Smart Operations by Transforming Data Into Value

Jay Chen, PhD | Biography
Operations & Supply Chain Management

Keywords: Optimization, Forecasting, Data Visualization

Description

Transforming Data Into Value

With data, companies can:

  • Describe what has happened through data visualization,
  • Predict what will happen through forecasting, and
  • Prescribe what should happen through optimization.
Business Applications

Transforming Data Into Value

With data, companies can:

  • Descriptive: performance dashboards (e.g., spend analysis to find ways for savings), disruption alerts (to avoid costly down time)
  • Predictive: forecasting, customer classification/clustering (to better serve and retain customers), recommendation (for cross selling)
  • Prescriptive: worker scheduling/production planning (to achieve minimum labor/production costs), pricing and revenue management (to obtain maximum revenue given limited capacity)
 
Case Study

Cost-Benefit Analysis of Radio-Frequency Identification (RFID)

  • Conducted quantitative analysis of implementing a RFID inventory tracking system to reduce human error in lost inventory and mis-shipment for a steel manufacturing company
  • Estimated return-on-investment (ROI): 80% (first year) and 300% (subsequent years)

Work Measurement, Simulation and Optimization Study

  • Applied time and motion study technique, simulation and optimization methods to measure, analyze and propose recommendations to improve technicians' work and on-time performance for a healthcare provider
  • Prevented a potential 20% increase in technician labor cost