Informs 2015

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INFORMS Philadelphia – 2015
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5 - The Advent of the Intelligent Electronic Health Record
John Glaser, Siemens Healthcare, Malvern, PA,
United States of America,
We’ve made great progress in embedding the Electronic Health Record (EHR) in
our healthcare processes, with use reaching unprecedented rates. Now, we’re
poised to take it the next level with the intelligent EHR. The intelligent EHR will
look very similar to the traditional system – one can still look up patient results
and history and write prescriptions but the application will move past
transactional functions. The intelligent EHR will be characterized by sophisticated
and flexible decision support, rules engines, process monitoring engines,
intelligent displays of important patient data, access to knowledge resources, the
ability to collect data from multiple care settings through a health information
exchange, and tools that enable provider collaboration. The advent of the
intelligent EHR will be necessary if healthcare is to effectively address challenges
such as those generated by payment reform and managing the care of chronically
ill populations.
TB38
38-Room 415, Marriott
Queueing Models I
Contributed Session
Chair: Kaan Kuzu, Assistant Professor, University of Wisconsin-
Milwaukee, Lubar School of Business, 3202 N. Maryland Ave.,
Milwaukee, WI, 53221, United States of America,
1 - Optimum Staffing of an Outbound Call Center
Doron Feuer, California Polytechnic State University, Pomona,
6493 Joshua St., Oak Park, CA, 91377, United States of America,
, Saar Yaffe, Saeideh Fallah-Fini
This paper couples regression analysis, Markov chain, and queuing theory
techniques and develops a reliable model for optimum staffing of an outbound
call center constrained by irregular inbound lead volume. By tracking trends of
incoming dials throughout the call center our algorithm predicts the optimum
level of staff required to ensure dialing requirements while minimizing wasted
agent time.
2 - Optimal Control of a Queue under Oveflow Probability Constraint
Abdolghani Ebrahimi, Research Assistant, Iowa State University,
225 Washington Ave, Unit 2, Ames, IA, 50010, United States of
America, , Arka Ghosh
We develop an optimal policy that minimizes the long-run average cost in a
queue system when you have an overflow probability constraint. The queue has a
limited buffer size. As our constraint we define long-run average time that the
buffer is full less than a number. Our objective is to find the optimal policy. We
solve the problem for two cases; one with bounded space and the other with
unbounded space.
3 - Analysis of Priority-Based Ticket Queue Data
Kaan Kuzu, Assistant Professor, University of Wisconsin-
Milwaukee, Lubar School of Business, 3202 N. Maryland Ave.,
Milwaukee, WI, 53221, United States of America,
Refik Soyer
We analyze the transactional data from a bank’s priority-based ticket queue
system and estimate the distributions of inter-arrival and service times based on
customer category, day of the week and time intervals in a day. We also predict
the customers’ patience times for each customer category and day of the week,
and develop the corresponding abandonment probabilities using logistic
regression models.
TB39
39-Room 100, CC
Risks Management in Operations/Marketing
Cluster: Operations/Marketing Interface
Invited Session
Chair: Osman Aydas, Instructor & PhD Candidate, University of
Wisconsin-Milwaukee, 3202 N Maryland Ave., Milwaukee WI 53211,
United States of America,
1 - Global Supply Chain Social Responsibility: An Agency
Theory Perspective
Xingxing Zu, Morgan State University, 1700 E Cold Spring Lane,
Department of Information Science & Syst, Baltimore, MD,
United States of America, ,
Ziping Wang, Yu Xia
This study examines global supply chain social responsibility from a dyad
perspective based on agency theory. We analyze how the characteristics of buyer-
supplier relationship affect the effectiveness of two different management
approaches – outcome-based management versus behavior-based management.
The relationship characteristics include the length of the relationship, goal conflict
between the buyer and the supplier, and the risk aversion of the two parties.
2 - Nurse Allocation Policy Evaluation and Analysis of Admissions in
an Intensive Care Unit
Osman Aydas, Instructor & PhD Candidate, University of
Wisconsin-Milwaukee, 3202 N Maryland Ave., Milwaukee, WI,
53211, United States of America, Kaan Kuzu,
Anthony Ross
Nurse staffing is a crucial step in providing quality healthcare. Many patient care
units, including Intensive Care Units, have problems in accurately estimating the
number of nurses to use on a daily basis. We evaluate the existing staff allocation
system of an intensive care unit using clinical operational data and develop a
prediction model for estimating the number of admissions to the unit.
3 - Coordinating Contracts for an Express Service Supply Chain
Juzhi Zhang, University of Science & Technology of China, No.96,
JinZhai Road Baohe District, Hefei, 230026, China,
Gou Qinglong, Xiaohang Yue
This paper studies the mismatch problem of an express service supply chain, in
which the express company delivers the product from online retailer to
consumers. We show that displaying information on delivery capacity can
decrease consumers’ belief on delay risk and increase the centralized supply
chain’s profit, but it may not be feasible because consumers may not believe it.
We then design some contracts to make the supply chain achieve the profit under
information display.
4 - Appraisal Viewpoint Disseminate and Evolution Analysis
Online Transaction
Xiening Wang, Associate Professor, DongBei University of Finance
and Economics,China, No 217, JianShan Street, Shahekou Distri,
Dalian, LN, 116025, China,
Through feature analysis and algorithm analysis, this paper researchs the
disseminate and evolution of online transaction appraisal view during
consumption. The conversion rules of consumer view tendency is proposed, by
describing the viewpoint tendency of network users and combining the clustering
properties of the network transactions appraisal viewpoint. It analyzes the e-
commerce transactions appraisal of the cellular migration model based on small
world network effects.
TB40
40- Room 101, CC
Operations/Sustainability
Contributed Session
Chair: Xin Wang, Carnegie Mellon University, 5000 Forbes Ave,
Pittsburgh, PA, 15213, United States of America,
1 - Analysis on the Link Between Corporate Social and Financial
Performance of Korean Business Groups
Donghyup Woo, Doctoral Candidate, State University of New
York at Buffalo, 326 Jacobs Management Center, University at
Buffalo SUNY, Buffalo, NY, 14260, United States of America,
, Nallan Suresh
This research identifies contextual relationships between social responsibility and
financial performance in countries transitioning to developed economies. Using
Korean data, it explores how business group affiliation “Chaebol” influences
strategy and social responsiveness. We test the hypothesis that “Chaebol firms”
show strong positive relationship due to institutional pressure and legitimacy
issues.
2 - Do Sustainability Practices Really Help?
Hung-yao Liu, ESC Rennes School of Business, 2 Rue Robert
d’Arbrissel CS 76522, Rennes, France,
Rohit Nishant
We utilize an extensive dataset on the resource consumption of different firms to
investigate the effectiveness of various sustainability practices (i.e., pollution
prevention, product stewardship, clean technology, and sustainability vision) as
conceptualized in Hart’s “sustainability portfolio”, embedded in the Natural
Resource Based View (NRBV). We seek to understand which sustainability
practices help firms achieve resource efficiency.
TB40