Reliability evaluation for a multi-commodity multi-state distribution network under transportation emission consideration

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Reliability Engineering & System Safety Pub Date : 2024-10-28 DOI:10.1016/j.ress.2024.110599
Yi-Feng Niu , Jun-Feng Wang , Xiu-Zhen Xu , Qian-Xin Xu
{"title":"Reliability evaluation for a multi-commodity multi-state distribution network under transportation emission consideration","authors":"Yi-Feng Niu ,&nbsp;Jun-Feng Wang ,&nbsp;Xiu-Zhen Xu ,&nbsp;Qian-Xin Xu","doi":"10.1016/j.ress.2024.110599","DOIUrl":null,"url":null,"abstract":"<div><div>This study, from the perspective of environmental effect, presents a novel reliability evaluation of a multi-commodity multi-state distribution network (MMDN) with consideration of transportation emission, in which a node stands for a supplier, a distribution center or a market, an arc represents a carrier offering transportation service along that arc, and multiple types of commodities are simultaneously transported from several sources to the destination. Due to the existence of unpredictable events, the available capacity of each arc should be multi-state, thus, network reliability under transportation emission consideration, defined as the probability that a specific amount of multiple types of commodities can be successfully distributed from several sources to the destination while the carbon emissions generated by all vehicles are within a limit, can serve as a valuable reference to assess the ability of an MMDN to complete the delivery task with limited environmental impact. An algorithm, using minimal paths vectors (MPVs), is proposed to evaluate the indicator, and the solution steps are explicated through an example network. Additionally, a case study is explored to indicate the practicality of the new reliability index and calculation method.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110599"},"PeriodicalIF":9.4000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832024006707","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

Abstract

This study, from the perspective of environmental effect, presents a novel reliability evaluation of a multi-commodity multi-state distribution network (MMDN) with consideration of transportation emission, in which a node stands for a supplier, a distribution center or a market, an arc represents a carrier offering transportation service along that arc, and multiple types of commodities are simultaneously transported from several sources to the destination. Due to the existence of unpredictable events, the available capacity of each arc should be multi-state, thus, network reliability under transportation emission consideration, defined as the probability that a specific amount of multiple types of commodities can be successfully distributed from several sources to the destination while the carbon emissions generated by all vehicles are within a limit, can serve as a valuable reference to assess the ability of an MMDN to complete the delivery task with limited environmental impact. An algorithm, using minimal paths vectors (MPVs), is proposed to evaluate the indicator, and the solution steps are explicated through an example network. Additionally, a case study is explored to indicate the practicality of the new reliability index and calculation method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑运输排放因素的多商品多州配送网络可靠性评估
本研究从环境效应的角度出发,提出了一种考虑运输排放的新型多商品多状态配送网络(MMDN)可靠性评价方法。在该方法中,节点代表供应商、配送中心或市场,弧代表沿该弧提供运输服务的承运人,多种类型的商品同时从多个货源地运往目的地。由于不可预测事件的存在,每个弧的可用容量应是多状态的,因此,考虑运输排放因素的网络可靠性,即特定数量的多种商品能从多个货源地成功配送到目的地,同时所有车辆产生的碳排放量在一定范围内的概率,可作为评估多式联运网络在有限的环境影响下完成配送任务的能力的重要参考。本文提出了一种使用最小路径向量(MPV)的算法来评估该指标,并通过一个示例网络对解决步骤进行了阐述。此外,还通过案例研究说明了新可靠性指标和计算方法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
期刊最新文献
Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method A novel sim2real reinforcement learning algorithm for process control Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition High-efficient non-iterative reliability-based design optimization based on the design space virtually conditionalized reliability evaluation method Pseudo-label assisted contrastive learning model for unsupervised open-set domain adaptation in fault diagnosis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1