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Innovation in Industrial Research is a valuable resource for researchers working for industries or the public sector, managers of research projects, consultants and graduate students. --Book Jacket.
The study of media industries has become a thriving subfield of media studies. It already comprises a diverse intellectual history, a range of fascinating questions and topics, and many theoretical and methodological frameworks. Media Industry Studies provides the roadmap to this vibrant area of study. Blending a comprehensive overview of foundational literature with an examination of the varied scales and sites media industry studies have considered, the book explores connections among research questions, topics, and methodologies. It includes examples from many media industries – film, television, journalism, music, games – and incorporates emerging scholarship considering the industrial contexts of social and internet-distributed media. Offering an account of the intellectual traditions and approaches that have defined the subfield to date, Media Industry Studies is an indispensable resource for upper-level undergraduates, postgraduates, and scholars.
Illustrating techniques in model development, signal processing, data reconciliation, process monitoring, quality assurance, intelligent real-time process supervision, and fault detection and diagnosis, Batch Fermentation offers valuable simulation and control strategies for batch fermentation applications in the food, pharmaceutical, and chemical industries. The book provides approaches for determining optimal reference trajectories and operating conditions; estimating final product quality; modifying, adjusting, and enhancing batch process operations; and designing integrated real-time intelligent knowledge-based systems for process monitoring and fault diagnosis.
This textbook presents methodologies and applications associated with multiple criteria decision analysis (MCDA), especially for those students with an interest in industrial engineering. With respect to methodology, the book covers (1) problem structuring methods; (2) methods for ranking multi-dimensional deterministic outcomes including multiattribute value theory, the analytic hierarchy process, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and outranking techniques; (3) goal programming,; (4) methods for describing preference structures over single and multi-dimensional probabilistic outcomes (e.g., utility functions); (5) decision trees and influence diagrams; (6) methods for determining input probability distributions for decision trees, influence diagrams, and general simulation models; and (7) the use of simulation modeling for decision analysis. This textbook also offers: · Easy to follow descriptions of how to apply a wide variety of MCDA techniques · Specific examples involving multiple objectives and/or uncertainty/risk of interest to industrial engineers · A section on outranking techniques ; this group of techniques, which is popular in Europe, is very rarely mentioned as a methodology for MCDA in the United States · A chapter on simulation as a useful tool for MCDA, including ranking & selection procedures. Such material is rarely covered in courses in decision analysis · Both material review questions and problems at the end of each chapter . Solutions to the exercises are found in the Solutions Manual which will be provided along with PowerPoint slides for each chapter. The methodologies are demonstrated through the use of applications of interest to industrial engineers, including those involving product mix optimization, supplier selection, distribution center location and transportation planning, resource allocation and scheduling of a medical clinic, staffing of a call center, quality control, project management, production and inventory control,and so on. Specifically, industrial engineering problems are structured as classical problems in multiple criteria decision analysis, and the relevant methodologies are demonstrated.
After World War II, tracing and documenting Nazi victims emerged against the background of millions of missing persons and early compensation proceedings. This was a process in which the Allies, international aid organizations, and survivors themselves took part. New archives, documentation centers and tracing bureaus were founded amid the increasing Cold War divide. They gathered documents on Nazi persecution and structured them in specialized collections to provide information on individual fates and their grave repercussions: the loss of relatives, the search for a new home, physical or mental injuries, existential problems, social support and recognition, but also continued exclusion or discrimination. By doing so, institutions involved in this work were inevitably confronted with contentious issues—such as varying political mandates, neutrality vs. solidarity with those formerly persecuted, data protection vs. public interest, and many more. Over time, tracing bureaus and archives changed methods and policies and even expanded their activities, using historical documents for both research and public remembrance. This is the first publication to explore this multifaceted history of tracing and documenting past and present.