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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.

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.

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.

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.

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.

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.

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..

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..

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.

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.