Supply Chain and Logistics Management in the Automotive Industry


  • Tienne Nhung Faculty of International Business and Economics, Vietnam National University, Vietnam



Supply Chain Management, Logistics, Automotive Industry


This examine investigates supply chain and logistics control practices inside the automobile enterprise, specializing in elements influencing deliver chain performance and organization profitability. The studies technique consists of stratified random sampling, device development, validation, and statistical analyses such as paired-samples t-take a look at, regression, ANCOVA, and Pearson correlational analyses. Descriptive records reveal key performance metrics, even as regression analyses show high-quality relationships between supply chain performance variables (inventory turnover, order achievement percentage, provider first-rate) and corporation profitability, controlling for corporation length. ANCOVA outcomes highlight mixed influences of deliver chain performance and organizational elements on profitability, while correlational analyses suggest robust positive correlations between stock turnover, order achievement percent, dealer high-quality, and organization profitability.


Download data is not yet available.


Bodendorf, F., Dentler, S., & Franke, J. (2023). Digitally enabled supply chain integration through business and process analytics. Industrial Marketing Management, 114, 14-31.

Egbuchilem, B., & Nwauzi, E. O. (2022). Environmental sustainability in the COVID-19 era: Impact and potential techniques of sustainability. Interdisciplinary Journal of Applied and Basic Subjects, 2(1), 23-40.

Gunawan, A., Pratikto, R., & Dartanto, T. (2020). Towards pro-poor industrial policies in Indonesia: Progress, challenges, and future directions. In Designing Integrated Industrial Policies Volume I (pp. 155-185). Routledge.

Ignaciuk, P., & Wieczorek, Ł. (2020). Continuous genetic algorithms in the optimization of logistic networks: Applicability assessment and tuning. Applied Sciences, 10(21), 7851.

Islam, S. M. U., Khan, S., Ahmad, H., Rahman, M. A. U., Tomar, S., & Khan, M. Z. (2022). Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique. Internet of Things and Cyber-Physical Systems, 2, 180-193.

Jalantina, D. I. K., & Minarsih, M. M. (2023). Increase customer loyalty by customer bonding and customer relationship management. Enrichment: Journal of Management, 13(2), 1618-1627.

Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, 203-217.

Khalaf, H. A., El-Hassan, W. S., Aldossari, A. T., & Alrasheed, H. S. (2021). Toward a female entrepreneurship education curriculum in Saudi Arabia. Journal of Entrepreneurship Education, 24(5), 1-22.

Kot, S. (2023). Development insights on supply chain management in small and medium-sized enterprises. Logos Verlag Berlin GmbH.

Kunovjanek, M., Knofius, N., & Reiner, G. (2022). Additive manufacturing and supply chains–a systematic review. Production Planning & Control, 33(13), 1231-1251.

Kurdi, B., Alzoubi, H., Alshurideh, M., Alquqa, E., & Hamadneh, S. (2023). Impact of supply chain 4.0 and supply chain risk on organizational performance: An empirical evidence from the UAE food manufacturing industry. Uncertain Supply Chain Management, 11(1), 111-118.

Li, Y., & Chen, T. (2023). Blockchain empowers supply chains: challenges, opportunities and prospects. Nankai Business Review International, 14(2), 230-248.

Mate, A., & Vishwasrao, R. (2023). Augmenting Capabilities of Advanced Planning and Scheduling Systems With Curated IIoT Data. In Digital Supply Chain, Disruptive Environments, and the Impact on Retailers (pp. 141-159). IGI Global.

Naghshineh, B., & Carvalho, H. (2022). Exploring the interrelations between additive manufacturing adoption barriers and supply chain vulnerabilities: the case of an original equipment manufacturer. Journal of Manufacturing Technology Management, 33(8), 1473-1489.

Panigrahi, R. R., Shrivastava, A. K., & Kapur, P. K. (2024). Impact of inventory management practices on the operational performances of SMEs: review and future research directions. International Journal of System Assurance Engineering and Management, 1-22.

Rahmayana, R., & Ahmad, S. (2021). Inventory Management Implementation Model based on SAK EMKM in Maintaining The Continuity of Micro and Small Businesses in Gorontalo City. International Journal of Innovative Science and Research Technology, 6(9), 111-118.

Sunmola, F., Mbafotu, O. R., Salihu-Yusuf, M. L., & Sunmola, H. O. (2024). Lean green practices in Automotive Components Manufacturing. Procedia Computer Science, 232, 2001-2008.

Thakkar, A., & Chaudhari, K. (2021). A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization. Archives of Computational Methods in Engineering, 28(4), 2133-2164.

Yang, M., Chen, L., Msigwa, G., Tang, K. H. D., & Yap, P. S. (2022). Implications of COVID-19 on global environmental pollution and carbon emissions with strategies for sustainability in the COVID-19 era. Science of the Total Environment, 809, 151657.

Zarbakhshnia, N., & Karimi, A. (2024). Enhancing third-party logistics providers partnerships: An approach through the DLARCS supply chain paradigm. Resources, Conservation and Recycling, 202, 107406.




How to Cite

Nhung, T. (2024). Supply Chain and Logistics Management in the Automotive Industry. Journal of Asian Multicultural Research for Economy and Management Study, 5(1), 27-33.