Workforce planning at USPS mail processing and distribution centers using stochastic optimization

Keyphrases

• United States 100%
• Distribution Center 100%
• Stochastic Optimization 100%
• Workforce Planning 100%
• Postal Services 100%
• Processing Center 100%
• Labor Costs 33%
• Dallas 33%
• Stochastic Optimization Problem 33%
• Large Volume 33%
• Historical Data 33%
• Planning Problem 33%
• Scheduling Problem 33%
• Service Organizations 33%
• Integer Programming 33%
• Contractual Agreement 33%
• High Demand 33%
• Demand Uncertainty 33%
• Fluctuating Demand 33%
• Low Demand 33%
• Scheduling Method 33%
• Demand Distribution 33%
• Part-time Workers 33%
• Two-stage Stochastic Integer Programming 33%
• Month-of-the-year Effect 33%
• Medium Demand 33%
• Staff Scheduling 33%
• Stochastic Integer Programming 33%
• Staff Planning 33%
• Integer Programming Model 33%
• Recourse Problem 33%
• Personnel Scheduling 33%
• Casual Labour 33%
• Contractual Labour 33%

Social Sciences

• Stochastics 100%
• Workforce Planning 100%
• Personnel Scheduling 25%
• Labor Costs 25%
• Personnel 25%
• Integer Programming 25%

Economics, Econometrics and Finance

• Workforce 100%
• Postal Services 100%
• Scheduling Problem 20%
• Labor Cost 20%
• Demand Uncertainty 20%