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Cooperative reliability allocation in network flow problems considering greenhouse gas emissions: Optical fiber networks structure
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2021-10-13 , DOI: 10.1016/j.jclepro.2021.129315
Mehdi Mehryar 1 , Ashkan Hafezalkotob 2 , Amir Azizi 1 , Farzad Movahedi Sobhani 1
Affiliation  

The design of network utilities which share resources or infrastructural elements, and which aim for cleaner transmission processes, involves many decision-making issues. These utilities can best be designed with regard to the mean of various maximum-flow models, while considering network reliability as a quality factor. The development of such innovative interconnectivity within industrial domains including information and communication technology (ICT) results in synergistic genesis and increased sustainability, creating an interdependent network of multi-industrial actors. In multiple-owner network utilities, various industries control edges and vertices within infrastructural networks. Network parameters differ widely in many real-world problems; engineering and designing a reliable flow can be as important as maximizing network flow while remaining compatible with environmental conditions. A key question, therefore, is how independent industry owners can collaborate symbiotically to implement a maximum green reliable flow (MGRF), one which decreases greenhouse gases (GHGs) while maximizing network worth. This paper addresses this question by providing a mixed-integer nonlinear programming model (MINLP) for multi-ownership network utility issues under budgetary conditions and constraints, and with permissible GHG emission consideration. Penalty factors for GHG emissions are also examined. Subsequently, an analysis is performed on the effectiveness of acceptable reliability levels and GHG fines payable for various emissions permit levels. These methods and analyses are then reviewed in a multi-faceted study of three main service industries that use fiber-optic networks, along with the results of collaborative outputs and relevant managerial insights. Additionally, several collaborative revenue-sharing methods are analyzed, based on game theoretical studies in real-world situations.



中文翻译:

考虑温室气体排放的网络流量问题中的协作可靠性分配:光纤网络结构

共享资源或基础设施元素并旨在实现更清洁的传输过程的网络公用设施的设计涉及许多决策问题。这些实用程序可以根据各种最大流量模型的平均值进行最佳设计,同时将网络可靠性视为质量因素。包括信息和通信技术 (ICT) 在内的工业领域内这种创新互连的发展会产生协同作用并增强可持续性,从而创建一个相互依存的多行业参与者网络。在多所有者网络公用事业中,各个行业控制基础设施网络中的边和顶点。在许多实际问题中,网络参数差异很大;工程和设计可靠的流量与最大化网络流量同时保持与环境条件兼容一样重要。因此,一个关键问题是独立的行业所有者如何能够共生合作以实施最大的绿色可靠流量 (MGRF),即减少温室气体 (GHG) 同时最大化网络价值。本文通过为预算条件和约束条件下的多所有权网络效用问题提供混合整数非线性规划模型 (MINLP) 来解决这个问题,并考虑到可允许的温室气体排放。还审查了温室气体排放的惩罚因素。随后,对可接受的可靠性水平的有效性和各种排放许可水平的温室气体罚款进行了分析。然后在对使用光纤网络的三个主要服务行业的多方面研究中审查这些方法和分析,以及协作输出和相关管理见解的结果。此外,基于现实世界情况下的博弈论研究,分析了几种协作收益分享方法。

更新日期:2021-10-20
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