Literature review of lean, agile, resilient, green (LARG) in automotive manufacturing industry

Open Access

Issue		BIO Web Conf. Volume 159, 2025 10^th International Conference on Sustainable Agriculture, Food, and Energy (SAFE 2024)


Article Number		02002
Number of page(s)		10
Section		Sustainability Development and Management
DOI		https://doi.org/10.1051/bioconf/202515902002
Published online		05 February 2025

F. Sunmola, O. R. Mbafotu, O. R., M. L. Salihu-Yusuf, and H. O. Sunmola, “Lean green practices in Automotive Components Manufacturing”. 5th International Conference on Industry 4.0 and Smart Manufacturing 2024, 2001-2008, 2024. [Google Scholar]
A. Palange, & P. Dhatrak, “Lean manufacturing a vital tool to enhance productivity in manufacturing”. 2nd International Conference on Manufacturing Material Science and Engineering, Materials Today: Proceedings 46, 729-736, 2021. [CrossRef] [Google Scholar]
J. A. Garza-Reyes, E. M. Ates, & V. Kumar, “Measuring lean readiness through the understanding of quality practices in the Turkish automotive suppliers industry”. International Journal of Productivity and Performance Management, vol. 64, no. 8, pp. 1092-1112, 2015. [CrossRef] [Google Scholar]
R. Shah, &P. T. Ward, “Lean Manufacturing: Context, Practice Bundles and Performance”. Journal of Operation Management, vol. 21, pp. 129, 2003. https://doi.org/10.1016/S0272-6963(02)00108-0. [CrossRef] [Google Scholar]
D. Sabadka, “Innovation Lean Principles in Automotive Green Manufacturing”. Acta Logistica, vol. 1, no.4, pp. 23-27, 2014. [CrossRef] [Google Scholar]
F. L. Mohd Zamri, N. F. Habidin, S. N. Hibadullah, N. Mohd Fuzi, &A. F. N. C. Desa, “Green Lean Six Sigma and Managerial Innovation in Malaysian Automotive Industry”. International Journal of Innovation and Applied Studies, vol. 4, no. 2, pp. 366-374, 2013. [Google Scholar]
R. Sekhar, N. Solke, & P. Shah, “Lean Manufacturing Soft Sensors for Automotive Industries”. Appl. Syst. Innov., vol. 6, no. 22, pp. 1-30, 2013. [Google Scholar]
A. Sanders, C. Elangeswaran, & J. Wulfsberg, “Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing”. J. Ind. Eng. Manag., vol. 9, no. 3, pp. 811-833, 2016. [Google Scholar]
Y. Bouazza, A. Lajjam, B. Dkhissi, “ The Impact of Lean Manufacturing on Environmental Performance in Moroccan Automotive Industry”. Management Systems in Production Engineering, vol. 29, no. 3, pp. 184-192, 2021. [CrossRef] [Google Scholar]
S. Gupta, & L. Vijayvargy, “Selection of Green Supplier in Automotive Industry: An Expert Choice Methodology”. IOP Conf. Series: Earth and Environmental Science, vol. 795 (2021) 012036, 2021. doi:10.1088/1755-1315/795/1/012036 [CrossRef] [Google Scholar]
A. N. Haq, V. Boddu, “Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach”. J Intell Manuf., vol. 28, pp. 1-12, 2017. [CrossRef] [Google Scholar]
M. R. Galankashi, S. A. Helmi, R. H. Rahim, Abd. & M. F. Rafiei, “Agility assessment in manufacturing companies”. Benchmarking: An International Journal, vol. 26, no. 7, pp. 2081-2104, 2019. [CrossRef] [Google Scholar]
B. R. Jothi, M. D. Abdulrahman, & M. Yuvaraj, “Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model”. Socio-Economic Planning Sciences, vol. 85, 101401, 2023. [CrossRef] [Google Scholar]
O. Revutska, & K. Antlová, “Application of Agile Management Approaches in Selected Automotive Companies in Liberec and Central Bohemian Regions”. E&M Economics and Management, vol. 25, no. 3, pp. 174-189, 2022. https://doi.org/10.15240/tul/001/2022-3-011. [Google Scholar]
D. S. Fowler, G. Epiphaniou, M. D. Higgins, & C. Maple, “Aspects of resilience for smart manufacturing systems”, Strategic Change, vo. 205, pp. 1-11, 2023. [Google Scholar]
A. L. Sambowo, & A. Hidayatno, “Resilience Index Development for the Manufacturing Industry based on Robustness, Resourcefulness, Redundancy, and Rapidity”. International Journal of Technology, vol. 12, no. 6, pp. 1177-1186, 2021. [CrossRef] [Google Scholar]
M. A. Kaviani, M. Tavana, F. Kowsari, & R. Rezapour, “Supply chain resilience: a benchmarking model for vulnerability and capability assessment in the automotive industry”, Benchmarking: An International Journal, vol. 27, no. 6, pp. 1929-1949, 2020. [CrossRef] [Google Scholar]
S. Kolasani, “Revitalizing Mobility: Understanding the Supply Chain Challenges, Opportunities, strategies, and Resilience in the EV and Automotive Revolution”. International Journal of Creative Research in Computer Technology and Design, vol. 6, no. 6, pp. 1-15, 2024. [Google Scholar]
S. Arsovski, P. Andre, M. Đorđević, & A. Aleksić, “Resilience of Automotive Sector: A Case Study”. 4th International Quality Conference, Center for Quality, Faculty of Mechanical Engineering, May 19th 2010, University of Kragujevac, 89-104, 2010. [Google Scholar]
[20] B. Nunes, & D. Bennett, “Green operations initiatives in the automotive industry: An environmental reports analysis and benchmarking study”. Benchmarking An International Journal, vol. 17, no. 3, pp. 396-420, 2010. [CrossRef] [Google Scholar]
S. Luthra, D. Garg, & A. Haleem, “Green Supply Chain Practices Implementation in Indian Automobile Industry”. Proceedings of International conference on Smart Technologies for Mechanical Engineering At: Delhi Technological University, New Delhi on October 25-26, 448-456, 2013. [Google Scholar]
S. Duarte, & V. C. Machado, “Green and lean implementation: an assessment in the automotive industry”, International Journal of Lean Six Sigma, vol. 8, no. 1, pp. 65-88, 2017. [CrossRef] [Google Scholar]
A. Britsche, & M. Fekete, “Supply Chain Resilience in the European Automotive Industry”. Management Systems in Production Engineering, vol. 32, no. 3, pp. 380-400, 2024. [CrossRef] [Google Scholar]
B. Sweeney, G. Mordue, & J. Carey, “Resilient or resistant? Critical reflections on resilience in an old industrial region”. Geoforum, vol. 110, pp. 125-135, 2020. [CrossRef] [Google Scholar]
S. G. Azevedo, P. Fazendeiro, & V. C. Machado, “A Fuzzy LARG Index Model to the Automotive Supply Chain. Airports and the Automotive Industry: Security Issues, Economic Efficiency and Environmental Impact”. In book: Airports and the Automotive Industry: Security Issues, Economic Efficiency and Environmental Impact Publisher: NOVA Publishers, 2013. [Google Scholar]
H. Carvalho, & V. Cruz-Machado, “Integrating Lean, Agile, Resilience and Green Paradigms in Supply Chain Management (LARG_SCM)”. In Supply Chain Management, edited by Pengzhong Li, 27-48. Croatia: InTech., 2021. [Google Scholar]
H. Carvalho, S. Duarte, & V. C. Machado, “Lean, Agile, Resilient and Green: Divergencies and Synergies”. International Journal of Lean Six Sigma, vol. 2, no. 2, pp. 151-179, 2011. [CrossRef] [Google Scholar]
I. Cabral, A. Grilo, & V. C. Machado, “A Decision-Making Model for Lean, Agile, Resilient and Green Supply Chain Management”. International Journal of Production Research, vol. 50, no. 8, pp. 4830-4845, 2012. [CrossRef] [Google Scholar]
M. Maleki, & V. C. Machado, “Generic Integration of Lean, Agile, Resilient, and Green Practices in Automotive Supply Chain”. Revista De Management Comparat International, vol. 14, no. 2, pp. 237, 2013. [Google Scholar]
P. Fazendeiro, S. G. Azevedo, & V. Cruz-Machado, “A Framework Proposal to Assess the LARG Index of a Supply Chain in a Fuzzy Context”. Research Methods: Concepts, Methodologies, Tools, and Applications, vol. 1, no. 4, pp. 299-320, 2013. [Google Scholar]
S. G. Azevedo, K. Govindan, H. Carvalho, & V. Cruz-Machado, “An integrated model to assess the leanness and agility of the automotive industry”. Resources, Conservation and Recycling, vol. 66, pp. 85-94, 2012. [CrossRef] [Google Scholar]
S. E. A. El Ahmadi, & L. El Abbadi, “Resilience of Assembly Lines in Automotive Industry”. Proceedings of the 7th North American Int. Conf. on Industrial Engineering and Operations Management, Orlando, Florida, USA, June 12-14, 2022. [Google Scholar]
S. B. Khot, & S. Thiagarajan, “Resilience and sustainability of supply chain management in the Indian automobile industry”. International Journal of Data and Network Science, vol. 3, pp. 339-348, 2019. [CrossRef] [Google Scholar]
R. Balamurugan, R., Kirubagharan, & C. Ramesh, “Implementation of lean tools and techniques in a connecting rod manufacturing industry”. Mater Today Proc. vol. 33, pp. 3108-3113, 2020. [CrossRef] [Google Scholar]
T. Pombal, L. P. Ferreira, J. C. Sá, T.T. Pereira, & F. J. G. Silva, “ Implementation of lean methodologies in the management of consumable materials in the maintenance workshops of an industrial company”. Procedia Manuf., vol. 38, pp. 975-982, 2019. [CrossRef] [Google Scholar]
G. Soni, & R. Kodali, “Evaluating reliability and validity of lean, agile and leagile supply chain constructs in Indian manufacturing industry”. Production Planning and Control, vol. 23, no. 10-11, pp. 864-884, 2012. [CrossRef] [Google Scholar]
K. Govindan, M. Kaliyan, D. Kannan, & A. N. Haq, “Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process”. International Journal of Production Economics, vol. 147, pp. 555-568, 2014. [CrossRef] [Google Scholar]
B. T. Hazen, C. Cegielski, & J. B. Hanna, “Diffusion of green supply chain management: Examining perceived quality of green reverse logistics”. The International Journal of Logistics Management, vol. 22, no. 3, pp. 373-389, 2011. [CrossRef] [Google Scholar]
N. S. Solke, P. Shah, R. Sekhar, & T. Singh, “Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry”. Glob. J. Flex. Syst. Manag., vol. 23, pp. 89-112, 2022. [CrossRef] [Google Scholar]
M. Alefari, K. Salonitis, & Y. Xu, “The role of leadership in implementing lean manufacturing”. Procedia CIRP vol. 66, pp. 85-94, 2017. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.