| 摘要(英) |
The supply chain for vehicle parts of the automobile industry spans several areas such as electronics, plastics, glass, steel and the like. These vehicle parts are usually outsourced to subcontractors distributed all over the world by the motor corporation. Due to this distributed arrangement, the motor corporations are facing challenges as for production management especially in the situation of tracing defective parts that incurred malfunctioning of vehicles, and subsequently implemented recalls for problematic vehicles. To make the production process of vehicle parts transparent and easy to retrieve the relevant production data is key to the achievement of goal of shortening the tracing time for defective vehicle parts and hence the responsible subcontractors. It means the production record of vehicle parts plays an important role in tracing and retrieving the relevant data of vehicle parts that cause a large scale of recalls for malfunctioning vehicles. Unfortunately, the current production records made-up by the subcontractors and/or motor corporation are far from being perfect with respect to the criterion of efficiency. The reason behind this unfavorable situation is threefold: (1) The standard format for the production record of vehicle parts has not been well established by the motor corporation for all the subcontractors to follow. (2) The transmission of production record from a subcontractor to the motor corporation is usually done by surface delivery that is slow. (3) There is a lack of mutual trust between the subcontractors and the motor corporation. As such, quality control is badly performed and needs to be improved.
To improve the efficiency of the existing production record of vehicle parts, we adopt for use blockchain technology which is characterized by decentralization and anti-tampering. Once the data have been uploaded to the chain, it cannot be tampered. After a brief description about the advantage of blockchain technology, this research came up with a smart contract which is run on virtual machine and mainly to check the vehicle parts for the required standards. An experiment was performed with real data retrieved from a motor company located in northern Taiwan. The result obtained from the experiment is totally the same as that from the existing manual work. We also provide the benefit in quantities from our proposed procedure with a hope that it can be employed in an intermediate future to achieve better efficiency, reduce the possible malicious tampering of production records, and reduce human error. In the end, conclusion and limitations are also given. |
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