Analysis for Supply Chain Management: Evidence from Toyota
DOI:
https://doi.org/10.54691/bcpbm.v34i.3160Keywords:
Toyota Production System, SCM, big data, lean thinkingAbstract
Along with the increasing demand for automotive products, automobile manufacturing’s cost begins to grow higher, while the cost of the vehicle product profit becomes lower. Automobile manufacturers are more inclined to optimize production processes through supply chain integration, strengthen the collaboration among organizations within the chain, and improve operational efficiency to consolidate the overall benefit of the supply chain. In terms of the implementation of big data and relevant techniques, it is feasible to achieve integration of the supply chain, within the enterprise to realize information sharing, and outside the enterprise to develop the working efficiency of the whole supply chain, optimize and reduce the loss of enterprise interior. In this paper, the Toyota is selected as a special case to illustrate the points that how to implement the big data techniques into supply chain management. According to the analysis, it improves the competitive strength of enterprises and increases income and profit. The possible limitations and defects are also discussed with the possible solutions for further improvements. These results shed light on guiding further exploration of supply chain management in vehicle industry.
Downloads
References
Liang D. et al. Risk Propagation and Supply Chain Health Control Based on the SIR Epidemic Model’, Mathematics 2022, 2227-7390, 10(16), p. 3008.
Davenport T, O’dwyer J. Tap into the power of analytics. Supply Chain Quarterly, 2011, 4, 28–31.
Shafiq A, Ahmed M U, Mahmoodi F. Impact of supply chain analytics and customer pressure for ethical conduct on socially responsible practices and performance: An exploratory study. International Journal of Production Economics, 2020, 225, 107571.
Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
Buchholz P, Schumacher A, Al Barazi S. Big data analyses for real-time tracking of risks in the mineral raw material markets: implications for improved supply chain risk management’, Mineral Economics: Raw Materials Report, 2022, pp. 1–44.
McCrea B. SCM keeps the supply chain wheels turning: Supply chain management software has become the solution of choice for companies as they ride out the ongoing pandemic and plan for the futur. Logistics Management (Highlands Ranch, Co.), 2022, 1 February, p. 58.
Brinch M. Understanding the value of big data in supply chain management and its business processes : Towards a conceptual framework’, International Journal of Operations & Production Management, 2018, 38(7), pp. 1589–1614.
Li, L. et al. Customer demand analysis of the electronic commerce supply chain using Big Data. Annals of Operations Research, 2018, 268(1/2), pp. 113–128.
McAfee A, Brynjolfsson E. Big data: the management revolution. Harvard Business Review, 2012, Vol. 90 No. 10, pp. 60-68.
Ramanathan R, Philpott E, Duan Y, Cao G. Adoption of business analytics and impact on performance: a qualitative study in retail. Production Planning & Control, 2017, Vol. 28 Nos 11-12, pp. 985-998.
Mortenson M J, Doherty N F, and Robinson S. Operational research from taylorism to terabytes: a research agenda for the analytics age. European Journal of Operational Research, 2015, Vol. 241 No. 3, pp. 583-595.
Waller M A, Fawcett S E. Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 2013, Vol. 34 No. 2, pp. 77-84.
Richey R G, Morgan T R, Lindsey-Hall K, Adams F G. A global exploration of big data in the supply chain. International Journal of Physical Distribution & Logistics Management, 2016, Vol. 46 No. 8, pp. 710-739.
Chiarini A, Baccarani C, Mascherpa V. Lean production, Toyota Production System and Kaizen philosophy : A conceptual analysis from the perspective of Zen Buddhism’, The TQM Journal, 2018, 30(4), pp. 425–438.
Huang Hai, Xu Yan. Reflections on Supply chain Management of Japanese Automobile Manufacturers- A Case study of Toyota Motor Corporation and Suzuki Corporation. Mechanical Design and Manufacturing Engineering, 2007, 036(003), 1-4,9.
Takeishi A, Fujimoto T. Modularization in the auto industry: interlinked multiple hierarchies of product, production, and supplier systems. Int. J. Automot. Ind. Manag., 2001, 1 (4), pp. 379-396
Matsuo H. Implications of the Tohoku earthquake for Toyota׳s coordination mechanism: Supply chain disruption of automotive semiconductors. International Journal of Production Economics, 2015, 161, pp. 217–227.
McMillan J. Games, Strategies, and Managers: How Managers can Use Game Theory to Make Better Business Decisions, Oxford University Press, New York, USA, 1992.
Balinado J R O, Young M N. The Impact of Technology on Service Supply Chain of Toyota Dasmarinas-Cavite: A Comparative Study. 2020 7th International Conference on Frontiers of Industrial Engineering (ICFIE), Frontiers of Industrial Engineering (ICFIE), 2020 7th International Conference on, 2020, pp. 13–17.
Chen Weixiao, Lu Zhiping. Research on the Strategy of Supply Chain Integration in China’s Automobile Industry——A Case Study of Toyota. Logistics Sci-tech, 2020, 43(10), pp. 130–131.
Downloads
Published
Issue
Section
How to Cite
