Switching from Monetary Process Management to Critical Success Factors Using an Appropriate Process Information System-Paper

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The paper presents a digital process-information system designed to improve production management in special foundation engineering. Construction sites often lack reliable, timely information: equipment data is fragmented across manufacturers’ proprietary platforms, documentation tools operate separately, and managers commonly rely on expert judgment and aggregate cost comparisons. This makes it difficult to identify problems early or measure the effects of corrective actions.<br /><br />The system combines configurable process-step recording with normalized equipment data. Operators use tablets to record activities, while configurable rules guide data entry and automatically capture step durations. Data is uploaded to the cloud when available, with offline storage as a fallback. Dashboards and reports enable near-real-time monitoring, comparison across projects and equipment, and analysis of bottlenecks and deviations from planned processes.<br /><br />A field application at a Bauer Spezialtiefbau site illustrates the benefits. Detailed, continuous recording revealed that changing cutting teeth consumed more time than expected. Improving tooth availability and the organization of tooth changes substantially increased performance. The analysis also showed that concrete supply had a smaller effect than initially suspected. The system can quantify interruptions, including those caused by clients, and support more consistent execution by guiding operators through process steps. Its flexible configuration also accommodates site-specific activities.<br /><br />The authors conclude that process-level data makes it easier to shift from cost-based management toward time- and bottleneck-oriented control. This helps teams identify critical constraints, monitor project goals, improve quality, and use site resources more effectively. Future developments could further integrate sensor and production data to automate inputs and provide more precise analysis.

Keywords

digital process-information system

production management

special foundation engineering

process-step recording

normalized equipment data

tablet-based data entry

cloud synchronization

real-time dashboards

bottleneck analysis

field application