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Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic 新冠肺炎大流行期间欧洲七个国家首都人口流动的相关性
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta300622045k
Predrag Katanić, Srdjan Damjanović
We monitored and compared human mobility for six discrete categories during two year the COVID-19 pandemic in seven European countries: Austria, France, Italy, United Kingdom, Serbia, Spain, and Sweden, and their capitals: Vienna, Paris, Rome, London, Belgrade, Madrid and Stockholm. We have chosen countries whose capitals have more than a million inhabitants and which are located in various parts of Europe. We chose Sweden because it had a policy with the mildest restrictions on population movement during the pandemic. The collected data for the time period from February 15, 2020 until February 11, 2022. Using basic statistical methods, we found that there is a high degree of correlation between the data, which represent the mobility of people across the countries and the mobility of people in the capital of all seven observed European countries for six discrete categories. Based on this, it can be concluded that the mobility of people during the COVID-19 pandemic differs a lot from country to country, because the policies of governments in restricting the movement of people in the past two years have also differed significantly. Through this we want to show that data from Google Community Mobility Reports can be combined with many other data from various areas of human life and work and that various statistical processing of these data can be done to show various types of correlations with human mobility during the COVID-19 pandemic and how it affects the lives and economies of people around the world. © 2022 by the authors.
在2019冠状病毒病大流行的两年中，我们在七个欧洲国家(奥地利、法国、意大利、英国、塞尔维亚、西班牙和瑞典)及其首都(维也纳、巴黎、罗马、伦敦、贝尔格莱德、马德里和斯德哥尔摩)监测和比较了六个不同类别的人员流动情况。我们选择了首都人口超过100万、位于欧洲不同地区的国家。我们选择瑞典是因为它在大流行期间对人口流动的限制最温和。收集的数据时间为2020年2月15日至2022年2月11日。使用基本的统计方法，我们发现数据之间存在高度的相关性，这些数据代表了国家间的人口流动性和所有七个观察到的欧洲国家首都的人口流动性，分为六个离散类别。基于此，可以得出结论，在COVID-19大流行期间，各国之间的人员流动差异很大，因为过去两年各国政府限制人员流动的政策也有很大差异。通过这种方式，我们希望展示谷歌社区流动性报告中的数据可以与来自人类生活和工作各个领域的许多其他数据相结合，并且可以对这些数据进行各种统计处理，以显示COVID-19大流行期间与人类流动性的各种相关性，以及它如何影响世界各地人们的生活和经济。©2022作者所有。
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引用次数: 2
Process Measurement and Analysis in a Retail Chain to Improve Reverse Logistics Efficiency 提高逆向物流效率的零售链过程测量与分析
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta110722120g
G. Balázs, Z. Mészáros, C. Péterfi
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引用次数: 2
Reduce Transportation Costs Using the Milk-run System and Dynamo Stages in the Vehicle Manufacturing Industry 在汽车制造业中使用牛奶运行系统和发电机阶段降低运输成本
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta240622030s
I. Setiawan, H. Kurnia, Setiawan Setiawan, H. Purba, H. Hernadewita
The vehicle manufacturing industry is one of the automotive industries in Indonesia that produces four-wheeled vehicles with the main product being cars. The vehicle manufacturing industry has several sub-companies including Vehicle Manufacturers (VM) and Vehicle Sales (VS). The VM industry is experiencing problems with rising transportation operating costs. The same thing is also experienced by the corporate company such as VS. In 2020, transportation operational costs incurred by the company exceed the target, which can cause losses for the company. The purpose of this study is to find the cause of the problem and improve the transportation operational costs that continue to increase so that the company gets a reduction in transportation costs. The implementation of the improvement concept is carried out using the Dynamo++ stages starting from pre-study until the implementation of improvements. Through improvements to the milk-run system, it was found that vehicle manufacturers and vehicle sales benefited from a reduction in transportation costs of 77,861 USD or a decrease of 79.3%. © 2022 by the authors.
汽车制造业是印度尼西亚的汽车工业之一，主要生产四轮车辆，主要产品是汽车。汽车制造业有几个子公司，包括汽车制造商(VM)和汽车销售(VS)。虚拟机行业正面临运输运营成本上升的问题。同样的事情也发生在像vs这样的公司。2020年，公司的运输运营成本超过了目标，这可能会给公司带来损失。本研究的目的是找到问题的原因，改善持续增加的运输运营成本，使公司获得运输成本的降低。改进概念的实施是使用dynamo++阶段进行的，从预研究到改进的实施。通过改进牛奶运输系统，发现汽车制造商和汽车销售受益于运输成本减少77,861美元，减少79.3%。©2022作者所有。
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引用次数: 1
Deep Learning Based a Comprehensive Analysis for Waste Prediction 基于深度学习的废物预测综合分析
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta190822135u
A. Utku, Sema Kayapinar Kaya
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引用次数: 0
A Deteriorating Inventory Model under Overtime Production and Credit Policy for Stock- and Price Sensitive Demand Function 库存和价格敏感需求函数的加班生产和信贷政策下的恶化库存模型
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta210322106s
Nita H. Shah, Kavita Rabari, Ekta Patel
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引用次数: 3
Prioritization Road Safety Strategies Towards Zero Road Traffic Injury Using Ordinal Priority Approach 基于顺序优先方法的道路安全零伤害策略
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta190822150b
Mouhamed Bayane Bouraima, C. K. Kiptum, Kevin Maraka Ndiema, Yanjun Qiu, I. Tanackov
{"title":"Prioritization Road Safety Strategies Towards Zero Road Traffic Injury Using Ordinal Priority Approach","authors":"Mouhamed Bayane Bouraima, C. K. Kiptum, Kevin Maraka Ndiema, Yanjun Qiu, I. Tanackov","doi":"10.31181/oresta190822150b","DOIUrl":"https://doi.org/10.31181/oresta190822150b","url":null,"abstract":"","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48732351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Does Demographics Influence the Risk Behaviour of Urban Investors? A Machine Learning Model Based Approach 人口统计学是否影响城市投资者的风险行为？一种基于机器学习模型的方法
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta010422181b
Amrita Bhattacharya, Avijan Dutta, S. Kar
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引用次数: 2
Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods 使用FUCOM-MARCOS方法测量可持续性绩效指标
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta040722060b
I. Badi, L. J. Muhammad, M. Abubakar, Mahmut Bakır
{"title":"Measuring Sustainability Performance Indicators Using FUCOM-MARCOS Methods","authors":"I. Badi, L. J. Muhammad, M. Abubakar, Mahmut Bakır","doi":"10.31181/oresta040722060b","DOIUrl":"https://doi.org/10.31181/oresta040722060b","url":null,"abstract":"","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46323103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 28
A New Heuristic Algorithm for Multi Vehicle Routing Problem with AND/OR-Type Precedence Constraints and Hard Time Windows 具有AND/ or型优先约束和硬时间窗的多车路径问题的一种新的启发式算法
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta300622015b
U. Bahalke, N. Hamta, Amirreza Shojaeifard, Maryam Alimoradi, S. Rabiee
{"title":"A New Heuristic Algorithm for Multi Vehicle Routing Problem with AND/OR-Type Precedence Constraints and Hard Time Windows","authors":"U. Bahalke, N. Hamta, Amirreza Shojaeifard, Maryam Alimoradi, S. Rabiee","doi":"10.31181/oresta300622015b","DOIUrl":"https://doi.org/10.31181/oresta300622015b","url":null,"abstract":"","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49027163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Metaheuristics-based nesting of parts in sheet metal cutting operation 基于元启发式的钣金加工零件嵌套
Q1 Engineering
Operational Research in Engineering Sciences: Theory and Applications
Pub Date : 2022-08-15 DOI: 10.31181/oresta180222031d
S. Diyaley, S. Chakraborty
{"title":"Metaheuristics-based nesting of parts in sheet metal cutting operation","authors":"S. Diyaley, S. Chakraborty","doi":"10.31181/oresta180222031d","DOIUrl":"https://doi.org/10.31181/oresta180222031d","url":null,"abstract":"","PeriodicalId":36055,"journal":{"name":"Operational Research in Engineering Sciences: Theory and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46150939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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