2015 Informs Annual Meeting

TC79

INFORMS Philadelphia – 2015

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, rmesaara@purdue.edu, 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, goodman432700@163.com, 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, laimh@seu.edu.cn 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, fateme.fotuhi@gmail.com, 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, florianperrotton@gmail.com 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, ahmadi.hesam@gmail.com, 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, florian.perrotton@gmail.com 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, sunil.vuppala@iiitb.ac.in, 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, sxcinar@wichita.edu, 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. Software Demonstration Cluster: Software Demonstrations Invited Session 1 - Syncopation Software - DPL Portfolio and DPMX TM : 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, cdalton@syncopation.com 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 79-Room 302, CC

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