Analysis for Supply Chain Management: Evidence from Toyota

  • Yang S
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Abstract

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.

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APA

Yang, S. (2022). Analysis for Supply Chain Management: Evidence from Toyota. BCP Business & Management, 34, 1204–1209. https://doi.org/10.54691/bcpbm.v34i.3160

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