Business ambience for implementing Just-in-sequence strategy – the automotive industry in Serbia: case study
DOI: https://doi.org/10.3846/jbem.2025.25440Abstract
Persistent issues in the automotive industry – such as delivery delays and frequent stock-outs – indicate that the vision of perfectly synchronized flows of raw materials, parts, and components within complex industrial production and logistics systems remains a significant challenge. To mitigate demand variability and uncertainty, companies often maintain high levels of safety stock, which significantly increases costs and erodes competitiveness. At the same time, such supply chains are characterized by limited responsiveness, resulting in unfulfilled targets related to reduced lead times and reliable customer deliveries. As a response, supply chains in the automotive sector are increasingly opting for the implementation of Just-in-Sequence (JIS) strategies to ensure adaptation to diverse product requirements and cost savings, as well as enhance both responsiveness and efficiency. Within this context, the objective of this research is to identify key elements necessary for the successful implementation of the JIS strategy in an automotive company. The research findings reveal notable differences in the perceptions of employees from Production, Logistics, and Sales sectors regarding the importance of the analysed variables and the potential for implementing a JIS strategy.
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Just-in-sequence, Just-in-time, supply chain, lead time, automotive, variablesHow to Cite
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References
Alvarez, L., Avella, L., & Martinez, R. (2024). Impact and critical factors in Heijunka implementation an action research study. Journal of Industrial Engineering and Management, 17(3), 753–776. https://doi.org/10.3926/jiem.6292
Anđelković, A. (2017). Implementation of Just-in-sequence concept in automotive industry – comparation of Austrian and Serbian model. Industry, 45(3), 83–99. https://doi.org/10.5937/industrija45-14466
Bányai, Á. (2023). New Models and Methods of Disrupted Supply Chains in the Industry 4.0 Era. Acta Technica Napocensis – Series: Applied Mathematics, Mechanics, and Engineering, 65(4S), 1003–1010.
Bányai, Á. (2024). the influence of procurement logistics strategy on organizational hierarchies: Strategic, tactical, and operational perspectives. Advanced Logistic Systems – Theory and Practice, 18(4), 73–88. https://doi.org/10.32971/als.2024.039
Bányai, T., Illés, B., Gubán, M., Gubán, A., Schenk, F., & Bányai, A. (2019). Optimization of just-in-sequence supply: A flower pollination algorithm-based approach. Sustainability, 11(14), Article 3850. https://doi.org/10.3390/su11143850
Bautista, J., & Fortuny-Santos, J. (2016). Improving “just-in-time, just-in-sequence” delivery in first-tier suppliers. Brazilian Journal of Operations & Production Management, 13(3), 286–298. https://doi.org/10.14488/BJOPM.2016.v13.n3.a6
Bose, S., Lesne, A., Arlinghaus, J., & Hutt, M. T. (2025). Just in time vs. all in sync: An analysis of two types of synchronization in a minimal model of machine activity in industrial production. PLOS Complex System 2(2), Article e0000033. https://doi.org/10.1371/journal.pcsy.0000033
Cedillo-Campos, M. G., Ruelas, D. M., Lizarraga-Lizarraga, G., Gonzalez-Feliu, J., & Garza-Reyes, J. A. (2017). Decision policy scenarios for just-in-sequence deliveries. Journal of Industrial Engineering and Management, 10(4), 581–603. https://doi.org/10.3926/jiem.2090
Choi, T. Y., Netland, T. H., Sanders, N., Sodhi, M. S., & Wagner, S. M. (2023). Just-in-time for supply chains in turbulent times. Production and Operations Management, 32, 2331–2340. https://doi.org/10.1111/poms.13979
Chopra, S., & Meindl, P. (2016). Supply chain management: strategy, planning, and operation (6th ed.). Pearson.
Christopher, M. (2016). Logistics & supply chain management. Pearson.
Falsafi, M., Marchiori, I., & Fornasiero, R. (2018). Managing disruptions in inbound logistics of the automotive sector. IFAC-PapersOnLine, 51(11), 376–381. https://doi.org/10.1016/j.ifacol.2018.08.322
Fan, G., Qi, W., Yu, Y., Liu, S., & Yuan, T. (2021). Research on improvement of moisture proof technology for JIS control cabinet of 220 kV substation based on big data. Journal of Physics: Conference Series, 2074(1), Article 012090. https://doi.org/10.1088/1742-6596/2074/1/012090
Frieske, B., & Stieler, S. (2022). The “semiconductor crisis” as a result of the COVID-19 pandemic and impacts on the automotive industry and its supply chains. World Electric Vehicle Journal, 13, Article 189. https://doi.org/10.3390/wevj13100189
Gnoni, M. G., Tornese, F., & Ante, G. (2017, September 13–17). Analyzing the transition from just-in-time to just-in-sequence: a simulation-based approach from the automotive sector. In M. Enea (Ed.), Proceedings of the XXII Summer School “Francesco Turco” – Industrial Systems Engineering, (pp. 89–95). Department of Industrial and Digital Innovation, University of Palermo, Palermo, Italy.
Heinecke, G., Lamparter, S., Lepratti, R., & Kunz, A. (2013). Advanced supply chain information for rule-based sequence adaptions on a mixed-model assembly line with unreliable just-in-sequence deliveries. IFAC Proceedings Volumes, 46(9), 1902–1907. https://doi.org/10.1016/j.pursup.2007.01.004
Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23–34. https://doi.org/10.1016/j.compind.2017.04.002
Hottenrott, A., Waidner, L., & Grunow, M. (2021). Robust car sequencing for automotive assembly. European Journal of Operational Research, 291(3), 983–994. https://doi.org/10.1016/j.ejor.2020.10.004
Hüttmeir, A., de Treville, S., van Ackere, A., Monnier, L., & Prenninger, J. (2009). Trading off between heijunka and just-in-sequence. International Journal of Production Economics, 118(2), 501–507. https://doi.org/10.1016/j.ijpe.2008.12.014
Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, Article 101922. https://doi.org/10.1016/j.tre.2020.101922
Jodlbauer, H., Brunner, M., Bachmann, N., Tripathi, S., & Thürer, M. (2023). Supply chain management: A Structured narrative review of current challenges and recommendations for action. Logistics, 7(4), Article 70. https://doi.org/10.3390/logistics7040070
Juhász, J. (2024). The role of industrial strategies in chemical production and service supply logistics processes. Advanced Logistic Systems – Theory and Practice, 18(3), 75–82. https://doi.org/10.32971/als.2024.030
Juhász, J., & Bányai, T. (2018). What Industry 4.0 means for just-in-sequence supply in automotive industry?. In K. Jármai & B. Bolló (Eds.), Vehicle and Automotive Engineering 2. VAE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75677-6_19
Juhász, J., & Bányai, T. (2021). Understanding the purchasing portfolio model – A just-in-sequence approach increasing manufacturing efficiency. Journal of Applied Engineering Science, 19(4), 926–933. https://doi.org/10.5937/jaes0-30742
Juhász, J., & Bányai, T. (2024). Implementation of ship-to-sequence supply strategies. Advanced Logistic Systems – Theory and Practice, 18(1), 99–106. https://doi.org/10.32971/als.2024.010
Klug, F. (2022a). Modelling oscillations in the supply chain: the case of a just in sequence supply process from the automotive industry. Journal of Business Economics, 92, 85–113. https://doi.org/10.1007/s11573-021-01049-6
Klug, F. (2022b). Synchronization and stability in automotive transportation networks. Naval Research Logistics, 70, 165–183. https://doi.org/10.1002/nav.22089
Lotfi, R., Khanbaba, A., Alkhazaleh, H. A., Changizi, M., Kadłubek, M., Aghakhani, S., & Ali, S. S. (2024). A viable supplier selection with order allocation by considering robustness, risk-averse and blockchain technology. Computers & Industrial Engineering, 193, Article 110319. https://doi.org/10.1016/j.cie.2024.110319
Lotfi, R., Mehrjardi, M. S., Ansari, P. M., Zolfaqari, F., & Afshar, M. (2023). Antifragile, sustainable, and agile supply chain network design by considering resiliency, robustness, risk, and environmental requirements, Environmental Science and Pollution Research, 30, 106442–106459. https://doi.org/10.1007/s11356-023-29488-4
Meissner, S. (2010). Controlling just-in-sequence flow-production. Logistics Research, 2(1), 45–53. https://doi.org/10.1007/s12159-010-0026-5
Milovanović, G., & Popović, G. (2019). The hyper-personalized supply chains. Industry 4.0, 4, 124– 127.
Molinaro, P. (2010). Lean supply chain and logistics management. McGraw-Hill.
Nguyen, H. G., Kuhn, M., & Franke, J. (2020). Manufacturing automation for automotive wiring harnesses. Procedia CIRP, 97, 379–384. https://doi.org/10.1016/j.procir.2020.05.254
Ohno, T. (1988). Toyota-production system: Beyond large-scale production. Productivity Press.
Olaniyi, O. A., Pugal, P. S., & Etim, M. (2024). Optimising inventory management strategies for cost reduction in supply chains: A systematic review. Jurnal Akuntansi dan Bisnis: Jurnal Program Studi Akuntansi, 10(1), 48–55. https://doi.org/10.31289/jab.v10i1.11678
Ostermeier, F. F., Jaehnert, J., & Deuse, J. (2023). Joint modelling of the order-dependent parts supply strategies sequencing, kitting and batch supply for assembly lines: Insights from industrial practice. Production & Manufacturing Research, 11(1), Article 2200808. https://doi.org/10.1080/21693277.2023.2200808
Papoutsidakis, M., Michael, S., Sfyroera, A., & Priniotakis, G. (2021). Just-in-sequence technologies to boost automotive supply chain effectiveness. Open Journal of Applied Sciences, 11, 9–19. https://doi.org/10.4236/ojapps.2021.111A002
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: Development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46–76. https://doi.org/10.1111/jbl.12009
Shingo, S. (1989). A study of the Toyota production system. Productivity Press.
Singh, K. R., & Modgil, S. (2023). Assessment of lean supply chain practices in Indian automotive industry. Global Business Review, 24(1), 68–105. https://doi.org/10.1177/0972150919890234
Thun, J. H., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242–249. https://doi.org/10.1016/j.ijpe.2009.10.010
Turi, A. (2024). Mitigating data inaccuracy and supply chain challenges in Western Romania’s automotive industry. Acta logistica, 11(3), 473–483. https://doi.org/10.22306/al.v11i3.533
Wagner, S. M., & Silveira-Camargos, V. (2011). Decision model for the application of just-in-sequence. International Journal of Production Research, 49(19), 5713–5736. https://doi.org/10.1080/00207543.2010.505216
Wagner, S. M., & Silveira-Camargos, V. (2012). Managing risks in just-in-sequence supply networks: Exploratory evidence from automakers. IEEE Transactions on Engineering Management, 59(1), 52–64. https://doi.org/10.1109/TEM.2010.2087762
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