Informs 2015

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INFORMS Philadelphia – 2015
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2 - Bundling and Pricing Truckload and Less-than-truckload Services
with Stochastic Demand
Rodrigo Mesa Arango, Assistant Professor, Florida Institute of
Technology, 150 W. University Blvd, Melbourne, FL, 32901,
United States of America, , Satish V.
Ukkusuri
Algorithms to bundle and price Truckload (TL) and Less-than-truckload (LTL)
services are proposed considering stochastic demand, value-based pricing, and
demand segmentation. A two-stage min-cost flow problem accounts for uncertain
demand. Its deterministic equivalent is formulated as a regular min-cost flow
problem and efficiently solved. Deterministic models overestimate benefits.
Numerical experiments reveal the cost of uncertainty and demonstrate
improvements in bundle quality.
3 - Stochastic Models for Optimal Reusable Pallets Management
and Sustainable Supply Chain Configuration
Xiangxiang Fan, Huazhong University of Science and Technology,
Wuhan, China, , Yeming Gong,
Xianhao Xu
This paper compares the impact of supply chain configuration and operating rules
on the management of reusable pallets in closed-loop supply chains. We evaluate
how pallet management strategy could affect the whole performance of a supply
chain in terms of minimizing the number of pallets and the cycle time and
propose semi-open queuing network models to analysis four different alternatives
which could provide an effective tool for optimal pallet management.
4 - Iterative Mechanisms for Shippers’ Collaboration in Production-
Shipping Schedule Planning
Minghui Lai, Assistant Professor, Southeast University, Economics
and Management Building, Jiulonghu Campus, Nanjing City,
China,
We study the collaborative distribution problem of the shippers with sensitive
private information. We propose iterative mechanisms that are convergent,
strategy-proof, individually rational, and budget balanced in most cases. The
mechanisms are implemented by efficiently computable distributive algorithms.
Extensive simulations show that the mechanisms converges fast and have high
efficiency.
5 - Dynamic Capacitated Intermodal Terminal Location Problem
Fateme Fotuhiardakani, Data Scientist, TMW Systems, 6085
Parkland Blvd, Mayfield Heights, OH, 44124, United States of
America, Nathan Huynh
In this paper we introduce a dynamic intermodal terminal location problem
which intends to locate new intermodal terminals to dynamically meet
fluctuations in customers’ demands. The planning horizon is partitioned into
multiple consecutive time periods with a given budget for network configuration
in each time period. A lagrangian relaxation approach embedded with a heuristic
algorithm for upper bound computation is developed to solve this NP-hard
problem.
TC78
78-Room 301, CC
Optimization of Energy Systems
Contributed Session
Chair: Florian Perrotton, IFP Energies Nouvelles & GDF Suez, 228-232
avenue NapolÈon Bonaparte, Rueil-Malmaison, France,
1 - Distributed Algorithms for the DC-OPF Problem
Hesam Ahmadi, Student, Pennsylvania State University, 107
Holerman Hall, University Park, PA, 16802, United States of
America, Uday Shanbhag
In this talk, an ADMM-based distributed algorithm is presented for the solution of
the Direct Current Optimal Power Flow (DC-OPF) problem. We consider a dual
formulation that respects privacy concerns and leverage the structure to develop a
distributed scheme. We show that the resulting sequence of primal and dual
iterates is provably convergent. Preliminary numerics are provided.
2 - What Short-term Market Design for Efficient Flexibility
Management in Gas Systems?
Florian Perrotton, IFP Energies Nouvelles / GDF SUEZ /
Université Paris Ouest Nanterre, 7 Rue de Rochechouart, Paris,
75009, France,
With the increase of electric intermittent renewables, often backed-up by CCGTs,
variability has been transferred to the gas network. Balancing the network has
become a technical and economic issue. Applied to gas systems, market designs
similar to locational marginal pricing might improve the situation. However, in
such markets, flexibility can be handled in different ways. Using a linearized
transient model of the gas network (LP), we analyze the efficiency of two
different auction designs.
3 - Optimal Decision Support System for Large Scale Energy
Management in Smart Grid
Sunil Vuppala, IIITB, Electronics City, Bangalore, India,
, Prasanna Gns
We propose a decision support system with modeling methodologies to handle
large scale energy management problems in smart grid. The convexified model is
solved in rolling horizon approach using solvers (Cplex) both at consumer and
utility levels. The systems comes with heuristic for quick run times. We analyze
the stability and accuracy of the system for millions of users with sensitivity
analysis. The results indicate that our system is beneficial to both consumers and
utility companies.
4 - Asset Management Strategies for Wind Turbines
Suna Cinar, Wichita State University, 1845 Fairmount Street,
Wichita, KS, 67260, United States of America,
Bayram Yildirim
The decision to retrofit or keep an aged Wind Turbine (WT) can be a difficult
decision. Based on existing operation and maintenance cost or budget allocated,
one can either retrofit a WT or maintained the existing WT with a preventive
maintenance.The difficult question is which of these options is superior. In this
study, a mixed integer linear programming (MILP) modelling approach is
proposed to determine the trade-off between these two options.
TC79
79-Room 302, CC
Software Demonstration
Cluster: Software Demonstrations
Invited Session
1 - Syncopation Software - DPL Portfolio and DPMXTM : A Decision
Analysis based System for Better Portfolio Decisions
Chris Dalton, Syncopation Software, 6 State Street, Suite 308,
Bangor, ME, 04401, United States of America,
This demonstration will show how the DPMXô System can serve as the analytical
backbone for an effective portfolio analysis process. We’ll start with an overview
of DPL Professional, a proven modelling environment for decision analysis, risk
analysis and Monte Carlo simulation. Next, we’ll cover DPL Portfolio, the
modelling environment for portfolio analysis, visualization and prioritization.
Finally we’ll show DPMX, a web-based based system for managing project data
and presenting portfolio results in attractive, management-friendly charts. The
motivating examples will be drawn from the prioritization of an R&D portfolio in
the pharmaceutical industry.
2 - Frontline Systems, Inc. – Analytic Solver® Platform: Integrated
Data Mining, Simulation and Optimization in Microsoft Excel
Frontline Systems
Analytic Solver Platform in Microsoft Excel has everything you need for
forecasting and data mining, Monte Carlo simulation and risk analysis,
conventional and stochastic optimization – with data from Apache Spark and
visualization of results in Excel, Tableau and Power BI. See how you can use it to
build your own analytic expertise and teach others, leveraging what you already
know, build and solve industrial-scale models with the world’s best Solvers, and
effectively communicate business results.
TC79