In high-volume e-commerce environments, poor WO design leads to:

• Uneven picker workload

• Congestion in zones

• Reduced productivity

• Delays in wave completion

Let’s break down the correct approach used in real projects.

🔎 1️⃣ Understand the Standard WO Creation Logic

Standard EWM creates Warehouse Orders based on:

• Warehouse Order Creation Rule (WOCR)

• Activity area

• Queue

• WO sorting rule

• Limits (max WT, weight, volume, etc.)

⚠ Important:
Standard logic does not automatically evaluate real-time picker workload unless properly designed.

🏗 2️⃣ Best Design Approach for Workload Balancing

✅ A. Proper Queue Design (Foundation)

Queues should be:

• Zone-based (e.g., Picking Zone A, B, C)

• Activity-based (Pick, Replenishment, Putaway)

• Priority-based

Each resource should be assigned to a resource group linked to specific queues.

Good queue design prevents workload clustering.

✅ B. Warehouse Order Creation Rules (WOCR)

WOCR is the most important object for workload distribution.

Key settings:

• Maximum number of Warehouse Tasks per WO

• Maximum weight

• Maximum volume

• Maximum processing time

• Activity area grouping

Instead of creating large WOs, configure smaller logical groupings.

Example:

Instead of:
20 WT per WO

Use:
5–8 WT per WO

This naturally distributes work more evenly.

✅ C. WO Sorting & Item Filters

Sorting rules control:

• Sequence of tasks

• Travel path optimization

• Consolidation behavior

Balanced sorting avoids assigning heavy WOs to same zone repeatedly.

✅ D. Resource Management Configuration

In:

SPRO → EWM → Resource Management

Important objects:

• Resource type

• Resource group

• Queue assignment

• Execution priority

Ensure:

• Resources assigned dynamically to multiple queues

• No static binding unless required

Dynamic queue assignment improves load distribution.

✅ E. Use of Labor Management (Advanced Scenario)

If Labor Management is active:

System can consider:

• Standard processing time

• Resource capacity

• Planned workload

• Performance metrics

This enables workload-based decision-making instead of static assignment.

In high-volume warehouses, LM is strongly recommended.

🔄 3️⃣ Real-Time Workload Balancing (Advanced Enhancement)

Standard EWM does not automatically check:

👉 “How many open WOs does this picker currently have?”

For advanced balancing, projects implement BAdI enhancements.

Common BAdIs used:

• /SCWM/EX_WHO_CREATE

• /SCWM/EX_WHO_ASSIGN

• /SCWM/EX_RSRC_QUEUE

Enhancement logic can:

• Check number of open WOs per resource

• Evaluate total open WT count

• Compare workload across resource group

• Dynamically assign WO to least-loaded picker

This is common in e-commerce implementations.

🛠 4️⃣ Practical Real-Project Design Pattern

In one high-volume fulfillment center:

Problem:
Few pickers overloaded while others idle.

Solution implemented:

1. Reduced max WT per WO

2. Activated dynamic queue determination

3. Implemented BAdI to:

   • Count open WOs per resource

   • Assign new WO to resource with least open tasks

Result:

• 18% improvement in picking throughput

• Balanced workload

• Reduced picker idle time

🔍 5️⃣ Configuration Objects That Influence Workload Distribution

✔ Warehouse Order Creation Rule (WOCR)
✔ Queue determination
✔ Resource group assignment
✔ Activity area configuration
✔ WO sorting rules
✔ Labor Management settings
✔ BAdI enhancements

WOCR + Queue design are the biggest influencers.

🛡 Recommended Strategy for Your Scenario

Step 1: Review WOCR limits
Step 2: Reduce WO size if too large
Step 3: Ensure multiple queues per activity
Step 4: Enable dynamic resource-queue mapping
Step 5: If imbalance continues → Implement BAdI logic

Avoid overcomplicated enhancement before optimizing configuration.

🎯 Final Conclusion

To balance picker workload during automatic WO creation in SAP EWM:

• Design proper queue structure

• Optimize WOCR limits

• Use resource groups intelligently

• Activate Labor Management (if available)

• Implement BAdI for dynamic assignment if needed

Standard configuration handles basic distribution.
Advanced balancing requires enhancement logic.