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CEO: Jinsoo Park | Business Registration No. 507-86-01649
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Customer Center 1566-9527
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Operations SystemsWES

Warehouse Execution System

WES

A system that optimizes execution logic between WMS work orders and automation equipment. Through wave generation, work prioritization, resource balancing, and bottleneck control, it maximizes on-site execution efficiency from picking to outbound and supports stable SLA compliance even during peak times.

Task OrchestrationWave PlanningExecutionBalancingVisibilityControl

Execution Optimization Control Tower

Operational Story

WES Operation Architecture

Task Execution Flow Optimized Around the Site

Dynamically adjusts the execution order and priority of combined tasks, such as picking, replenishment, transport, and outbound, to match real-time site conditions. Real-time visibility into workload by worker, equipment, and zone keeps task processing stable and free of bottlenecks.

Task Execution Flow Optimized Around the SiteExecution Optimization
Through Wave Control and Resource BalancingConnecting Planning and Execution
Through WMS-WCS Integration
Configuration

System Configuration

On-Site Execution Optimization Management
On-Site Execution Optimization Management

Wave-based order grouping and workflow optimization

Balanced resource load distribution and priority-based task control

Real-time orchestration and execution management across the entire process

Integrated Control and Interface
Integrated Control and Interface

Real-time dashboard monitoring of work status, bottlenecks, and throughput

Optimized equipment and labor allocation with automated resource redistribution

Bidirectional integration with upstream and downstream systems such as WMS, WCS, and MES

Expected Benefits

Expected Benefits / Operational Impact

Execution Optimization
Dynamic task sequence adjustment
Processing Efficiency
Improved flow with fewer bottlenecks
Task Allocation
Even distribution of resource load
SLA Compliance
Stable operation during peak hours
Productivity Improvement
Increased on-site execution efficiency
Real-Time Analytics
Instant visibility into bottlenecks and throughput

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