Informs 2015

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INFORMS Philadelphia – 2015
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3 - Time Series Forecasting for Nonlinear and Non-stationary
Processes: A Review and Comparative Study
Changqing Cheng, USF, 4202 E. Fowler Avenue, Tampa, FL,
United States of America, , Hui
Yang, Zhenyu Kong, Satish Bukkapatnam
Forecasting of time series data is critical for the monitoring of complex systems.
This article presents a review of nonlinear and non-stationary time series
forecasting models and a comparison of their performances in certain real-world
applications. Conventional approaches do not adequately capture the system
evolution, from the standpoint of forecasting accuracy, computational effort, and
sensitivity to quantity and quality of a priori information in these applications.
SD73
73-Room 203B, CC
Multicriteria and Multiobjective Models in Risk,
Reliability and Maintenance
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Adiel De Almeida Filho, Assistant Professor, Universidade
Federal de Pernambuco, Caixa Postal 7471, Recife, PE, 50630-971,
Brazil,
Co-Chair: Adiel T De Almeida, Professor, Universidade Federal de
Pernambuco, Caixa Postal 7462, Recife, PE, 50630-971, Brazil,
1 - Multicriteria and Multiobjective Models for Risk, Reliability and
Maintenance Decision Analysis
Adiel T De Almeida, Professor, Universidade Federal de
Pernambuco, Caixa Postal 7462, Recife, PE, 50630-971, Brazil,
Adiel De Almeida Filho,
Marcelo H Alencar, Rodrigo J P Ferreira
Many decisions on Risk, Reliability and Maintenance (RRM) problems involve
multiple objectives and multicriteria methods (MCDM). RRM decision problems
may affect strategic results of organizations, human life (e.g. safety) and the
environment, in order to comply with modern society demands. A framework for
structuring MCDM in the RRM context is presented, based on the reference
Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance
Decision Analysis.
2 - Multicriteria and Multiobjective Models on
Maintenance Outsourcing
Adiel De Almeida Filho, Assistant Professor, Universidade Federal
de Pernambuco, Caixa Postal 7471, Recife, PE, 50630-971, Brazil,
, Thalles V Garcez, Adiel T De Almeida
This work presents key aspects of MCDM approaches for decisions on
maintenance outsourcing, which including contract selection and supplier
selection. Given the MCDM nature of maintenance outsourcing, models to
address this problem include maintainability, dependability, quality of repair
besides cost, which are detailed in the reference Multicriteria and Multiobjective
Models for Risk, Reliability and Maintenance Decision Analysis.
3 - Multidimensional Risk Evaluation Based on Multicriteria and
Multiobjective Models
Marcelo H Alencar, Universidade Federal de Pernambuco, Av.
Professor Morais Rego, 1235., Recife, PE, 50670-901, Brazil,
Adiel T De Almeida,
Rodrigo J P Ferreira, Adiel De Almeida Filho, Thalles V Garcez
When considering a multidimensional risk evaluation model a broader view is
enabled by considering financial, environmental and safety aspects
simultaneously. This work presents MCDM approaches in two different contexts:
natural gas pipelines and underground electricity distribution system. These
models are part of the reference Multicriteria and Multiobjective Models for Risk,
Reliability and Maintenance Decision Analysis.
4 - Multicriteria and Multiobjective Models on Preventive and
Condition-based Maintenance
Rodrigo J P Ferreira, Assistant Professor, Universidade Federal de
Pernambuco, Av. Professor Morais Rego, 1235., Recife, PE,
50670-901, Brazil, , Cristiano A,V, Cavalcante,
Adiel T De Almeida, Adiel De Almeida Filho
Classical optimization models consider only the cost optimization for defining the
best time interval for preventive maintenance. This work presents a framework to
support the selection of time interval for equipment preventive maintenance
involving reliability and availability aspects besides cost. A complete framework
for such decisions is presented in the reference Multicriteria and Multiobjective
Models for Risk, Reliability and Maintenance Decision Analysis.
SD74
74-Room 204A, CC
Panel Discussion: Funding Opportunities
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Abhishek Shrivastava, Assistant Professor, FAMU-FSU College of
Engineering, Dept of Industrial & Manufacturing Eng, Tallahassee, FL,
32310, United States of America,
1 - Panel Discussion: Funding Opportunities
Moderator:Abhishek Shrivastava, Assistant Professor, FAMU-FSU
College of Engineering, Dept of Industrial & Manufacturing Eng,
Tallahassee, FL, 32310, United States of America,
, Panelists: Fariba Fahroo, Sylvia Spengler,
Diwakar Gupta
In this panel, program officers from NSF and DARPA will discuss funding
opportunities in their programs. The panelists are Dr. Fariba Fahroo, Dr. Sylvia
Spengler and Dr. Diwakar Gupta.
SD75
75-Room 204B, CC
Software Demonstration
Cluster: Software Demonstrations
Invited Session
1 - IBM -Optimization Group - IBM Decision Optimization for Python
IBM Optimization Group
In this tutorial, you will learn how to use the new CPLEX Modeling API for
Python with standard development tools. You will learn how to install this open
source library, configure your environment to use it and write optimization
models in few minutes. At the end of the session, you will be able to write your
own optimization model and solve them with the free IBM Decision Optimization
offers (either with the DOcloud trial or with the Community Edition of CPLEX
Optimization Studio). The hands-on part of the tutorial requires a 64-bit machine
(Windows, Linux, or Max) and access to wifi, but all participants will be able to
follow along. Follow us on twitter @IBMoptimization.
SD76
76-Room 204C, CC
Emerging Development in Simulation
and Optimization
Sponsor: Simulation
Sponsored Session
Chair: Chun-hung Chen, George Mason University,
4400 University Drive, MS 4A6, SEOR Dept, GMU, Fairfax, VA, 22030,
United States of America,
1 - Slice Sampling Approaches to Stochastic Optimization
John Birge, Professor, University of Chicago Booth School of
Business, 5807 S Woodlawn Ave, Chicago, IL, 60637,
United States of America,
Crude Monte Carlo approaches are often used to approximate stochastic
optimization problems, but such approaches suffer from both high variance and
bias. This presentation will describe the slice sampling approach, which can
significantly reduce variance, and mode identification, which can eliminated bias.
2 - Simulation Analytics
Barry Nelson, Walter P. Murphy Professor, Northwestern
University, Dept. of IEMS, 2145 Sheridan Road, C210, Evanston,
IL, 60208, United States of America, ,
Yujing Lin
The influence of queueing theory on stochastic simulation is substantial,
including simulation’s emphasis on long-run averages of predetermined
performance measures. As a result, the analysis of simulation data and real-world
“big data” are entirely different. In this talk we explore how a data analytics
perspective could significantly change the use of simulation.
SD76