This volume contains a selection of original contributions from internationally reputed scholars in the field of risk management in socio?technical systems with high hazard potential. Its first major section addresses fundamental psychological and socio?technical concepts in the field of risk perception, risk management and learning systems for safety improvement. The second section deals with the variety of procedures for system safety analysis. It covers strategies of analyzing automation problems and of safety culture as well as the analysis of social dynamics in field settings and of field experiments. Its third part then illustrates the utilization of basic concepts and analytic approaches by way of case studies of designing man?machine systems and in various industrial sectors such as intensive care wards, aviation, offfshore oil drilling and chemical industry. In linking basic theoretical conceptual notions and analytic strategies to detailed case studies in the area of hazardous work organizations the volume differs from and complements more theoretical works such as Human Error (J. Reason, 1990) and more general approaches such as New Technologies and Human Error (J. Rasmussen, K. Duncan, J. Leplat, Eds.)

A selection of papers from scholars in the field of risk management in socio- technical systems with high hazard potential.

Despite its increasing importance, the verification and validation of the human-machine interface is perhaps the most overlooked aspect of system development. Although much has been written about the design and developmentprocess, very little organized information is available on how to verifyand validate highly complex and highly coupled dynamic systems. Inability toevaluate such systems adequately may become the limiting factor in our ability to employ systems that our technology and knowledge allow us to design. This volume, based on a NATO Advanced Science Institute held in 1992, is designed to provide guidance for the verification and validation of all highly complex and coupled systems. Air traffic control isused an an example to ensure that the theory is described in terms that will allow its implementation, but the results can be applied to all complex and coupled systems. The volume presents the knowledge and theory ina format that will allow readers from a wide variety of backgrounds to apply it to the systems for which they are responsible. The emphasis is on domains where significant advances have been made in the methods of identifying potential problems and in new testing methods and tools. Also emphasized are techniques to identify the assumptions on which a system is built and to spot their weaknesses.

There is a growing recognition amongst those involved with the creation and distribution of nuclear power of the value and positive impact of ergonomics, recognition heightened by the realization that safety incidents are rarely the result of purely technical failure. This work provides insights into plant design, performance shaping factors,

The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. The Handbook of Research on Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.

Professionals striving for accident reduction must deal with systems in which both technical and human elements play equal and complementary roles. However, many of the existing techniques in ergonomics and risk management concentrate on plant and technical issues and downplay human factors and "subjectivity." Safety Management: A Qualitative Systems Approach describes a body of theories and data that addresses safety by drawing on systems theory and applied psychology, stressing the importance of human activity within systems. It explains in detail the central roles of social consensus and reliability and the nature of verbal reports and functional discourse. This text presents a new approach to safety management, offering a path to both greater safety and to economic savings. It presents a series of methodological tools that have proven to be reliable through extensive use in the rail and nuclear industries. These methods allow organizational and systems failures to be analyzed much more effectively in terms of quantity, precision, and usefulness. The concepts and tools described in this book are particularly valuable for reliability engineers, risk managers, human factors specialists, and safety managers and professionals in safety-critical organizations.