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Case Study: Producing vehicle schedules for High Street deliveries
 
 
A national retailer was making around 300 deliveries per week to its shops. Stores were located in high streets and shopping malls which resulted in complex timing rules for each delivery and different unloading rates, depending on how close to the store the vehicle could park. Orders were calculated after the critical weekend sales period and stock had to be in stores in good time for the next weekend. This had the effect of compressing the distribution task, as vehicles could not leave until picked orders became available from the warehouse.

The client had developed a series of fixed delivery schedules for each season manually. Reasonable levels of efficiency were being achieved but the time spent developing the schedules was a significant drain on resources. We were asked to produce the schedules with Paragon.

We began by analysing the performance of drivers on existing routes to ensure the correct road speed settings and unloading rates were used. The client provided a database recording the delivery quantities, frequencies and timing rules for each store. A detailed analysis of picking rates and order availability also took place, enabling us to control the departure time of picked loads to match the warehouse performance.

These requirements and analyses were drawn together into a Paragon model and the first draft schedule was produced. This was scrutinised and detailed adjustments were made, resulting in a schedule which was implemented successfully.

Since then, schedules have been produced regularly to handle seasonal variations, bank holidays and new store openings. The database of deliveries has been regularly updated for new schedules. Fine tuning has occurred and specialist reports have been developed. The elapsed time to develop a new schedule has been dramatically reduced. Typically this now takes two or three days from receiving new instructions to developing the final reports.

Savings in the number of vehicles required of around 7% have been achieved.

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