2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
415
WB57
Music Row 5- Omni
Behavioral Aspects of Managing Innovation
Sponsored: Behavioral Operations Management
Sponsored Session
Chair: Evgeny Kagan, Ann Arbor, MI, United States,
Co-Chair: Stephen Leider, University of Michigan, Ann Arbor, MI,
United States,
1 - When To Hire The First Employee? Behavioral Evidence
And Insights
Anton Ovchinnikov, Queens University, Kingston, ON, Canada,
, Beatrice Boulu-Reshef,
Charles J Corbett
Effectively any entrepreneur shifts from doing all the work him/herself to hiring
someone to do part of that work. We use an analytical model and behavioral
experiments to study when entrepreneurs should and do hire their first
employee. Understanding both the optimal timing/conditions of hiring and the
deviations of the hiring patterns from optima have the potential to provide
insights to a very broad spectrum of entrepreneurs at the critical early stage of
their new venture formation process.
2 - Managing The Dynamics Of Delegated Search
Karthik Ramachandran, Scheller College of Business,
Georgia Institute of Technology,
, Morvarid Rahmani
Firms often delegate search for solutions to challenges such as product design,
advertisement creation, executive search, etc. We study the dynamics of delegated
search. We identify conditions under which the client should use a committed or
open-ended approach to evaluating solutions.
3 - Incentives In Startups: Form And Timing Of Equity Contracting
Evgeny Kagan, Ross School of Business, University of Michigan,
William S Lovejoy, Stephen Leider
We explore theoretically and experimentally how form and timing of equity
contracting affects contribution behavior to the startup. Our experimental
findings are consistent with the empirical evidence that equal division is
associated with reduced contributions. However, the differences in contributions
are mainly driven by self-selection of low-contributors into equal contracts, rather
than by the incentive effects of the contracts. We also find that the negotiation
process itself may be an important driver of contribution behavior in collaborative
work settings.
4 - An Experimental Investigation Of Favour Exchange Under
Monetary And Non-monetary Incentives
Kyle Hyndman, Naveen Jindal School of Management, UT Dallas,
Richardson, TX, United States,
Matthew Embrey, Rudolf Muller
We experimentally study a the situation in which subjects must trade favors -
costly actions by one person which only benefits another. We are interested in the
role of monetary incentives in promoting efficient exchange. Our results show
that monetary exchange achieves the most efficient outcome, but that non-
monetary exchange can do as well or better provided that the group scores highly
on “social value orientation”.
WB58
Music Row 6- Omni
Energy XIII
Contributed Session
Chair: Mohammad Majidi-Qadikolai, Graduate Research Assistant,
University of Texas-Austin, 3373 Lake Austin Boulevard, Apt D,
Austin, TX, 78703, United States,
1 - A Hybrid Top-down, Bottom-up Approach For Saudi Arabia
Hossa Almutairi, King Abdullah Petroleum Studies & Research
Center (KAPSARC), King Abdullah Petroleum Studies & Research
Ce, Airport Road, Riyadh, 11672, Saudi Arabia,
We show how to combine a CGE-like top-down model with a technology-rich
bottom-up energy model in a single Mixed Complementarity Problem (MCP).
Calibrated on Saudi Arabia’s data, this hybrid model will be used to study the
interaction between energy and non-energy sectors and to get insights on the
effects of energy policies on the whole Saudi economy.
2 - A Convex Relaxation Approach To Strategic Bidding In Nodal
Electricity Markets
Hamed Mohsenian-Rad, Associate Professor, University of
California - Riverside, 900 University Ave, Department of
Electrical Engineering, Riverside, CA, 92521, United States,
, Mahdi Ghamkhari, Ashkan Sadeghi
Strategic bidding problems in electricity markets are formulated by bi-level
optimization problems which are often translated to mixed-integer linear
programs (MILPs). In this paper, we instead propose convex programming to
solve the strategic bidding problem in nodal electricity markets. Our approach
guarantees a feasible and accurate bidding solution, with 99% optimality. While
the computation time of the MILP approach grows exponentially as the
scheduling horizon or number of random scenarios increases, the computation
time of our approach increases rather linearly.
3 - Optimization In Smart Grid With Limited System Observability
Sunil K Vuppala, INFOSYS/IIITB, 309, Elil Abode, Mahadevapura,
Outer Ring Road, Bangalore, 560048, India,
, Srinivasa Prasanna
We present optimization of energy management in smart grid in the presence of
limited system observability and controllability. We assume at least % of the
scheduled demand is followed by the consumers. Remaining (1- )% is arbitrary,
assumed adversarial. Bounds are found with min-min / max-max formulations
which is LP/ILP problem. Robust bounds are obtained using heuristics. The initial
results indicate adversarial bounds of 200% in 10,000 consumer example which
is equal to price ratio.
4 - Handling Dynamic Constraints In Power System Optimization
Francois Gilbert, Postdoctoral Appointee, Argonne National
Laboratory, 9700 S. Cass Avenue, Lemont, IL, 60439, United
States, , Shrirang G Abhyankar, Hong Zhang,
Mihai Anitescu
The inclusion of dynamic stability constraints is the nominal objective of many
optimization-based power system analyses. In current practice, this is typically
done off-line. We present an approach for the on-line inclusion of dynamic
constraints in power grid optimization problems. The approach is based on an
encapsulation that allows for a loose coupling between the optimization and the
numerical simulations. We demonstrate the benefits of the approach on a 118 bus
systems, for which we solve an economic dispatch with transient constraints.
5 - Integrating Short-term And Long-term Transmission
Expansion Planning
Mohammad Majidi-Qadikolai, Graduate Research Assistant,
University of Texas-Austin, 3373 Lake Austin Boulevard, Apt D,
Austin, TX, 78703, United States,
Ross Baldick
For long-term transmission expansion planning (LTEP), 10 + years is usually
selected as a planning horizon; however short-term planning (STEP) is limited to
less than 5 years. Common practice is to run these two planning studies
separately. On one hand, the impact of long-term load and generation growth on
STEP is ignored, and on the other hand, LTEP cannot represent network
configuration changes as a result of STEP that makes LTEP results less realistic. In
this paper, we integrate these two planning studies into a single multi-stage TEP
and discuss modeling and computational challenges.
WB59
Cumberland 1- Omni
Drone-Based Logistics
Sponsored: TSL, Facility Logistics
Sponsored Session
Chair: Sudipta Chowdhury, Mississippi State Univ, MSU, Starkville, MS,
39762, United States,
Co-Chair: Mohammad Marufuzzaman, Mississippi State University, PO
Box 9542, Starkville, MS, 39762, United States,
1 - Drone Routing And Optimization For Wildlife Surveillance
Adindu Emelogu, PhD Student, Mississippi State University,
260 McCain Engineering Building, Mississippi State, MS, 39762,
United States, , Sudipta Chowdhury,
Mohammad Marufuzzaman, Linkan Bian, Brian Smith
The drone is one of the leading edge technologies developed for military
applications with the potential of evolving into useful public and private uses. In
this study, we investigate the use of drones in the surveillance and monitoring of
wildlife population. Such operation is important for several wildlife conservation
and animal health infrastructural initiatives. We formulate the surveillance
problem as a mixed-integer linear programming model that determines the
location of the drone launching stations and the optimal routing of the drone’s to
safely survey the target area and minimize the total location, transportation, and
energy costs of the system.
WB59