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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

Crossroads MES Released for Windows 10

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Crossroads RMC is pleased to announce the availability of Crossroads MES, V11 for Windows 10. Any customers wishing to upgrade from a previous version to V11 can do so by contacting  support@crossroadsrmc.com. As previously announced, Crossroads MES  is also compatible with tablet PCs running Windows 8.1. Tablet PCs are becoming the clipboard replacement for supervisors and managers to monitor what’s happening on the shop floor.

BPCS/LX Tip of the Week: Shop Order Release Date

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The shop order release date is the date that the shop order is scheduled to be released for production.

If you want to use the backward schedule method, make sure the release date is blank and the due date is maintained.

If you maintain the quantity on the shop order and the due date is prior to the system date, the due date and the release date are the same.

Baan/LN Tip of the Week: Plan Codes

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In Baan IV, plan items exist within the context of a plan code. A plan code includes only items of the MPS Item item type. Planned orders are independent of a plan code. Users can compare plan codes by means of the Plan Code Performance Comparison (cprmp4504m000) session.

The scenario concept in Infor LN replaces the plan code concept in Baan IV.

In Infor LN, the basic data for plan items is the same for all scenarios. However, users maintain not only the master plan within a scenario, but the planned orders as well.

For example, for each scenario, Users can specify:

  • Special demand for an item.
  • The availability of resources (in the Scenario – Availabilities (cprpd4160m000) session).
  • The sourcing strategies and supply strategies.

Users can compare scenarios by means of the Performance Indicators (cprao2201s000) session.

BPCS/LX Tip of the Week: Receiving to Inspection

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If the item being received needs to be inspected prior to being available for use, there are two schools of thought.

The first is to receive the item to a QC hold location. The downside is the item will show up in on hand inventory.

A better method would be to do a PO receipt to inspection. Both Inv500 and Pur550 support this method. Now you have received the item without showing it in inventory. Only the PO quantity in inspection is updated. This method also allows you to create an Inspection Dispatch Report. After the QC process for the item is complete, then the transaction Receipt from Inspection to Stock is processed. That transaction then updates the PO quantity received field and the Item on hand field in inventory.

Baan/LN Tip of the Week: Purchase Inquiry

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In Baan IV Purchase Control, the purchase inquiry procedure enables the user to:

  • Request a specific supplier to submit a quotation on the purchase inquiry for the delivery of an item.
  • Compare the prices and discounts of the quotations that are submitted by different suppliers.
  • Copy the inquiry data to a purchase order.


In LN, you can:

  • Request multiple business partners to submit a quotation on a specific request-for-quotation for the delivery of an item.
  • Compare the received quotations based on the following criteria:
  1. Price
  2. Quantity
  3. Vendor rating
  4. Delivery dates
  5. RFQ subjective criteria
  • Copy the quotation data to a purchase order, a purchase contract, or a price book.

BPCS/LX Tip of the Week: Shop Order Release Date

Anthony Etzel 0 58627 Article rating: No rating

The shop order release date is the date that the shop order is scheduled to be released for production.

If you want to use the backward schedule method, make sure the release date is blank and the due date is maintained.

If you maintain the quantity on the shop order and the due date is prior to the system date, the due date and the release date are the same.

Baan/LN Tip of the Week: Plan Codes

Kathy Barthelt 0 60504 Article rating: No rating

In Baan IV, plan items exist within the context of a plan code. A plan code includes only items of the MPS Item item type. Planned orders are independent of a plan code. Users can compare plan codes by means of the Plan Code Performance Comparison (cprmp4504m000) session.

The scenario concept in Infor LN replaces the plan code concept in Baan IV.

In Infor LN, the basic data for plan items is the same for all scenarios. However, users maintain not only the master plan within a scenario, but the planned orders as well.

For example, for each scenario, Users can specify:

  • Special demand for an item.
  • The availability of resources (in the Scenario – Availabilities (cprpd4160m000) session).
  • The sourcing strategies and supply strategies.

Users can compare scenarios by means of the Performance Indicators (cprao2201s000) session.

Filtec Selects Crossroads RMC for Baan Data Collection

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Filtec, a leading provider of in-line inspection solutions for the food, beverage, and pharmaceutical industries, has selected the Web Collect, formerly RMC3 data collection solution from Crossroads RMC for their Baan IV system. Filtec plans to implement Labor Reporting and Report Operations Complete as part of this project with the goal of eliminating manual data entry and gaining better visibility to gap time. The project is scheduled to go live in early November 2015.

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Tips:  LX | BPCS | M3

Tips: LN | Baan

Kathy Barthelt

Infor LN & Baan Tips & Tricks for OPERATIONS: What is Statistical Inventory Control (SIC) and How Does It Work?

Statistical Inventory Control (SIC) is an inventory-controlled order system designed to maintain stock levels based on predefined thresholds, rather than being demand-driven like EP (Enterprise Planning). Since SIC relies on inventory levels, it may lead to higher stock levels. To minimize financial risks, SIC is best suited for:

  • Low-cost items.
  • Items with predictable demand or short lead times.


Applications of SIC

  • Low-Cost Items: Particularly effective for inexpensive goods.
  • Predictable Demand or Short Lead Time: Suitable when demand patterns are stable or lead times are minimal.
  • Warehouse-Specific Planning: Useful for planning by warehouse rather than across the supply chain.
  • Trading Industries: Commonly employed in sectors like supermarkets.
  • Immediate Demands: Effective for items required immediately by customers.
  • Ease of Use: Simple to implement and manage.


Limitations of SIC

  • Does not account for dependent demand from planned orders (e.g., MPS/MRP/INV).
  • Does not generate distribution orders.
  • Ignores time-phased planned orders.
  • Lacks forecast consumption techniques.
  • Uses both nettable and non-nettable warehouses.

How SIC Works

SIC operates based on the Reorder Point, Stock Levels, and Order Method.

Triggering SIC

When Economic Stocks (calculated as On-Hand Inventory + On-Order – Allocated Stocks) on the Horizon Date fall below the Reorder Point, SIC triggers the creation of:

  • Planned Purchase Advice.
  • Planned Production Advice.


Order Methods in SIC

The quantity for these advices is determined by the Order Method, which can be one of the following:

  • Replenish to Maximum Stock
  • Fixed Order Quantity
  • Economic Order Quantity (EOQ)
  • Lot-for-Lot

Example: SIC in a Supermarket

Scenario: Managing stock for Ice Cream (1 Kg Pack)

  • Current Stock: 10 PCs
  • Reorder Point: 5 PCs
  • Safety Stock: 2 PCs
  • Lead Time: 1 Day
  • Order Method: Replenish to Maximum (Maximum Stock: 20 PCs)
  • Maximum Anticipated Consumption: 3 PCs/Day

Process:

  1. Customer purchases reduce the stock.
  2. When stock reaches 5 PCs, SIC is triggered.
  3. A Purchase Advice is generated for 15 PCs to replenish stock to the maximum level (20 PCs).
  4. During the lead time (1 day), the remaining 3 PCs (excluding Safety Stock) meet customer demands.
  5. In emergencies, Safety Stock can also be utilized.

Statistical Inventory Control offers a practical approach for managing inventory levels, particularly in industries with predictable demand or fast-moving items. However, its limitations make it less ideal for complex or time-phased planning scenarios.

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