Gang Wang

Gang Wang, PhD

Assisant Professor

Decision & Information Sciences



Charlton College of Business 214


2013Rutgers UniversityPhD
2008Dalian University of TechnologyScD
2003Dalian University of TechnologyBS



Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.


Online and Continuing Education Courses

Analysis of the concepts of business logistics from a global operations perspective. Topics include customer service, inventory management, information systems, order processing and fulfillment, transportation, third party logistics, warehousing, logistics relationships, performance measurement, and logistics strategy. Emphasis will be placed on challenges related to providing logistical support for procurement, manufacturing and distribution.
Register for this course.


Research Interests

  • Supply chain optimization
  • Supply chain sustainability
  • Supply chain dynamics
  • Supply chain finance
  • Combinatorial optimization

Select publications

Shi, Zhengzhong; Wang, Gang (2018).
Integration of big-data ERP and business analytics (BA)
The Journal of High Technology Management Research, 29(2), 141-150.

Gang Wang is an Assistant Professor in the Decision & Information Sciences Department at the Charlton College of Business. He earned his Ph.D. in Supply Chain Management from Rutgers University. He also holds another Ph.D. in Operations Research in China. Prior to joining UMass Dartmouth, he taught MBA and EMBA at Kean University. He was also Supply Chain Consultant for logistics companies in China. His research interests focus on supply chain optimization, supply chain sustainability, supply chain dynamics, and supply chain finance. In addition, he is interested in combinatorial optimization, optimal control, non-smooth optimization, and approximation algorithms.

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