INFORMS Philadelphia – 2015
223
3 - Request for Service Process (RFS) Process Reengineering for
IBM Strategic Outsourcing (SO) Business
Pawan Chowdhary, Software Research, IBM Research,
650 Harry Road, San Jose, CA, 95120, United States of America,
chowdhar@us.ibm.com,Jeanette Blomberg, Anca Chandra
RFS’s are small work items that were not covered in strategic SO contract and are
highly profitable. For a typical contract there could be hundreds of RFS that needs
to be executed. The traditional processes to manage these RFS’s were very
cumbersome and often got delayed. In this talk, I will present the findings and the
process reengineering work that IBM Research did to improve the performance of
the RFS’s along with increased customer satisfaction.
MC53
53-Room 107B, CC
Opportunities and New Directions for Behavioral OM
Sponsor: Behavioral Operations Management
Sponsored Session
Chair: Stephen Leider, University of Michigan, 701 Tappan Ave R4486,
Ann Arbor, MI, 48104, United States of America,
leider@umich.edu1 - Supply Chain Risk: Behavioral Research Opportunities
Brian Tomlin, Professor, Tuck School of Business, Dartmouth
College, 100 Tuck Hall; Hanover, NH, United States of America,
Brian.T.Tomlin@tuck.dartmouth.eduI will give an overview of the theoretical research in supply chain risk and
attempt to identify some interesting questions for behavioral research.
2 - Humans Versus Machines: Impact on Network Capacity
Jan Van Mieghem, Professor, Kellogg School of Management,
2001 Sheridan Road, 5th Floor, Evanston, IL, 60201, United
States of America,
vanmieghem@kellogg.northwestern.edu,Itai Gurvich, Lu Wang
One of the fundamental questions in operations is to determine the maximal
throughput or productivity of a process. Does it matter whether humans or
machines execute the various steps in the process? If so, how do we incorporate
this difference in our planning and performance evaluation? We propose some
answers by discussing two examples: a theoretical analysis an empirical study.
3 - Sustainability: Challenges and Research Opportunities
Erica Plambeck, Professor, Stanford Graduate School of Business,
655 Knight Way, Stanford, CA, United States of America,
elp@stanford.eduEnvironmental sustainability requires profound changes in the production of
goods and services. Behavioral OM researchers can guide and learn from those
changes.
MC54
54-Room 108A, CC
Equilibrium Routing and its Paradoxes
Cluster: Tutorials
Invited Session
Chair: Asu Ozdaglar, Massachusetts Institute of Technology, 32 Vassar
St, Cambridge, MA, United States of America,
asuman@mit.edu1 - Tutorial: Equilibrium Routing and its Paradoxes
Asu Ozdaglar, Massachusetts Institute of Technology, 32 Vassar St,
Cambridge, MA, United States of America,
asuman@mit.eduWe study equilibrium routing of flows in congested traffic and communication
networks. We investigate efficiency implications of decentralized routing with and
without prices and with different information structures. Despite the tractable
nature of the models, both the equilibrium properties and the potential types of
inefficiencies are rich and can sometimes change in unexpected directions in
response to modifications in network and information structures.
MC55
55-Room 108B, CC
Efficiency in the Higher Education and
Banking Sectors
Cluster: Data Envelopment Analysis
Invited Session
Chair: Jill Johnes, Professor, University of Huddersfield , The Business
School Queensgate, Huddersfield, HD1 3HG United Kingdom
j.johnes@hud.ac.uk1 - Does Bank Performance and Corruption Matter for Economic
Growth? An International Exploratory Study
Abdel Latef Anouze, Assistant Prof, Qatar University, College of
Business and Economic-DMM, Doha, No, 2713, Qatar,
a.anouz@qu.edu.qaWhile previous economic development studies take into account the impact of
financial sector performance on economic growth, the role of corruption as
economic factors remain yet to be assessed. This paper integrates DEA and
Structural Equation Modelling (SEM) to explore these relationships.
Experimental experiences are reported on a sample of banks from different
countries. The analytical results provide illustration on how to integrate DEA and
SEM to examine and predict economic development
2 - Bank Branch Operational Performance: A Robust Multivariate and
Clustering Approach
Kostas Triantis, John Lawrence Professor, Virginia Tech, 7054
Haycock Rd, Room 428, Falls Church, VA, 22043, United States of
America,
triantis@vt.edu, Joseph Paradi, Haiyan Zhu, Oscar
Herrera-restrepo, William Seaver
We investigate bank branch operational performance by integrating robust
techniques for clustering analysis and data envelopment analysis (DEA). By
applying robust techniques based on principal component analysis, we look for
the detection of branches exhibiting extreme operating behaviors (i.e.,
influential), and the clustering of branches based on operating characteristics. Our
premise is that influential branches affect both the clustering and the
determination of efficiency performance.
3 - Costs and Efficiency in the English Higher Education Sector:
Latent Class Stochastic Frontier Models
Jill Johnes, Professor, University of Huddersfield , The Business
School Queensgate, Huddersfield, HD1 3HG United Kingdom
j.johnes@hud.ac.uk, Geraint Johnes
Using panel data from 2002/03 to 2010/11 we estimate a cost function for English
higher education institutions (HEIs) using the latent class variant of the stochastic
frontier model. We are able to: identify clusters of institutions based on the data;
evaluate the parameters of the cost function for each cluster; estimate economies
of scope and of scale within each cluster; measure efficiency of each institution
relative to all HEIs and other HEIs in the same cluster.
MC56
56-Room 109A, CC
Location Analytics
Sponsor: Location Analysis
Sponsored Session
Chair: Alan Murray, Professor, Drexel University,
3141 Chestnut Street, Philadelphia, PA, 19104,
United States of America,
amurray@drexel.edu1 - Locating Units in a Data Network with Full Reliability
and Redundancy
Sergio García Quiles, Lecturer In Operational Research,
University of Edinburgh, James Clerk Maxwell Building,
Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom,
sergio.garcia-quiles@ed.ac.uk, Lukas Schaefer, Andreas Mitschke,
Vassili Srithammavanh
We study the problem of designing a data network that has to fulfil some
restrictions while being optimal under certain criteria. Some data flows must be
sent between certain units to be located and there must be full reliability and
redundancy . A network is fully reliable if the probability of any given function
failing is less than a given safety threshold. Full redundancy means that no single
failure leads to the loss of any function. This problem is motivated by a real
application.
MC56