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Titlebook: Industrial Engineering in the Digital Disruption Era; Selected papers from Fethi Calisir,Orhan Korhan Conference proceedings 2020 Springer

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发表于 2025-3-21 20:03:05 | 显示全部楼层 |阅读模式
书目名称Industrial Engineering in the Digital Disruption Era
副标题Selected papers from
编辑Fethi Calisir,Orhan Korhan
视频video
概述Reports on cutting-edge topics in engineering and technology management.Describes business strategies for the digital transformation.Merges a diverse range of perspectives, e.g. industrial, academic,
丛书名称Lecture Notes in Management and Industrial Engineering
图书封面Titlebook: Industrial Engineering in the Digital Disruption Era; Selected papers from Fethi Calisir,Orhan Korhan Conference proceedings 2020 Springer
描述This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held on September 2–3, 2019, in Gazimagusa, North Cyprus, Turkey. It covers a wide range of topics, including decision analysis, supply chain management, systems modelling and quality control. Further, special emphasis is placed on the state of the art and the challenges of digital disruption, as well as effective strategies that can be used to change organizational structures and eliminate the barriers that are keeping industries from taking full advantage of today’s digital technologies. 
出版日期Conference proceedings 2020
关键词Sustainable manufacturing systems; Multivariate Data Analysis; Multicriteria Decision Making Methods; E
版次1
doihttps://doi.org/10.1007/978-3-030-42416-9
isbn_softcover978-3-030-42418-3
isbn_ebook978-3-030-42416-9Series ISSN 2198-0772 Series E-ISSN 2198-0780
issn_series 2198-0772
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Failure Mode and Effect Analysis (FMEA) of Vertical Axis Wind Turbinesbeen identified, quantified and prioritized. The application of Fuzzy-FMEA and DS-FMEA approach based on three experts’ opinions accommodates the diversity of opinions and accounts for the uncertainty in decision making, due to any lack of knowledge and experience of the FMEA team.
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A Mathematical Model and an Artificial Bee Colony Algorithm for In-Plant Milk-Run Designtificial Bee Colony Algorithm is developed to solve the large instances. The proposed ABC Algorithm is tested based on the optimum solutions (where available) and the best-known feasible solutions of different sized instances of a real washing machine assembly plant. Hence, the performance of the ABC Algorithm is validated.
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Optimal Order Quantity for the Mean-Variance Newsvendor Problem with Stockoutf the Uniform, Normal, and Exponential distributions. The obtained results confirmed earlier findings that the optimal order quantity for the risk-averse newsvendor problem with stockout using the mean-variance utility can either be less than or greater than the optimal quantity of the risk-neutral case.
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Research Areas and Suggestions for Sustainable Manufacturing Systemsconomy, industrial symbiosis, eco-industrial parks, and life cycle assessment. Moreover, some suggestions for future research areas are presented to help to fill gaps in this field after many studies from the related literature are evaluated in detail.
发表于 2025-3-22 21:57:05 | 显示全部楼层
Conference proceedings 2020JCIE), held on September 2–3, 2019, in Gazimagusa, North Cyprus, Turkey. It covers a wide range of topics, including decision analysis, supply chain management, systems modelling and quality control. Further, special emphasis is placed on the state of the art and the challenges of digital disruption
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