Overview of current manufacturing enterprises show that successful global manufacturing enterprise has great collaboration among designer, manufacturer, and customer, which effect on reducing production life cycle and improving customer satisfaction. Recently, several past and ongoing research projects have conducted to enable the collaborative platform to develop effective collaboration with the manufacturing section, design section, and customer views. However, trustable collaboration and how to utilize customer views efficiently is still a challenge. Therefore, this research proposed a blockchain-enabled fog computing-based collaborative design and manufacturing platform to develop triple communication and cooperation among the manufacturing section, design section, and customers in a trustable environment. In the proposed platform, the machine-learning method is used for clustering and categorizing customer-views, and fog computing-based integration between subsystems via blockchain technology is proposed to improve the data integrity and security problem. The proposed platform explained based on key technology, data integrity, key requirement, and illustrative case study. In this respect, we presented the design and manufacturing of bicycles based on customer requests.

当前的制造企业概述表明，成功的全球制造企业在设计人员，制造商和客户之间有着巨大的合作关系，从而缩短了生产生命周期并提高了客户满意度。最近，进行了一些过去和正在进行的研究项目，以使协作平台能够与制造部门，设计部门和客户观点进行有效的协作。但是，可信赖的协作以及如何有效利用客户观点仍然是一个挑战。因此，本研究提出了一个基于区块链的基于雾计算的协同设计和制造平台，以在可信赖的环境中发展制造部门，设计部门和客户之间的三重沟通与合作。在建议的平台中，机器学习方法用于对客户视图进行聚类和分类，并提出了通过区块链技术基于雾计算的子系统之间的集成，以改善数据完整性和安全性问题。建议的平台基于关键技术，数据完整性，关键要求和说明性案例研究进行了解释。在这方面，我们根据客户要求介绍了自行车的设计和制造。