BRIDGEi2i helps a large transport operator in Middle East improve vehicle availability and workshop load pattern through a data driven preventive maintenance schedule.

1. Customer Case Study
BRIDGEi2i helps a large transport operator in Middle East improve vehicle availability and
workshop load pattern through a data driven preventive maintenance schedule.
Business Challenge
The client is one of the largest taxi operators in the Middle East which operates 3000+ taxis. A major objective for
the company is to maximize availability of taxis on road for customers and in turn also increase the revenue
potential for drivers. While few of the taxis get off road due to repair needs, many of them need to undergo
periodic preventive maintenance at periodically. Currently the schedule is not optimized and typically heavy during
certain days of the week. Opportunity lies in building an optimum preventive maintenance schedule which ensure
higher fleet availability and properly balance utilization of workshop capacity across days.
BRIDGEi2i Solution
BRIDGEi2i engaged in a data driven consulting engagement to build a schedule that learns from historical
workshop workload patterns, taxi mileage and recommended preventive maintenance thresholds. The historical
data was analyzed to build a simulation based optimization model which tries to optimize taxi availability with
constraints set for significantly smoothening workshop load pattern, minimal vehicle wear and tear and lower
preventive maintenance cost.
Learning from historical data patterns
Vehicle mileage and existing load on workshop were analyzed
to build accurate assumptions on constraints
Optimum Scheduling Logic based on Insights
A simulation based logic for scheduling does a realistic
prediction of vehicle mileage and devises a rule to prioritize
and slot vehicles for preventive maintenance
For more details contact us: enquiries@bridgei2i.com
Information Insight Impact
© BRIDGEi2i Analytics Solutions

2. Customer Case Study
Business Impact
A simulation was performed to assess impact of the potential shift to an insight based scheduling logic. The new
schedule for preventive maintenance is expected to allow more than 50 additional cars on road daily, smoothen
the volatility of workshop load and at the same time improve inter service mileage by about 60%.
About BRIDGEi2i
BRIDGEi2i is an analytics solutions company partnering with businesses globally, helping them achieve accelerated
outcome harnessing the power of data. BRIDGEi2i helps companies to BRIDGE the gap between INFORMATION,
INSIGHT and IMPACT in their journey to institutionalize data driven decisions across the enterprise.
For more details contact us: enquiries@bridgei2i.com
Information Insight Impact
© BRIDGEi2i Analytics Solutions