This book presents a number of efficient techniques for solving large-scale production scheduling and planning problems in process industries. The main content is supplemented by a wealth of illustrations, while case studies on large-scale industrial applications, ranging from continuous to semicontinuous and batch processes, round out the coverage. The book examines a variety of complex, real-world problems, and demonstrates solutions that are applicable to scenarios and countries around the world. Specifically, these case studies include: • the production planning of the bottling stage of a major brewery at the Cervecería     Cuauhtémoc Moctezuma (Heineken Int) in Mexico;• the production scheduling for multi-stage semicontinuous processes at an ice-cream   production facility of Unilever in the Netherlands;• the resource-constrained production planning for the yogurt production line at the KRI KRI dairy production facility in Greece; and• the production scheduling for large-scale, multi-stage batch processes at a pharmaceutical batch plant   in Germany. In addition, the book includes industrial-inspired case studies of: • the simultaneous planning of production and logistics operations considering multi-site  facilities for semicontinuous processes; and• the integrated planning of production and utility systems in process industries under uncertainty. Solving Large-scale Production Scheduling and Planning in the Process Industries offers a valuable reference guide for researchers and decision-makers alike, as it shows readers how to evaluate and improve existing installations, and how to design new ones. It is also well suited as a textbook for advanced courses on production scheduling and planning in industry, as it addresses the optimization of production and logistics operations in real-world process industries.

Syngas from Waste presents the most recent concepts, methods and techniques for the preliminary design of a promising emerging technology: production of clean syngas from waste materials. An in-depth account is given of the steps necessary to achieve the optimum design and up-to-date tools are presented to support the designer's decision-making tasks: modelling, simulation and optimization. Numerous illustrations and tables are included to facilitate the reader's understanding, as well as suggestions for further reading. The text is complemented with practical examples and industrial applications ranging from clean power generation to complex combined heat and power systems and high purity hydrogen for use in fuel cells. Syngas from Waste contains high-quality contributions from leading experts in the field. It is intended for academics at MSc or PhD level, researchers and industry practitioners in syngas production and applications, who are involved in the design, retrofit design and evaluation activities of alternative scenarios. It contains valuable teaching material for lecturers and provides industry professionals with the know-how to evaluate and improve existing installations or even to design a new one.

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.

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.

Syngas from Waste presents the most recent concepts, methods and techniques for the preliminary design of a promising emerging technology: production of clean syngas from waste materials. An in-depth account is given of the steps necessary to achieve the optimum design and up-to-date tools are presented to support the designer's decision-making tasks: modelling, simulation and optimization. Numerous illustrations and tables are included to facilitate the reader's understanding, as well as suggestions for further reading. The text is complemented with practical examples and industrial applications ranging from clean power generation to complex combined heat and power systems and high purity hydrogen for use in fuel cells. Syngas from Waste contains high-quality contributions from leading experts in the field. It is intended for academics at MSc or PhD level, researchers and industry practitioners in syngas production and applications, who are involved in the design, retrofit design and evaluation activities of alternative scenarios. It contains valuable teaching material for lecturers and provides industry professionals with the know-how to evaluate and improve existing installations or even to design a new one.

This book presents a number of efficient techniques for solving large-scale production scheduling and planning problems in process industries. The main content is supplemented by a wealth of illustrations, while case studies on large-scale industrial applications, ranging from continuous to semicontinuous and batch processes, round out the coverage. The book examines a variety of complex, real-world problems, and demonstrates solutions that are applicable to scenarios and countries around the world. Specifically, these case studies include: * the production planning of the bottling stage of a major brewery at the Cerveceria Cuauhtemoc Moctezuma (Heineken Int) in Mexico;* the production scheduling for multi-stage semicontinuous processes at an ice-cream production facility of Unilever in the Netherlands;* the resource-constrained production planning for the yogurt production line at the KRI KRI dairy production facility in Greece; and* the production scheduling for large-scale, multi-stage batch processes at a pharmaceutical batch plant in Germany. In addition, the book includes industrial-inspired case studies of: * the simultaneous planning of production and logistics operations considering multi-site facilities for semicontinuous processes; and* the integrated planning of production and utility systems in process industries under uncertainty. Solving Large-scale Production Scheduling and Planning in the Process Industries offers a valuable reference guide for researchers and decision-makers alike, as it shows readers how to evaluate and improve existing installations, and how to design new ones. It is also well suited as a textbook for advanced courses on production scheduling and planning in industry, as it addresses the optimization of production and logistics operations in real-world process industries.

Nowadays companies have taken the task of develop better management information systems in order to help the decision makers to exploit data and models, with the final objective of discussing and improving decision-making. Decision support systems must be improved in order to deal with the large amount of available data and the heterogeneity of existing modeling approaches along the enterprise structure. This book proposes the application of ontologies as a decision support tool, since they are increasingly seen as a key semantic technology for addressing heterogeneities and for enabling data mining by semantics-driven knowledge processing. As a decision support tool, it must be capable of standing as a robust model which interacts among the different decision hierarchical levels, providing a unified framework for data and information. The work presented represents a step forward toward integration among the enterprise hierarchical levels, standardization in processes and enterprises, as well as improved procedures for decision-making. The aforementioned achievements are boosted by the application of semantic models, which are currently increasingly used.

In the last decade the interest on monitoring systems has increased following the demand of better management of the plants according to more restrictive economical and environmental conditions. As a consequence, the number of accidents has been reduced and the economical performance of process plants has been improved. Despite a promising start towards hybrid fault diagnosis systems (i.e., systems that integrate more than one monitoring methodology) the continuous increase in the complexity of the chemical processes generates the necessity of faster and more robust monitoring systems. In addition, an important direction for research is the integration of diagnostic tasks with other process operations such as sensor location, regulatory control, data reconciliation and supervisory control. Besides, in batch and semi-continuous processes, a fault diagnosis system should be integrated with higher levels of plant information such as the planning and scheduling activities. This book addresses the process monitoring problem from an integrated perspective, considering all the designed methodologies into an advanced plant information system framework.