Process Mining is a discipline for the discovery, monitoring, and improvement of processes by extracting knowledge from event logs. In the discovery stage, models are often used to analyze the process performance. The time dimension is often analyzed, but there has been little research on other dimensions. For the cost dimension, the focus has been on costs annotation in event logs, but not on strategies for their analysis. Opportunities can be observed by considering costs jointly with other dimensions, such as time and resources, allowing insights like cost-aware resource allocation or identifying trade-offs between costs and time. This research aims to enhance the analysis of costs through Process Mining, by devising methods for their analysis and operational support jointly with other dimensions. To achieve this, a partnership with companies from the mining industry is proposed, as they possess the records required for analyzing the cost dimension. Moreover, this industry is appealing as there is potential in analyzing its processes through Process Mining. Following a design science methodology, methods for jointly analyzing costs with other dimensions are devised, which will be validated by applying them to instances of processes from the mining industry. The devised methods are expected to facilitate costs-oriented decision-making in the mining industry, by addressing existing design problems in it.