Effective risk and opportunity management is key to the successful delivery of any major engineering and construction project. This book looks at how all those involved can manage risk and capitalise on the opportunities that uncertainty present. The authors of this book highlight that uncertainties should be managed rather than avoided. This book will look at simple projects with a small team, to megaprojects where some hundreds of people are involved, and the consequences of delays or unforeseen costs. However, while the obvious risks can be planned for, the authors argue that it is often the opportunities in these situations that can have unexploited potential. This book is about opportunity management seen from the owner's perspective. It will be an invaluable resource for those studying Engineering both undergraduate and postgraduate and set out ways in which projects should be managed from planning to completion. This book is also a great tool for those working in project management and the construction industry. While there are many books that demonstrate effective construction management, this book is the first of its kind to emphasise that there is opportunity in uncertainty, and possibility in the unexpected.

Collaboration among industry, universities and research institutes plays a vital role in stimulating open innovation, which in turn leads to new products, processes, services and business models. This book brings together a number of real-life examples of how to govern and manage open innovation collaboration projects more effectively, and provides timely insights that project consortia, governance boards and funding agencies can directly apply to implement and monitor projects and achieve greater impacts. All papers were written by recognized leading authorities with extensive experience in governance and management, and reveal how to capitalize on the potential of open innovation. This book shares multidisciplinary research perspectives on the potential benefits and challenges of collaboration, project management, and open innovation, as well as the management of complex organizational cultures and governance models.

Collaboration among industry, universities and research institutes plays a vital role in stimulating open innovation, which in turn leads to new products, processes, services and business models. This book brings together a number of real-life examples of how to govern and manage open innovation collaboration projects more effectively, and provides timely insights that project consortia, governance boards and funding agencies can directly apply to implement and monitor projects and achieve greater impacts. All papers were written by recognized leading authorities with extensive experience in governance and management, and reveal how to capitalize on the potential of open innovation. This book shares multidisciplinary research perspectives on the potential benefits and challenges of collaboration, project management, and open innovation, as well as the management of complex organizational cultures and governance models.

Effective risk and opportunity management is key to the successful delivery of any major engineering and construction project. This book looks at how all those involved can manage risk and capitalise on the opportunities that uncertainty present. The authors of this book highlight that uncertainties should be managed rather than avoided. This book will look at simple projects with a small team, to megaprojects where some hundreds of people are involved, and the consequences of delays or unforeseen costs. However, while the obvious risks can be planned for, the authors argue that it is often the opportunities in these situations that can have unexploited potential. This book is about opportunity management seen from the owner's perspective. It will be an invaluable resource for those studying Engineering both undergraduate and postgraduate and set out ways in which projects should be managed from planning to completion. This book is also a great tool for those working in project management and the construction industry. While there are many books that demonstrate effective construction management, this book is the first of its kind to emphasise that there is opportunity in uncertainty, and possibility in the unexpected.

All companies which reach a critical size are faced with outsourcing decisions that can increase the value of their products and services primarily through lower costs, greater reliability and improved efficiency. Successful outsourcing decisions have an important knowledge dimension, where the outsourcing professionals need to be supported by historical and contextual knowledge regarding their own products performance but also the performance of suppliers. "Outsourcing in Manufacturing: the Knowledge Dimension" explains in detail how a manager can acquire, create, transfer and use knowledge that optimizes their outsourcing decisions and improves the changes of marketplace success.

"Outsourcing in Manufacturing: the Knowledge Dimension" gives examples of the key decisions that needs to be taken by managers regarding effective outsourcing. Decisions are divided around the structural and infrastructural aspects of outsourcing and the key knowledge that needs to be managed to support good decisions. The book contains illustrations and examples of key processes throughout and concludes with a section dedicated to case studies. These case studies represent a variety of manufacturing system types and sizes focused on supply chain integration, and which deploy various manufacturing paradigms including craft, mass, lean, adaptive, and sustainable manufacturing.

"Outsourcing in Manufacturing: the Knowledge Dimension" covers many theoretical and practical examples of critical outsourcing decisions, their knowledge aspects and how knowledge challenges can be dealt with in a systematic way. It provides a key resource for students, lecturers and industry managers looking to solidify their understanding and application of outsourcing decision making strategies.

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Investors and managers of major projects know how often they result in cost overruns and schedule delays. Risk Navigation Strategies for Major Capital Projects builds on conventional best practice to provide a risk-based view of current practices for planning and executing large international projects. As economies of scale continue to drive projects to ever-higher levels of scope and complexity, new thinking about strategy and risk is required. Since major projects are highly exposed to external risks, the traditional view of predictability as something that can be mandated and ensured by rigorous application of conventional best practice has become a myth. Fresh thinking is required to manage projects today, and this book provides a framework for taking project management best practice to the next level. Risk Navigation Strategies for Major Capital Projects is intended for executives investing in major projects, project leaders and managers, as well as those with a teaching or research interest in project and risk management.

Lecturers and researchers in the areas of industrial engineering, quality management and business development, and middle and higher management in business or technology- oriented positions, will find this book invaluable.

This book serves as a textbook for an introductory course on performance management. It gives an overview over various aspects of managing performance of the modem enterprise by focusing on performance evaluation and measurement and performance improvement techniques. Most of the material is based on a thorough literature search and an extensive reference list has been included. The book has been sponsored by the Norwegian productivity research program TOPP and by the COMETT program of the European Community Commission. It has been applied as the text for a continuing education course both within TOPP and the COMETT project APECE. It will also serve as part of a course material for a master's degree in technology management. The book is aimed at an audience of business and technology oriented personnel at middle and higher management level in manufacturing industry. At the same time it is suitable as a textbook for business and engineering schools and colleges. is organized in five parts discussing productivity and The book performance, performance planning, performance review, performance improvement and performance influencing factors. The authors have worked closely together to obtain a well coordinated text without overlap. They have provided a draft. This draft has been circulated for comments amongst the authors and amongst external experts. Based on their input the manuscript has been revised. Eivald RfI}ren and Einar Printz Moe, chairman of the board and program manager for the TOPP research program respectively, have also provided valuable input to the book.

Enterprise Modeling: Improving Global Industrial Competitiveness gives an overview of the current state-of-the-art in enterprise modeling and its application. Enterprise modeling is both a concept and a tool that is highly developed at the research level, but which still promises many new industrial applications. Enterprise models constitute a theoretical basis for the information system in an enterprise and are regarded by many as a substantial opportunity to improve global industrial competitiveness. Enterprise Modeling: Improving Global Industrial Competitiveness gives the reader an understanding of enterprise modeling as a concept and provides examples of its application by describing some of the currently available tools. It is organized in five parts: overview and international trends, the basis of enterprise modeling, application areas, implementation, and industrial experience with enterprise modeling. Enterprise Modeling: Improving Global Industrial Competitiveness is useful to developers of business information systems, users of technical information systems, engineers within operations management, and engineers and economists dealing with performance assessment and improvement. Enterprise Modeling: Improving Global Industrial Competitiveness is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.

All companies which reach a critical size are faced with outsourcing decisions that can increase the value of their products and services primarily through lower costs, greater reliability and improved efficiency. Successful outsourcing decisions have an important knowledge dimension, where the outsourcing professionals need to be supported by historical and contextual knowledge regarding their own products performance but also the performance of suppliers. "Outsourcing in Manufacturing: the Knowledge Dimension" explains in detail how a manager can acquire, create, transfer and use knowledge that optimizes their outsourcing decisions and improves the changes of marketplace success.

"Outsourcing in Manufacturing: the Knowledge Dimension" gives examples of the key decisions that needs to be taken by managers regarding effective outsourcing. Decisions are divided around the structural and infrastructural aspects of outsourcing and the key knowledge that needs to be managed to support good decisions. The book contains illustrations and examples of key processes throughout and concludes with a section dedicated to case studies. These case studies represent a variety of manufacturing system types and sizes focused on supply chain integration, and which deploy various manufacturing paradigms including craft, mass, lean, adaptive, and sustainable manufacturing.

"Outsourcing in Manufacturing: the Knowledge Dimension" covers many theoretical and practical examples of critical outsourcing decisions, their knowledge aspects and how knowledge challenges can be dealt with in a systematic way. It provides a key resource for students, lecturers and industry managers looking to solidify their understanding and application of outsourcing decision making strategies.

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The purpose of this book is to discuss the state of the art and future trends in the field of computerized production management systems. It is composed of a number of independent papers, each presented in a chapter. Some of the widely recognized experts in the field around the world have been asked to contribute. lowe each of them my sincere gratitude for their kind cooperation. I am also grateful to Peter Falster and Jim Browne for their kind support in helping me to review topics to be covered and to select the authors. This book is a result of the professional work done in the International Federation of Information Processing Technical Committee IFIP TC5 "Com puter Applications in Technology" and especially in the Working Group WG5. 7 "Computer-Aided Production Management." This group was established in 1978 with the aim of promoting and encouraging the advancement of the field of computer systems for the production management of manufacturing, off shore, construction, electronic and similar and related industries. The scope of the work includes, but is not limited to, the following topics: 1) design and implementation of new production planning and control systems taking into account new technology and management philosophy; 2) CAPM in a CIM environment including interfaces to CAD and CAM; 3) project management and cost engineering; 4) knowledge engineering in CAPM; 5) CAPM for Flexible Manufacturing Systems (FMS) and Flexible Assembly Systems (F AS); 6) methods and concepts in CAPM; 7) economic and social implications of CAPM."

Enterprise Modeling: Improving Global Industrial Competitiveness gives an overview of the current state-of-the-art in enterprise modeling and its application. Enterprise modeling is both a concept and a tool that is highly developed at the research level, but which still promises many new industrial applications. Enterprise models constitute a theoretical basis for the information system in an enterprise and are regarded by many as a substantial opportunity to improve global industrial competitiveness. Enterprise Modeling: Improving Global Industrial Competitiveness gives the reader an understanding of enterprise modeling as a concept and provides examples of its application by describing some of the currently available tools. It is organized in five parts: overview and international trends, the basis of enterprise modeling, application areas, implementation, and industrial experience with enterprise modeling. Enterprise Modeling: Improving Global Industrial Competitiveness is useful to developers of business information systems, users of technical information systems, engineers within operations management, and engineers and economists dealing with performance assessment and improvement. Enterprise Modeling: Improving Global Industrial Competitiveness is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.

Lecturers and researchers in the areas of industrial engineering, quality management and business development, and middle and higher management in business or technology- oriented positions, will find this book invaluable.

Investors and managers of major projects know how often they result in cost overruns and schedule delays. Risk Navigation Strategies for Major Capital Projects builds on conventional best practice to provide a risk-based view of current practices for planning and executing large international projects. As economies of scale continue to drive projects to ever-higher levels of scope and complexity, new thinking about strategy and risk is required. Since major projects are highly exposed to external risks, the traditional view of predictability as something that can be mandated and ensured by rigorous application of conventional best practice has become a myth. Fresh thinking is required to manage projects today, and this book provides a framework for taking project management best practice to the next level. Risk Navigation Strategies for Major Capital Projects is intended for executives investing in major projects, project leaders and managers, as well as those with a teaching or research interest in project and risk management.