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Titlebook: Operations Management for Social Good; 2018 POMS Internatio Adriana Leiras,Carlos Alberto González-Calderón,Hu Conference proceedings 2020

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書目名稱Operations Management for Social Good
副標(biāo)題2018 POMS Internatio
編輯Adriana Leiras,Carlos Alberto González-Calderón,Hu
視頻videohttp://file.papertrans.cn/703/702070/702070.mp4
概述Provides a timely overview of the most current and important topics related to operations management for social good.Features selected papers from the 2018 POMS International Conference in Rio.Showcas
叢書名稱Springer Proceedings in Business and Economics
圖書封面Titlebook: Operations Management for Social Good; 2018 POMS Internatio Adriana Leiras,Carlos Alberto González-Calderón,Hu Conference proceedings 2020
描述This volume showcases the presentations and discussions delivered at the 2018 POMS International Conference in Rio. Through?a collection of selected papers, it is possible to review the impact and application of operations management for social good, with contributions across a wide range of topics, including: humanitarian operations and crisis management, healthcare operations management, sustainable operations, artificial intelligence and data analytics in operations, product innovation and technology in operations management, marketing and operations management, service operations and servitization, logistics and supply chain management, resilience and risk in operations, defense, and tourism among other emerging Operations Management issues. The Production and Operations Management Society (POMS) is one of the most important and influential societies in the subject of Production Engineering and, as an international professional and academic organization, represents the interests of professionals and academics in production management and operations around the world.?
出版日期Conference proceedings 2020
關(guān)鍵詞Operations management; Social Good; Logistics and Supply Chain Management; Resilience and Risk; Sustaina
版次1
doihttps://doi.org/10.1007/978-3-030-23816-2
isbn_softcover978-3-030-23818-6
isbn_ebook978-3-030-23816-2Series ISSN 2198-7246 Series E-ISSN 2198-7254
issn_series 2198-7246
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Product Demand Forecasting Based on Reservoir Computing dynamical system to project time-series data to a higher-dimensional state representation extracting mathematical relations within complex demand functions. We demonstrate forecasting accuracy of RC on a multivariate product demand dataset.
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t in inefficient, lowest common denominator outcomes or deadlock? Social constructivists and ‘deliberative’ approaches argue that Council decisionmaking is a very long-term iterative game that has resulted in the development of consensual norms that dictate that negotiators focus on finding solution
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