Optimise schedules, routes and material supply
Challenge:
A medical technology manufacturer wants to reduce service costs. Repair work is often carried out at short notice, and despite having its own warehouse, the supply of spare parts on site is often incomplete. This means that several trips are often necessary for each service call.
The solution:
Business Analytics calculates failure probabilities. Predictive maintenance reduces the number of repair calls. Material requirements are derived from data on completed service cases, and logistics and route planning are optimised.
Benefits:
Around 30% cost reduction through more efficient use of personnel and materials, as well as optimally planned routes. CO2 emissions are also reduced.