2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
177
Allocation Of Organization’s Resource Using Data Envelopment
Analysis & Topsis Method: A Case Of Capital Medical University
Tao Du, Beijing Institute of Technology, Beijing, China,
We proposes a DEA-TOPSIS combined method for the problem of organization’s
resource allocation. This method, firstly, measures the DMUs’relative efficiency
using DEA model, and determines the organization’s efficiency objectives and
alternatives. In the second stage, we ranks the alternatives using TOPSIS method
for organization making decision. DEA measures the DMUs’ relative efficiency
about multiple-input and multiple-output index, so it is theoretically possible to
the decision matrix for the TOPSIS method. Taking the 10 affiliation hospitals of
capital medical university for example, results show DEA-TOPSIS combined
method can sequence alternatives effectively.
Spent Microbial Biomass As An Alternative Fertilizer:
A Spatial Cost And Optimal Product Mix Analysis
Rachel Eatherly, Graduate Research Assistant, University of
Tennessee, 2621 Morgan Circle, 307 G-Agricultural Economics,
Knoxville, TN, 37996, United States,
High commercial fertilizer costs have necessitated further investigation into
alternative sources of N, P, and K to meet the fertility requirements of crops
grown in East Tennessee. The objective of this analysis is to determine the optimal
fertilizer mix strategy and minimum cost threshold for utilizing spent microbial
biomass as an alternative to commercial fertilizer in Loudon County, Tennessee
using a linear programming model. Additionally, the analysis will examine the
optimal spatial distribution of the spent microbial biomass across typical crops and
crop rotations.
A Cyber-physical Vulnerabilities Framework For Manufacturing
Systems: A Quality Control Perspective
Ahmed Elhabashy, PhD Student, Virginia Tech, 1145 Perry Street,
114 Durham Hall, Blacksburg, VA, 24061, United States,
Lee J Wells, Jaime Camelio, William Woodall
With recent technological advancements, manufacturing systems have become
more susceptible to cyber-attacks that can maliciously affect the physical world.
Moreover, such cyber-physical attacks can be designed to avoid detection by
traditional Quality Control (QC) tools. Hence, this work proposes a framework
that allows for understanding the relationships between QC systems,
manufacturing systems, and cyber-physical attacks; in order to develop better QC
tools minimizing the chances of such attacks being effective in manufacturing
systems. The proposed framework analyzes the different levels involved in cyber-
physical attacks and explores potential QC tools exploitation mechanisms.
Analysis Of Competition And Cooperation Strategy Of Railway
Inland Port And Seaport
Mi Gan, Associate Professor, Southwest Jiaotong University, Jinniu
District, 111 N 1st Erhuan Road, Chengdu, 610031, China,
Shuai Yang, chen si, Juan Yu
China government has constructed a number of inland ports to narrow the
economic development gap between coastal developed areas and inland area. The
function of inland port is similar to seaport; especially to those inland ports
possess an international express railway could transport cargoes by freight train
directly from inland region to abroad. Given that, there is a new decision problem
urgent to solving for urban policy maker and related enterprises: what is the
optimal strategy (competition /cooperation) for the inland port and seaport? In
this sense, we aim to construct a competition-cooperation model to support the
port operators and local government to make decisions on strategy level.
Optimal Number Of Choices In Rating Contexts
Sam Ganzfried, Assistant Professor, Florida International
University, 11200 SW 8th St, Miami, FL, 33199, United States,
In many settings people give numerical scores to entities from a small discrete set,
e.g., attractiveness from 1-5 on dating sites and papers from 1-10 for conferences.
We study the problem of understanding when using a different number of options
is optimal. We study several natural processes for score generation. One may
expect that using more options always improves performance, but we show that
this is not the case, and that using fewer choices—even just two—can surprisingly
be optimal. Our results suggest that using fewer options than typical could be
optimal in certain situations. This would have many potential applications, as
settings requiring entities to be ranked by humans are ubiquitous.
Information Technology Investment And Logistics Outsourcing
Contract
Fengmei Gong, Assistant Professor of Information Technology,
University of La Verne, 1950 Third Street, La Verne, CA, 91750,
United States, David Kung
Third party logistics (3PL) providers have invested a lot in information
technologies (IT) to improve its logistics service quality. We compare four
different contracts for logistics outsourcing and consider a 3PL’s investment in IT.
We find that the performance of contracts is related to the 3PL’s IT investment.
Comparing The Impact Of Park And Ride, Non-park And Ride,
And Terminals On Schedule Time For The Hudson-Bergen
Light Rail
Erika Gonzalez, New Jersey City University, 1809 Bergenline Ave,
Apt 2B, Union City, NJ, 07087, United States,
The Hudson-Bergen Light Rail transportation service provides commuters
accessible ways to travel throughout Hudson and Bergen Counties in New Jersey.
In addition, commuters have the option to use a “Park and Ride” service adjacent
to several light rail stations. Hence, this study investigates the service quality with
respect to the efficiency and reliability of train arrival and departure time.
The Effect Of High Socioeconomic Inequalities On The
Educational Efficiency
Maria Cristina Gramani, Professor, INSPER, rua Indiana,
463 ap. 82, Brooklin, Sao Paulo-SP, 04562000, Brazil,
This study constructs a two-stage model that takes into account the link between
educational efficiency and socioeconomic indicators, using DEA methodology
followed by the tobit regression. These aims are achieved using data from 5,020
municipalities in Brazil. The results suggest that for less wealthy municipalities
other factors than expenditure per capita have much more influence on IDEB,
but for the richest municipalities the expenditure per capita is considered an
efficient determinant of education. The tobit regression results strongly confirm
that municipalities with high inequality are inclined to have lower educational
efficiency.
Obtaining Lower Bounds For Conditional Value-at-risk
Optimization In Stochastic Mixed-integer Programs
Ge Guo, PhD Candidate, Iowa State University, 3004 Black
Engineering Building, Iowa State University, Ames, IA,
50011-2164, United States,
Recently, optimization of risk measures has attracted attention in stochastic
mixed-integer programs. Computational issues regarding lower bound for
Conditional Value-at-Risk (CVaR) models, however, are largely unexplored. We
present a method to obtain convergent and tight lower bounds from the
Progressive Hedging Algorithm (PHA) for CVaR-based stochastic mixed-integer
programs. This method can assess solution quality for PHA and also integrate with
exact algorithms that rely on lower bounds. We report computational results on
stochastic server location and manufacturing instances.
Evaluation Of Traffic Management Strategies At The Swedish
Emeregency Call Center
Klas Gustavsson, PhD Student, Mid Sweden University,
Sundsvall, 85170, Sweden,
The Swedish emergency call center fail in achieving government agreement
regarding availability. In this project we evaluate different traffic management
strategies using our designed discrete event simulation model, also supposed to
apply as a traffic planning tool assisting daily issues. Outputs from the study has
so far contributed to the managerial decision of implementing a new strategy,
currently being evaluated. The result from this evaluation is statistical significant.
As a result of our evaluation we have pinpointed some challenges of great value
for the management team. For instance, if they measure sociological parameters,
the model performance will be significantly improved.
The Growing Role Of Analytics In Management Education
Owen P Hall, Professor, Pepperdine University, 6100 Center Drive,
Suite 400, Los Angeles, CA, 90045, United States,
, Ken Ko
Business schools are under growing pressure to engage in significant
programmatic reforms in light of the business community’s call for web-savvy,
problem solving graduates. The increase use of Analytics represents one approach
for helping addressing these challenges. The purpose of this presentation is to
highlight best practices in the use of Analytics throughout the management
VHA Supply Chain Enterprise System Benchmarking Analysis
Julie Lynn Hammett, Texas A&M University, 301 Holleman Dr E,
Apt 728, College Station, TX, 77840, United States,
We present the final outcome of a benchmarking analysis of supply chain
enterprise systems conducted by Texas A&M University for the Veterans Health
Administration and the Veterans Affairs Center for Applied Systems Engineering.
This project entailed market research, stakeholder analysis, functionality
requirements definition and prioritization, and benchmarking analysis using
SWOT and Data Envelopment Analysis. The use of dual benchmarking
methodologies was beneficial for representing the alternatives to the varied
perspectives of the decision making units.
POSTER SESSION