University of Massachusetts Amherst

Search Google Appliance


Research Area: Systems Engineering

The Systems Engineering Group, consists of two separate labs: the Dynamic Facilities Layout and Simulation Modeling Laboratory and the Supply Chain Management Group. The Dynamic Facilities Layout and Simulation Modeling Laboratory conducts research in the following areas topological network design, facility layout and location, stochastic network design and analysis, Steiner minimal Trees in 3-dimensions, and state dependent queueing network analysis and finite buffer queueing network models. The laboratory has carried out many and varied projects for manufacturing and service industries in and around Massachusetts, and J. McGregor Smith is a co-author of the textbook "Facilities, Planning, and Design." Within the broad and rapidly evolving field of Supply Chain Management the Supply Chain Management Group headed by Professor Ana Muriel, focuses on analyzing and modeling the coordination of production, inventory, distribution and pricing policies of the supply network.

Research Laboratories

Dynamic Facilities Layout and Simulation Modeling Lab

Our laboratory conducts research in the following areas

  • topological network design
  • facility layout and location
  • stochastic network design and analysis
  • Steiner minimal Trees in 3-dimensions
  • state dependent queueing network analysis and finite buffer queueing network models

Real world applications of our research include

  • the design and layout of manufacturing plants, health care facilities, and many other production and service oriented systems
  • analysis of routing in large transportation networks
  • modeling and evaluation of building and vehicular evacuation in case of emergencies
Operations Research for Disease Prediction, Prevention, and Control

Disease — a threat that is common to all human beings across the globe and across generations. Prediction of diseases is a tough problem because it is the outcome of a complex dynamical system that consists of interactions between multiple factors related to epidemiological, social, economical, environmental, population mobility, demographical, and individual behavioral and lifestyle. Disease prevention and intervention decisions, and subsequently resource allocation, at the national and global levels thus need to be based on evaluations of the impact of alternative decisions under this complex dynamical context. Our lab works on development of new methodologies and computational models for simulating the dynamics of disease incidence and spread for purposes of disease prediction, prevention, and control.

Operations Research in Health Care

Our primary research interests are broadly in operations research applied to healthcare delivery. Some examples: I've worked on planning and scheduling of surgical suites; designing primary care physician panels to maximize timeliness and patient-physician continuity; and optimization of prostate cancer screening decisions. We have also recently begun looking at improving emergency room operations. In addressing these problems, we collaborate with a diverse set of...Read More

Supply Chain Management

"Supply Chain Management takes a holistic approach towards managing the flow of material and information throughout the supply network - including different tiers of suppliers, manufacturers, warehouses and stores - in order to maximize system-wide profits and create customer value."