Group members

Dr. Kai Yang is a Professor in the department of Industrial and Systems Engineering, Wayne State University. Dr. Yang started his healthcare system engineering journey in 2008 in a joint project with John D Dingell Detroit VA Medical Center. In 2009, Dr Yang was actively involved in drafting the winning proposal for the establishment of VA-CASE (Veteran Administration’s Center of Applied Systems Engineering), which is one of the four national veteran engineering resource centers aimed to promote system engineering methodologies in healthcare industry. Since then, Dr Yang is a leading university faculty partner in VA CASE and lead the works for many national projects sponsored by VA. Dr Yang’s areas of expertise include , healthcare system engineering , Six Sigma, statistical methods in quality and reliability engineering, lean product development, and engineering design methodologies. He is a world well known expert in the area of Six Sigma, Design for Six Sigma and quality for service and an author of Seven books in the areas of Design for Six Sigma, Six Sigma and, multivariate statistical methods. Prof. Yang’s book, Design for Six Sigma: A Roadmap for Product Development is an influential book that provides a framework to integrate both innovation methods, and traditional statistical quality assurance methods into the product development process. Dr Yang also published over 93 research papers. He has been awarded over 60 research contracts from such institutions as US National Science Foundation, US Department of Veteran Affairs , Siemens Energy Inc, General Motors Corporation, Ford Motor Company, Chrysler Corporation. Dr. Yang obtained both his MS and PhD degrees from the University of Michigan. Dr Yang is also a well known speaker/trainer and consultant in the area of Lean Six Sigma, DFSS, and other areas. He conducted numerous trainings for many companies, such as Apple Inc and Siemens. During 2006 to 2007, Dr Yang conducted 9 training sessions in Siemens Energy Inc in USA and Germany, and involved in 4 sponsored projects funded by Siemens during 2007 to present. The most noticeable one is related to implementing lean and integrated product development process in Siemens gas turbine engineering, in this project, drastic reductions in product development lead time are achieved for many important technological platforms. Dr Yang conducted 3 training sessions for Apple Inc during 2009, totally with more than 100 quality managers, and quality engineers, on the topics of quality method, and design of experiments. These 3 trainings helped to popularize design of experiment methods in regular quality improvement practices within Apple Inc.

Mohammad Hessam Olya, received his B.S. and M.S. degrees in Industrial Engineering from Mazandaran University of Science and Technology in 2010 and 2012, respectively. He joined Industrial and Systems Engineering Department at Wayne State University as a graduate research assistant and started his Ph.D. in Industrial and Systems Engineering in 2014. In addition he has been working as a graduate teaching assistant of multiple courses such as Probability and Statistics in Engineering, Value Engineering and Operations research. His research interests include data analytics and application of stochastic optimization modeling, simulation techniques, data mining and machine learning in the fields of healthcare, supply chain management, logistics and transportation.

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Hossein joined the Ph.D. in Industrial Engineering program in 2014. Prior to attending WSU, Hossein studied in Iran where he received a Master’s degree in Industrial Engineering from Shahed University, and a Bachelor’s degree in Industrial Engineering from Sharif University of Technology. Hossein has several publications in the field of Supply Chain Management and Operations Research. His current academic interests include Design of Parallel Approximation Algorithms and Data Analytics in Healthcare.

Ali received his undergraduate degree in Mechanical Engineering from Shahid Rajaee University. He pursued his Master's degrees in the Industrial and System’s engineering and Computer Science at Wayne State University in Detroit, Michigan. Ali is focusing on data analysis and machine learning where his research mainly includes analytical aspects of energy usage. He joined Wayne state university's Industrial Engineering PhD program in Data Analytic at 2014 and He is interested in energy consumption analysis, electrical vehicle energy consumption, smart meter analysis, water treatment energy consumption and healthcare engineering.

Milad is a Ph.D student of Industrial and Systems Engineering at Wayne State University in Detroit, Michigan from 2014. Having a bachelors' degree in Industrial Engineering from Sharif University of Technology, Iran. He got his Master in the same major at AmirKabir University of Technology. His major research interests include Data Analytics, Machine Learning and Operation Management.

Mohammad received his undergraduate degree in Industrial Engineering from K.N.Toosi University of Technology, Iran, Tehran. Then he entered Industrial Engineering master program at University of Tehran. His master thesis was modeling and optimization of man-machine systems reliability using multi objective stochastic optimization. Currently, he is pursuing a PhD in Industrial at Wayne State University. He has published in well-known and peer-reviewed journals such as International Journal of Electrical Power & Energy Systems and Expert Systems with Applications. Also he is a referee for different well-known journals. His research interests mainly includes healthcare operations management, medical decision making, optimization, and data analytics.

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Education:
B.S, Electronic Engineering, Chongqing University, China (2003)
M.S, Software Engineering, Southeast University, China (2006)
Athlone Institute of Technology, Ireland (2006)
Ph.D., Industrial Engineering, Wayne State University (2012)
Dissertation:
RFID-Based Business Process and Workflow Management in Healthcare: Design and Implementation
Research/project:
RFID-based Healthcare Workflow Management
Description of Work:
Xiaoyu Ma is VA-CASE Industrial Engineer and a post-doc research associate. Her main interests include operational decision support for real-time healthcare business process and workflow management and RFID-based visualization management system. Her Ph.D. research focuses on the design and implementation of RFID-based business process and workflow management in healthcare. First, this research proposes a road map to implement RFID in hospitals with performance matrixes for technology evaluation, key criteria for resolution level setting, and business rules for information extraction. Second, in order to reduce healthcare associated infections caused by unclean RMEs, RFID-based business process management (BPM) concepts and workflow technologies are used to transform the reprocessing procedures in a Sterile Processing Department (SPD). In the proposed pattern for healthcare business process management, the importance of execution status control is firstly emphasized as a key to handle complex and dynamic healthcare processes. A five-level framework for service-oriented business process management is designed for SPDs to share information, integrate distributed systems, and manage heterogeneous resources among multiple stakeholders. This research proposes a healthcare workflow system as a deliverable solution to manage the execution phase of reprocessing procedures, which supports the design, execution, monitoring, and automation of services supplied in SPDs. RFID techniques are adopted to collect relative real-time data for SPD performance management. Finally, by identifying key architectural requirements, the subsystems of a service-oriented architecture for the SPD workflow prototyping system, SPDFLOW, are discussed in detail. This research is the first effort in exploring healthcare workflow technologies in the SPD domain to improve the quality of RMEs and ensure patient safety. Dr. Ma is a member of IIE, INFORMS and IEEE, and a guest member of the Scientific Workflow Research Laboratory (SWR Lab), one of the top five leading scientific workflow research groups in North America. She has published several refereed papers for designing RFID-based business process and workflow management. Her paper ‘RTLS-based ubiquitous healthcare system design and implementation’ was published as WHITE PAPER in ‘RFID Journal’, the world's leading source of RFID news and insights(August 2010,). She was invited as a speaker for two presentations about a roadmap to adopt RTLS in hospitals and ubiquitous control for emergent room flows in VERC Symposium, 2011. She proposed Service-Oriented Architecture for SPDFLOW: A Healthcare Workflow System for Sterile Processing Departments, which was published as a paper and presented in IEEE Service Computing Conference (IEEE SCC 2012) with 17% acceptance rate. Another papers ‘RFID-based healthcare workflow management system in sterile processing department’ was presented in Industrial and Systems Engineering Research Conference (ISERC 2012), the premier event for the world’s leading industrial and system engineers.

Healthcare System Engineering Group

Group Members