INFORMS Philadelphia – 2015
173
4 - Command and Control Metrics in Studies of Unit Structure
and Effectiveness
Doug Samuelson, InfoLogix, Inc., 8711 Chippendale Court,
Annandale, VA, 22003, United States of America,
samuelsondoug@yahoo.comThe recent Marine Corps Combat Development Command study, “Composition of
the Infantry Battalion,” raised a number of issues, especially: better metrics to
assess likely leader effectiveness; leadership structures, communication methods
and protocols; decision-making about logistics and intelligence; and the extent to
which joint training improves coordinated effect. We summarize findings to date
and sources cited and suggest future assessments of unit structure and resulting
effectiveness.
MB02
02-Room 302, Marriott
MAS Tutorial: A Brief Introduction To
Predictive Analytics
Sponsor: Military Applications
Sponsored Session
Chair: Greg Parlier, Past President, MAS of INFORMS, 255 Avian Lane,
Madison, AL, 35758, United States of America,
gparlier@knology.net1 - A Brief Introduction to Predictive Analytics
Thomas Willemain, Smart Software, Inc., Niskayuna, NY,
United States of America,
TomW@smartcorp.comThis tutorial will introduce a few key methodologies in the field of predictive
analytics: extrapolative time series forecasting, linear and logistic regression, and
tree models including random forests. The emphasis will be on matching methods
to problems, understanding the inputs required by and outputs supplied by the
methods, and perspectives on the strengths and weaknesses of the methods.
MB03
03-Room 303, Marriott
Supply Chain Scheduling
Cluster: Scheduling and Project Management
Invited Session
Chair: Zhi-Long Chen, Professor, University of Maryland, Robert H.
Smith School of Business, College Park, MD, 20742, United States of
America,
zchen@rhsmith.umd.edu1 - Integrated Production and Delivery with Multiple Factories
and Customers
Joseph Leung, New Jersey Institute of Technology, 4202
GITC,Department of Computer Science, Newark, United States of
America,
joseph.y.leung@njit.edu, Xun Zhang, Ba-Yi Cheng,
Kai Li
We consider a scheduling problem where machines are geographically distributed
and hence the production costs are different. The delivery costs are also different,
depending on where the products are produced. Given a threshold U of the total
cost, we want to minimize the makespan or total completion time, subject to the
constraint that the total cost is not more than U. Heuristics are proposed and their
performances are evaluated through computational studies.
2 - Personnel Scheduling and Supplies Provisioning in Emergency
Relief Operations
Lian Qi, Rutgers Business School, Department of Supply Chain
Management &, Rutgers, United States of America,
lianqi@business.rutgers.edu, Lei Lei, Michael Pinedo,
Shengbin Wang, Jian Yang
The practice of emergency operations often involves travelling of medical teams
and distribution of medical supplies. The coordination of the scheduling of the
medical teams and supplies is critical. We introduce a math programming based
rolling horizon heuristic that is able to quickly find near optimal solutions. A
polynomial time solvable case, which leads to the design of the proposed
heuristic, is discussed. Managerial insights drawn from numerical studies are
provided.
3 - Makespan Minimization on Parallel Machine Subject to Machine
Release Times and Minimum Total Completion Time
Yumei Huo, Associate Professor, City University of New York,
College of Staten Island, 2800 Victory Blvd. 1N-215,
Staten Island, NY, 10314, United States of America,
Yumei.Huo@csi.cuny.eduWe study the preemptive bi-criteria scheduling problem on m parallel machines
such that machines have different release times and once the machines are
released, they are always available. The goal is to minimize the makespan subject
to the constraint that the total completion time is minimized. We show that there
is an optimal polynomial time algorithm for this problem.
4 - Latest Developments in Supply Chain Scheduling
Zhi-Long Chen, Professor, University of Maryland, Robert H.
Smith School of Business, College Park, MD, 20742,
United States of America,
zchen@rhsmith.umd.eduSupply chain scheduling studies detailed order scheduling issues in the supply
chain and addresses a variety of applications in the real world. Supply chain
scheduling is a relatively new area with about 15 years of history. A large body of
literature on supply chain scheduling problems has appeared in academic journals
including some surveys. Research interest in this area is still growing. We report
the latest developments in this area.
MB04
04-Room 304, Marriott
Panel: Topics for PhD students
Sponsor: Minority Issues Forum
Sponsored Session
Chair: Maria Mayorga, Associate Professor, University of North
Carolina, Dept. of Industrial & Systems Engineering, Campus Box 7906,
Raleigh, NC, 27695-7906, United States of America,
memayorg@ncsu.edu1 - Topics of Interest for PhD Students
Moderator: Maria Mayorga, Associate Professor, University of
North Carolina, Dept. of Industrial & Systems Engineering,
Campus Box 7906, Raleigh, NC, 27695-7906,
United States of America,
memayorg@ncsu.eduThis session will serve as a panel discussion on topics of interest for PhD students
nearing graduation. Topics include: - deciding on industry versus academia - how
to prioritize objectives towards then end of the PhD Process - work/life balance
when pursuing tenure - networking to achieve a desired faculty position - how to
position yourself when pursuing the market - networking at conferences such as
INFORMS
MB05
05-Room 305, Marriott
Tutorial: Analyzing Social Media with LIWC
Cluster: Social Media Analytics
Invited Session
Chair: Sara Beth Elson, Behavioral Scientist, MITRE Corporation,
7515 Colshire Drive, McLean, VA, United States of America,
Selson@mitre.org1 - Tutorial: Analyzing Social Media with LIWC
Sara Beth Elson, Behavioral Scientist, MITRE Corporation,
7515 Colshire Drive, McLean, VA, United States of America,
Selson@mitre.orgThis tutorial will introduce the Linguistic Inquiry and Word Count (LIWC)
software – a tool that can enable users to track emotion levels expressed in social
media across time. Attendees will walk through an example of how to analyze
social media using LIWC and how to view the emotion levels expressed.
MB05