An integrated data-driven method using deep learning for a newsvendor problem with unobservable features

From Predictive to Prescriptive Analytics

(2019) Dimitris Bertsimas et al.   MANAGEMENT SCIENCE

Structural Results for Average‐Cost Inventory Models with Markov‐Modulated Demand and Partial Information

(2019) Harun Avci et al.   PRODUCTION AND OPERATIONS MANAGEMENT

Applying deep learning to the newsvendor problem

(2019) Afshin Oroojlooyjadid et al.   IISE Transactions

Data-driven control of a production system by using marking-dependent threshold policy

(2019) Siamak Khayyati et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

The Big Data Newsvendor: Practical Insights from Machine Learning

(2018) Gah-Yi Ban et al.   OPERATIONS RESEARCH

On Implications of Demand Censoring in the Newsvendor Problem

(2013) Omar Besbes et al.   MANAGEMENT SCIENCE

Differences in Retail Inventory Investment Behavior During Macroeconomic Shocks: Role of Service Level

(2013) Saravanan Kesavan et al.   PRODUCTION AND OPERATIONS MANAGEMENT

Single-Stage Approximations for Optimal Policies in Serial Inventory Systems with Nonstationary Demand

(2012) Kevin H. Shang   M&SOM-Manufacturing & Service Operations Management

Inventory management with random supply and imperfect information: A hidden Markov model

(2011) Kenan Arifoğlu et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

The Timing of Staffing Decisions in Hospital Operating Rooms: Incorporating Workload Heterogeneity into the Newsvendor Problem

(2011) Biyu He et al.   M&SOM-Manufacturing & Service Operations Management

Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator

(2011) Woonghee Tim Huh et al.   OPERATIONS RESEARCH

Predicting consumer behavior with Web search

(2010) Sharad Goel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Optimal policies for inventory systems with finite capacity and partially observed Markov-modulated demand and supply processes

(2009) Kenan Arifoğlu et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis

(2008) Tuğba Efendigil et al.   EXPERT SYSTEMS WITH APPLICATIONS

Regret in the Newsvendor Model with Partial Information

(2008) Georgia Perakis et al.   OPERATIONS RESEARCH