Managing business process flows : principles of operations management

Can Deep Reinforcement Learning Improve Inventory Management? Performance on …

Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory problems? Academic/practical relevance: Given that DRL has successfully been applied in computer games and ro…

Optimal Dynamic Appointment Scheduling of Base and Surge Capacity

Problem definition: We study dynamic stochastic appointment scheduling when delaying appointments increases the risk of incurring costly failures, such as readmissions in healthcare or engine failu…

Predicting Human Discretion to Adjust Algorithmic Prescription : A Large-Scal…

Conventional optimization algorithms that prescribe order packing instructions (which items to pack in which sequence in which box) focus on box volume utilization yet tend to overlook human behavi…

Dual Sourcing and Smoothing Under Nonstationary Demand Time Series : Reshorin…

We investigate near-shoring a small part of the global production to local SpeedFactories that serve only the variable demand. The short lead time of the responsive SpeedFactory reduces the risk of…

Collaboration, Interruptions, and Changeover Times : Workflow Model and Empir…

Robust Dual Sourcing Inventory Management : Optimality of Capped Dual Index P…

Capacity and Inventory Management : Review, Trends, and Projections

Product Life Cycle Data Set : Raw and Cleaned Data of Weekly Orders for Perso…

Forecasting New Product Life Cycle Curves : Practical Approach and Empirical …