The transition to Industry 4.0 means a new era in manufacturing with a new level of production automation, human-to-machine cooperation and product customization. It provides many benefits and opportunities to both enterprises and consumers and allows for principally new level of cooperation. At the same time, the complexity of business processes, large volume and the complex structure of data generated and processed by different Industry 4.0 technologies create serious challenges for Business Process Management. Process mining (PM) can tackle these challenges. PM is a relatively young discipline that is positioned between process-centric and data-centric approaches and focuses on discovering, conformance checking and enhancement of end-to-end business processes. Moreover, new types of PM deal with performance analysis, comparative analysis of several processes, making predictions and triggering improvement actions. This systematic literature review studies the applicability of PM in Industry 4.0 and the benefits that PM can provide to each of the four aspects of Industry 4.0: smart factories, smart products, new business models and new customer services. Approaches of PM proposed in the selected studies are analysed and classified according to two dimensions of the study: PM and Industry 4.0. The research gaps identified while performing the systematic literature review show possible directions for further research in the area.

向工业4.0的过渡意味着制造业进入新时代，生产自动化、人机协作和产品定制达到新水平。它为企业和消费者双方提供了许多好处和机会，并实现了新水平的合作。同时，不同工业4.0技术生成和处理的业务流程复杂、数据量大、结构复杂，给业务流程管理带来了严峻的挑战。流程挖掘（PM）可以应对这些挑战。PM 是一个相对年轻的学科，定位于以流程为中心和以数据为中心的方法之间，专注于端到端业务流程的发现、一致性检查和增强。此外，新型PM涉及绩效分析、多个流程的比较分析、做出预测并触发改进行动。这篇系统的文献综述研究了 PM 在工业 4.0 中的适用性，以及 PM 可以为工业 4.0 的四个方面提供的好处：智能工厂、智能产品、新商业模式和新客户服务。根据研究的两个维度：PM 和工业 4.0，对所选研究中提出的 PM 方法进行了分析和分类。在进行系统文献综述时发现的研究空白表明了该领域进一步研究的可能方向。