2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
267
4 - Division Of Labor: Managing A Portfolio Of
Self-scheduling Workers
Kaitlin Daniels, Assistant Professor, Olin Business School,
Washington University in St. Louis, St. Louis, MO, United States,
Self-scheduling workers value their ability to decide for themselves how much
they work. However, the flexibility of self-scheduling creates costly uncertainty in
the service capacity of a firm coordinating a network of self-scheduling workers.
We study a system of heterogeneous workers who decide to work in response to
incentives offered by a firm. The firm balances the cost of convincing some
workers to work reliably with the benefit of reducing capacity uncertainty. We
study how the mix of reliable and “flexible” workers changes as workers make
costly demands of the firm (e.g. expense reimbursement, overtime pay, minimum
wages), like those made by Uber drivers in recent lawsuits.
TB09
103B-MCC
Information and Market Structure
Sponsored: Applied Probability
Sponsored Session
Chair: Yash Kanoria,
1 - Designing Information Disclosure Policies
Kostas Bimpikis, Stanford, Stanford, CA, United States,
, Mohamed Mostagir
Participants race towards completing a project and learn about its feasibility from
their own efforts and their competitors’ gradual progress. Information about the
status of competition can alleviate some of the uncertainty inherent in the
contest, but it can also adversely affect effort provision from the laggards. This
paper explores the problem of designing the information disclosure policy of a
contest in a dynamic framework and provides a number of guidelines for
maximizing the designer’s expected payoff.
2 - Shared Information Sources In Exchanges
Mariann Ollar, University of Pennsylvania,
In financial and commodity exchanges, shared information sources, such as
common forecasting methodologies or targeted advertisement, induce common
biases in forecast errors. I show here in a linear normal model, that shared
information sources qualitatively affect information aggregation and trade
stability. First, they hinder perfect aggregation of information even on large
markets with fundamental values and they necessitate learning from price even
with independent trader values, since price is then informative about the
common bias. Importantly, source restrictions can resolve market collapse,
especially in exchanges with strong common values.
3 - Stable Matchings Are Easy To Find
Yash Kanoria, Columbia Business School, ,
Itai Ashlagi, Mark Braverman, Peng Shi
Matching markets include dating markets, school/college admissions, and labor
markets. We analyze two-sided markets with tiers and study how much search
effort is needed to find a stable matching. We find a “small” amount of search
effort suffices, if each agent reaches out to his most desirable potential matches
among those who have slightly less market power than his own. Interestingly,
agents should wait for dream matches to reach out to them.
TB10
103C-MCC
Natural Gas Markets
Sponsored: Energy, Natural Res & the Environment,
Energy II Other
Sponsored Session
Chair: Felipe A Feijoo, Johns Hopkins University, 3400 N Charles St,
Baltimore, MD, 21218, United States,
Co-Chair: Sauleh Ahmad Siddiqui, Johns Hopkins University, 3400 N.
Charles St., Latrobe Hall 205, Baltimore, MD, 21218, United States,
1 - Evaluating Risks Of Maritime Transportation And Countries Of
Import Source For LNG
Ayumi Sekimori, Chuo University, Tokyo, Japan,
, Shigeki Toriumi, Ryuta Takashima
The use of natural gas has increased due to the influence of Fukushima accident.
Thus it becomes more important to choose source countries for LNG import. In
this work we analyze an import policy for LNG taking into account risks of
maritime transportation and countries of import source. Especially the
transportation risk includes maritime accidents and a dependence on chokepoints.
The import source countries for LNG are decided by minimizing both risks under
constraint of transportation cost.
2 - A Simulation Model For Comparing The Robustness Of
Alternative Liquefied Natural Gas Annual Delivery Programs
Fatih Mutlu, Qatar University,
Annual delivery program (ADP) is an integrated production, inventory, and
delivery plan prepared by liquefied natural gas (LNG) suppliers to fulfill their
contractual requirements. Traditionally, ADPs are prepared with the aim of
minimizing the operational and contractual penalty coss. However, the
implementation of an ADP is subject to many random disturbances, e.g., travel
time delays. We develop a discrete-event based systems simulation model to
simulate the implementation of an ADP by incorporating travel times uncertainty.
Our model includes several contingency plans in case of delays. We compare the
robustness of alternative ADPs using the simulation model.
3 - The North American Natural Gas Model: Analysis Of Long Term
Natural Gas Exhaustion
Sauleh Ahmad Siddiqui, Johns Hopkins University, 3400 N Charles
Street, Baltimore, MD, 21218, United States,
Felipe A Feijoo
The U.S. shale boom and new power plant regulations recently announced by the
U.S. Environmental Protection Agency have stimulated substantial academic
debate and numerical simulation exercises to understand the future role of
natural gas in North America. Furthermore, the U.S. is expected to become a
significant net exporter of natural gas over the next years. We use the North
American Natural Gas Model (NANGAM) to better understand the new
developments in infrastructure needed in North America to address increasing
global demand. An analysis of resources being exhausted due to increased exports
is also performed.
TB11
104A-MCC
Optimization in Network Reliability, Security, and
Interdiction
Sponsored: Optimization, Network Optimization
Sponsored Session
Chair: Yongjia Song, Virginia Commonwealth University, Richmond,
VA, United States,
1 - Multi-layered Interdependent Network Flow Problem
Negin Enayaty, University of Arkansas, 4207 Bell Engineering
Center, Fayetteville, AR, 72701, United States,
, Kelly Sullivan, Sarah G Nurre,
Matthew Jd Robbins, Brian J Lunday
We propose a generalization of the minimum cost multi-commodity flow problem
in which the flow of each commodity is dependent on the flow of other
commodities. We present computational results for an interdependent
infrastructure data set and analyze the cost of layer interdependence in this
problem. We develop model reduction strategies and investigate their effect on
reducing computation times.
2 - Vulnerability Analysis Of Interdependent Networks Via Integer
Programming Approaches
Shanshan Hou, The University of Arizona,
Due to the mutual support from the other one, the interdependent network
shows increasing vulnerability to failures. In this talk, we proposed integer
programming formulations to identify the most vulnerable components in the
network, and also the solution approaches. To validate and test the model and
algorithm, we perform the numerical experiments on power grid and its
supporting communication control network. The potential application of this
research is to redesign or defense many networks, especially the infrastructure
networks.
3 - Stochastic Network Interdiction With Incomplete Preference
Babak Saleck Pay, Virginia Commonwealth University,
We study two different cases of the stochastic shortest path interdiction problem
with incomplete preferences. In the first case, the defender makes an interdiction
decision, random network costs are realized, and then the attacker chooses his
path. In the second case, the decisions of both players are made before the
realization of randomness. We consider the situation where the underlying utility
functions of the decision makers are ambiguous. We use a minimax formulation
for the defender to minimize the attacker’s worst-case utility. We present
numerical results based on randomly generated instances to show the
performance of the models.
TB11