Gang Wang

faculty

Gang Wang, PhD

Associate Professor

Decision & Information Sciences

Contact

508-999-8870

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Charlton College of Business 214

Education

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

Teaching

Courses

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.

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.

Teaching

Online and Continuing Education Courses

Managerial, policy and analytical matters influence the creation of time and place utility through the movement of products and people. The course covers economics, business and management, and policy topics that shape the transportation service's environment. It primarily examines transportation regulation and policy, economics, modes and operating characteristics, risk management, and global planning issues affecting market access to goods and services.
Register for this course.

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.
Register for this course.

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.
Register for this course.

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.
Register for this course.

Service operations and contemporary policy issues related to health care. Health care spending and costs, quality of care delivered, use of health information technology and other topics affecting the efficiency and effectiveness of health care are examined from a multidisciplinary perspective that embraces both business and policy disciplines. Operational, financial, and system concerns are covered in the course.
Register for this course.

Research

Research interests

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

Select publications

  • Gang Wang (2021).
    Integrated supply chain scheduling of procurement, production, and distribution under spillover effects
    Computers & Operations Research, 126, 105105.

Gang Wang is an Associate Professor in the Decision & Information Sciences Department at the Charlton College of Business. He earned one Ph.D. in Supply Chain Management from Rutgers University and the other Ph.D. in Operations Research. Before joining UMass Dartmouth, he taught MBA and EMBA at Kean University. His research interests focus on supply chain optimization, sustainability, dynamics, and finance. In addition, he is interested in combinatorial optimization and non-smooth optimization.