The Elements of Joint Learning and Optimization in Operations Management / Springer Series in Supply Chain Management Bd.18 (PDF)

Xi Chen is an Assistant Professor of Information, Operations and Management Sciences in New York University Stern School of Business (US). Professor Chen studies machine learning and optimization, high-dimensional statistics and operations research. He is developing parametric and non-parametric statistical methods as well as efficient optimization algorithms to address challenges in high-dimensional data analysis. He also works on statistical learning and online decision-making for crowdsourcing. He also investigates operations research/management problems, such as the optimal network design in process flexibility, approximate dynamic programming and revenue management.

Stefanus Jasin is an Assistant Professor of Technology and Operations at the Ross School of Business, University of Michigan, Ann Arbor (US). He is broadly interested in many topics that lie at the intersection of OR, OM, IS, and Marketing, with an emphasis on developing provably near-optimal and easily implementable heuristic controls. Some of his works include: real-time pricing, e-commerce order fulfillment, assortment optimization, delivery consolidation, inventory optimization, and joint learning and optimization. Most recently, he is also working on optimization in the on-demand market.

Cong Shi is an Associate Professor at the University of Michigan (US). His research is focused on the design of efficient algorithms with theoretical performance guarantees for stochastic optimization models in operations management. Main areas of applications include inventory control, supply chain management, revenue management, and service operations.