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Titlebook: Operations Research and Management; Quantitative Methods Franz W. Peren,Thomas Neifer Textbook 2024 The Editor(s) (if applicable) and The A

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發(fā)表于 2025-3-21 18:33:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Operations Research and Management
副標題Quantitative Methods
編輯Franz W. Peren,Thomas Neifer
視頻videohttp://file.papertrans.cn/703/702152/702152.mp4
概述Offers a better understanding of how to optimize projects with quantitative methods.Enables the reader to make informed decisions using tools and examples.Allows students to master operations manageme
叢書名稱Springer Texts in Business and Economics
圖書封面Titlebook: Operations Research and Management; Quantitative Methods Franz W. Peren,Thomas Neifer Textbook 2024 The Editor(s) (if applicable) and The A
描述.This textbook introduces quantitative methods in operations management, based on operational research. Written for undergraduate and graduate students as well as practitioners, this book serves as a valuable compendium of essential tools for project planning, control, and strategic decision-making..Drawing from the expertise of both experienced scientists and seasoned practical managers, the descriptions of each tool are a harmonious blend of theoretical insights and real-world applicability. With a focus on accessibility, the authors have thoughtfully combined abstract concepts with easy-to-follow examples and detailed case studies..Readers will benefit from the abundance of well-explained recommendations and practical problem-solving approaches, where the book offers guidance on how to solve presented issues by using commercial software. Whether one seeks to refine project management, optimize operations, or make strategic choices, this book equips readers with theknowledge and proficiency required to excel in the dynamic field of operations management..
出版日期Textbook 2024
關(guān)鍵詞Planning methods; Quantitative methods; Planning tools; Decision methods; Decision-making; Strategic deci
版次1
doihttps://doi.org/10.1007/978-3-031-47206-0
isbn_softcover978-3-031-47208-4
isbn_ebook978-3-031-47206-0Series ISSN 2192-4333 Series E-ISSN 2192-4341
issn_series 2192-4333
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-21 23:59:38 | 只看該作者
The Decision Tree Procedureons research, offers valuable insights and tools to address these challenges. By providing the theoretical foundations and practical case studies, this work gives a deeper understanding of the decision tree procedure to support decision-making.
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Markov Chain Monte Carlo Methodsparameter values from known distributions and correlating these drawings until they approximately match the target distribution. MCMC methods represent a powerful class of algorithms for processing data and knowledge, which is why they are also called a "quantum leap in statistics".
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The Peren Theoremn the long term, will lead to the complete depletion of the planet’s natural environment. This article discusses the urgent need to shift to sustainable consumption patterns and reevaluate the definition of wealth.
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