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作者： Freire, Roberto Z. Oliveira, Gustavo H. C. Mendes, Nathan Industrial and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Paraná Curitiba/PR - 80215-901 Brazil Thermal Systems Laboratory LST Pontifical Catholic University of Paraná Curitiba/PR - 80215-901 Brazil

ISBN: (纸本)9783902661197

The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as PMV (Predict Mean Vote). In this context, two control algorithms are proposed by using only-one-actuator system associated to the heating system. The methods are based on the model predictive control scheme and on the improvement of the PMV index together with energy minimization. Simulation results - obtained by using the weather data file for the city of Curitiba, Brazil - for two case studies: i ) variations between low and moderate occupants metabolic rates and ii) variations between moderate and high occupants metabolic rates are presented to validate the proposed methodology in terms of room air temperature, relative humidity and PMV control. Copyright © 2006 IFAC.

关键词： Thermal comfort

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Optimization and analysis of variability in injection molding

Optimization and analysis of variability in injection moldin...

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Society of Plastics Engineers Annual Technical Conference 2006, ANTEC 2006

作者： Castro, Carlos E. Ríos, Mauricio Cabrera Lilly, Blaine Castro, José M. Dept. of Industrial Welding and Systems Engineering Ohio State University Columbus OH 43202 United States Graduate Program in Systems Engineering Universidad Autónoma de Nuevo León Sn. Nicolás de los Garza Nuevo León Mexico

Injection Molding (IM) is the most important process for mass-producing plastic products. The difficulty of optimizing an IM process is that the performance measures (PMs), usually show conflicting behavior. The aim of this work is to demonstrate a method utilizing CAE, statistical testing, artificial neural networks (ANNs), and data envelopment analysis (DEA) to find the best compromises between multiple PMs and their variability. Two case studies are presented. A case study based on a virtual part is presented in detail in order to illustrate this method. The second case study is experimentally based, using the American Society of Testing Materials (ASTM) mold, to illustrate how this approach applies when only experimental results are available.

关键词： Injection molding

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NON-LINEAR PREDICTIVE CONTROLLERS FOR THERMAL COMFORT OPTIMIZATION AND ENERGY SAVING

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IFAC Proceedings Volumes 2006年第19期39卷 87-92页

作者： Roberto Z. Freire Gustavo H.C. Oliveira Nathan Mendes Industrial and Systems Engineering Graduate Program - PPGEPS Thermal Systems Laboratory - LST Pontifical Catholic University of Parana Curitiba/PR/Brazil - Zip Code 80215-901

关键词： predictive control thermal comfort heating systems non-linear control

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Optimization and analysis of variability in high precision injection molding

Optimization and analysis of variability in high precision i...

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ASPE Spring Topical Meeting on Precision Micro/Nano Scale Polymer Based Component and Device Fabrication, ASPE 2005

作者： Castro, Carlos E. Lilly, Blaine Castro, José M. Ríos, Mauricio Cabrera Department of Industrial Welding and Systems Engineering Ohio State University Columbus OH 43202 United States Graduate Program in Systems Engineering Universidad Autónoma de Nuevo León San Nicolás de los Garza Nuevo-León 66450 Mexico

ISBN: (纸本)1887706372

Injection Molding (IM) is considered to be the most important process for mass-producing plastic products. One of the biggest challenges facing injection molders is to determine the best settings for the controllable process variables (CPVs). Selecting the proper settings is crucial because the behavior of the polymeric material during shaping is highly influenced by the process variables. The difficulty of optimizing an IM process is that the performance measures (PMs), such as surface quality or cycle time that characterize the adequacy of the part for its intended purpose usually show conflicting behavior. Furthermore, in actual molding, the CPVs will vary over some range during molding. This inconsistency of the process variables will lead to variability in the PMs. In high precision manufacturing, in particular for micro and nano scale components and devices, this variability needs to be minimized, and if possible eliminated. Thus, the variability in the PMs needs to be included in the optimization problem. The aim of this work is to demonstrate a method based on CAE, statistical testing, artificial neural networks (ANNs), and data envelopment analysis (DEA) to find the optimal compromises between multiple PMs and their variability to prescribe the values for the CPVs in IM. We present an example where the optimization is carried out in two phases. Phase one uses the PMs that are significantly affected by the injection gate location in order to prescribe two possible injection gates. Phase two of the optimization uses Data Envelopment Analysis (DEA) to find a PM-based efficient frontier for each injection gate considering process variability. These two efficient frontiers are then compared to select the best location. Other possible applications are discussed.

关键词： Injection molding

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A conceptual model for the creation of supply chain simulation models 05

A conceptual model for the creation of supply chain simulati...

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Simulation Winter Conference

作者： G.E. Vieira O.C. Junior Industrial & Systems Engineering Graduate Program 2 Andar - Bloco 3- Parque Tecnológico Curitiba PR BRAZIL Rio Grande do Sul 199 ap. 23b Curitiba PR BRAZIL

ISBN: (纸本)9780780395190

This paper presents the development of conceptual models that can be used in the creation of certain types of supply chain simulation projects. The supply chain considered is composed of four elements: suppliers, manufacturer, retailers, and the consumer market. The presented ideas can be used in supply chain simulation projects, which objective can be, for instance, to study the bullwhip effect or new collaboration practices. ARENA simulation models using the conceptual models presented are currently under development

关键词： Supply chains Supply chain management Collaboration Manufacturing Costs Marketing and sales Nonlinear distortion Production systems Globalization Technological innovation

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Mixed 2/∞ control for uncertain systems under pole placement constraints using Genetic Algorithms and LMIs

Mixed 2/∞ control for uncertain systems under pole placemen...

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Proceedings of the 2004 IEEE International Symposium on Intelligent Control - 2004 ISIC

作者： Neumann, Donald De Araújo, Humberto X. Industrial and Systems Engineering Graduate Program - PPGEPS Pontifical Catholic University of Paraná PUC-PR Brazil PPGEPS PUC-PR Brazil

This paper is concerned with the mixed 2/ ∞ control problem combined with robust pole placement in linear matrix inequality (LMI) regions. Continuous-time linear systems subject to polytopic parametric uncertainties are studied. Based on Genetic Algorithms (GAs) and LMIs, a hybrid algorithm is presented for numerical computation of a robust fixed-order, static or dynamic, output feedback controller. This approach does not require that all specifications are enforced by a single closed-loop Lyapunov function. This allows to reduce the conservatism of the usual existing methods. In addition, this approach can be used for synthesis for reduced or full order controllers. Examples borrowed from the, literature are discussed to validate this approach. © 2004 IEEE.

关键词： Uncertain systems

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Mixed H/sub 2//H/sub /spl infin// control for uncertain systems under pole placement constraints using genetic algorithms and LMIs

Mixed H/sub 2//H/sub /spl infin// control for uncertain syst...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： D. Neumann H.X. de Araujo Industrial and systems Engineering Pontifical Catholic University of Paraná Brazil Industrial and Systems Engineering Graduate Program PPGEPS at the Pontificai Catholic University of Paraná PUC-PR Brazil The PPGEPS at the PUC-PR Brazil

This work is concerned with the mixed H/sub 2//H/sub /spl infin// control problem combined with robust pole placement in linear matrix inequality (LMI) regions. Continuous-time linear systems subject to polytopic parametric uncertainties are studied. Based on genetic algorithms (GA) and LMI, a hybrid algorithm is presented for numerical computation of a robust fixed-order, static or dynamic, output feedback controller. This approach does not require that all specifications are enforced by a single closed-loop Lyapunov function. This allows to reduce the conservatism of the usual existing methods. In addition, this approach can be used for synthesis for reduced or full order controllers. Examples borrowed from the literature are discussed to validate this approach.

关键词： Control systems Uncertain systems State feedback Genetic algorithms Robust control Output feedback Hydrogen Symmetric matrices Uncertainty Linear matrix inequalities

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ASAP2: an improved batch means procedure for simulation output analysis

ASAP2: an improved batch means procedure for simulation outp...

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Simulation Winter Conference

作者： N.M. Steiger E.K. Lada J.R. Wilson C. Alexopoulos D. Goldsman F. Zouaoui Maine Business School University of Maine Orono ME USA School of Industrial & Systems Engineering Georgia Institute of Technology Atlanta GA USA Graduate Program in Operations Research Department of Industrial Engineering North Carolina State University Raleigh NC USA Research Group Sabre Inc. Southlake TX USA

We introduce ASAP2, an improved variant of the batch-means algorithm ASAP for steady-state simulation output analysis. ASAP2 operates as follows: the batch size is progressively increased until the batch means pass the Shapiro-Wilk test for multivariate normality; and then ASAP2 delivers a correlation-adjusted confidence interval. The latter adjustment is based on an inverted Cornish-Fisher expansion for the classical batch means t-ratio, where the terms of the expansion are estimated via a first-order autoregressive time series model of the batch means. ASAP2 is a sequential procedure designed to deliver a confidence interval that satisfies a prespecified absolute or relative precision requirement. When used in this way, ASAP2 compares favorably to ASAP and the well-known procedures ABATCH and LBATCH with respect to close conformance to the precision requirement as well as coverage probability and mean and variance of the half-length of the final confidence interval.

关键词： Analytical models Modeling Steady-state Operations research industrial engineering systems engineering and theory Algorithm design and analysis Testing Liver Discrete event simulation

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Survey of reduced workload and crewing strategies for ocean patrol vessels

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NAVAL ENGINEERS JOURNAL 2001年第2期113卷 29-44页

作者： Baker, C Krull, R Snyder, G Lincoln, W Malone, TB Clifford C. Baker CIE CHFEP is a senior staff scientist at Carlow International Incorporated. He has applied most of his 24 years of experience in the application of human engineering technology to maritime systems. Mr. Baker has directed much of Carlow's efforts to reduce ship workload and to improve human performance and maritime safety through application of human factors methods and data. He is a Certified Industrial Ergonomist (CIE) as well as a Certified Human Factors Engineering Professional (CHFEP). Both certifications were granted by Oxford Research where Mr. Baker also serves as an Advisory Board member. Russell D. Krull P.E. is a senior engineer with A&T/Proteus Engineering with more than 18 years of experi-ence in marine engineering naval architecture and program management including 16 years of active duty in the U.S. Coast Guard. Recent experience includes advanced ship design studies engineering software development technical support for the USMC Advanced Amphibious Assault Vehicle propulsion systems analyses ship structural engineering and cargo handling systems engineering. Mr. Krull has an M.S.E. in naval architecture and marine engineering and an M.S.E. in industrial and operations engineering from University of Michigan and a B.S. in ocean engineering from the U.S. Coast Guard Academy. Capt. Glenn L. Snyder USCG. Regrettably since this paper was originally written Capt. Snyder has passed away. At the time of his death he was an operations specialist assigned to the Coast Guard's Deepwater Capabilities Replacement Project as Chief of Human Systems Integration. He served as commanding officer of the patrol boat Cape George (WPB-95306) the icebreaking tug Biscayne Bay (WTGB-104) and the cutter Legare (WMEC-911). A 1975 graduate of the U.S. Coast Guard Academy Capt. Snyder held an M.A. in national security and strategic studies from the U.S. Naval War College and an M.A. in international relations from Salve Regina College. In addition he was a 1998 fellow of the Foreign Service

The U.S. Coast Guard is in the concept exploration phase of its Integrated Deepwater System (IDS) acquisition project. This project will define the next generation of surface, air and command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) assets used to perform the Coast Guard's missions in the IDS environment (>50 NM off the U. S. coastline). As part of early technology investigations, the needs exist to: (1) analyze the workload requirements of the IDS, (2) identify alternative means to perform ship's work, and (3) optimize ship manning consistent with ship workload, performance criteria, and the available tools and equipment aboard. To reduce shipboard work requires an understanding of the mission and support requirements placed on the vessel and crew, how these requirements are currently met, and how requirements might otherwise be met to reduce workload and crew size. This study examined currently implemented workload and manpower reducing approaches of commercial maritime fleets, U.S. and foreign navies, and foreign coastguards. These approaches were analyzed according to evaluation criteria approved by the IDS acquisition project team. From this, strategies for shipboard work reduction that may be considered for adoption by the IDS were identified and analyzed according to performance and costs factors. Ten workload-reducing strategies were identified: damage control, bridge, multiple crewing, engineering, risk acceptance, modularity, deck, enabling technologies, ship/personnel readiness, and operability and maintainability.

关键词： Naval vessels

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Analyzing transformation-based simulation metamodels

Analyzing transformation-based simulation metamodels

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Simulation Winter Conference

作者： M.A. Irizarry M.E. Kuhl E.K. Lada S. Subramanian J.R. Wilson Dept. of Ind. Eng. Puerto Rico Univ. Mayaguez Puerto Rico Department of Industrial and Manufacturing Systems Engineering Louisiana State University Baton Rouge LA USA Graduate Program in Operations Research Integrated Manufacturing Systems Engineering Institute Department of Industrial Engineering North Carolina State University Raleigh NC USA

We present a technique for analyzing a simulation metamodel that has been constructed using a variance-stabilizing transformation. To compute a valid confidence interval for the expected value of the original simulation response at a selected factor-level combination (design point), we first compute the corresponding confidence interval for the transformed response at that factor-level combination and then untransform the endpoints of the resulting confidence interval. Taking the midpoint of the untransformed confidence interval as our point estimator of the expected simulation response at the selected factor-level combination and approximating the variance of this point estimator via the delta method, we formulate an approximate two-sample student t-test for validating our metamodel-based estimator versus the results of making independent runs of the simulation at the selected factor-level combination. We illustrate this technique in a case study involving the design of a manufacturing cell, and we compare our results with those of a more conventional approach to analyzing transformed-based simulation metamodels. A Monte Carlo performance evaluation shows that significantly better confidence-interval coverage is maintained with the proposed procedure over a wide range of values for the residual variance of the transformed metamodel.

关键词： Analytical models Computational modeling Virtual manufacturing industrial engineering systems engineering and theory Design optimization Printed circuits Cost function Preventive maintenance Manufacturing industries

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