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Throughput capacity (TC) is defined as the total amount of material processed or produced by the system in the given time. In practice, full capacity performance for industrial equipment is impossible because the failures are affected and cause a reduction. Therefore, failure interruptions, especially critical ones (bottlenecks), must be detected and considered in production management. From the point of production view, the bottleneck has the lowest production or performance. Most of the previous works used the availability and related importance measures as performance indicators and prioritization of subsystems. However, these measures cannot consider system production in their prioritization. This paper presents a bottleneck detection framework based on system performance and production capacity integration. The integrated approach is used to assess the loading and hauling subsystems of Golgohar Iron Mine, Iran. As a result of the analysis, the hauling subsystem identifies the system's bottleneck.

The concept of availability importance measures can be used to identifying critical components from the availability performance point of view. The availability of an item depends on the combined aspects of its reliability and maintainability performance indices. These indices are considerably affected by operational and environmental conditions such as; ambient temperature, precipitation, wind, etc. Thus, different subsystems or components' availability in various conditions changes the performance priority of the system. In this way, the paper used the availability importance measure considering the operating environment for a mining fleet consisting of one shovel and six trucks. The reliability and maintainability characteristic of machines considering all influence factors (covariates) is analysed using by Cox regression model. The availability importance measure in two scenarios demonstrated that subsystem criticality changes in various conditions and the appropriate decisions should be made on different operational conditions.