The Lift project is designed to analyze the wear and tear of lifts over time, particularly in scenarios where two lifts serve the same building and face the same call conditions. In buildings with multiple lifts, the system may prioritize one lift over another based on their ordering in the system. This can lead to unequal usage and potentially increase wear on the more frequently called lift.

Problem Overview

The repository addresses the challenge of understanding how much more one lift may wear out compared to another due to system prioritization. For instance, if one lift frequently arrives first when both are on the same floor, that lift will experience greater wear and may encounter more operational issues, such as door malfunctions.

Key Findings

The TL;DR summary of the analysis shows that the left lift can do approximately twice the amount of work compared to the right lift:

Lift 4606717504: at 5, wear: 494535
Lift 4613068176: at 0, wear: 226344

Analyze Lift Performance

The project incorporates a Jupyter notebook (lift.ipynb) that allows users to examine the wear factors of the lifts in their building context. By evaluating historical data and operational metrics, the notebook facilitates insights into lift wear, enabling better management and maintenance strategies.