The striving for sustainable development is one of the great challenges of the 21st century. As a result on a corporate level, companies are increasingly forced to broaden their scope by considering environmental and social aspects in their decision-making processes to ultimately remain competitive and prospering. However, the incorporation of sustainability into both qualitative and quantitative corporate decision-making is challenging and complex. Against this background the present doctoral dissertation reveals ways to implement and enhance corporate sustainability. This is done by means of integrating selected methods and concepts, namely the concepts of transdisciplinarity, reverse logistics, and green information systems as well as methods and tools from the discipline of operations research. Within seven research contributions qualitative and quantitative approaches are developed that improve corporate decision-making to achieve sustainability goals.

Since Integrating City Planning and Environmental Improvement was originally published in 1999, the practice of integrating urban physical planning and environmental quality management has been widely adopted by governments worldwide. Fully revised and updated with a new preface by editors Donald Miller and Gert de Roo and new figures throughout, this second edition reports on the experience of 23 innovative programmes from 11 countries. Mostly written by practicing planners and government officials, the book looks at a wide range of integrated approaches which have been implemented and the critical assessment of these provides lessons for local and national governments interested in setting up similar schemes and suggesting ways of further innovation. While the Rio Earth summit, Habitat II and Kyoto have been a source of global principles for improving the environmental quality of human settlements, this book explores approaches to implement these policy positions and to make these calls for action operational. Consequently, the presentation of these cases deals not only with the technical aspects of measuring and controlling environmental spillovers, but also with the institutional, political and financial aspects of these programmes.

Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields. Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable. - Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization - Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability - Includes detailed case studies demonstrating the efficacies of the described methods

Currently the writing on the subject is limited and comprises, for the most part, guidance documents and completed assessments.

An exciting vision of what we can aspire to when sustainability is integrated within strategic practices across enterprise functions, systems, supply chains, and cities. The book will enable decision makers to recognize a new era of innovative value creation.

Decision making at the enterprise level often encompass not only production operations and product R&D, but other strategic functions such as financial planning and marketing. With the aim of maximizing growth and a firm’s value, companies often focus on co-ordinating these functional components as well as traditional hierarchical decision levels. Understanding this interplay can enhance enterprise capabilities of adaptation and response to uncertainties arising from internal processes as well as the external environment. This book presents concepts, methods, tools and solutions based on mathematical programming, which provides the quantitative support needed for integrated decision-making and ultimately for improving the allocation of overall corporate resources (e.g., materials, cash and personnel). Through a systems perspective, the integrated planning of the supply chain also promotes activities of reuse, reduction and recycling for achieving more sustainable environmental impacts of production/distribution networks. Thus, this book presents, for the first time, a unique integrated vision of the Enterprise Supply Chain Planning and provides a comprehensive account of the state of the art models, methods and tools available to address the above mentioned features of the modern supply chain. It offers a comprehensive review of the associated literature of supply chain management and then systematically builds on this knowledge base to develop the mathematical models representing each of the core functional units and decision levels of the corporation and shows how they can be integrated into a holistic decision problem formulation. Abundant illustrations and tables help maximize reader insights into the problems discussed with several case studies and industry application also examined. This book is intended as a textbook for academics (PhD, MSc), researchers and industry decision-makers, who are involved in the design, retrofit and evaluation of alternative scenarios for the improvement of the supply chain.