Dr. Sıla Çetinkaya to present Seminar

Dr. Sıla Çetinkaya from Southern Methodist University will present at the Seminar Monday November 27 at 1:15pm in Room 114 of the W. A. Baker Chemistry Research Building (CRB).  Dr. Çetinkaya’s presentation title, abstract, and biographical sketch are below.

Title:  On the Integration of Inbound Replenishment and Outbound Transportation Decisions: Premises, Models, and Dynamic Optimization



Author: Sıla Çetinkaya

Location: W. A. Baker Chemistry Research Building (CRB) Room 114

Date: Monday, November 27

Time: 1:15pm – 2:15pm

Abstract:   We consider a joint stock replenishment and shipment scheduling problem applicable under a vendor-managed inventory (VMI) contract where the vendor has flexibility over the timing and quantity of resupply at a group of retailers located in a given geographical region. The retailers face stochastic demands. Under the VMI contract of interest, employing a temporal shipment consolidation strategy allows the vendor to hold smaller orders from the retailers and to release them in a combined shipment to realize transportation scale economies. Although the general class of problems of interest has been investigated using renewal theory in the previous literature, computation of exact optimal policies has remained an open problem for over fifteen years. We formulate the problem via a stochastic dynamic programming approach. We examine the optimal joint policy specifying the vendor’s inbound replenishment and outbound dispatch quantities in successive periods so that transportation economies of scale due to shipment consolidation are realized without excessive inventory holding and/or order delay. We characterize the structure of the optimal policy as a zoned, state-dependent threshold policy that falls in a new class of policies in stochastic inventory control theory. The results extend the existing theory and concepts of generalized convexity while also generalizing Scarf’s seminal work on the notion of K-convexity and optimality of (s,S) policies.

Biographical Sketch: Sila Çetinkaya is Chair and Professor of EMIS in the SMU Lyle School of Engineering. She holds courtesy appointments with ITOM in the SMU Cox School of Business and with Internal Medicine in the UT Southwestern Medical Center. She also serves as Senior Fellow in the SMU Hunt Institute for Engineering and Humanity. She joined SMU in 2014 from TAMU—after 17 years of service—where she was Professor of Industrial and Systems Engineering. She obtained her Ph.D. in Management Science and Systems in 1996 from McMaster University in Canada. She received an MS in Industrial Engineering in 1991 from Bilkent University and a B.S. in Industrial Engineering in 1989 from Istanbul Technical University in Turkey. Dr. Çetinkaya’s research interests include supply chain and healthcare operations, stochastic optimal control theory, and applied probability. Her publications appeared in reputable outlets of industrial engineering and management science including Operations Research, Management Science, Interfaces, Production and Operations Management, IISE Transactions, and Naval Research Logistics, among others. Her research and teaching activities have been funded by multiple government and industry grants. Her early career accomplishments were recognized by NSF CAREER Award in 2001 and IISE Outstanding Young Industrial Engineer Award in 2003. Çetinkaya was named IISE Fellow in 2012 for professional leadership and outstanding contributions to industrial engineering. She is a department editor of IISE Transactions and an associate editor of Naval Research Logistics.


Gloria Bender to present Seminar

Gloria Bender will present at the Seminar Monday November 13 at 1:15pm in Room 114 of the W. A. Baker Chemistry Research Building (CRB). Ms. Bender’s presentation title, abstract, and biographical sketch are below.

Title: Decision Support in the Real World:  QED Never Is! Bender headshot_2016
Author: Gloria Bender
Location: W. A. Baker Chemistry Research Building (CRB) Room 114
Date: Monday, November 13
Time: 1:15pm – 2:15pm

Abstract:  Advanced analytics, stochastic modeling, operations research tools are all very powerful and can provide elegant solutions to complex problems.  However, many of the problems working IEs face involve getting good data for use in our models to  produce elegant solutions. And, once we have our elegant solution, how do we promote the value to skeptical decision makers. Ms. Bender will discuss some of these challenges and how her consulting company addresses them.  She will look forward to an open discussion of potential ways IE’s can leverage new technologies to address these practical problems.

Biographical Sketch: Ms. Bender is an industrial engineer with over 30 years of experience in operations and facility capacity analyses, conceptual design, and expansion planning. She is co-founder and co-owner of TransSolutions, a 25-person transportation and aviation consulting firm based in Fort Worth, with offices in Washington DC and Atlanta. She is responsible for establishment of TransSolutions’ landside planning consulting practice, including development of processes, protocols and systems to serve passengers, their ground transportation vehicles, and their luggage in their journey through airports.  She championed development of the Operational Excellence Consulting practice in 2009, using TransSolutions’ strong advanced analytics and modeling capabilities coupled with the principals of Lean to improve the effectiveness of various enterprises worldwide. Ms. Bender currently serves most projects as the Principal-in-charge (PIC), responsible for overall project quality and client satisfaction, and she occasionally serves projects as the working project manager. In addition to her work at hundreds of airports worldwide, her projects also include supporting the redevelopment of the New York World Trade Center, estimating viewership for CNN Airport Network, and recommending enhancements to the computerized maintenance management system used by the US Navy. Ms. Bender actively supports the Airport Cooperative Research Program (ACRP), a program funded through the FAA and administered by the Transportation Research Board.  She has served as a research panel chair, a research contributor on four projects, and was the Principal Investigator for Report 55: Passenger Level of Service and Spatial Planning for Airport Terminals.  In January 2016, Ms. Bender was appointed by the Secretary of the Department of Transportation to serve on the ACRP Oversight Committee. Ms. Bender holds both an M.S. and B.S. in Industrial Engineering from the University of Texas at Arlington. She is a Fellow in the Institute of Industrial and Systems Engineers, a Member of the Council of Industrial and Systems Engineers, former Chair of the Airports Council International – North American World Business Partners Board and lectures at the UC Berkeley Airport Planning Conference. Since 2013, Ms. Bender has also been a member of the Transportation Security Administration Planning Guidelines and Planning Standards (PGDS) Industry Working Group (IWG).

Jay Correa “Safety J” to present Seminar

Jay Correa will present at the Seminar Wednesday October 30 at 1:15pm in Room 114 of the W. A. Baker Chemistry Research Building (CRB).  Mr. Correa’s presentation title, abstract, and biographical sketch are below.

Safety J profile pic


Title: Safety – Engineering Solutions Beyond Compliance
Author: Jay Correa
Location: W. A. Baker Chemistry Research Building (CRB) Room 114
Date: Monday, October 30
Time: 1:15pm – 2:15pm

Abstract: OSHA and other regulatory agencies lay out the requirements or guidelines that employers in different industries should follow to meet the minimum requirements for compliance.  Being in compliance with regulatory requirements not only helps an employer to avoid citations but should also, theoretically, facilitate the employer’s ability to provide a safe work place for employees.  Many individuals and companies encounter difficulties meeting compliance as a result of regulations stating “what” is necessary to comply but not “how”.  As a result, an employer may meet regulatory requirements but not create a safe working environment or process. The engineering design process is a methodical and systematic approach to solving challenging problems or issues in manufacturing, construction and other industries.  Taking an engineering approach to Safety can help individuals overcome the challenge of not only meeting regulatory requirements but create a safe work environment that exceeds compliance.  The presentation will illustrate the problem solving approach that was used to solve an issue encountered in one aspect of a facility’s Emergency Action Plan.

Biographical Sketch: Jay Correa, “Safety J”,  was born in Big Spring, Texas, where he enjoyed the first six years of his life as an only child.  He grew up to be a voracious reader and eventually, as his siblings would tell of it- an overwhelmingly loving and protective brother, uncle, father to his son and partner to his girlfriend.  Jay enjoyed several years at Texas Tech University pursuing his passions in Spanish poetry and Industrial Engineering. Since leaving Texas Tech he has worked for companies in manufacturing, pharmaceutical and oil/gas industries and provided consulting or bilingual training services to small and medium sized companies. His goal, for more than 12 years now, has been to help develop the safest and most safety-conscientious people possible.  Somewhere along the way, people nicknamed him “Safety J”, their safety superhero – a nickname he strives to be deserving of everyday.


Dr. Irina Dolinskaya to present Seminar

Dr. Irina Dolinskaya from the National Science Foundation will present at the Seminar Wednesday September 27 at 1:15pm in Room 101 of College Hall (CH).  Dr. Dolinskaya’s presentation title, abstract, and biographical sketch are below.

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Title: Navigating NSF:  Funding Opportunities, Proposal Preparation, and the Merit Review Process


Author: Dr. Irina Dolinskaya

Location: College Hall (CH) Room 101

Date: Wednesday, September 27

Time: 1:15pm – 2:15pm

Abstract: The first part of this talk will give an overview of Dr. Dolinskaya’s research on adaptive modeling and solution approaches with applications to humanitarian logistics, optimal vessel navigation and electric vehicle routing. The second part of the presentation will focus on the funding opportunities offered by the Division of Civil, Mechanical & Manufacturing Innovation within the disciplinary programs and through crosscutting initiatives across the National Science Foundation. This presentation will describe opportunities that are relevant to the operation research, industrial engineering, and dynamics and controls communities. Operation Engineering (OE) and Dynamics, Controls and Systems Diagnostics (DCSD) programs, as well as programs targeted toward junior investigators will be discussed. The talk will also describe guidelines for proposal preparation and NSF’s Intellectual Merit and Broader Impacts criteria.

Bio: Dr. Irina Dolinskaya is an associate program director at the National Science Foundation (NSF) in the Division of Civil, Mechanical & Manufacturing Innovation (CMMI). Dr. Dolinskaya services Operation Engineering (OE) and Dynamics, Control and Systems Diagnostics (DCSD) programs. Prior to joining NSF, Irina Dolinskaya was a faculty in the Industrial Engineering and Management Sciences department at Northwestern University. She obtained M.S. and Ph.D. degrees in Industrial and Operations Engineering from the University of Michigan, and B.S. degree in Industrial Engineering from the University of Florida.

Dr. Irina Dolinskaya’s research is in the field of transportation science and logistics with focus on adaptive modeling and solution approaches to integrate dynamic real-time information. Her current primary applications are in humanitarian logistics, optimal vessel performance, and    electric vehicle routing.

Professor Dolinskaya is the winner of the INFORMS Transportation Science & Logistics Society Dissertation Prize and the 2008 recipient of the Bonder Scholarship for Applied Operations Research in Military Applications. She has also been recognized for her teaching with IEMS Graduate Teaching Award (2011) and Northwestern Associated Student Government Faculty Honor Roll (2012), as well as for her advising with Cole-Higgins Award for Excellence in Advising (2014).

Dr. Dongqing Wang to present Seminar

Dr. Dongqing Wang from Qingdao University in Qingdao, China will present at the first Seminar of the semester Wednesday September 6 at 2:00pm in Room 114 for the W. A. Baker Chemistry Research Building (CRB). Dr. Wang’s presentation title, abstract, and biographical sketch are below.

Title: Block-oriented Nonlinear System Identification—-Standard Least Square Methods and Least Square Methods for a Block-Oriented System
Author: Dr. Dongqing Wang
Picture2011-DQ WangLocation: W. A. Baker Chemistry Research Building (CRB) Room 114
Date: Wednesday, September 6
Time: 2:00pm – 3:00pm

Abstract: System parameter identification has been a significant research topic due to its wide application in fault diagnosis, signal processing, process control and economic fields. In this presentation, the standard least squares (LS) method is first introduced. Secondly, least squares methods for block-oriented systems is introduced, including the over-parametrization based least squares (OP-LS) method, the hierarchical least squares (H-LS) method and the key term separation principle based least squares (KT-LS) method. The mentioned methods are applied to Hammerstein systems, Wiener systems, and Hammerstein-Wiener systems. Finally, the future research proposal is given related to the compressive sensing based identification methods. The main contributions are the proposed framework of the hierarchical least squares based identification method for block-oriented systems by using the hierarchical identification principle, and the presented auxiliary model based key term separation principle based least squares for block-oriented systems.

Biographical Sketch: Dr. Dongqing Wang was born in Shenyang, Liaoning Province, China. She received B.S. and M.S. degrees from the Department of Electrical Engineering, Shandong University (Jinan, China) in 1986 and 1988, respectively. She joined the College of Automation Engineering, Qingdao University (Qingdao, China) as a faculty member since 1988. During work with Qingdao University, she received her Ph.D. degree from the School of Electrical Engineering and Automation, Tianjin University (Tianjin, China) in 2006. She was a Visiting Scholar in the Department of Electrical and Computer Engineering at the University of Tennessee (Knoxville, USA) from August 2004 to February 2005. Since December 2010, she has been a Full Professor in the College of Automation Engineering at Qingdao University, Qingdao, China. Her current research interests include process modeling and control, system identification, parameter estimation, Robot Path Planning, and Wireless Power Transfer. She has published over 50 papers on modeling and identification as the first author. She has won 5 research awards from the Chinese government and best paper award from the European Association for Signal Processing as the first author, she received more than ten funded projects from the NSF of China government and industrial field as a PI. She is a Recipient of Special government allowances of the State Council. She was ranked as the 2nd tier professor by the Ministry of Education in P.R China.

Dr. Chanhaeng Rhee to present Seminar

Dr. Chanhaeng Rhee from the University of Texas Southwestern Medical Center in Dallas will present at the Seminar Monday April 24 at 1:15pm in Nedderman Hall 106. Dr. Rhee’s presentation title, abstract, and biographical sketch are below. 

Title: Improving Health Outcomes through Systems Engineering

Author: Dr. Chanhaeng Rhee

Location: Nedderman Hall Room 106
Date: Monday, April 24
Time: 1:15pm – 2:15pm

Abstract: In 2000 and 2001, the Institute of Medicine (IOM) issued two reports, “To Err Is Human” and “Crossing the Quality Chasm”. The first report estimated systems failures in healthcare delivery were responsible for at least 98,000 deaths each year. The second report revealed a wide “chasm” between the quality of care the health system should be capable of delivering today. In 2005, National Academy of Engineering and Institute of Medicine issued a report “Building a Better Delivery System: a New Engineering/Health Care Partnership”. This report was to provide a framework and action for a systems approach to healthcare delivery based on a partnership between engineers and health care professionals. I would like to demonstrate 2 cases of use of systems engineering tools to improve patient cares in the hospital (“Viewing Prevention of Catheter-Associated Urinary Tract Infection as a System: Using Systems Engineering and Human Factors Engineering in a Quality Improvement Project in an Academic Medical Center”) and outpatient setting (“Sustainable Self-Management & Elevating Wellness for Persons with Diabetes through Optimizing the Chronic Care Model”).

Biographical Sketch: Dr. Chanhaeng Rhee is an Endocrinology Specialist in Dallas, Texas. He graduated from Boston University with a BS in chemistry in 1992, from Kyungpook National University College of Medicine with an MD in 2000 and from UT Dallas with an MBA in 2012. He completed his residency at St. Elizabeth Health Center in 2004 in internal medicine and a fellowship at the University of Texas Southwestern Medical Center in 2007 in endocrinology and metabolism. Dr. Rhee is a Medical Director for Diabetes Management Program at UT Southwestern Medical Center and a Quality Officer at UT Southwestern Medical Center. Dr. Rhee affiliates with many hospitals including  William P. Clements Jr. University Hospital, Zale Lipshy University Hospital,  Parkland Health and Hospital System, and cooperates with other doctors and specialists in the medical group at UT Southwestern Medical Center in Dallas. He is a member of the American Diabetes Association, the Endocrine Society, the American Association of Clinical Endocrinologists, the Texas Medical Association, and the Dallas County Medical Society.

Speaker Seminar -This Thursday

Chen Kan from the Department of Industrial and Manufacturing Systems Engineering at Pennsylvania State University will present a Seminar this Thursday, April 7, at 1:30pm in the Rady Room, Nedderman Hall (NH) 601.  Mr. Kan’s presentation title, abstract, and biographical sketch are below.


All students and faculty are encouraged to attend. Because this is a Thursday seminar, there will be no attendance sheet for GTAs and on-campus GRAs. However, there will be a student meeting on Friday at which attendance will be recorded. More on the student meeting is forthcoming.

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Author: Chen Kan

Title: Dynamic Network Modeling and Analysis of Large-scale Internet of Things with Manufacturing and Healthcare Applications

Location: Rady Room, NH 601

Date: Thursday, April 6

Time: 1:30pm – 2:50pm


Abstract: Rapid advancement of sensing technology brings the proliferation of high-dimensional data with complex structures. Realizing full potentials of sensing data depends on the development of new sensor-based methods and tools for process monitoring and control, as well as data-driven system optimization. However, the complexity of sensing data poses significant challenges: 1) Distributed sensing leads to multi-channel signals, which show high levels of nonlinear and nonstationary behaviors in the presence of extraneous noises. 2) Advanced imaging technology leads to 2-D, 3-D or higher dimensional functional images (i.e., dynamic and time-varying), which contain rich information about the underlying processes. 3) Internet of Things connects large amounts of machines in digital manufacturing, as well as human subjects in smart and connected health. This gives rise to big and networked data that call for next-generation methodologies for system informatics and control. The goal of my research is to develop innovative sensor-based methodologies for modeling, monitoring and optimization of large-scale complex systems. Specifically, my research focuses on the development of nonlinear and stochastic network models for process monitoring and control. This research will enable and assist in 1) the handling of massive, complex data generated from advanced sensing systems in manufacturing and healthcare settings; 2) the extraction of pertinent information about system dynamics; and 3) the exploitation of acquired knowledge for decision making and performance optimization.


Biographical Sketch: Chen Kan is currently a Ph.D. candidate in the Department of Industrial and Manufacturing Engineering, the Pennsylvania State University. His research focuses on wireless sensing systems and network theory for large-scale IOT-based monitoring, modeling and control of complex systems, with applications for advanced manufacturing and smart health. He was the Entrepreneurial Lead of NSF I-Corps Team of the Mobile E-network Smart Health (MESH) project in 2014. He has published multiple papers in top journals, including Journal of Manufacturing Systems, Quality and Reliability Engineering International, Computers in Biology and Medicine, IEEE Journal of Biomedical and Health Informatics, and IEEE Transactions on Automation Science and Engineering.