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Mug Bring A Problem
1. Bay Area Metrics User Group
May 2010
Case Study
Business Process Change
And Metrics Development
2. Business Case Scenario
• Congress has mandated increased security screening
of air cargo in late 2010
• Additional process is required to ensure security of
cargo similar to passenger security we experience
today
• 150 Pieces per Hour can be Processed with new
process
• Key Data Elements are Time and Volume
– Volume is defined as shipments, pieces and weight
3. Business Objectives
• 100% Compliance with new regulations
• Current Service Levels must be maintained
• Minimize Labor Additions and Cost
• Integrate New Business Process and take
advantage of opportunities in the existing
process
• Use Existing Data and Develop Key Metrics to
support objectives
4. Session Objectives
• Determine Possible Data Elements and Usage from a
large set of data
• Develop Possible Metrics for Utilization in achieving
the Business Objectives
• Brainstorm and Recommend data manipulation
methods for use in determining metrics
• Lively Discussion on Data, Metrics and Data
Manipulation
5. Shipment Process
Receiving
Scanning
Office
Processing
Processing Window – 3pm to Midnight
6. Group One – Office Processing
• Data – Shipment Information Report Extract
• Source – Shipment Processing System
• Data Quality – High
• Critical Elements to Consider
– Time
– Volume
• Questions?
– Which Data Elements will be key to developing metrics?
– What are possible Metrics based on the data and critical
elements of time and volume?
– How can customer information be important to time and
volume?
7. Group Two – Receiving and Scanning
• Data – Warehouse Receiving Log
• Source – Manual Entry
• Data Quality – Medium
• Critical Elements to Consider
– Time
– Volume
– Processing Time of 150 Pieces per Hour
• Questions?
– What is the critical relationship in the data that can be
used to develop a metric?
– Develop a metric based on the critical elements
– How and why is date important?
8. Group 3 – Data Analysis
• Questions?
– How do you organize multi forms of data?
– What methods of Data Manipulation are
recommended?
– What data elements can be useful based on the
processing time of 150 pieces per hour?
– Weight versus Pieces – Are both important to this
analysis?
