Informs 2015

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INFORMS Philadelphia – 2015
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2 - Has Production Interdependence Been Changed with
Information Technology?
Fengmei Gong, Assistant Professor Of Information Technology,
University of La Verne, La Verne, CA, 91750, United States of
America, Barrie R. Nault, Zhuo (june) Cheng
Industries have become increasingly integrated with their suppliers’ business
processes such as purchasing and Just-in-time (JIT) production; however,
whether industries in a supply chain have become more interdependent remains
an open question. We examine the impact of an industry’s IT investment on its
production interdependence with upstream suppliers, where we measure
interdependence as direct backward linkage (DBL).
3 - New Platform Announcement Strateges: A Duopoly of
Two-sided Platforms
Rajiv Mukherjee, Assistant Professor, Southern Methodist
University, Dallas, TX, United States of America,
, Ramnath Chellappa
We study a duopoly where two firms that are horizontally differentiated in their
two sided platform offerings evaluate their release strategies for a new version.
The firms chose between two release strategies: I) Formal release whereby the
firms commit to their future offering, II) Informal release whereby the firms
employ rumor or other seeding mechanisms to announce to the market.
4 - Social Interactions and Product Sales in Social Shopping:
An Experimental Approach
Annibal Sodero, Assistant Professor, University of Arkansas,
Sam M. Walton College of Business, Fayetteville, AR, 72701,
United States of America, ,
Elliot Rabinovich, Bin Gu
Social shopping revolves around deeply discounted deals that are offered for a
limited time through social networking websites. In this study, we investigate the
effect of social interactions on product sales and the contingencies surrounding
the interactions. Using an experimental approach, we investigate five social
interaction mechanisms and find that three mechanisms act in tandem to
accelerate a deal’s demand: opinion leadership, network integration, and
boundary spanning of early buyers.
MD11
11-Franklin 1, Marriott
Convex Relaxations for Structured Integer Programs
Sponsor: Optimization/Integer and Discrete Optimization
Sponsored Session
Chair: Akshay Gupte, Clemson University, Dept of Mathematical
Sciences, Clemson, SC, 29634, United States of America,
1 - On The Polyhedral Structure of a Multi-capacity Mixing Set
Ayse Arslan, PhD Student, University of Florida, Weil 413,
Gainesville, FL, 32611, United States of America,
, Jean-philippe P Richard,
Yongpei Guan
In this talk, we study the polyhedral structure of a multi-capacity mixing set. This
set arises as part of the formulation of production planning and logistics problems.
We derive two families of facet-defining inequalities for the set under
consideration by lifting mixing inequalities. We discuss the properties of the
associated lifting function and show that lifting can be performed efficiently. We
thereby strictly generalize earlier results of Marchand and Wolsey [1998].
2 - Sparse Principal Component Analysis (SPCA) via Convexification
Jinhak Kim, Purdue University, 610 Purdue Mall, West Lafayette,
IN, 47906, United States of America,
Mohit Tawarmalani, Jean-philippe P. Richard
We characterize the convex hull of the feasible set of SPCA. The convex hull is
described in a lifted space by dualizing the separation problem. The convex hull
can be reformulated in terms of majorization inequalities. This interpretation
allows us to express each point in the convex hull as a convex combination of
points that satisfy the cardinality constraint. We propose an SDP relaxation in the
lifted space which is stronger than that of d’Aspremont et al (2007).
3 - A Bilevel Programming Problem Occurring in Smart Grids
Leo Liberti, CNRS & Ecole Polytechnique, LIX Ecole
Polytechnique, Palaiseau, France, ,
Sonia Toubaline, Pierre-louis Poirion, Claudia D’Ambrosio
A key property to define a power grid “smart” is its real-time, fine-grained
monitoring capabilities. For this reason, a variety of monitoring equipment must
be installed on the grid. We look at the problem of fully monitoring a power grid
by means of Phasor Measurement Units (PMUs), which is a graph covering
problem with some equipment-specific constraints. We show that, surprisingly, a
bilevel formulation turns out to provide the most efficient algorithm.
MD12
12-Franklin 2, Marriott
Surrogate-Based and Derivative-Free Optimization II
Sponsor: Optimization/Mixed Integer Nonlinear Optimization and
Global Optimization
Sponsored Session
Chair: Rommel Regis, Saint Joseph’s University, Mathematics
Department, 5600 City Avenue, Philadelphia, PA, 19131,
United States of America,
1 - A DFO-based Approach to Computer-aided Mixture Design
Nick Austin, Graduate Student, Carnegie Mellon University, 5000
Forbes Ave, Pittsburgh, PA, 15213, United States of America,
, Nikolaos Sahinidis, Daniel Trahan
Computer-Aided Mixture Design (CAMxD) relies on complex physicochemical
simulation models to design a blend of compounds. We present a novel approach
to CAMxD that relies on the use of derivative-free optimization (DFO). We
present comparative results from the application of 27 DFO solvers to this
challenging problem.
2 - Surrogate-based Optimization for Oral Solid Drug
Product Manufacturing
Zilong Wang, Graduate Research Assistant, Rutgers University, 98
Brett Rd, Chemical and Biochemical Engineering, Piscataway, NJ,
08854, United States of America, ,
M. Sebastian Escotetespinoza, Ravendra Singh,
Fernando J. Muzzio, Marianthi Ierapetritou
Surrogate-based optimization is used to solve computationally expensive
simulation models and to optimize functions when the model is not available.
However the applicability of such methods can be limited due to the high
dimensionality of problem variables. In this presentation we focus on solving
high-dimensional design problems in pharmaceutical manufacturing using RBF-
based surrogate modeling strategies. Case studies will be used to illustrate the
applicability of the proposed approaches.
3 - Applied Results from the Techno-economic Optimization of a
High-flux Solar Thermal Receiver
Michael Wagner, Mechanical Engineer, National Renewable
Energy Lab, 15013 Denver West Parkway, Golden, CO, 80401,
United States of America,
Alexandra Newman, Robert Braun
We optimize a novel concentrating solar power tower receiver technology by
choosing the geometry and optical design. We use computationally expensive
engineering models to generate surrogates that represent the objective function,
which accounts for revenue as a function both of the design of the system and of
the annual plant electricity production. Nonlinear constraints are incorporated via
Lagrangian terms. We present results that guide the applied technology
configuration.
4 - Applications of Surrogate-based Optimization
Cameron Turner, Associate Professor Of Mechanical Engineering,
Colorado School of Mines, 1500 Illinois St., Department of
Mechanical Engineering, Golden, CO, 80401,
United States of America,
Many engineering design problems are characterized by nonlinear behaviors,
mixed discrete-continuous variables, multiple objective functions, & uncertain or
limited precision data about the problem. What data that exists is often derived
from empirical measurements, experimental studies, or models & simulations;
each with errors, limited precision & data collection costs. We focus on the use of
the techniques, tradeoffs and decisions necessary to employ surrogates in
optimization.
MD12