Maximizing reader insights into project management and handling complexity-driven risks, this book explores propagation effects, non-linear consequences, loops, and the emergence of positive properties that may occur over the course of a project. This book presents an introduction to project management and analysis of traditional project management approaches and their limits regarding complexity. It also includes overviews of recent research works about project complexity modelling and management as well as project complexity-driven issues. Moreover, the authors propose their own new approaches, new methodologies and new tools which may be used by project managers and/or researchers and/or students in the management of their projects. These new elements include project complexity definitions and frameworks, multi-criteria approaches for project complexity measurement, advanced methodologies for project management (propagation studies to anticipate potential behaviour of the project, and clustering approaches to improve coordination between project actors) and industrial case studies (automotive industry, civil engineering, railroad industry, performing arts,...) and exercises (with their solutions) which will allow readers to improve and strengthen their knowledge and skills in the management of complex and (thus) risky projects.
Dependency and Structure Modelling (DSM) techniques support the management of complexity by focusing attention on the elements of a complex system and how they are related to each other. The DSM perspective can assist in understanding, designing and optimising complex systems – including products, processes and organisations. This volume comprises peer-reviewed papers representing state-of-the-art in DSM research and applications. The papers were presented at the 15th International DSM Conference held in July 2014 in Paris, France.
Maximizing reader insights into project management and handling complexity-driven risks, this book explores propagation effects, non-linear consequences, loops, and the emergence of positive properties that may occur over the course of a project. This book presents an introduction to project management and analysis of traditional project management approaches and their limits regarding complexity. It also includes overviews of recent research works about project complexity modelling and management as well as project complexity-driven issues. Moreover, the authors propose their own new approaches, new methodologies and new tools which may be used by project managers and/or researchers and/or students in the management of their projects. These new elements include project complexity definitions and frameworks, multi-criteria approaches for project complexity measurement, advanced methodologies for project management (propagation studies to anticipate potential behaviour of the project, and clustering approaches to improve coordination between project actors) and industrial case studies (automotive industry, civil engineering, railroad industry, performing arts,...) and exercises (with their solutions) which will allow readers to improve and strengthen their knowledge and skills in the management of complex and (thus) risky projects.
This book presents the latest findings relating to behavioral economics and the digital tools applied to contract management. There has been a decisive change in the role of contracts in the past decade, with contracts being transformed from purely legal necessities designed to protect against worst-case scenarios into tools for optimizing ongoing and mutually profitable business relationships with customers. There is an increasing emphasis on tight contracts, where time-risk and additional costs are passed on to the prime contractor, who may suffer heavy penalties in the event of non-performance. Contracts shape the behavior of the parties involved and as such have a major impact on project success. The contract manager’s goals are to protect the interests of the company and its shareholders by minimizing the company’s financial and contractual liabilities and to maximize its profitability while ensuring end-user satisfaction. The contract is usually written before the design is fully developed, and there is often a mismatch between contractual specifications and what the customer actually wants. Good contract management entails preserving the rights of the contractor by ensuring all parties respect their contractual obligations; providing advice to the project managers and engineering team; preparing profitable amendments to contracts or change requests; maintaining good record-keeping in the event that claims arise; filing notices when necessary; and guiding the project to a profitable conclusion. Like the ancient Chinese game of Go, moves made early in the game (notification of events) can shape the nature of a potential conflict one hundred moves later (arbitration threat). Contract management can also smooth the relationship between partners, allowing well-balanced “don’t-trade-a-dollar-for-a-penny” contracts to be managed through an established process rather than as sporadic events (we cannot claim to be in control of our business if we are not in control of the contracts on which it depends). Managing a contract with a mix of incomplete manuals, fragmented information, and poor planning can drive companies to “reinvent the wheel.” Contract management promotes a three-phase sequence to streamline information flows across the contract lifecycle, from the bid phase to performance, project closeout, and final payments.
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