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Manufacturing Scheduling For Businesses – Best Practices

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Biosero, Inc.
Manufacturing Scheduling For Businesses – Best Practices

To attain optimized manufacturing in scheduling, one needs to have good knowledge of the things and best practices irrespective of whether the scheduling is done manually or through the most advanced automation scheduling software available today.

From knowing the type of manufacturing and the scale of operation to having a clear understanding of the vendor performance, here are some of the best practices in manufacturing scheduling for businesses:

Realistic goals for automated scheduling

It is crucial to set realistic goals by determining how much can be automated and how much time will each component or equipment take for automation. It is advisable to implement automation step by step. Don’t plan on changing all the processes at a time. This will minimize downtime. For instance, you can start with automating a few chemical processes and assembly machines.

Knowing machine’s capacity to produce

Although lab automation software has helped manufacturing units boost their production capacity to a great extent, for an optimized manufacturing schedule, something else is also required – understanding the machine’s ability.

Machine speed, quality fall out average and other variables also play a critical role for scheduling to trigger the accurate quantity to be produced for every item. You should keep this data handy as it will also be required during making adjustments for product mix changes. These are mostly seasonal changes, or also when there is a shift in consumer demand or taste according to time.

Knowing your mix of make-to-availability

Any optimized manufacturing schedule has to consider the process of production into account. Additional steps are required for make-to-order which involves sub-assemblies and custom fittings in ready condition.

For high volume and commodity products, times jobs are very precise and they are well-documented with condition of the equipment, capacity and the speed. Better staging of raw material can be facilitated through formulas, mixes, blends.

It is crucial for scheduling staff to know the changeover time and machine clean-up time in this type of production. Based on the kind of product being manufactured, scheduling the right goods in the correct order can decrease or increase machine cleaning or changeover times.

Make sure the data is in order

Process lifescience automation is greatly dependent on data. Whether using robotic automation system or AI solutions, any form of industry automation is good because of the data that backs it.

If you do not have transparency in information, it will be difficult to apply automation. In case you are doing manual data entry for some units, your efficiency to automate processes through workflow automation software gets limited. Duplicate information or manual errors in your database will lead to errors in your automation setup.

Without best practice adherence, optimization in manufacturing scheduling is not possible. This is relevant irrespective of the method of production. However, optimized scheduling is made easy by manufacturing scheduling and process automation software.

Also, we have robotic automation software available today from companies like Biosero, which are providing highly repetitive, standardized workflows and help in completing tasks in the same way, every time.

 

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