Muer Yang

Assistant Professor, DSCI / Ops Supply Chain Mgmt

yang0854@stthomas.edu

(651) 962-4159

Minneapolis Campus
1000 LaSalle Ave
Schulze Hall 427
Minneapolis, MN 55403

Ph.D., Operations Management, University of Cincinnati
M.S., P.R. China, Tsinghua University - School of Economics & Management
B.S., P.R. China, Tsinghua University - School of Economics & Management

See my articles and publications

Muer Yang earned his Ph.D. in operations management from the University of Cincinnati.

Yang's research applies novel aspects in simulation and optimization models to the areas of high impact, such as public policies and health care management. In particular, he has examined methods to improve voting operations in terms of equity and efficiency; and he applies simulation models to improve patient flow and staffing levels in hospitals.

His teaching philosophy centers on the translation of knowledge into practical skills that bridge the classroom and the real business environments. He teaches classes at the undergraduate and MBA levels, including operations management and business statistics.

Fall 2014 Courses
Fall 2014 Courses
Crs - Sec Title Days Time Location
OPMT 310 - 01 Operations Management M - W - - - - 1315 - 1455 SCH 421
Description of course Operations Management : CRN: 42829
Operations management focuses on planning, coordination and control of activities involved in the transformation of resources into goods and services. This course will examine the concepts and techniques utilized in the mangement of manufacturing and service operations. This course will focus on the strategic use of the tactical tools of operations mangement. Topics covered include the management of process, technology, production, six-sigma quality, inventory, suply chain, workforce, business process improvement and lean management in operating systems. After completing this course, students will have a great appreciation for the strategic power of the operations function and greater knowledge of how effective operations mangement can enable an organization to attain a sustainable competitive advantage. Prerequisites: Junior standing; STAT 220; and MATH 101 or higher; concurrent or previous enrollment in MGMT 305 reccommended

Schedule Details

Location Time Day(s)
OPMT 310 - 02 Operations Management M - W - - - - 1515 - 1655 SCH 301
Description of course Operations Management : CRN: 42830
Operations management focuses on planning, coordination and control of activities involved in the transformation of resources into goods and services. This course will examine the concepts and techniques utilized in the mangement of manufacturing and service operations. This course will focus on the strategic use of the tactical tools of operations mangement. Topics covered include the management of process, technology, production, six-sigma quality, inventory, suply chain, workforce, business process improvement and lean management in operating systems. After completing this course, students will have a great appreciation for the strategic power of the operations function and greater knowledge of how effective operations mangement can enable an organization to attain a sustainable competitive advantage. Prerequisites: Junior standing; STAT 220; and MATH 101 or higher; concurrent or previous enrollment in MGMT 305 reccommended

Schedule Details

Location Time Day(s)
OPMT 600 - 422 Stat.Methods for Dec. Making - - - R F S - 0730 - 1700 TMH 401
Description of course Stat.Methods for Dec. Making : CRN: 42849
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
J-Term 2015 Courses
J-Term 2015 Courses
Crs - Sec Title Days Time Location
Spring 2015 Courses
Spring 2015 Courses
Crs - Sec Title Days Time Location
OPMT 310 - 01 Operations Management M - W - - - - 0915 - 1055
Description of course Operations Management : CRN: 22092
Operations management focuses on planning, coordination and control of activities involved in the transformation of resources into goods and services. This course will examine the concepts and techniques utilized in the mangement of manufacturing and service operations. This course will focus on the strategic use of the tactical tools of operations mangement. Topics covered include the management of process, technology, production, six-sigma quality, inventory, suply chain, workforce, business process improvement and lean management in operating systems. After completing this course, students will have a great appreciation for the strategic power of the operations function and greater knowledge of how effective operations mangement can enable an organization to attain a sustainable competitive advantage. Prerequisites: Junior standing; STAT 220; and MATH 101 or higher; concurrent or previous enrollment in MGMT 305 reccommended

Schedule Details

Location Time Day(s)
OPMT 310 - 02 Operations Management M - W - - - - 1115 - 1255
Description of course Operations Management : CRN: 22093
Operations management focuses on planning, coordination and control of activities involved in the transformation of resources into goods and services. This course will examine the concepts and techniques utilized in the mangement of manufacturing and service operations. This course will focus on the strategic use of the tactical tools of operations mangement. Topics covered include the management of process, technology, production, six-sigma quality, inventory, suply chain, workforce, business process improvement and lean management in operating systems. After completing this course, students will have a great appreciation for the strategic power of the operations function and greater knowledge of how effective operations mangement can enable an organization to attain a sustainable competitive advantage. Prerequisites: Junior standing; STAT 220; and MATH 101 or higher; concurrent or previous enrollment in MGMT 305 reccommended

Schedule Details

Location Time Day(s)
Academic and Professional Positions
  • Assistant Professor, University of St. Thomas, St. Paul / Mpls (2011 - present)
  • Instructor, University of Cincinnati - College of Business, Cincinnati (2008 - 2011)
  • Teaching Assistant, University of Cincinnati - College of Business, Cincinnati (2006 - 2009)
  • Consultant, Bexcel Management Consultants, Beijing (2006 - 2006)
  • Research Consultant, TNS Marketing Consultancy Co Ltd., Beijing (2005 - 2005)

Professional Memberships
  • Institute for Operations Research and the Management
  • Production and Operations Management Society

Professional Service
  • International Journal of Production Economics (IJPE), Reviewer
  • INFOR - Information Systems and Operational Research, Reviewer
  • DSI - Decision Sciences Institute, Reviewer

Major Works
  • Fry, M., & Yang, M. (forthcoming). Wiley Encyclopedia of Operations Research and Management Science. In J.J. Cochran et. al (Ed.), Case study: Using OR to overcome challenges in implementing new voting technologies. New Jersey: John Wiley & Son, Inc
  • Yang, M., Fry, M. J., & Surlock, C. (forthcoming). The ICU will see you now: Efficient-equitable admission control policies for a surgical ICU with batch arrivals. IIE Transactions,
  • Yang, M., Fry, M. J., Kelton, W. D., & Allen, T. T. (2014). Improving voting systems through service operations management. Production and Operations Management, (23)(7), pp. 1083-1097
  • Fry, M. J., & Yang, M. (2013). Using OR to overcome challenges in implementing new voting technologies. Wiley Encyclopedia of Operations Research and Management Science, pp. 1-8
  • Jing, S., Wang, S., & Yang, M. (2013). Process capability analyses. Tsinghua University Press
  • Yang, M., Allen, T. T., Fry, M. J., & Kelton, W. D. (2013). The call for equity: Simulation-optimization models to minimize the range of waiting times. IIE Transactions, (45)(7), pp. 781-795
  • Yang, M., Fry, M. J., Raikhelkar, J., Chin, C., Anyanwu, A., Brand, J., & Scurlock, C. (2013). A model to create an efficient and equitable admission policy for patients arriving to the cardiothoracic intensive care unit. Critical Care Medicine, (41)(2), pp. 414-422
  • Yang, M., & Sun, J. (2008). A VAR control scheme for multivariate autocorrelated observations. Application of Statistics and Management, (27)(2), pp. 298-303
  • Yang, M. (2005). Tips for Excel 2003/XP. (written case with instructional material)
  • Yang, M. (2005). Advanced cases for Excel 2003/XP. (written case with instructional material)

Research Interests
  • Health Care
  • Operations
  • Simulation

Presentations
  • "Managing tele-ICUs: A service factory for the critically ill" POMS - Production and Operations Management Society, Atlanta, Georgia, May 01, 2014
  • "Modeling business value of global planning at 3M Company" OCB Faculty Research Symposium, Minneapolis, Minnesota, April 01, 2014
  • "Modeling business value of global planning at 3M Company" INFORMS - Institute for Operations Research and Management Sciences, Minneapolis, Minnesota, October 01, 2013
  • "• The ICU will see you now: Efficient-equitable admission policies" INFORMS - Institute for Operations Research and Management Sciences, Minneapolis, Minnesota, October 01, 2013
  • "Operations improvement for tele-ICUs" POMS - Production and Organization Management Society, Denver, Colorado, May 01, 2013
  • "Operations improvement for tele-ICUs" OCB Faculty Research Symposium, Minneapolis, MInnesota, April 01, 2013
  • "Building flexibility in U.S. healthcare delivery through medical tourism" INFORMS - Institute for Operations Research and Management Sciences, Phoenix, Arizona, October 01, 2012
  • "Robust voting machine allocations" INFORMS - Institute for Operations Research and Management Sciences, Phoenix, Arizona, October 01, 2012
  • "Efficient-equitable allocation policies for the voting systems" POMS - Production and Managements Society, Chicago, IL, April 01, 2012
  • "The ICU will see you now: Efficient-equitable admission control policies for a surgical ICU with batch arrival" POMS - Production and Managements Society, Chicago, IL, April 01, 2012
  • "Using OR to improve voting operations" INFORMS - Institute for Operations Research and Management Sciences, Charlotte, NC, November 01, 2011
  • "Who is the next patient in ICU?" INFORMS - Institute for Operations Research and Management Sciences, Charlotte, NC, November 01, 2011
  • "Simulation-optimization methods for resource allocation to achieve equity" INFORMS - Institute for Operations Research and the Management Sciences, Austin, TX, November 01, 2010
  • "Voting machine allocation to achieve equity" POMS - Production and Operations Management Society, Vancouver, Canada, May 01, 2010
  • "Allocating DRE voting machines to achieve efficiency and equity" INFORMS - Institute for Operations Research and the Managemnet Sciences, San Diego, CA, October 01, 2009
  • "Allocation policies for DRE voting machines to maximize voter equity" CORS / INFORMS - Canadian Ops Research Society and Institute for Ops Research and the Management Sciences, Toronto, Canada, June 01, 2009
  • "A vector autoregressive scheme for multivariate autocorrelated processes" INFORMS - Institute for Operations Research and the Management Sciences, Puerto Rico, July 01, 2007