Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models, inventory models, financial engineering models, reliability models, and simulation models. This book contains a collection of peer-reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (2007 RASOR Nanzan) held on March 5OCo6, 2007, at Nanzan University, Nagoya, Japan. It enables advanced readers to understand the recent topics and results in stochastic operations research.

Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25-26, 2005, Canmore, Alberta, Canada. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models.

The 2006 Asian International Workshop on Advanced Reliability Modeling (AIWARM) is the second symposium in a series of biennial workshops for the dissemination of state-of-art research and the presentation of practice in reliability and maintenance engineering in Asia. It brings together researchers and engineers from not only Asian countries but also all over world to discuss the state of research and practice in dealing with both reliability issues at the system design phase and maintenance issues at the system operation phase. The theme of AIWARM 2006 is OC reliability testing and improvementOCO. The contributions in this volume cover all the main topics in reliability and maintenance engineering, providing an in-depth presentation of theory and practice. Sample Chapter(s). Chapter 1: Optimal Burn-In for Minimizing Total Warranty Cost (311 KB). Contents: System and Network Reliability; Optimization in Reliability Engineering; Maintenance; Advanced Warranty Modeling; Software Reliability; Acceleration Testing and Failure Analysis; Statistical Analysis and Reliability Modeling; Stochastic Models; Statistical Quality Control. Readership: Graduate students and researchers and as well as reliability, maintenance and industrial engineers."

In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.

This contributed volume aims to provide latest updates in the area of bioenergy including biodiesel, bioethanol, biomethanation, biomass gasification, and biomass cook-stove. The proceedings of ICRABR 2015 include cutting edge research vital to R&D organizations, academics, and the industry to promote and document the recent developments in the area of bioenergy for all types of stakeholders. The volume highlights the needs of biofuels and their market, the barriers and challenges faced by biofuels and bioenergy and future strategies required to foster new ideas for research, collaboration and commercialization of bioenergy. The major themes of this contributed volume are: Biomass and Energy Management ;Thermochemical Conversion Processes; Biochemical Conversion Processes; Catalytic Conversion Processes; Electrochemical Processes; Waste Treatment to Harvest Energy; and Integrated Processes. The contents of the volume will appeal to students, researchers, professionals, and policymakers in the field of bifuels and bioenergy.

Reliability theory is a major concern for engineers and managers engaged in making high quality products and designing highly reliable systems. “Advanced Reliability Models and Maintenance Policies” is a survey of new research topics in reliability theory and optimization techniques in reliability engineering. The book introduces partition and redundant problems within reliability models, and provides optimization techniques. The book also indicates how to perform maintenance in a finite time span and at failure detection, and to apply recovery techniques for computer systems. New themes such as reliability complexity and service reliability in reliability theory are theoretically proposed, and optimization problems in management science using reliability techniques are presented. The book is an essential guide for graduate students and researchers in reliability theory, and a valuable reference for reliability engineers engaged both in maintenance work and in management and computer systems.

Aims to survey research topics in reliability theory and useful applied techniques in reliability engineering. This book focuses on how to apply the results of reliability theory to practical models. Theoretical results of coherent, inspection, and damage systems are summarized methodically, using the techniques of stochastic processes.