Mass customized and mass personalized production has become facilitated by the fourth industrial revolution. The resulting industrial environments require the development of information systems able to take the specifications of customers and convey them to the production system in such a way as to contribute to the coordination of all the stakeholders and activities required to fulfill the orders of the customers. This is beyond the capabilities of traditional systems based on MRP and ERP, since the information should be managed in a flexible and decentralized way to exploit the Smart Manufacturing facilities of Industry 4.0. Blockchain, instead, is a technology that provides those features constituting a sound information supporting basis for mass customized/personalized production. Consequently, we explore the potential of blockchain as an information technology able to support industries that base their business models on mass customized/personalized production processes. This survey allows us to identify important challenges for further developments, highlighting three issues in the production setting: (i) to deepen the interoperability of systems, (ii) to generate more implementations, and (iii) to develop efficient consensus protocols. As a response to these insights we provide a conceptual design of how blockchain contributes to managing efficiently mass customized production systems. In our design the information of customer specifications can be fused with data from the production process to generate a plan to fulfill the demand. This design arises as a solution approach to three stated problem, which are faced by mass customized production systems.

第四次工业革命促进了大规模定制和大规模个性化生产。由此产生的工业环境需要开发能够获取客户规格并将其传达到生产系统的信息系统，以便有助于协调所有利益相关者和履行客户订单所需的活动。这超出了基于 MRP 和 ERP 的传统系统的能力，因为应以灵活和分散的方式管理信息，以利用工业 4.0 的智能制造设施。区块链相反，它是一种提供这些功能的技术，这些功能构成了大规模定制/个性化生产的健全信息支持基础。因此，我们探索区块链作为一种信息技术的潜力，能够支持基于大规模定制/个性化生产流程的商业模式的行业。这项调查使我们能够确定进一步发展的重要挑战，突出了生产环境中的三个问题：(i) 深化系统的互操作性，(ii) 生成更多实现，以及 (iii) 开发有效的共识协议。作为对这些见解的回应，我们提供了一个关于区块链如何有助于高效管理大规模定制生产系统。在我们的设计中，客户规格信息可以与生产过程中的数据融合，以生成满足需求的计划。这种设计是作为大规模定制生产系统面临的三个陈述问题的解决方案而出现的。