DEWA - Warehouse Operations and Management

DEWA – Warehouse Operations and Management

  • Overview

Overview

Warehouse Operations and Management

Course Overview

Efficient warehouse operations are essential for ensuring smooth supply chain performance, accurate inventory control, and timely availability of materials. Poor warehouse management can lead to delays, losses, safety risks, and increased operational costs.

This two-day program provides participants with practical knowledge of modern warehouse practices, including storage systems, inventory control, material handling, and safety management. The course emphasizes optimizing workflows, improving accuracy, and ensuring efficient utilization of space and resources.

Participants will gain the skills required to manage warehouse activities systematically and support reliable operations.

Learning Outcomes

  • Understand the key functions of warehouse operations, including receiving, storage, inventory control, and dispatch activities, to ensure smooth and efficient material flow.
  • Apply effective inventory management techniques to maintain accurate stock levels, minimize losses, and prevent shortages or overstock situations.
  • Organize warehouse layouts and storage systems to optimize space utilization, accessibility, and operational efficiency.
  • Implement safe material handling practices to reduce risks of accidents, damage, and operational disruptions.
  • Monitor warehouse performance using appropriate controls and procedures to improve productivity and service reliability.

 Course Outline

Module 1: Warehouse Fundamentals

  • Layout design
  • Material handling
  • Storage systems

Module 2: Inventory Management

  • Stock control
  • Forecasting basics
  • Cycle counting

Module 3: Operations Optimization

  • Workflow planning
  • Lean warehousing
  • Performance metrics

Module 4: Safety & Risk Management

  • Workplace safety
  • Equipment handling
  • Compliance standards

Module 5: Technology in Warehousing

  • WMS systems
  • Automation
  • Data analytics
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