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Infor LX Tips, Infor LN Tips, BPCS Tips, Baan Tips, Infor M3 Tips & Infor ERP News

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Infor ERP Tips & News from the Experts

Infor LX | Infor LN | BPCS | Baan | Infor M3

Introducing VJES (Visual Job Execution Software)

Kathy Barthelt 0 2542 Article rating: 5.0

You would be hard-pressed to completely miss the stories in the news recently about quality issues in manufacturing. The crux of the issue has been a complete focus on production and a lack of focus on quality. Yes, it is a wonderful thing to get the goods out the door, but when you’re sacrificing quality, what good is it really?

There are specifications for production for a reason. Engineering exists for a reason. If products are not built according to exact design specifications, scrap is likely to go up, rework goes up, customer returns and/or service requests go up, and customer satisfaction and overall customer confidence in your product plummets.

Is all of that worth it to get the good out the door in the shortest amount of time possible?

Every manufacturer relies on a few core measurements to manage their operations. Measurements like efficiency, productivity, capacity, labor and equipment utilization are used by manufacturers across the globe to benchmark performance and assess the effectiveness of processes.

Quality needs to be part of that mix. Because measurements like efficiency and productivity don’t necessarily mean high quality, incorporating ways to ensure quality from the start can help to eliminate waste and rework.

Manufacturing quality is achieved through quality control using documented, repeatable, and measurable processes.

What if you could incorporate quality control in every operation, at every work center to not only ensure high-quality finished goods but also simultaneously train high-quality operators?

Introducing Crossroads’ ERP independent solution, VJES (Visual Job Execution Software)...

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Tips:  LX | BPCS | M3

Did you know that you can set up one-time vendors in LX? One Time Vendor (1,A): Specify Y to indicate that this vendor is a one-time vendor. Otherwise, could you specify N. The system removes a one-time vendor's information from the Vendor Master file after all transactions are reconciled. If this vendor already exists as a one-time vendor, you can specify N to change the vendor to a regular vendor.

Determining whether to use Master Production Schedule (MPS) planning or Material Requirements Planning (MRP) planning for items in Infor LX and BPCS involves understanding the nature of the items and their demand characteristics.

Master Scheduled Items typically encompass finished goods or service items. These items receive their requirements either from Independent demand, Dependent demand, or a combination of both...

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Tips: LN | Baan

Ensuring access to historical logistical and financial transaction information for your employees is crucial. However, before proceeding with archiving or deletion, it's essential to evaluate the necessity of retaining this data. Baan and Infor LN (ERP LN) offer standard archiving sessions within major modules that typically handle a significant volume of historical transactions. These sessions are designed to transfer historical data to an archive company before deleting it from the operational company.

When it comes to archiving sessions, you have three primary options:

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:

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