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Anthony Etzel

How to Improve Customer Shipments With OTTO - A Case Study

Setting Industry Service Standards

Shenandoah Manufacturing, a $20 million producer of poultry-raising equipment (heaters and brooders), had been having difficulty for some time shipping orders to customers in a timely manner. They had successfully implemented a popular ERP system and had been using it for more than 3 years, yet the situation didn't improve. 

Customer Service Representatives were complaining about the frequent backorders and late orders. Employees were giving it their best effort, but were frustrated, and customers were threatening to take their business elsewhere.

The company considered installing an APS system as a possible solution, but found implementation would be difficult, expensive, and running the system might be a challenging task as a number of key business practices would have to be changed. A consultant familiar with OTTO suggested they look at that product as an alternative to APS. Several OTTO aspects cited by the consultant convinced them to consider a cursorily review. Specifically:

  • The non-intrusive nature of the product.
  • It's relative inexpensive initial investment.
  • The low overall total cost of ownership.
  • The integration with their ERP system.

The initial demonstration was impressive. OTTO was installed on Shenandoah's server within 45 minutes of arrival and, most impressively, it was fully functional with their real “live” data immediately. Needless to say, the demo was well received. Even more importantly Shenandoah was able to “test drive” the software to prove its applicability before making any dollar commitments.

According to Mark Shank, Information Systems Manager, some baseline measurements were made last year, and it was determined that approximately 50% of their customer orders had shipped on time. As they began using OTTO, on-time order performance rose to 90% for the month. And Shenandoah caught up on its entire backlog and started working ahead on February's orders. In February on-time shipment performance jumped to 92% and subsequently on-time performance has ranged somewhere between 98.3% and 99.5% — well above the 96% goal set by Management.

OTTO provides the means for keeping the whole production organization focused on the few things that have to happen as the ship date approaches to get each order shipped on time. Components that have the potential for delaying an order are identified so they can be managed. Shenandoah's staff, a precious and limited resource, now concentrates on analyzing information and managing the right things at the right time rather than digging out date. To quote one production control individual: “what use to take hours now takes seconds.”

According to Roy Hackett, Plant Manager: "Knowing the right things to pay attention to at the right time — information provided by OTTO — has allowed on-time shipping to be improved by 40 percentage points in less than one month and a lead time reduction from 3-4 weeks to 1-2 weeks on the most important products"

Guessing at what and how much of the work being processed is for real customer orders versus planned orders is eliminated which is especially important when capacity is short during the heavy portion of the business cycle. 

“By focusing on the right things at the right time, production expedites and interruptions are far fewer, production flow is much smoother and productivity is significantly improved.”

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Anthony Etzel

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Tips:  LX | BPCS | M3

Previously, Material Requirements Planning (MRP) preferred practices meant that the component's due date was the same as the parent's shop order release date. Because MRP trends have changed, the preference for this due date is the day before the release date of the parent. Although Infor LX already has this functionality in Shop Order Maintenance programs (SFC500), users could not change how due dates were determined for lower-level shop orders in Multi-Level Shop Order Release, SFC530D.

This enhancement provides an additional parameter for Multi-Level Shop Order Release. This parameter allows the user to change how the due date of the child components is determined. The Multi-Level Shop Order Release, SFC5302, has a new parameter for shop orders. The Due Date of Children = Release Date of Prent (Due Date of Children) field allows the user to set the due date determined for multi-level shop orders.

This feature uses different exchange rates in the user's inventory processes by using new macros in Post Inventory to G/L, INV920D. INV920 used macros limited by the Override Exchange Rate parameter set on the book in Book Definition, CEA105D3. If the Override Exchange rate parameter is set to No, the macro uses the Rate Type of the Book. If the Override Exchange parameter is set to Yes, the macro uses the Rate Type of the Order Company. This enhancement provides macros that use the Rate Type of the Order Company. This enhancement provides macros that use the Rate Type of the Warehouse Company, Order Company, or the Book regardless of the Override Exchange Rate parameter in the Book.

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Tips: LN | Baan

Finance: Propagating Unused Sub-Accounts

You can use this procedure to find accounts that have a valid sub-accounts group but no corresponding general ledger chart account records. This action creates the general ledger chart account record for the account and sub-account combination. This action does not add the accounts to charts.

  1. Select Financials > Global Ledger > Setup > Finance Enterprise Group > Maintenance.
  2. Open the finance enterprise group and click the Sub Account tab.
  3. Select Actions > Propagate Unused Sub Accounts.
  4. Select the finance enterprise group and click OK.

Sub-accounts are added according to group if they have been defined on the accounts. The resulting account can be added to the charts.

Operations: Best Practices for Purchase Order Archiving / Deleting

Here are some best practices to follow if you are considering archiving or deleting purchase order data:

  • If Financials is implemented, we recommend that you do not delete order data in a fiscal year that has not yet been fully closed. This is because the GRINYA process uses information that would be deleted by this action. For best results, check whether the logistical balance for non-invoiced receipts matches the balance of the GRINYA accounts for the periods up to which you want to delete purchase order data.
  • When a purchase order is canceled, you can only delete the purchase order and the related tables. If only a purchase order line is canceled, the line can be deleted and archived.
  • Purchase contracts must be archived before purchase orders can be archived.

You cannot delete a purchase order (line) if:

  • The linked warehouse order is closed but cannot be removed.
  • The purchase order is linked to a PCS pr

 Here are some best practices to follow if you are considering archiving or deleting purchase order data:

  • If Financials is implemented, we recommend that you do not delete order data in a fiscal year that has not yet been fully closed. This is because the GRINYA process uses information that would be deleted by this action. For best results, check whether the logistical balance for non-invoiced receipts matches the balance of the GRINYA accounts for the periods up to which you want to delete purchase order data.
  • When a purchase order is canceled, you can only delete the purchase order and the related tables. If only a purchase order line is canceled, the line can be deleted and archived.
  • Purchase contracts must be archived before purchase orders can be archived.

You cannot delete a purchase order (line) if:

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