Advanced Warehouse Management and Inventory Control

 Day 1

•   From warehouse to a distribution centre
•   Location, storage and mixing
•   Creating the basis for classification
•   Understanding the differences in warehousing activities based on location
•   Demand Forecasting: Importance of forecasting; qualitative techniques of forecasting.
•   Forecasting models: Moving average, weighted moving average, exponential smoothing.

Day 2

•   Creating processes for the line processes receive, put and pick
•   Making variations in the line process (pallet pick, case pick, etc.)
•   Accurate data management and Inventory counts
•   Customer order profiling
•   Item activity and inventory profiling
•   Calendar clock profiles

Day 3

•   Selecting the right warehousing physical structure
•   Issues on warehouse flooring
•   Choosing the right racking systems
•   Determining the space requirements
•   Advanced forecasting models: Exponentially weighted moving average; isolating trend and seasonal components.
•   Measures of forecasting accuracy and error. Case study on forecasting.
•   Inventory Management: Types of inventory, inventory costs, and performance measures. 

Day 4

•   Choosing the right performance measures
•   Performance gap analysis
•   Economic Order Quantity (or Interval) model: Basic model, all-units quantity discount model, etc.
•   Just-in-time procurement: Definition and comparison with the EOQ model.
•   Types of handling equipment
•   Effective maintenance of equipment
•   Calculations of for selecting the right equipment

Day 5

•   Do’s and Don’ts of warehouse automation
•   Justification, selection and implementation of WMS
•   Automation tools and technologies
•   Material Requirement Planning: Using MRP to determine order schedules for suppliers.
•   Vendor-managed inventory: Realities and myths surrounding VMI practice.