Ai-Fu Chang - Google Scholar CitationsIf you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account. If the address matches an existing account you will receive an email with instructions to retrieve your username. Skip to Main Content. Kiran Pashikanti Dr. First published: 11 April About this book A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries.
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Refinery Engineering: Integrated Process Modeling and Optimization
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Petroleum refining is one of the most important yet challenging industries, and continues to be a major contributor in the production of transportation fuels and chemicals. Current economic, regulatory and environmental concerns place significant pressure on refiners to upgrade and optimize the refining process. At the same time, new product demands are urging refiners to explore alternative processing units and feedstocks. This textbook represents a pioneering and comprehensive introduction to this complex subject, using many of the tools and techniques currently employed in modern refinery process simulation. Adopting a systematic and practical approach, the authors include the theory, case studies and hands-on workshops, explaining how to work with real data.
Business process modeling BPM in business process management and systems engineering is the activity of representing processes of an enterprise, so that the current process may be analysed, improved, and automated. BPM is typically performed by business analysts, who provide expertise in the modeling discipline; by subject matter experts, who have specialized knowledge of the processes being modelled; or more commonly by a team comprising both. Alternatively, the process model can be derived directly from events' logs using process mining tools. The business objective is often to increase process speed or reduce cycle time; to increase quality; or to reduce costs, such as labour, materials, scrap, or capital costs. In practice, a management decision to invest in business process modeling is often motivated by the need to document requirements for an information technology project.
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