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Simulation Winter Conference

作者： S. Morito J. Koida T. Iwama M. Sato Y. Tamura Department of Industrial and Management Systems Engineering Waseda University Shinju Tokyo Japan Technology Development Research Cente Institute for Posts and Telecommunications Policy Ministry of Posts and Telecommunications Minato Tokyo Japan

We present a general framework for a combined optimization/simulation approach where constraints to be satisfied are identified from results of simulation evaluation of the proposed system alternative, and then these constraints are added to the optimization model for re-optimization. The proposed cutting-plane-like procedure is iterative and terminates when an "optimal" solution of a mathematical program is obtained which passes all conditions of performance criteria set for simulation evaluation. A case of the real large-scale logistic system design is taken as an example, and the proposed approach is shown to work efficiently for the case, and looks promising for other problems, especially in the field of logistics and scheduling.

关键词： Constraint optimization Design optimization Logistics Mathematical programming Computational modeling Large-scale systems Discrete event simulation engineering management Design engineering systems engineering and theory

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A meta-heuristic satisfying tradeoff method for solving multiobjective combinatorial optimization problems-with application to flowshop scheduling

A meta-heuristic satisfying tradeoff method for solving mult...

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IEEE International Conference on systems, Man and Cybernetics

作者： I. Tamura T. Shibata S. Tomiyama I. Hatono Department of Systems and Human Science Graduate School of Engineering Science Osaka University Toyonaka Osaka Japan Murata Corporation Yasu Shiga Japan N K K Corporation Kawasaki Japan Kobe University Kobe Japan

In this paper an effective meta-heuristic approach is proposed to realize a satisfying tradeoff method for solving multiobjective combinatorial optimization problems. Firstly, Pareto optimal solutions (individuals) are generated by using a genetic algorithm with the family elitist concept for a multiobjective combinatorial optimization problem. Then, we try to find a preferred solution of the decision maker based on the satisfying tradeoff method. In this paper a new meta-heuristic satisfying tradeoff method is proposed in which we do not need to solve a complex min-max problem in each iteration, but we try to find a min-max solution in the Pareto optimal solutions (individuals) generated by the genetic algorithm. We further revise the min-max solution by using a local search approach such as a simulated annealing method. As a numerical example a flowshop scheduling problem is included to verify the effectiveness of the method proposed in this paper.

关键词： Optimization methods Scheduling Genetic algorithms Pareto optimization Simulated annealing Humans Production management Performance evaluation

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Probabilistic risk analysis of diesel power generators onboard ships

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 35-58页

作者： Ayyub, BM Karaszewski, ZJ Wade, M Bilal M. Ayyub.:is a Professor of Civil Enginnering and the Director of the Center for Technology and Systems Management at the University of Maryland (College Park). He is also a researcher and consultant in the areas of structural engineering inspection methods and practices reliability and risk analysis. He completed his B.S. degree in civil engineering in 1980 and completed both the M.S. (1981) and Ph.D. (1983) in civil engineering at the Georgia Institute of Technology. Dr. Ayyub has an extensive background in uncertainty modeling and marine structural reliability marine structures uncertainty modeling and anaylsis and mathematical medeling using the theories of probability statistics and fuzzy sets. He has completed several research projects that were funded by the NSF USCG USN the USACE ASME and several engineering companies. Dr. Ayyub served the engineering community in various capacities through societies that include ASNE ASCE ASME SNAME IEEECS and NAFIPS. He is the authour and co-author of about 250 publications in journals and conference proceedings and reports. His publications include edited books textbooks and book chapters. Dr. Ayyub is the only double recipient of the ASNE “Jimmie” Hamilton Award for the best papers in the Naval Engineers Journal in 1985 and 1992. Also he received the ASCE “Outstanding Research Oriented Paper” in the Journal of Walter L. Huber Research Prize in 1997 and the K.S. Fu Award of NAFIPS in 1995. He is a registered Professional Engineer (PE) with the State of Maryland. Zbigniew J. Karaszewski:is the Associate Director of the University of Maryland's Center for Technology and Systems Management and technical director of the Center for Maritime Leadership. He is a Systems Engineering and Management Consultant specializing in life cycle system support business systems auditing and risk management and loss prevention. Mr. Karasezewski has 30 years of experience in the field of systems performance analysis and management as a practitioner and teacher

In this paper, a methodology and guidelines for applying risk methods in design and operation of maritime systems were developed and demonstrated using a case study of marine diesel generators. The methodology consists of several modules that include system definition based on functional and performance requirements, definition of dependencies among subsystems, data collection and reduction, reliability and risk analyses, and results reduction for use in decision analysis. The methodology was used to assess and analyze typical service diesel generators found onboard ships. The analysis included the generation of cut sets for the overall reliability of the system. The most likely failure scenarios were determined by demonstration as the failure of fuel supply components. The results are consistent with previous findings of the U.S. Coast Guard.

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The Deepwater Project - A sea of change for the USCoast Guard

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 125-131页

作者： Anderson, M Burton, D Palmquist, MS Watson, JM Lieutenant Commander Michael Anderson:serves as the Communications Director for the Coast Guard's Deepwater Project. He has an extensive background in electronic systems with previous work experience including–lead electronics design engineer for the Coast Guard's new HEALY icebreaker supervisor of west coast shipboard electronics projects and Commanding Officer of a regional electronics support command. LCdr. Anderson holds a BS degree in electrical engineering from the Coast Guard Academy MS degrees in electrical engineering and engineering management from Northeastern University and recently received an MS in the management of technology from MIT. Diane Burton:is Surface Technical Director for the U.S. Coast Guard Deepwater Project. Previously she worked as a senior Naval architect in the Hull Form and Hydrodynamics Division of the Naval Sea Systems Command. She has worked for several years on the hydrodynamics of a variety of ship classes with the U.S. Navy U.S. Coast Guard and NOAA. She was responsible for surface ship developments and small combatant stability updates which include the following tasks: Hull Form Design System (HFDS) upgrades Integrated Computation Design Environment Database development for NAVSEA's Hydrodynamics/Hydroacoustics Technology Center Cooperative Research Navies international program for the development for dynamic stability criteria and FFG/DDG class stability. She has a BSE and MSE from the University of Michigan in naval architecture and marine engineering and is presently pursuing a masters of engineering management from George Washington University specializing in systems engineering technology insertion and project management. Commander M. Steven Palmquist:is the Deepwater Project's Assistant Project Manager for C4ISR. A Registered Prokssional Engineer he received an MSEE from the Naval Postgraduate School in 1988. He did undergraduate work in naval architecture at the University of Michigan and is also a graduate of the National Test Pilot School's Avionics Tes

The United States Coast Guard has embarked on the most ambitious modernization and recapitalization project in the service's history. The Deepwater Capabilities Replacement Project, which is simply referred to as Deepwater, is unique in that it comprises the acquisition of an entire integrated "System-of-systems'': surface, air, (CISR)-I-4 (command, control, communications, computers, information, surveillance & reconnaissance), and logistics facilities. This "System of systems" approach will enable the Coast Guard to acquire the optimal mix of fully supportable assets, to effectively and efficiently perform all of its Deepwater missions well into the next century.

关键词： Naval warfare

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Communication support system for operators in emergency of large‐scale plant

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Human Factors and Ergonomics in Manufacturing & Service Industries 1999年第4期9卷

作者： Takashi Koiso Shogo Nishida Department of Systems and Human Science Graduate School of Engineering Science Osaka University 1–3 Machikaneyama‐cho Toyonaka Osaka 560–8531 Japan

It is very important to support communications among operators in the emergency of large‐scale plants. This paper deals with a communication support system for emergent situations in a hierarchical management structure for large‐scale plants. Our system is based on the communication model that considers human‐related factors such as “competence,” “duty,” “responsibility,” and “knowledge.” A prototype of a group communication support system is developed based on the model, and the system is evaluated for a plant example. © 1999 John Wiley & Sons, Inc.

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Modelling combat system manning and manpower reduction

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 153-171页

作者： Roos, CH Carl H. Roos:is a Senior Engineer with Logicon-Syscon. A graduate of the University of Pittsburgh with a BSEE degree he has over 35 years experience in functional operational combat system fire control interface and computer program design. As technology changed and the combat system was upgraded Mr. Roos maintained his level of technical expertise by taking graduate-level courses in computer science modelling & structured analysis networking & fiber optics. He has worked in various capacities on the LHD LHA DDG 993 DD 963 LPD 17 LCC LPD 13 CGN 38 CGN 9 CG 26 and the DDG Class Combat Systems. In recent years Mr. Roos has been responsible for managing directing and performing engineering design and analysis efforts associated with Battle Management Organization (BMO) functional analysis and operational analysis. These efforts were used in defining combat system operational requirements shipboard space requirements and integration requirements. His paper “Configuration Management of Digital Programs” was published at the 1972 IEEE Southeastern Conrence.

NAVSEA 03K41 is responsible for generating Combat System Rattle management Organizations (BMO) and Functional Flow Diagrams (FFD). Several years ago, NAVSEA provided the resources to conduct a functional analysis that would support the development and validation of the BMOs and FFDs. The major obstacle in performing the analysis was obtaining a consensus on how the functional hierarchy was to be structured. The non-optimum organization of the hierarchy was selected;as a result, the functions were difficult to define, find, use, and validate. Recognizing the shortcomings of this effort, research was conducted to evaluate state-of-the-art structured modelling techniques, concepts, and methodologies. Two modelling concepts by James Martin were found to be applicable for the combat system functional analysis: Enterprise Modelling Concept and Functional Decomposition Modelling Concept. The Structure Modelling definitions of Whitten, Bently, and Barlow provided the guidelines for using the Martin concepts. During the ensuing BMO and FFD development efforts, a Ship's Combat System (SCS) Modelling concept evolved and a SCS Model was developed. This paper addresses how the modelling concepts and tools are used in the BMO and FFD development and validation process. Data from the SCS Model provides the basis for defining combat system requirements (e.g., software, data display, database, networking, etc.).

关键词： Naval vessels

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Genetic algorithms in the design of complex distribution networks

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International Journal of Physical Distribution & Logistics management 1998年第5期28卷 377-381页

作者： Berry, L.M. Murtagh, B.A. Mcmahon, G.B. Sugden, S.J. Welling, L.D. Department of Computer Systems Engineering RMIT Melbourne Australia Macquarie Graduate School of Management Sydney Australia Bond University Gold Coast Australia

Reviews the value of network concepts as a means of portraying complex logistics and distribution systems. Reports on research which focuses on the broader issues of model formulation and solution techniques rather than specific applications. Addresses the issues of designing networks with a tree structure, and also more general ones in which loops are allowed and redundancy enforced. The decision variables involved are related to whether or not a link should exist between two specific pairs of nodes, and then what should be the level of traffic flow on that particular link. Describes the design problem in detail and possible models that could be used to represent it. Follows with a description of genetic algorithms to solve the synthesis problem of deciding the node‐link topology, and the use of linear and non‐linear programming to solve the problem of assigning traffic flow to a network with a given typology in a least‐cost manner. Concludes with a description of computational experience with solving such problems.

关键词： Algorithms Distribution requirements planning Distribution systems Optimization Problem solving

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Development of a compact single ion irradiation system

Development of a compact single ion irradiation system

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： T. Iida T. Tanaka F. Sato Y. Tanimura Department of Electronic Information Systems and Energy Engineering Graduate School of Engineering Osaka University Suita Osaka Japan

A compact single ion irradiation system has been developed to examine energetic particle effects on materials and devices. The system has been constructed by use of commercially available and inexpensive standard components and can be easily recomposed according to beam requirements for various irradiation experiments. The beam adjustment was automatically performed in obedience to a computer program based on a modified SIMPLEX method. The beam performances of the system, i.e., pulse width, the number of ions included in one pulse and beam size were examined by use of a microchannel plate, a SI-SSD, a CCD image sensor and a CR-39 track detector, respectively. A beam of a single ion, 1 nsec in pulse width and several /spl mu/m in diameter has been successfully produced by this system.

关键词： Structural beams Neutrons Electrodes Space vector pulse width modulation Particle beams Acceleration Power engineering and energy Biological materials Biomedical materials Semiconductor materials

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CVN 68 class solid waste flow analysis

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 73-87页

作者： Markle, SP Gill, SE LCdr. Stephen P. Markely USN:is a career Engineering Duty Oficer assigned to Naval Sea Systems Command Arlington VA where he is Deputy Directol Environmental Protection Systems Division (SEA 03 LIB). He is responsible for Program Management activities associated with all afloat environmental protection equipment and serves on several teams designed to promote Navy wide awareraess of environmental protection requirements and Navy programs to meet these challenges. He is a 1993 graduate of the Naval Construction and Engineering Program at the Massachusetts Institute of Zchmlogy where he received a Naval Engineering Degree and Master of Science in Mechanical Engineering. His interest in environmental issues predates his undergraduate studies at Syracuse UniversitylState University of New York College of Environmental Science and Forestw where he received a Bachelm of Science degree in Forrest Engineering from the School of Environmental and Resource Engineeriw. LCdr Markle has qualified as a Surface Warfare Oficer and in submarines through Engineering Duty Dolphin Program. He is a Professional Engineer registered in the State of New York and is a member ofASNE NSPE ASTM SNAME and SAE. Sean G. Gill:is a Senior Engineer with GEO-CENTERS incorporated in Pittsburgh PA where he provides technical and administrative support to the Naval Sea Systems Command (SEA 03L1) and the Carderock Division of the Naval Surfme Waflare Center (Code a) principal& on the shipboard and submarine solid waste management programs. Prior to joining GEO-CENTERS incorporated in 1996 he worked for eleven years at the Carderock Division of the Naval Surfme Warfare Center as a project engineer and a Branch Head. In the former capacity Mr Gill participated in various blackwatel gray watel and oily wastewater treatment projects oversaw the development of the Navy Pulper and was Center's technical team leader for the NAVSEA Solid Waste management program. In 1994 he was assigned to be Branch Head of Code 634 the Solid Waste Management

Through a detailed Research and Development program, the U.S. Navy has developed a suite of shipboard solid waste management equipment enabling compliance with federal and international law. Four major equipment types have been developed to outfit twenty-seven classes of naval surface ships. The major equipment types are: Plastic Waste Processor (PWP), Metal/Glass Shredder (MGS), Large Pulper (LP), and Small Pulper (SP). The Navy is aggressively procuring and installing this equipment aboard all ships of FFG 7 Class and larger. A deadline of December 31, 2000 has been set for completion. engineering analysis and held waste generation studies were conducted to select the specific equipment suite and develop alteration documentation for each ship class. Specific factors in this process were: solid waste generation rates, equipment reliability analysis, ship arrangement considerations, daily equipment operation Limits, and shipboard quality of life issues. A solid waste management study was conducted in the fall of 1997 to validate Navy equipment and ship design parameters onboard the USS John C. Stennis (CVN 74). Generation rates for shipboard solid waste were determined for plastic, metal and glass, food, paper, cardboard, fabric and wood. engineering analysis of data allowed a decrease in CVN 68 Class design waste generation rates. engineering analysis enabled a reduction in the number of PWPs and MGSs required, and fewer spaces for efficient operation. Ship arrangement studies were conducted to optimize efficiency and equipment mix of Solid Waste Processing Rooms (SWPRs) relative to waste generation sites. This paper briefly articulates the process followed by the Navy in responding to regulations governing solid waste management in the marine environment. Evidence validating the engineering procedures followed is presented.

关键词： Ship equipment

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Multi-objective optimal design of automotive engineusing genetic algorithm

Multi-objective optimal design of automotive engineusing gen...

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ASME 1998 Design engineering Technical Conferences, DETC 1998

作者： Fujita, Kikuo Hirokawa, Noriyasu Akagi, Shinsuke Kitamura, Shinji Yokohata, Hideaki Department of Computer-Controlled Mechanical Systems Graduate School of Engineering Osaka University Suita Osaka565-0871 Japan Powertrain Development Department Mazda Motor Corporation Fuchu-cho Aki-gun Hiroshima730-8670 Japan

ISBN: (纸本)9780791880326

A genetic algorithm based optimization method is proposedfor a multi-objective design problem of an automotive engine,that includes several difficulties in practical engineeringoptimization problems. While various optimization techniqueshave been applied to engineering design problems, a class ofrealistic engineering design problems face on a mixture ofdifferent optimization difficulties, such as the rugged natureof system response, the numbers of design variables andobjectives, etc. In order to overcome such a situation, this paperproposes a genetic algorithm based multi-objective optimizationmethod, that introduces Pareto-optimality based fitness function,similarity based selection and direct real number crossover. Thisoptimization method is also applied to the design problem of anautomotive engine with the design criteria on a total power *** computational examples show the ability of the proposedmethod for finding a relevant set of Pareto optima. © 1998 by ASME.

关键词： Genetic algorithms

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