Production Management, 16(2), 183-196. https://doi.org/10.1108/01443579610109910

Li, S., Rao, S.S., Ragu-Nathan, T.S., & Ragu-Nathan, B. (2005). Development and validation of a measurement instrument for studying supply chain management practices. Journal of Operation Management, 23(6), 618-641. https://doi.org/10.1016/j.jom.2005.01.002

Losonci, D., & Demeter, K. (2013). Lean production and business performance: International empirical results. Competitiveness Review: An International Business Journal, 23(3), 218-233. https://doi.org/10.1108/10595421311319816

Lu, Z., Sun, X., Wang, Y., & Xu, C. (2019). Green supplier selection in straw biomass industry based on cloud model and possibility degree. Journal of Cleaner Production, 209(8), 995-1005. https://doi.org/10.1016/j.jclepro.2018.10.130

Maldonado-Guzmán, G., Pinzón-Castro, S.Y., & Garza-Reyes, J.A. (2023). Does the integration of lean production and Industry 4.0 in green supply chains generate a better operational performance? Journal of Manufacturing Technology Management, 34(7), 1120-1140. https://doi.org/10.1108/JMTM-02-2023-0034

Mathiyazhagan, K., Agarwal, V., Appolloni, A., Saikouk, T., & Hnanavelbabu, A. (2021). Integrating lean and agile practices for achieving global sustainability goals in Indian manufacturing industries. Technological Forecasting and Social Change, 171(6), 1-11. https://doi.org/10.1016/j.techfore.2021.120982

Matt, D.T., Arcidiacono, G., & Rauch, E. (2018). Applying lean to healthcare delivery process: Case-based research. International Journal of Advanced Science Engineering and Information Technology, 8(1), 123-133. DOI: 10.18517/ijaseit.8.1.4965

Mohammed, A., Harris, I., & Govindan, K. (2019). A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics, 217(5), 171-184. https://doi.org/10.1016/j.ijpe.2019.02.003

Mohammed, A., Harris, I., Soroka, A., Naim, M., Ramjaun, T., & Yazdani, M. (2021). Grisliest supplier assessment and order allocation planning. Annals of Operations Research , 296(1-2), 335-362. https://doi.org/10.1007/s10479-020-03611-x

Narashiman, R., Swink, M., & Kim, S.W. (2006). Disentangling leanness and agility: An empirical investigation. Journal of Operation Management, 24(5), 440-457. https://doi.org/10.1016/j.jom.2005.11.011

Ortiz-Barrios, M., Cabarcas-Reyes, J., Ishizaka, A., Barbati, M., Jaramillo-Rueda, N., & Carrascal-Zambrano, G. (2020). A hybrid fuzzy multi-criteria decision-making model for selecting a sustainable supplier of forklift filters: A case study from the mining industry. Annals of Operations Research , 307(1-2), 443-481. https://doi.org/10.1007/s10479-020-03737-y

Osman, A., Bahari, A.B., Solaiman, M., & Maumalat, K. (2015). Determinants of supply chain performance: A strategic point of view. International Journal of Supply Chain Management, 4(3), 94-102. http://excelingtech.co.uk/

Panwar, A., Nepal, B., Jain, R., Rathore, A.P., & Lyons, A. (2017). Understanding the linkage between lean practices and performance improvements in Indian process industries. Industrial Management & Data Systems, 117(2), 346-364. https://doi.org/10.1108/IMDS-01-2016-0035

Pinho, C., & Mendes, L. (2017). IT in lean-based manufacturing industries: Systematic literature review and research issues. International Journal of Production Research, 55(24), 7524-7540. https://doi.org/10.1080/00207543.2017.1384585

Pishchulov, G., Trautrims, A., Chesney, T., Gold, S., & Schwab, L. (2019). The voting analytic hierarchy process revisited: A revised method with application to sustainable supplier selection. International Journal of Production Economics, 211(4), 166-179. https://doi.org/10.1016/j.ijpe.2019.01.025

Piyathanavong, V., Garza-Reyes, J.A., Kumar, V., Maldonado-Guzmán, G., & Mangla, S.K. (2019). The adoption of operational environmental sustainability approach in the Thai manufacturing sector. Journal of Cleaner Production, 220(4), 507-526. https://doi.org/10.1016/j.jclepro.2019.02.093

Podsakoff, P.M., & Organ, D.W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531-544. https://doi.org/10.1177/014920638601200408

Podsakoff, P.M., MacKenzie, S.B., Jeong-Yeong, L. and Podsakoff, N.P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879

Pozzi, R., Strozzi, F., Rossi, T., & Noé, C. (2017). Quantifying the benefits of lean thinking adoption by the beer game supply chain. International Journal of Operational Research, 32(3), 350-363. https://doi.org/10.1504/IJOR.2018.092739

Rana, S.M., Osman, A., AbdulManaf, A.H., Solaiman, M., & Abdullah, M.S. (2016). Supply chain strategies and responsiveness: A study on retail China stores. International Business Management, 10(6), 849-857.

Redeker, G.A., Kessler, G.Z., & Kipper, L.M. (2019). Lean information for lean communication: Analysis of concepts, tools, references, and terms. International Journal of Information Management, 47(1), 31-43. https://doi.org/10.1016/j.ijinfomgt.2018.12.018

Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(1), 332-344. https://doi.org/10.1016/j.ijresmar.2009.08.001

Reves, J.A., Ates, E.M., & Kumar, V. (2015). Measuring lean readiness through the understanding of quality practices in the Turkish automotive industry. International Journal of Productivity and Performance Measurement, 64(8), 1092-1112. https://doi.org/10.1108/IJPPM-09-2014-0136

Rigdon, E.E, (2012). Rethinking partial least squares path modeling: In praise of simple methods: In praise of simple methods. Long Range Planning, 45(1), 341-358. https://doi.org/10.1016/j.lrp.2012.09.010

Ringle, C.M., Sarstedt, M., & Straub, D.W. (2012). A critical look at the use of PLS-SEM in MIS Quarterly. Mis Quarterly, 36(1), 3-14. https://doi.org/10.2307/41410402

Ringle, C.M., Wende, S., & Becker, J.M. (2022). SmartPLS 4 (computer software). http://www.smartpls.com

Ruiz-Benítez, R., López, C., & Real, J.C. (2018). The lean and resilient management of the supply chain and its impact on performance. International Journal of Production Economics, 203(6), 190-202. https://doi.org/10.1016/j.ijpe.2018.06.009

Sabogal-De la Pava, L.M., Vidal-Holguín, J.C., Manotas-Duque, F.D., & Bravo-Bastidas, J.J. (2021). Sustainable supply chain design considering indicators of value creation. Computers & Industrial Engineering, 157(7), 1-11. https://doi.org/10.1016/j.cie.2021.107294

Sarstedt, M., Ringle, C.M., Henseler, J., & Hair, J.F. (2014). On the emancipation of PLS-SEM: A commentary on Rigdon (2012). Long Range Planning, 47(1), 154-160. https://doi.org/10.1016/j.lrp.2014.02.007

Schonberger, R. (2007). Japanese production management: An evolution with mixed success. Journal of Operations Management , 25(2), 403-419. https://doi.org/10.1016/j.jom.2006.04.003

Sezen, B., Karakadilar, I.S., & Buyukozkan, G. (2012). Proposition of a model for measuring adherence to lean practices: Applied to Turkish automotive parts suppliers. International Journal of Production Research, 50(14), 3878-3894. https://doi.org/10.1080/00207543.2011.603372

Shah, R., & Ward, T. (2007). Defining and developing measures of lean production. Journal of Operation Management, 24(4), 3-24. https://doi.org/10.1016/j.jom.2007.01.019

Sharma, V., Rault, R.D., Mangla, S.K., Narkhede, B.F., Luthra, S., & Gokhale, R. (2020). A systematic literature review to integrate lean, agile, resilient, green, and sustainable paradigms in the supply chain management. Business Strategy and the Environment, 30(2), 1191-1212. https://doi.org/10.1002/bse.2679

Shoukohyar, S., & Seddigh, M.R. (2020). Uncovering the dark and bright sides of implementing collaborative forecasting throughout sustainable supply chain: An exploratory approach. Technological Forecasting and Social Change, 158(9), 1-10. https://doi.org/10.1016/j.techfore.2020.120059

Sonar, H., Gunasekaran, A., Agrawal, S., & Roy, M. (2022). Role of lean, agile, resilient, green, and sustainable paradigm in supplier selection. Cleaner logistics and Supply Chain, 4(1), 1-10. https://doi.org/10.1016/j.clscn.2022.100059

Tortorella, G., Saurin, T.A., Filho, M.G., Samson, D., & Kumar, M. (2021). Bundles of lean automation practices and principles and their impact on operational performance. International Journal of Production Economics, 235(5), 1-12. https://doi.org/10.1016/j.ijpe.2021.108106

Tortorella, G.L., Giglio, R., & Limon-Romero, J. (2018). Supply chain performance: How lean practices efficiently drive improvements. Journal of Manufacturing Technology Management, 29(5), 829-845. https://doi.org/10.1108/JMTM-09-2017-0194

Tortorella, G.L., Marodin, G., Fettermann, D., & Fogliatto, F. (2016). Relationships between lean product development enablers and problems. International Journal of Production Research, 54(10), 2837-2855. https://doi.org/10.1080/00207543.2015.1106020

Tortorella, G.L., Miorando, R., & Marodin, C.A. (2017). Lean supply chain management: Empirical research on practice, context and performance. International Journal of Production Economics, 193(1), 98-112. https://doi.org/10.1016/j.ijpe.2017.07.006

Tundys, B., Rzeczycki, A., & Fernando, Y. (2019). A framework for analysis of the supplier selection in green supply chain. International Journal of Production and Quality Management, 28(1), 40-67. https://doi.org/10.1504/IJPQM.2019.102441

Vafaeenezhad, T., Tavakkoli-Moghaddam, R., & Cheikhrouhhou, N. (2019). Multi-objective mathematical modeling for sustainable supply chain management in the paper industry. Computers & Industrial Engineering, 135(10), 1092-1102. https://doi.org/10.1016/j.cie.2019.05.027

Vonderembse, M.A., Uppal, M., Huang, S.H., & Dismukes, J.P. (2006). Designing supply chains: Towards theory development. International Journal of Production Economics, 100(2), 223-238. https://doi.org/10.1016/j.ijpe.2004.11.014

Wee, H.M., & Wu, S. (2009). Lean supply chain and its effect on product cost and quality: A case study on Ford Motor Company. Supply Chain Management: An international Journal, 14(5), 335-341. https://doi.org/10.1108/13598540910980242

Womack, J.P., & Jones, D.T. (1997). Lean thinking: Banish waste and create wealth in your corporations. Journal of the Operational Research Society, 48(11), 1148-1159. https://doi.org/10.1057/palgrave.jors.2600967

Zhang, M., & Qi, Y. (2013). Impact of supply chain strategy on mass customization implementation and effectiveness: Evidence from China. International Journal of Information and Decision Science, 5(4), 393-413. https://doi.org/10.1504/IJIDS.2013.058287