Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing

Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations

(2021) Jiankun Sun et al.   MANAGEMENT SCIENCE

A Review of Empirical Operations Management over the Last Two Decades

(2019) Christian Terwiesch et al.   M&SOM-Manufacturing & Service Operations Management

Data Analytics in Operations Management: A Review

(2019) Velibor V. Mišić et al.   M&SOM-Manufacturing & Service Operations Management

Industry 4.0: Opportunities and Challenges for Operations Management

(2019) Tava Lennon Olsen et al.   M&SOM-Manufacturing & Service Operations Management

How Sustainable Is Big Data?

(2018) Charles J. Corbett   PRODUCTION AND OPERATIONS MANAGEMENT

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Optimal classification trees

(2017) Dimitris Bertsimas et al.   MACHINE LEARNING

Smart manufacturing must embrace big data

(2017) Andrew Kusiak   NATURE

The Operational Value of Social Media Information

(2017) Ruomeng Cui et al.   PRODUCTION AND OPERATIONS MANAGEMENT

Development of a soldering quality classifier system using a hybrid data mining approach

(2011) Tsung-Nan Tsai   EXPERT SYSTEMS WITH APPLICATIONS

AN EXAMINATION OF THE INDIRECT PRODUCTIVITY GAINS FROM QUALITY IMPROVEMENT

(2010) CHRISTOPHER D. ITTNER   PRODUCTION AND OPERATIONS MANAGEMENT

Fuzzy neural network based yield prediction model for semiconductor manufacturing system

(2009) Lihui Wu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH