授课人：Dr. Qi Zhang

              Department of Chemical Engineering, Carnegie Mellon University, USA.

课程时间：2016年6月21日-6月30日

课程地点:  玉泉校区控制学院工控新楼  105/ 501

课程简介：

Enterprise-wide optimization (EWO) involves optimizing the operations of R&D, material supply, manufacturing, distribution and financial activities of a company to reduce costs and inventories, and to maximize profits, asset utilization, responsiveness and customer satisfaction. The key feature of EWO is integration of the information, modeling and solution methods. This short course focuses on two practical interests of EWO, the demand side management (DSM) and supply chain optimization (SCO), as well as the basic solution methodology of EWO.

课程安排：

Seminar I: Room 105, 13:30-15:00, June 21^th

          Enterprise-wide Optimization for Industrial Demand Side Management Under Uncertainty

Lecture I:  Room 105, 13:30-16:00, June 22^th

       Basics of Mixed-Integer Linear Programming (MILP)

Lecture II: Room 105, 13:30-16:00, June 23^th

       Solution Techniques for MILPs

Lecture III: Room 501, 13:30-16:00, June 24^th

       Mixed-Integer Nonlinear Programming (MINLP)

Lecture IV: Room 105, 13:30-16:00, June 27^th

       MINLP Models for Process Synthesis

Lecture V: Room 105, 13:30-16:00, June 28^th

       MILP Models for Planning and Scheduling

Seminar II: Room 105, 13:30-15:00, June 30^th

       Recent Advances in Supply Chain Optimization for the Process Industries

授课人简介

Dr. Qi Zhang obtained his M.Sc. degree in Process System Engineering from Imperial College London in 2012 and his PhD degree in Chemical Engineering from Carnegie Mellon University in 2016. His research interests lie in enterprise-wide optimization (EWO), supply chain optimization (SCO), optimization under uncertainty and industrial demand side management (DSM). He is an author on over 10 journal publications and has given more than 10 conference presentations, including ESCAPE, AIChE, Informs etc. He will be joining BASF Germany this year.