Please Wait a Moment
X

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

Crossroads Connections

Infor ERP Tips & News from the Experts

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

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.

Previous Article News You Can Use - Infor: What's new with LX 8.4.2
Next Article Infor LN & Baan Tips & Tricks for TECHNOLOGY: Archiving Data from tipcs300 and ticst300 Tables
Print
66183 Rate this article:
5.0

Contact

Kathy Barthelt

Kathy BartheltKathy Barthelt

Other posts by Kathy Barthelt

Contact author

Please solve captcha
x

Tips:  LX | BPCS | M3

Tips: LN | Baan

For many manufacturers, ERP has been the foundation of their business for years. It manages orders, inventory, production, purchasing, and financials. But as technology and business demands continue to evolve, many organizations are beginning to ask a different question:

Is our ERP environment ready for what's next?

For some, that conversation includes cloud migration. For others, it's about integration, visibility, analytics, or supporting future growth.

The good news is that modernization doesn't have to start with a major migration project.

Start with the Business, Not the Technology

One of the biggest misconceptions about modernization is that it begins with selecting a new platform.

In reality, the most successful projects begin by understanding the business challenges you're trying to solve.

Questions worth asking include:

Categories