Supply Chain Management

(Supply Chain Management Department, Rutgers Business School)

 

26:799:660 Supply Chain Modeling & Algorithms
Fall 2009 and every second fall thereafter.
This course focuses on the application of management science techniques to model the newest emerging supply chain planning problems (such as reverse logistics, integrated production, inventory and distribution problems, multi-partner pricing analysis, supply chain distribution network design, location analysis and transportation capacity planning, etc.) to meet the changing needs of new generations of our Ph.D. students. The course also focuses on the processes of developing new search algorithms and error bound analysis to effectively solve such practical business decision and optimization problems. Academic researchers and selected industry executives will be invited to the classroom to present the pipeline research results and new challenges encountered in supply chain management practices.

26:799:661 Stochastic Methods in Supply Chain Management
Spring 2010 and every second spring thereafter.
This course covers economic models in supply chain management under uncertainty. We study key management concepts such as contract design, competition, information asymmetry.

26:799:670 Multivariate Analysis
Fall 2006 and every second spring thereafter.
Multivariate normal distributions, principal components, factor analysis, canonical correlation, discrimination and classification. Prerequisite: 26:960:577.

26:799:672 Advanced Multivariate Analysis
Spring 2007 and every second spring thereafter

26:799:685 Special Topics in Supply Chain Management

The goal of this course is three-fold: (1) identify problems and key trade-offs in inventory management, (2) introduce the main stream literature that model, solve and understand these problems, (3) bring students to the frontier of this active research area. The course is targeted at graduate (M.S. or Ph.D.) students in the areas of operations management, operations research, industrial engineering and management science. To prepare students to do research and to train students for the job market, this course combines lectures, case studies, literature reading and presentations.

Supply Chain Marketing Interfaces

 

Inventory Management

 

Fundementals of Optimization for Supply Chain Management

26:799:686 First Early Research Seminar in Supply Chain Management

26:799:687 Second Early Research Seminar  in Supply Chain Management

26:799:688 Independent Study  in Supply Chain Management

26:799:799 Dissertation Research  in Supply Chain Management

 

Please note: Links to recent syllabi are provided where possible. In some cases, the link goes to the web site for the individual faculty member, where the syllabus is maintained. In other cases, the link allows you to download the syllabus. Other syllabi are available in the Program Office.

These syllabi are provided as information to potential applicants. They should also help current students make their individual study plans. But they are subject to change. Students should not buy books or make other plans related to a course until they have confirmed with the instructor that they have an up-to-date syllabus for the semester in which they are taking the course.

and Marketing Science