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Titlebook: Engineering Systems and Networks; The Way Ahead for In Marlene Amorim,Carlos Ferreira,Carlos Prado Conference proceedings 2017 Springer Int

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发表于 2025-3-21 18:43:09 | 显示全部楼层 |阅读模式
书目名称Engineering Systems and Networks
副标题The Way Ahead for In
编辑Marlene Amorim,Carlos Ferreira,Carlos Prado
视频video
概述State-of-the art research challenges and developments: the latest contributions in the field of industrial engineering and operations management to benchmark your research.Up-to-date analysis of real-
丛书名称Lecture Notes in Management and Industrial Engineering
图书封面Titlebook: Engineering Systems and Networks; The Way Ahead for In Marlene Amorim,Carlos Ferreira,Carlos Prado Conference proceedings 2017 Springer Int
描述This book gathers a selection of the best papers presented at the joint international conference ICIEOM-CIO-IIE 2015, offering recent research on industrial engineering, management and operations from an international and interdisciplinary perspective. It includes contributions from different fields, such as operations research, modeling and simulation, production and service management and logistics, information systems and quality, and as such is of interest to both researchers and practitioners. Reflecting the interconnected nature of today’s production systems, characterized by intense flows of goods, information and individuals between companies and nations, it is a valuable resource for anyone wanting an in-depth understanding of the field to guide managerial practice in order to take full advantage of existing opportunities..
出版日期Conference proceedings 2017
关键词Decision Sciences; Industrial Engineering; Management Science; Operations Management; Production Researc
版次1
doihttps://doi.org/10.1007/978-3-319-45748-2
isbn_softcover978-3-319-83363-7
isbn_ebook978-3-319-45748-2Series ISSN 2198-0772 Series E-ISSN 2198-0780
issn_series 2198-0772
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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Ava Kanyeredzi,Paula Reavey,Steven D. Brown seen as key to long term firm survival in the Oil and Gas industry. But the uncertainty associated with R&D success may reduce firm value market when a firm expands R&D. Using a panel of O&G firms traded in the New York Stock Exchange, we econometrically estimate the market value effect of R&D. We
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https://doi.org/10.1007/978-3-642-13349-7ure and practice the use of modeling techniques, ordering systems (OS) and practices in supply chain management (SCM). These, however, are not jointly used for coordinated operations in SC, admitting then a theoretic gap to be explored. In that way, this work has the objective to present a decision
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