All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99

ViewsDownloads

Research on the Optimization of After-Sales Parts Supply Chain Management Based on Supplier Management—Taking SAIC General Motors After-Sales Parts as an Example

DOI: 10.4236/oalib.1104976, PP. 1-23

Subject Areas: Supply Chain Management

Keywords: Supply Chain Management, Aftermarket Parts Supply Chain, Supplier Management

Full-Text   Cite this paper   Add to My Lib

Abstract

Nowadays auto parts industry supply chain management is becoming a boom-ing industry which is full of opportunities and challenges. As a network node of supply chain, the reasonable optimization of the supplier not only affects the after-sales parts operating costs, operating performance, competitive strategy and the future development, but also affect the entire supply chain logistics cost, logistics strategy and competition strategy. Supply chain management re-search for Supplier management can effectively guide the auto parts manufacturers of the business environment, foster strengths and circumvent weaknesses, assess the situation, seize the moment, and gather more intense market competition in the future always maintain their advantage. Therefore, deeply studying the related theory of automobile after-sales spare parts supply chain, combined with the status quo and development trend of the automobile and accessories market in China, then optimization the basic model and operation strategy of automobile customer service parts supply chain in China, has a very important practical significance. Based on the customer service parts supply chain of SAIC General Motors, we analyze the operation characteristics and the status quo of this company; analyze the existing problems in the supply chain of the company’s after-sales parts. Firstly due to the historical reasons, and the lack of overall concept of the supply chain, supplier order delivery rate is low, information feedback is not timely, inventory pressure is high, and supply chain management system is imperfect. Secondly the incomplete information and inaccurate predictions lead to unreasonable warehouse storage; inventory turnover rate is low. Finally, the market demand and the information are not shared caused low company’s accessories sales and high proportion of transport costs. In the aspect of optimization design, firstly we analysis and improve reasonable management of suppliers, inventory structure, major items of operating costs and existing problems in SAIC General Motors. In the optimization design, we firstly analyse reasonable management of suppliers in order to reduce costs and in a timely manner to meet the market demand; Then the information integration of the parts system can scientifically synthesize information to reasonably predict sales volume, satisfy inventory optimization and strengthen cooperation with suppliers; Finally, adjust the structure of spare parts inventory according to the contact with the supplies; improve the company’s inventory turnover rate, to make the whole supply chain inventory structure more reasonable accessories, so as to reduce the company’s operating costs, improve customer satisfaction rate and satisfaction.

Cite this paper

Yu, Z. and Chen, Y. (2018). Research on the Optimization of After-Sales Parts Supply Chain Management Based on Supplier Management—Taking SAIC General Motors After-Sales Parts as an Example. Open Access Library Journal, 5, e4976. doi: http://dx.doi.org/10.4236/oalib.1104976.

References

[1]  Kessler, E.H. and Chakrabarti, A.K. (1996) Innovation Speed: A Conceptual Model of Context, Antecedents, and Outcomes. Academy of Management Review, 21, 1143-1191.
https://doi.org/10.5465/amr.1996.9704071866
[2]  Yli-Renko, H., Autio, E. and Sapienza, H. (2001) Social Capital, Knowledge Acquisition, and Knowledge Exploitation in Young Technology-Based Firms. Strategic Management Journal, 22, 587-613.
https://doi.org/10.1002/smj.183
[3]  Miotti, L. and Sachwald F. (2003) Co-Operative R&D: Why and with Whom? An Integrated Framework of Analysis. Research Policy, 32, 1481-1499.
https://doi.org/10.1016/S0048-7333(02)00159-2
[4]  Naude, P. and Buttle, F. (2000) Assessing Relationship Quality. Indus-trial Marketing Management, 29, 351-361.
https://doi.org/10.1016/S0019-8501(00)00112-7
[5]  William, H., Xu, X.W. and Prasanta, K.D. (2010) Multicriteria Decision Making Approaches for Supplier Evaluation and Selection: A Literature Review. Euro-pean Journal of Operational Research, 202, 16-24.
https://doi.org/10.1016/j.ejor.2009.05.009
[6]  Wu, C. and Barnes, D. (2011) A Literature Review of Decision-Making Models and Approaches for Partner Selection in Agile Supply Chains. Journal of Purchasing & Supply Management, 17, 256-274.
https://doi.org/10.1016/j.pursup.2011.09.002
[7]  Tam, C.Y. and Tummala, V.M. (2011) An Application of the AHP in Vendor Selection of a Telecommunications System. International Journal of Management Science, 29, 171-182.
[8]  Ou, P.Y., Wang, Y.L. and Wang, P.X. (2007) The Study of Supplier Selection and Evaluation Based on ABC Approach. Management Review, 19, 46-51.
[9]  Li, L.H. and Jiang, J. (2012) A Fuzzy Measuring Method Based on 2-Tuple Linguistic Consistency for Supply Performance of Military Product Suppliers. Systems Engineering-Theory & Practice, 32, 373-379.
[10]  Jia, Y.N. and Sun, P. (2015) Supplier Quality Evaluation Algorithm Based on BP Neural Network. Statistics & Deci-sion, No. 4, 172-174.
[11]  Wang, M. and Li, Y. (2015) Evaluation of Suppliers with Fuzzy Inputs and Outputs Based in DEA Game Cross-efficiency Model. Industrial Engineering and Management, No. 1, 95-99.
[12]  Yan, X. (2010) Relationships among Trust, Control Mechanism and Supplier Performance. Management Review, 22, 113-120.
[13]  Xie, F., Liu, Z. and Huang, T. (2011) A Study on Relationship Quality Commitment Model in Supplier Relationship Management. Journal of Systems & Management, 20, 490-495.
[14]  Zhang, Y., Gao, J. and Feng, T. (2014) Relationship between Supplier Collaboration and Competitive Advantage: The Moderating Effect of IT Implementation. Chinese Journal of Management, 11, 439.
[15]  Xiong, S., Yi, S. and Guo, J. (2010) Effects of Supplier Relationship on Production Novation Performance Taking Organization Learning as Mediator—An Empirical Study Based on Automobile Industry of Chongqing Area. Studies in Science of Science, 28, 1901-1911.

Full-Text


comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

微信:OALib Journal