Faulin / Juan / Martorell Alsina Simulation Methods for Reliability and Availability of Complex Systems

1. Auflage 2010
ISBN: 978-1-84882-213-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 316 Seiten

Reihe: Springer Series in Reliability Engineering

Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems.

Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.

Zielgruppe

Research

Autoren/Hrsg.

Faulin, Javier

Juan, Angel A.

Martorell Alsina, Sebastián Salvador

Ramirez-Marquez, Jose Emmanuel

Emmanue, Jose

Inhaltsverzeichnis

Fundamentals of Simulation in Reliability and Availability Issues.- Reliability Estimation by Advanced Monte Carlo Simulation.- Dynamic Fault Tree Analysis: Simulation Approach.- Analysis and Improvements of Path-based Methods for Monte Carlo Reliability Evaluation of Static Models.- Variate Generation in Reliability.- Simulation Applications in Reliability.- Simulation-based Methods for Studying Reliability and Preventive Maintenance of Public Infrastructure.- Reliability Models for Data Integration Systems.- Power Distribution System Reliability Evaluation Using Both Analytical Reliability Network Equivalent Technique and Time-sequential Simulation Approach.- Application of Reliability, Availability, and Maintainability Simulation to Process Industries: a Case Study.- Potential Applications of Discrete-event Simulation and Fuzzy Rule-based Systems to Structural Reliability and Availability.- Simulation Applications in Availability and Maintenance.- Maintenance Manpower Modeling: A Tool for Human Systems Integration Practitioners to Estimate Manpower, Personnel, and Training Requirements.- Application of Monte Carlo Simulation for the Estimation of Production Availability in Offshore Installations.- Simulation of Maintained Multicomponent Systems for Dependability Assessment.- Availability Estimation via Simulation for Optical Wireless Communication.

Leseproben

"Chapter 10 Maintenance Manpower Modeling: A Tool for Human Systems Integration Practitioners to Estimate Manpower, Personnel, and Training Requirements (p. 217-218)

Mala Gosakan and Susan Murray

Abstract This chapter discusses the maintenance manpower modeling capability in the Improved Performance Research Integration Tool (IMPRINT) that supports the Army’s unit of action. IMPRINT has been developed by the US Army Research Laboratory (ARL) Human Research and Engineering Directorate (HRED) in order to support the Army’s need to consider soldiers’ capabilities during the early phases of the weapon system acquisition process. The purpose of IMPRINT modeling is to consider soldiers’ performance as one element of the total system readiness equation. IMPRINT has been available since the mid 1990s, but the newest version includes significant advances.

10.1 Introduction

Even as the far-reaching implications of the next generation of weapons and information systems are being constantly redefined, one piece which has been and will continue to be central to the process is human involvement. The impacts of human performance on system performance are significant.

Human systems integration (HSI) is primarily a concept to focus on the human element in the system design process [18]. The ability thus to include and consider human involvement early in the process of system development cycle will only ease mobilization, readiness, and sustainability of the newly developed system. The Department of Defense therefore has placed increased emphasis on applying HSI concepts to evaluate and improve the performance of complex systems [16].

The US Army was the first large organization to implement HSI approach and reap the benefits of it by creating the Manpower and Personnel IntegrationManagement and Technical Program (MANPRINT) [24, 25]. As stated in the MANPRINT handbook, MANPRINT is a comprehensive management and technical program that focuses on the integration of human considerations (i.e., capabilities and limitations) into the system acquisition process.

The goal of MANPRINT is to enhance soldier-system design, reduce life-cycle ownership costs, and optimize total system performance. To facilitate this, MANPRINT is divided into the following seven domains: manpower, personnel capabilities, training, human factors engineering, system safety, health hazards, and soldier survivability. Themanpower domain focuses on the number of people required and available to operate, maintain, sustain, and provide training for systems.

The domain of personnel addresses the cognitive and physical characteristics and capabilities required to be able to train for, operate, maintain, and sustain materiel and information systems. The training domain is defined as the instruction, education, on-the-job, or selfdevelopment training required providing all personnel and units with essential job skills, and knowledge to effectively operate, deploy/employ, maintain, and support the system."

Über Autor(innen)

Javier Faulin is associate professor of statistics and operations research at the Public University of Navarra, Navarra, Spain. He is also a mentor and professor of operations research for the Spanish Open University (UNED), Madrid, Spain.

Dr Faulin has been a visiting professor at the University of Sabana, Bogotá, Colombia, and the University of Montreal, Montreal, Canada, and a visiting scholar at the University of Cincinnati, Ohio, USA, and University College of Business, Dublin, Ireland. He also spent three years at the University of Surrey, Guildford, UK, as associate lecturer in decision making in business, and in 2007 and 2008 was a professeur invité at the Université de Rennes, Rennes, France.

Angel A. Juan is an associate professor of simulation and data analysis at the Open University of Catalonia. He is also a lecturer of statistics at the Technical University of Catalonia.

Dr Juan has also been a teacher of mathematics and statistics at Elian's Boston School, Boston, USA; an assistant professor of mathematics at the University of Alicante, Alicante, Spain; a teacher of mathematics and computer science for the Catalan government's Department of Education; assistant professor of applied statistics, simulation of computer networks and mathematics at the Open University of Catalonia, Barcelona, Spain; and a teacher of programming languages, computer networks and database management systems for the Catalan government's Department of Education.

Sebastián Martorell is associate professor in nuclear engineering and director of the Department of Chemical and Nuclear Engineering at the Universidad Politécnica de Valencia, from which he also received his MSc and PhD.

Dr Martorell is vice-chairman of the European Safety and Reliability Association (ESRA). He is also a member of the editorial board of the European Journal of Industrial Engineering.

Jose Emmanuel Ramirez-Marquez is assistantprofessor at the Stevens Institute of Technology, Hoboken, USA. He is also director of the Quality Control and Reliability Engineering Division Board for the Institute of Industrial Engineers.

Prior to receiving his PhD in 2004, Dr Ramirez-Marquez was an area officer for the Secretaria de Hacienda y Credito Publico Servicio de Administracion Tributaria, Ciudad de Mexico, Mexico, and a graduate assistant at Rutgers, New Brunswick, USA.