Rescheduling for high-priority orders

How to respond to spontaneous orders with high priority

Recently I picked up my son from school at 3pm as usual. We had not even left the schoolyard before he said: “I’ve been invited to Tim’s birthday party. He forgot my invitation. It starts at 3.45. Can I go, please?” And of course he had that puppy dog look you simply cannot resist.

Of course I couldn’t refuse but all sorts of thoughts ran through my head: “It’s in just 45 minutes… We don’t even have a present … I don’t know where Tim lives … I have to collect my youngest from kindergarden at 4pm.” One single question had been enough to turn my entire afternoon on its head.

A new order of the highest priority

In production orders frequently come in at short notice which cannot wait. Most of these are not emergencies. Instead they are often from major customers who the company does not want to upset.

Here we want to show you how to get the best out of such a situation using mathematical optimization.

A major order comes in

While the birthday party meant theat I had to reschedule for just one afternoon, orders that hat to be fit in spontanteously can have a very far-reaching impact on production:

  1. Minimizing delays
    As long as production is in full swing for the new order, no other order can be produced, at least on the machines required for this. Therefore, these orders have to be postponed. In this case, the previous production plan should not simply be put back as perhaps there is a better plan for the new conditions which entails fewer delays and therefore lower costs. The following questions need to be asked: Which orders can wait?Which orders should not be postponed (if this is at all possible) or rather: which customer will be more tolerant of a delay?
  2. Optimally deplyoing available resources
    Production for the new order naturally requires resources which might have been scheduled for other orders. Here it is important to check for which orders all the resources are still available. If there are orders for which there is a lack of resources for production, i.e. which still need to be delivered, then these orders will have to be moved to the back of the production schedule. Here, it might make sense to bring forward an order which is not as important but for which all the resources are available if it can close the gap until the necessary resources have been delivered.
  3. Scheduling staff appropriately
    Skilled workers are needed for certain jobs. By altering the production plan, you are also altering your employee shift schedule. Legal requirements, extra costs for overtime, etc. needs to be taken into account.

Call in the production planner!

The production planner needs to have a complete overview of all these aspects. There are countless potential production plans and coming up with the plan that causes as few delays and extra costs as possible is practically impossible if manual planning is deployed.A great deal of knowledge and experience is called for in order to devise an effective schedule which takes all of the constraints and dependencies into acocunt. And even under these conditions, it takes time. And time costs money because the production schedule is required for all further action.

But how can this process be expedited?

Mathematical optimization can help

Whoever deploys mathematical optimization for their production planning can remain quite calm in this case.  The basis here is a model which contains all of the orders, resources, employee constraints, etc. Bringing forward the new, high-priority order in the production schedule is probably not an element of an optimal solution and will first have to be determined manually. All of the other orders will be distributed optimally according to their requirements and a production plan is created which provides the optimal result for the new situation.
For the optimization it is absolutely no problem to have all of the constraints in focus.

Prioritize manually, rechedule optimally – with OPTANO production

With OPTANO production the procedure in such a situation is quite simple. In our example we have taken an existing order and brought it forward by one day (this procedure is exactly the same for new orders).

Using drag-and-drop the order can now be moved  and fixed to the desired position  in the Gantt chart. When starting the optimization, OPTANO assumes that this order has been set and optimizes all of the other orders around it. A new optimal production schedule is then available which observes the priority order and all of the other constraints at the same time.

Reschedule quickly and easily with OPTANO production

Of course OPTANO prodution can do so much more than prioritize orders and plan around them. Whether it’s tactical or operational planning – with OPTANO production optimal plans which are customized to meet your requirements can be created quickly and easily.

With OPTANO production you canimprove your delivery reliability and maximize your machine capacity. Your production planning is always at its otpimum level and enables you to get the very best out of any situation.

If you would like to learn more about how mathematical optimization can be of benefit to your production planning and what else it can offer, then download our factsheet “Modern Production Planning using Predictive and Prescriptive Analytics”

Or why not contact us? Dr. Sven Flake is happy to answer any of your questions about optimal production planning.

Do you have any questions about this issue?

Contact us - by e-mail or telephone.

Tell us about your problem.

We can define the next steps together.

With no obligation at all.

Dr. Sven Flake

Telephone: +49 05251 68220-38

Anything is possible with the right approach

In order to fulfil my son’s priority order I didn’t need to use mathematical optimization as it wasn’t complex enough (also read:“What makes a problem complex?”). However I did need extra employees (my husband who quickly bought a present and drove our son to the party) and additional machines (my bike plus a bike trailer to pick up my other son from kindergarden). But when our son came home from the party, thoroughly exhausted but so happy, then all the rescheduling and the stress was worth it.

Optimal production planning with mathematical optimization

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