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Kathy Barthelt
/ Categories: Infor LN & Baan Tips

Infor LN & Baan Tip: Performance improvement by setting the First Free Number Cache (tcmcs0651m000)

Many transactions in all kinds of modules use order numbers or serial numbers. These order numbers are most often automatically generated. In the Number Groups (tcmcs0151m000) session you can define groups of order numbers used for dedicated areas. A Number Group is a group of the first free number series that you can assign to a specific use. All the numbers that Infor LN generates in the number groups that are dedicated to the same purpose are unique.

All the first free numbers are stored in the table tcmcs050.

As many different processes can request a free number from the number groups, we often see delays in the performance, due to locking on the first free number records. This locking issue can have a severe impact on the performance of huge batch-type transactions, but also on the performance perceived by individual users in many areas in LN.

For example:

  • Processing warehouse transactions. Single or in-batch
  • Completing / closing orders
  • Backflushing of production orders
  • Generate Order Planning
  • Cost calculation and warehouse revaluation


How this performance can be improved?

Resolution

In the Number Groups (tcmcs0151m000) session you can open the details of a specific Number Group (tcmcs0651m000) or start the session stand-alone.

In the Number Group, you define the Series with the related First Free Numbers. Per Serie in the First Free Number, you have the option to define the Cache Size.

This Cache size is defaulted on a value of 0 (zero). A cache size of zero means No Cache. How does the First Free Number caching works:

  • When the Cache Size is zero: With this setting a process requests a Free Number from the Serie and the first free number is issued to the process. But the first free number record is not updated yet. At the moment the requesting process is finished, without errors, it reports back that the number is used and the first free number record is updated. All the time that the process is working on the transactions the first free number record is locked. If another process is requesting a free number from the same series, it must wait (retries) until the record is updated and released by the previous process. This is the locking which is causing delays in the other processes.  
  • Setting the Cache Size to a higher value then zero activates the caching. When the Cache Size is set to 1 or higher, the requested free number is sent to the requesting process, the first free number is updated, with the number as defined in the Cache size, and the record is saved. It does not wait until the requesting process has reported back that is finished, with or without errors. In this way the record is immediately released and no locking will occur. If another process is requesting a free number, it does not need to wait until the free number record is released by the earlier process. If the process is ended with errors and therefor the number is not used, this number from the series is lost. This can result in gaps in the numbering. When the cache size is greater than 1, for example it is set to 5, the requesting process receives 5 free numbers. Even if it only needs less than 5. In this way the process only has to request for a new free number after it has used the first 5 numbers from the cache. This will also speedup the process in case of large batch transactions. For ‘warehouse integration users’, like for example Factory Track or WMS users we advise to set the cache size to 5.  

Note that financial documents are not based on number group series / first free numbers. Instead they are based on transaction type series, for which the caching functionality does not exist. Financial documents, like sales invoices, bank transactions, are thus not cached.

The caching is especially important to improve the performance of all logistical processes.

It is strongly recommended (mandatory) to set the Cache Size for all Number Groups to a minimum of 1.

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Kathy Barthelt

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Tips:  LX | BPCS | M3

Ok… so you want to know the status of a specific shop order that was released two days ago.

What do you do?

It’s a sure bet that you have a manager, supervisor, or planner who can walk the floor and find the order at whatever work center it happens to be at. He/she can then answer “what operations have been completed and how many were completed?” All this requires leg work, and of course, a fair amount of time.

Now, if you have setup your BPCS master files properly, and you report transaction activity, you should be able to get those shop order statuses much faster using the SFC300 Shop Order Inquiry Screen.

At your fingertips you can see:

  • Release date & due date
  • How many hours remain in total and at each operation
  • The quantity required, what was finished and the remaining quantity
  • What components (materials) have been issued

Pretty basic information, right? Are you getting what you need to know? If not, then you may want to reexamine how your BPCS files are setup and what transactions along with their frequency are captured.

In Infor LX, there are two ways to enter indirect labor. You can use either SFC600 or SFC650.
 

  1. If you use SFC600 and enter a reason code for the indirect labor, the reason you entered is written to the Labor Ticket file.
  2. If you use SFC650 and enter a reason code for the indirect, the reason code is not written to the labor Ticket file.

 

In either case, the reason code is not validated from the transaction file because there is no indirect transaction code. The indirect code that can be setup is machine downtime. If you need to validate and track indirect by reason and validate the reason code, then you may want to explore an MES solution that works with Infor LX.

 

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Tips: LN | Baan

Instead of sharing tables through logical linking, you can replicate table content between companies. This approach allows certain non-key attributes of a record to vary by company. For example, if you replicate bills of materials rather than sharing them, each company can associate a different warehouse with the same bill of material. This way, the bills of materials are consistent across companies, while the warehouses can differ.

Replication also enables selective availability of records in other companies. For instance, when replicating items, you might limit which items are available in a sales company based on their item group, only including end items. You can further refine replication to specific subsets, such as particular item groups.

Keep in mind that replication requires any referenced tables to be either replicated or shared as well.

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