Informs 2015

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INFORMS Philadelphia – 2015
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34 - The Effect of High Socioeconomic Inequalities on Public
Education Efficiency
Maria Cristina Gramani, Insper - Business Department,
Rua Quatá, 300, Vila Olímpia, São Paulo, SP, 04546042, Brazil,
A model is proposed to capture the full picture of educational efficiency in an
emerging country. Because of regional discrepancies, the model uses variables
related to education and to socioeconomic inequalities. The empirical results are
based on data from 5,129 Brazilian municipalities and the correlation factor
between the HDI-M and the educational efficiency score indicates that the HDI-M
index could not capture the discrepancies of a country with high levels of
socioeconomic inequality.
35 - Improving Scheduling and Control of the OHTC Controller in
Wafer Fab AMHS Systems
Shreya Gupta, Ms/phd Student And Graduate Research
Assisstant, University of Texas at Austin, Austin, TX, 78751,
United States of America, ,
John Hasenbein
Automated Material Handling Systems (AMHS) in wafer fabs have complex
requirements. Thus, a larger number of AMHS vehicles are now required to pick-
up and transport these lots within the production facility. This has increased
vehicular traffic jams and the wait time for lots requiring pick-up and delivery.
Hence, to increase the system throughput, we present improved routing
algorithms for the over hoist transport control (OHTC) system.
36 - An Adaptive Large Neighborhood Search Heuristic for the
Inventory Routing Problem with Time Windows
Mina Hadianniasar, University of Arkansas, 901 N Pollard Street,
Arlington, VA, 22203, United States of America,
Ashlea Milburn
This research models an integrated distribution and inventory control problem
(IRP) which is faced by a retail chain in the US. Currently, a direct shipping policy
with time window constraints is used for replenishing stores. This paper develops
an Adaptive Large Neighborhood Search Heuristic to determine the optimal
timing and magnitudes of deliveries to stores. The optimal plan considers direct
shipping policy as well as options combining deliveries for multiple stores into a
single route.
37 - Forecasting-based Truck Wait Time Reduction at Logistic Nodes
Alessandro Hill, Hamburg University of Technology,
Am Schwarzenbergcampus 4, Hamburg, Germany,
, Finn Meissner, Juergen Boese
Truck wait times at logistic nodes such as container depots, packing facilities or
terminals cause delays in transport chains and traffic congestion. Truck companies
and nodes experience economical losses due to vehicle idle times and a lack of
planning reliability regarding routes, personnel or machinery, respectively. In this
work we present a flexible forecasting-based real worldapproach using artificial
neural networks to predict both, the truck wait times and the arrival rates at the
nodes.
38 - Impact of Overbooking in Appointment Scheduling of
Primary Care Services
Babak Hoseini, PhD Candidate, New Jersey Institute of
Technology, University Heights, Newark, NJ, 07102,
United States of America, , Wenbo Cai
No-shows and late cancellations not only reduce the providers’ utilization, but
also results in long waiting time for other patients. Overbooking has the potential
to mitigate these negative impacts. However, excess overbooking may lead to
even longer waiting times for patients and prolonged working days for the care
team. We use a mathematical model to evaluates the benefit of overbooking and
develop a scheduling policy that reduces patients’ waiting time, and increase
provider’s utility.
39 - Research on Combination of Container Yard Allocation and
Automatic Lifted Vehicle Path Optimization
Hongtao Hu, Shanghai Maritime University, Room101, No 96,
555 Guzong Road, Shanghai, China,
This paper brings in a new type of automatic transport machinery—automatic
lifted vehicle which has the ability to lift container from the floor or put it down
on the floor. Meanwhile, a mixed integer programming model is established to
ensure that all the containers handled as far as possible in the time window. The
model also considers the problem of allocating blocks to discharge containers and
optimizing path of automatic lifted vehicle.
40 - Shipping Commodities Between a Container Terminal and
Different Destination Zones using Heavy Trucks
Mazen Hussein, Assistant Professor, University of Wisconsin-
Platteville, Platteville, WI, 53818, United States of America,
The cost model for shipping commodities by truck developed by Hussein M.
(2010) is extended to consider the impact of tollway polices on truck route
selection for shipping containers of specific commodity groups near a container
terminal. A path-finding model is built for this purpose. The values of time were
used to mimic the truck’s choices to ship containers of different commodities
between a container terminal and different facilities.
41 - Network Motif Analysis for an Infrastructure System
Against Vulnerability
Jing Jiang, PhD, Shanghai Jiao Tong University, Shanghai, China,
, Xiao Liu
A motif-based evolutionary perspective is provided for infrastructure network
design. First, a multi-objective vulnerability-cost model is proposed to optimize
network structure. Secondly, an evolutionary algorithm is developed. Thirdly, a
network is tested by structure analysis, and motifs are traced during the
evolutionary process. Finally, Western States Power Grid is analyzed. Results have
revealed some principles in network design towards lower cascading vulnerability
and construction cost.
42 - Patient Reaction to Healthcare Data Breaches
Eric Johnson, Vanderbilt University, Owen School of
Management, Nashville, TN, United States of America,
, Juhee Kwon
We investigate consumer reaction to data breaches. Using a propensity score
matching technique, we analyze a matched sample of U.S. hospitals. We
investigate how breaches affect subsequent outpatient visits and admissions,
accounting for geographically-based competition. We find that the cumulative
effect of multiple breaches significantly decreases outpatient visits and admissions.
43 - Enhancing Distribution Performance through Improved
Relationship Quality and Logistics Integration
Sung-tae Kim, Assistant Professor, SolBridge International School
of Business, 128 Uam-ro, Dong-gu, Daejeon, Korea, Republic of,
Moon-jung Yoo
Prior research has argued that business relationship quality mediated by logistics
integration has shown positively related to distribution service performance.
Hence, firms attempt to achieve higher levels of logistics service and distribution
service performance through logistics integration. This study examines
relationship quality and logistics integration to understand how the two factors
are linked to distribution service performance.
44 - Smart Logistics: Distributed Control of On-demand Green
Transportation Services
Seokgi Lee, Assistant Professor, University of Miami, 1251
Memorial Drive 281, Coral Gables, FL, 33146, United States of
America, , Yuncheol Kang, Vittaldas V. Prabhu
We develop a strategic decision-making framework for on-demand delivery
services, considering both operational and environmental performance explained
by Just-In-Time delivery service, fuel consumption, and carbon emissions. The
optimal policies based on the Markov decision process are established to make
admission plans of delivery requests, and an integrated dynamic algorithm for
admission control and route scheduling is developed.
45 - Extreme-point Search Heuristics Ffr Interval-flow Generalized
Network Problems
Angelika Leskovskaya, Southern Methodist University, 3145 Dyer
St., Suite 372, Dallas, TX, 75205, United States of America,
, Richard Barr
Interval-flow generalized networks are a new extension of the classic generalized
network formulation that adds a conditional lower bound constraint on the arcs.
An interval-pivoting heuristic that exploits the quasi-tree-forest basis structure to
explore extreme points is developed and computational testing is presented.
46 - Hedge Fund Leverage Choice under
Time-inconsistent Preference
Bo Liu, University of Electronic Science and Technology of China,
No.2006, Xiyuan Ave,West Hi-Tech Zone, Chengdu, SC, 611731,
China,
We show that time inconsistency preference discourages the manager from
underinvesting because of the high liquidation risk. The payment of incentive fees
may induce the irrational manager to be more aggressive and to overinvest.The
naive manager is more conservative than the sophisticated manager and prefers a
lower leverage level in normal times.Interestingly,investors are not sensitive to
the manager’s irrational investment behavior.
47 - New Assay Implementation Planning at Clinical Laboratory
Wei Liu, Industrial Engineer, MD Anderson Cancer Center, 8515
Fannin St, Houston, TX, 77054, United States of America,
Cindy Lewing, Bedia Barkoh,
Pramod Mehta, Mark Routbort, Humin Lu, Justin Villarreal,
Raja Luthra, Keyur Pravincha Patel, Geeta S Mantha,
Mylene Bole, Haobo Yang, David Garcia, Zou Zhuang
Implementation of a new complex laboratory assay at our high-volume and high-
complexity clinical Molecular Diagnostics Laboratory was facilitated by
application of multiple engineering approaches including workflow assessment,
historical volume-based demand prediction, IT solution, and resource allocation.
The new assay implementation is expected to be successful with minimal
workflow interruptions, no patient care interruptions, low implementation cost
and optimal resource utilization.
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