A Comprehensive Review of Inventory Management in Automotive Parts Supply Chains
DOI:
https://doi.org/10.62051/ijgem.v6n2.12Keywords:
Automotive parts, Inventory classification, Supply-demand uncertainty, Inventory managementAbstract
The automotive manufacturing industry plays a pivotal role in China’s economy, with a steadily increasing market demand. Effective inventory management is crucial for ensuring service quality, cost control, and supply chain efficiency, particularly in the automotive parts manufacturing sector. This review synthesizes existing inventory classification methods and explores various inventory management strategies under supply chain uncertainties. By critically analyzing the current literature, this study identifies key research gaps and outlines future research directions. The findings provide a theoretical foundation for enhancing the precision and intelligence of inventory management while improving the industry's ability to mitigate supply chain uncertainties.
Downloads
References
[1] Zhang, L. Inventory Management Issues and Solutions in Automotive Parts Manufacturing Enterprises [J]. China Small and Medium Enterprises, 2023(04): 213-215.
[2] Bao, J., & Yan, X. An Improved Inventory Classification Method for Mechanical Manufacturing Parts Based on Information Entropy and AHP [J]. Logistics Technology, 2018, 41(06): 29-34.
[3] Li, J. Enterprise Inventory Management Based on the ABC Classification Method—A Case Study of Automotive Parts [J]. China Business Review, 2018(35): 99-100.
[4] Zowid F M, Babai M Z, Douissa M R, et al. Multi-criteria inventory ABC classification using Gaussian Mixture Model-ScienceDirect [J]. IFAC-PapersOnLine, 2019, 52(13): 1925-1930
[5] Cheng, Y. Research on Demand Forecasting and Inventory Control of Manufacturing Parts Under the ATO Model [D]. Xi'an: Xi'an Polytechnic University, 2019.
[6] Chen, X., Fan, B., & Wu, Q. Inventory Classification of Automotive Parts Based on Fuzzy Clustering Analysis [J]. Manufacturing Automation, 2020, 42(03): 110-116.
[7] May B I, Atkinson M P, Ferrer G. Applying inventory classification to a large inventory management system [J]. Journal of Operations and Supply Chain Management (JOSCM), 2017, 10(1): 68-86.
[8] Svoboda, Josef, and Stefan Minner. "Tailoring inventory classification to industry applications: the benefits of understandable machine learning." International Journal of Production Research 60.1 (2022): 388-401.
[9] Hou, D., Li, C., Zhao, S., et al. Research on Spare Parts Classification Method Based on Combined Weighting [J]. Manufacturing Automation, 2024, 46(1): 125-129. DOI:10.3969/j.issn.1009-0134.2024.01.025.
[10] Lu, M., & Tang, Q. A Review of Supply Chain Inventory Management Under Uncertainty [J]. Logistics Engineering and Management, 2024, 46(2): 43-46, 39. DOI:10.3969/j.issn.1674-4993.2024.02.011.
[11] Zhang, D. Robust Optimization Model for Periodic Inventory under Supply and Demand Uncertainty [D]. Northeastern University, 2022. DOI:10.27007/d.cnki.gdbeu.2018.001567.
[12] Zhang, J., & Zhang, J. Multi-Period Inventory Game under Supply Uncertainty [J]. Chinese Journal of Management Science, 2018, 26(4): 67-77. DOI:10.16381/j.cnki.issn1003-207x.2018.04.008.
[13] Li, Z., & Liang, M. Dynamic Supply Chain Inventory Strategy Selection Under Uncertain Demand [J]. Industrial Engineering and Management, 2018, 23(4): 23-29. DOI:10.19495/j.cnki.1007-5429.2018.04.004.
[14] Yang, P., Liu, T., He, Y., et al. Inventory Management Model for the Instrumentation Industry Based on Fuzzy Set Theory [J]. China Instrumentation, 2023(5): 72-76. DOI:10.3969/j.issn.1005-2852.2023.05.013.
[15] Saputro, T. E., Figueira, G., & Almada-Lobo, B. (2021). Integrating supplier selection with inventory management under supply disruptions. International Journal of Production Research, 59(11), 3304-3322.
[16] Alkahtani, M., Omair, M., Khalid, Q. S., Hussain, G., Ahmad, I., & Pruncu, C. (2021). A covid-19 supply chain management strategy based on variable production under uncertain environment conditions. International Journal of Environmental Research and Public Health, 18(4), 1662.
[17] Ding, P. Impact of Factory Production Capacity Variability on Supply Chain Inventory Decisions [J]. Computer Integrated Manufacturing Systems, 2014, 20(5): 1191-1198. DOI:10.13196/j.cims.2014.05.dingping.1191.8.20140522.
[18] Salas-Navarro K, Acevedo-Chedid J, Árquez G M, et al. An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach [J]. Journal of Advances in Management Research, 2019, 17(2): 282-304.
[19] Mitrović M, Popović D, Vidović M, et al. Order Level Optimization in Inventory Management Using Arena Simulation Model [J]. 2021.
[20] Nakhaeinejad M. The economic order quantity model with inspection policy of zero-defect single sampling [J]. International Journal of Quality & Reliability Management, 2021, 39(2): 521-536.
[21] Li J. Distributed Multi-level Inventory Algorithms for Automotive Maintenance Spare Parts Based on Centralized Control Model [J]. Jordan Journal of Mechanical & Industrial Engineering, 2020, 14(1).
[22] Ramos E, Pettit T J, Flanigan M, et al. Inventory management model based on lean supply chain to increase the service level in a distributor of automotive sector [J]. Int. J. Supply Chain Manag, 2020, 9(2): 113-131.
[23] Mehdizadeh M. Integrating ABC analysis and rough set theory to control the inventories of distributor in the supply chain of auto spare parts [J]. Computers & Industrial Engineering, 2020, 139: 105673.
[24] Fang X, Chen H C. Using vendor management inventory system for goods inventory management in IoT manufacturing [J]. Enterprise Information Systems, 2022, 16(7): 1885743.
[25] Ma, Q. Stochastic Inventory Control Model for Manufacturing Enterprises [J]. Journal of Shandong Jiaotong University, 2019, 27(02): 91-97.
[26] Chen, G., Wang, R., Su, B., et al. Optimization of Raw Material Inventory for Manufacturers Based on Predictable Order Cancellations [J]. Forecasting, 2021, 40(03): 69-75.
[27] Jiang, Y., & Hao, S. Joint Decision-Making Model for Distribution Demand Forecasting and Inventory Allocation Under Cloud Service Mode [J]. Manufacturing Automation, 2021, 43(10): 5-9.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Global Economics and Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.