2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
504
WE65
Mockingbird 1- Omni
Advanced Monitoring Techniques for Complex Data
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Mohammed Saeed Shafae, Virginia Polytechnic Institute and
State University, TBD, Blacksburg, VA, 00000, United States,
Co-Chair: Lee Wells, Western Michigan University, 1903 W Michigan
Ave, Kalamazoo, MI, 49008, United States,
1 - Statistical Process Monitoring Of Multimode Shape Profiles
Kai Wang, Hong Kong University of Science and Technology,
Traditional shape profile monitoring focuses on one mode of shapes. Little
attention has been paid to multimode shape profiles, where different types of
shapes appear in a sample of objects. In this work, we exploit the process
monitoring of multimode shape profiles. First, we develop a two-step feature
extraction approach, where different shape modes can be separated into several
clusters. This enables us to build a finite Gaussian mixture model for the extracted
features. In Phase II, a control chart is built for detecting shifts in the proportions
and shape features of multimode shape profiles. Numerical simulations and a real
example demonstrate the effectiveness of our proposed framework.
2 - A Bayesian Self-starting Control Chart For Count Data
Baosheng He, University of Iowa, Iowa City, IA, United States,
, Yong Chen
In this work we propose a Bayesian framework to detect a random but sustained
shift in count data, including Poisson and Binomial data. The in-control and out-
of-control states are both unknown and modeled by corresponding priors, and so
as the shift probability, if necessary. The decision is based on the posterior
probability that the shift occurs at each time. The monitoring performance is
evaluated by the average run lengths. The effectiveness of the method is
demonstrated via simulation and real data.
3 - Functional Regression Based Monitoring Of Service Systems
Devashish Das, Mayo Clinic, 2015, 41st Street NW, F47, Rochester,
MN, 55901, United States, ,
Kalyan Pasupathy, Curtis B. Storlie, Mustafa Y Sir
In this research, we focus on building a statistical monitoring method for service
systems that experience time varying arrival rates. The goal of the proposed
method is to build a functional regression model based on customer arrival and
departure time data collected from an in-control system. It is then used to find
discrepancy between expected departure rates and observed departure rates.
Deviations from expected departures greater than a threshold are used to signal a
deterioration ins quality of service.
WE66
Mockingbird 2- Omni
Service Robotization: Building a Collaborative
research Agenda for Interactive Service Robots
Sponsored: Service Science
Sponsored Session
Chair: Thorsten Gruber, Loughborough University, Centre for Service
Management, Sir Richard Morris Building, Loughborough, LE11 3TU,
United Kingdom,
Co-Chair: Willy Barnett, The University of Manchester, Manchester
Business School, Manchester, M13 9QS, United Kingdom,
1 - Human-robot Interaction For Real-world Situations
Julie Adams, Professor/Computer Science & Computer
Engineering, Vanderbilt University, Nashville, TN, 37212,
United States,
Robots (generally any semi-autonomous vehicle) are increasingly being used by
individuals in their daily activities, be such activities personal or professional.
However, robots have traditionally been used by highly trained personnel in
highly controlled environments and settings. Real-world environments tend to be
highly dynamic with large amounts of uncertainty. Further, the human may not
have extensive training and cannot be a dedicated robot controller or supervisor,
but must also be responsible for other activities and actions in said environment.
Thus, traditional interaction mechanisms are difficult to use and place too many
demands on the humans. The question is how can the human-robot interaction
become more natural for the human in order to support the collective goals? The
answer is multi-dimensional. From one perspective, the human needs to easily
interact with the robot and be able to develop a reliable understanding of the
robot’s expected actions. Further, the robots need to easily perceive the human’s
state, predict what the human will do, and develop a plan to maximize the
likelihood of achieving the goal, while minimizing the demands placed on the
human. These and related questions are still open research questions within
human-robot interaction.
2 - Developing an Innovative Research Methods Toolkit To Explore
User Perceptions Of HRI: Part 1- The Laddering +ZMET Method
Thorsten Gruber, Loughborough University, Sir Richard Morris
Building, Loughborough, United Kingdom, ,
Kathy Keeling
User acceptance is a critical issue in the domain of Human-Robot Interaction
(HRI). Many studies address user acceptance through methods such as needs
analysis, which allow users to interact with robots and identify the pros/cons of
use. Such methods are effective in uncovering superficial needs but fail to obtain
deeper meanings of use. We argue that HRI could benefit from innovative
research designs that help researchers obtain a deeper understanding of what
users value in HRI. We present a toolkit consisting of three well-established
methods adapted to HRI and present research examples.
3 - Developing an Innovative Research Methods Toolkit To Explore
User Perceptions Of HRI: Part 2 – The Netnography Method
Kathy Keeling, University of Manchester, Booth Street West,
Manchester, United Kingdom,
User acceptance is a critical issue in the domain of Human-Robot Interaction
(HRI). Many studies address user acceptance through methods such as needs
analysis, which allow users to interact with robots and identify the pros/cons of
use. Such methods are effective in uncovering superficial needs but fail to obtain
deeper meanings of use. We argue that HRI could benefit from innovative
research designs that help researchers obtain a deeper understanding of what
users value in HRI. As a follow-up to the first section on Innovative Research
Methods, this section will introduce the method known as Netnography. The
presentation concludes with some examples previous studies.
4 - Older Consumers Value Perceptions Of Service Robots: Exploring
The Intersection Of Marketing, Robotics, And Design
Willy Barnett, The University of Manchester, Manchester Business
School, Manchester, M13 9QS, United Kingdom,
This study explores the relationship between two major phenomena facing
developed worlds today: robotics and global aging. It attempts to examine
human-robot interaction through a marketing lens by exploring the nature of
robot value perceptions, their relationship to robot design and user acceptance. To
address this goal, a multi-method, qualitative study of a service-dominant
network consisting of older adults and their care providers is conducted. Results
show that robot acceptance can be better understood and communicated in terms
of high level user values associated with robot use.
WE67
Mockingbird 3- Omni
High Dimensional Statistical Process Monitoring and
Diagnosis
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Yan Jin, University of Washington, Seattle, WA, United States,
Co-Chair: Shuai Huang, University of Washington,
1 - Parametric Uncertainty Propagation In Potassium Channel Model
Of Mouse Ventricular Myocytes
Dongping Du, Texas Tech University,
Cardiac potassium (K+) channel plays an important role in cardiac electrical
signaling. Mathematical models have been widely used for investigating the
effects of K+ channels on cardiac functions. However, K+ channel models involve
parametric uncertainties. It is critical to assess the parameter uncertainties to
provide more reliable predictions. In this study, a generalized polynomial chaos
expansion is used to propagate the uncertainties onto the modeled predictions of
steady state activation and steady state inactivation of the K+ channel. As
compared with the Monte Carlo simulations, the proposed method shows
superior performance in terms of computational efficiency and accuracy.
WE65