Queue management

Optiveat – Najdorf

This program allows you to size the optimal number of platforms to open in order to minimize your hourly costs by finding the right length for your queues.

For whom?

  • Transport companies   
  • Collection and distribution networks

The queuing problem

How to determine the optimal number of platforms to open during a day? Between 12pm and 2pm? After 6pm? The hazards of traffic mean that the arrival times of vehicles carrying goods are random.

The same applies to the loading and unloading times of the vehicles (higher or lower filling rate, higher or lower number of products to be handled).

These uncertainties can cause bottlenecks, especially at peak times.

In addition to the stress for the employees, a bottleneck at the entrance to a warehouse can cause a significant delay in the delivery chain (failure to respect the cut-off time) and lead to a failure to respect the delivery deadlines or to additional costs (use of emergency resources, penalties, etc.).

Benefit of the program: Anticipation rather than reaction

Our program allows you to forecast the number of docks to be opened during the different periods of the week and day and to measure the performance of your configuration. This forecasting phase makes the proper management of your team’s schedule easier and allows you to optimize your performance. It allows you to anticipate traffic peaks and limit the surprise effect linked to them.

How does it work?

The OPTIVEAT-NAJDORF program helps you find the right number of platforms to open to cover your needs in an optimal way, i.e. by checking whether the conditions for receiving vehicles are in line with the minimum service objectives you have defined. When the program is run, it will return a number of reliable statistical indicators that you can use in your situation analysis.

To do this, it will first divide the studied period of time into several intervals of a length you have chosen, then it will determine the distribution of vehicles over each of these time intervals. Then it will run several hundred simulations with this distribution. This step makes it possible to keep the distributions observed in your data but to change the order of arrival of the vehicles and the order of the processing time values each time: in this way, the randomness that can be observed in the arrival times of the vehicles and in their processing time is integrated. Finally, the program will calculate the average of each indicator for all simulations. The number of simulations was chosen to be sufficiently high for the results to converge: the randomness observed was smoothed out. This approach makes it possible to reliably obtain, among other things:

  • the average idle time of your platforms;
  • the average length of your queues;
  • the average waiting time of a vehicle at a platform.

The results are presented as follows:

Requested configuration:

-Microsoft Windows

-Microsoft Visual C++ 2005 and later

-Microsoft Excel 2007 and later

Our other products:

Nimzo software – Setting up a distribution network

Flohr software – Production planning

Alekhine software – Shortage management

Benoni software – Queue management

Download our catalog

You wish to know more about our products?