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Effective Designing of Order Picking Systems Using Dynamic Simulation 基于动态仿真的拣货系统有效设计
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2021-05-14 DOI: 10.18267/j.aip.149
P. Kašparová, J. Dyntar
In this article, we describe the use of dynamic simulation when designing an effective system for order picking within a distribution warehouse. The simulation model was created in the Witness software environment for discrete dynamic simulation and is a modification of a general simulation model of material flows in supplier systems. Using the example of a batch system for picking orders in a drugstore goods warehouse, we discuss the possibilities of using a general simulation model of material flows as an effective framework for the development of system support for warehouse processes using warehouse management system (WMS). The simulation model is based on the possibility of distributing any material flow in the supply system into a finite number of movements with the possibility of using one of the sources and fulfilment of certain conditions. In order to achieve the required optimisation of the order picking system, which depends, in particular, on the unknown duration of goods collection at the picking location, and on the duration of goods sorting in consolidation, the “what-if” analysis has been used as a tool to measure the impact of uncertainty of one or more variables entering the model on the uncertainty of output variables. The study showed that minimisation of the number of physical elements in the model leads to a significantly higher speed of its operation. By means of dynamic simulation, it is possible to test a large number of variants of the picking system layout in a relatively short time and minimise the risk of erroneous decisions associated with the implementation of a suitable WMS.
在这篇文章中,我们描述了动态模拟在设计一个有效的配送仓库拣货系统时的使用。该仿真模型是在Witness软件环境中创建的离散动态仿真,是对供应商系统中物料流的一般仿真模型的修改。以药店货物仓库中的批处理系统为例,我们讨论了使用物料流的一般模拟模型作为使用仓库管理系统(WMS)开发仓库流程系统支持的有效框架的可能性。仿真模型是基于将供应系统中的任何物料流分配为有限数量的运动的可能性,并且有可能使用其中一个来源并满足某些条件。为了实现订单拣选系统所需的优化,这尤其取决于在拣选地点收集货物的未知持续时间,以及在整合中分类货物的持续时间,“假设”分析已被用作衡量进入模型的一个或多个变量的不确定性对输出变量的不确定性的影响的工具。研究表明,模型中物理元素数量的最小化可以显著提高其运行速度。通过动态模拟,可以在相对较短的时间内测试大量的选择系统布局的变体,并最大限度地降低与实施合适的WMS相关的错误决策的风险。
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引用次数: 3
Perception of Information Sensitivity for Internet Users in Saudi Arabia 沙特阿拉伯互联网用户的信息敏感性认知
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.141
K. Almotairi, Bilal Bataineh
The rapid evolution of Internet use has led to the collection of big data about users, which has raised users’ privacy concerns about their personal information. This study adopts the hypothesis to evaluate the perception of the information sensitivity of Internet users in Saudi Arabia as research subjects. This study analyzes the sensitivity of 35 types of information through a questionnaire with answers from 508 participants from Saudi Arabia and estimates the cultural influence by comparing Saudi results with users from the USA, Brazil and Germany. Demographic information, such as age, gender, marital status and education, and attitude characteristics, such as disposition to privacy, propensity to take risks, privacy violation experience and trust in institutions, influence Saudi individuals’ perception of sensitivity towards various types of information. The survey results show slight differences in the sensitivity levels between Internet users in Saudi Arabia and their counterparts in other nations. Ultimately, this study contributes to improving the international model of information sensitivity perception between different nations.
互联网使用的快速演变导致了用户大数据的收集,这引发了用户对个人信息隐私的担忧。本研究采用假设来评估沙特阿拉伯互联网用户对信息敏感性的感知。本研究通过一份来自沙特阿拉伯的508名参与者的问卷分析了35种信息的敏感性,并通过将沙特的结果与美国、巴西和德国的用户进行比较来估计文化影响。人口统计信息,如年龄、性别、婚姻状况和教育,以及态度特征,如隐私倾向、冒险倾向、侵犯隐私的经历和对机构的信任,影响沙特个人对各种类型信息的敏感性。调查结果显示,沙特阿拉伯的互联网用户与其他国家的互联网用户的敏感度略有差异。最终,这项研究有助于改善不同国家之间信息敏感性感知的国际模式。
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引用次数: 4
Route and Travel Time Optimization for Delivery and Utility Services: An Industrial Viewpoint 运输和公用事业服务的路线和旅行时间优化:一个工业观点
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.133
Robin Jonák, Zdenek Smutný, M. Simunek, Michal Dolezel
V souvislosti s kontinualnim narůstem maloobchodnich prodejů přes internet a s tim spojených aktivit zasilkových služeb přichazi potřeba inovovat soucasna řeseni v oblasti spravy a řizeni vozoveho parku. Uvedene podporuje take rozvoj konceptu Logistiky 4.0, který odkazuje na masivni digitalni transformaci a zavaděni kyber-fyzických systemů postavených na uměle inteligenci. Diky tomu mohou kupřikladu zasilkove firmy snižit sve provozni naklady, zachovat si konkurenceschopnost a velikost marže. Cilem tohoto clanku je představit zakladni principy, z kterých vychazi nově navržena funkcionalita optimalizace trasy a dojezdových casů. Tato funkcionalita je zamýslena jako soucast inteligentnich dopravnich systemů pro podporu provozovani zasilkových a obslužných služeb. Přinos předkladaneho clanku miři předevsim do oblasti praxe. Clanek poskytuje profesionalům vhled do teto problematiky. Uvedeny jsou take ramcove propocty financni uspory dosažene zavedenim takoveho řeseni v praxi.
随着互联网零售额的持续增长和邮件服务的相关活动,有必要在车队管理和管理领域创新当前的解决方案。它还支持物流4.0概念的发展,该概念指的是大规模的数字化转型和引入基于人工智能的网络物理系统。因此,例如,邮购公司可以减少运营费用,保持竞争力和利润率。本clank的目的是介绍新设计的路线优化和到达时间功能的基本原理。该功能旨在作为智能运输系统的一部分,支持邮件和处理服务的运行。所介绍的clank的贡献主要针对实践领域。该部落为专业人士提供了对这些问题的深入了解。还提到了通过在实践中实施这一解决方案而实现的财政援助比率。
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引用次数: 1
The Process of Unit Price Extraction from Public Sector Contracts 从公共部门合同中提取单价的过程
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.139
T. Bruckner, Filip Vencovský
Czech government institutions commissioned a research on extracting usual unit prices from public IT contracts to aid future public tender sizing. The goal of the project is to obtain millions of contracts from the public register, convert them to full text, extract unit prices from the text and publish a pricelist of IT industry manday prices. This paper designs the process and method of price extraction, demonstrates and evaluates the result on five iterations of extraction and discusses the experience of two years of project performance. The process is designed as a set of repeatable workflows and specified activity and role description. The method is designed as a combination of automated and manual actions. Due to the format and content variability of involved documents and the low mistake tolerance, the possibility of automated extraction of unit prices from full text contract is limited, and human workforce for validation is crucial.
捷克政府机构委托进行了一项关于从公共IT合同中提取通常单价的研究,以帮助未来的公开招标规模。该项目的目标是从公共登记册中获取数百万份合同,将其转换为全文,从文本中提取单价,并发布IT行业日常价格的价格表。本文设计了价格抽取的流程和方法,对抽取的五次迭代结果进行了论证和评价,并讨论了两年工程绩效的经验。流程被设计为一组可重复的工作流以及指定的活动和角色描述。该方法被设计为自动和手动操作的结合。由于所涉及文档的格式和内容的可变性以及低容错性,从全文合同中自动提取单价的可能性是有限的,并且用于验证的人力是至关重要的。
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引用次数: 0
The Use and Teaching of Agile Software Development in the Czech Republic 捷克共和国敏捷软件开发的使用与教学
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-12-31 DOI: 10.18267/J.AIP.142
Alena Buchalcevová
Digitalni transformace vyžaduje uplatněni efektivnich metod, technik a nastrojů pro vývoj inovativnich IT řeseni. Tuto ulohu plni agilni přistupy k vývoji softwaru, ktere jsou masivně využivany v praxi, o cemž svědci cela řada průzkumů realizovaných ve světě. Cilem tohoto sděleni je informovat o průzkumech zaměřených na agilni přistupy k vývoji softwaru, ktere byly realizovany v Ceske republice. Je to jednak průzkum zaměřený na využivani agilnich přistupů k vývoji softwaru v praxi firem v Ceske republice, který byl realizovan v roce 2019, a průzkum výuky agilnich přistupů na univerzitach v Ceske republice realizovaný v roce 2020. Sděleni ukazuje rozpor mezi potřebami praxe a stavem připravy odborniků na vysokých skolach a porovnava stav v Ceske republice se stavem ve světě.
数字化转型需要应用有效的方法、技术和设置来开发创新的IT解决方案。这种存储充满了敏捷的软件开发方法,这些方法在实践中被大量使用,世界上进行的大量调查证明了这一点。本文的目的是介绍在捷克共和国进行的关于软件开发敏捷方法的调查。这是一项于2019年进行的调查,重点关注捷克共和国公司在软件开发实践中使用敏捷方法的情况,也是一项于2020年进行的捷克共和国大学教授敏捷方法的调查。本文展示了实践需求与大学专家培养状况之间的矛盾,以及捷克共和国与世界各国的比较。
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引用次数: 0
The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review 推特在COVID-19危机中的作用:系统文献综述
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-09-29 DOI: 10.18267/j.aip.138
Mahsa Dalili Shoaei, M. Dastani
At the end of 2019, COVID-19 (Coronavirus 2019) emerged in Wuhan, China, and spread rapidly worldwide The use of virtual social networks, especially Twitter, has increased due to the present condition The purpose of the present systematic literature review is to review the investigations on Twitter's role in the COVID-19 crisis For this purpose, an appropriate search strategy was used to extract the studies conducted in the Web of Science and PubMed databases In the end, 24 articles were reviewed The results indicate that in the period of the COVID-19 pandemic, the content and tweets posted on Twitter were affected by this crisis, and various people such as the general public, health professionals, and politicians were sharing opinions, emotions, personal experience, and educational content about exposure to COVID-19 on this social media Therefore, the speed of providing information to people has been one of the main advantages of Twitter during the crisis of COVID-19;however, the risk of using invalid information without scientific citation is also one of the most important concerns of using Twitter among people as well as health and governmental organizations Thus, users should evaluate information accuracy more carefully and pay attention to the quality and validity of information before employing or sharing it Governments and professionals can also prevent this disease's contagion even in similar future crises by employing Twitter correctly in the period of crisis and using the useful experience gained from applying social networks in the outbreak of COVID-19 Copyright © 2020 by the author(s) Licensee Prague University of Economics and Business, Czech Republic This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (CC BY), which permits use, distribution and reproduction in any medium, provided the original publication is properly cited, see http://creativecommons org/licenses/by/4 0/ No use, distribution or reproduction is permitted which does not comply with these terms
2019年底,新冠肺炎(2019冠状病毒)在中国武汉出现,并在全球迅速传播。由于目前的情况,虚拟社交网络,尤其是推特的使用有所增加。本系统文献综述的目的是回顾推特在新冠肺炎危机中的作用。为此,使用适当的搜索策略来提取在Web of Science和PubMed数据库中进行的研究。最后,对24篇文章进行了审查。结果表明,在新冠肺炎大流行期间,推特上发布的内容和推文受到了这场危机的影响,公众、卫生专业人员和政治家等各种人士正在分享意见,情绪、个人经历和关于接触新冠肺炎的教育内容。因此,在新冠肺炎危机期间,向人们提供信息的速度一直是推特的主要优势之一;然而,在没有科学引文的情况下使用无效信息的风险也是人们以及卫生和政府组织使用推特最重要的问题之一。因此,用户应该更仔细地评估信息的准确性,并在使用或共享信息之前注意信息的质量和有效性政府和专业人员也可以通过在危机期间正确使用推特,并利用在疫情爆发时应用社交网络所获得的有用经验,即使在未来类似的危机中也可以防止这种疾病的传播新冠肺炎版权所有©2020作者许可证持有人捷克共和国布拉格经济与商业大学本文是根据知识共享署名许可证(CC by)的条款和条件分发的开放获取文章,该许可证允许在任何媒体上使用、分发和复制,前提是原始出版物被正确引用,请参见http://creativecommonsorg/licenses/by/4 0/不符合这些条款的,不允许使用、分发或复制
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引用次数: 10
The Digital Media in Lithuania: Combating Disinformation and Fake News 立陶宛的数字媒体:打击虚假信息和假新闻
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-08-14 DOI: 10.18267/j.aip.134
Aelita Skaržauskienė, M. Maciuliene, Ornela Ramasauskaite
The prevalence of so-called “fake news” is a relatively recent social phenomenon that is linked to disinformation, misinformation and other forms of networked manipulation facilitated by the rise of the Internet and online social media. The spread of misinformation is among the most pressing challenges of our time. Sources from which disinformation originates are constantly changing and present an enormous challenge for real-time detection algorithms and more targeted science based socio-technical interventions. The primary aim of this paper is to illuminate the practices and interpretations, focusing on three perspectives: general attitudes to fake news, perceived interaction with disinformation and opinion on counteraction with respect to fake news. The innovative character of the research is achieved by the focus on community solutions to combat disinformation and the collaboration between media users, media organizations, scientists, communication managers, journalists and other important actors in the media ecosystem. Based on insights from interviews with communication field experts, the paper sheds light on the efforts of Lithuanian society to confront the problem of fake news in digital media environment. Lithuania is also an interesting case study for fake news due to its status as a former Soviet state now in the EU. Our research indicates that not all media users are prepared and/or have the necessary competencies to combat fake news, so that citizen engagement might actually negatively influence the quality of the counteraction process. Indeed, proactive citizens’ organizations and NGOs could be an important catalyst fostering collaboration between stakeholders. The responsibility of governments could be to create the structures, methodologies and supporting educational activities to involve the stakeholders in collaborating activities combating disinformation.
所谓“假新闻”的流行是一种相对较新的社会现象,与虚假信息、错误信息和其他形式的网络操纵有关,这些网络操纵是由互联网和在线社交媒体的兴起促成的。错误信息的传播是我们这个时代最紧迫的挑战之一。虚假信息来源不断变化,对实时检测算法和更有针对性的基于科学的社会技术干预提出了巨大挑战。本文的主要目的是阐明实践和解释,重点从三个角度:对假新闻的普遍态度、与虚假信息的感知互动以及对反制假新闻的看法。这项研究的创新性是通过关注打击虚假信息的社区解决方案以及媒体用户、媒体组织、科学家、传播管理人员、记者和媒体生态系统中其他重要参与者之间的合作实现的。基于对传播领域专家的采访,本文揭示了立陶宛社会在数字媒体环境中应对假新闻问题的努力。立陶宛也是一个有趣的假新闻案例研究,因为它是前苏联国家,现在在欧盟。我们的研究表明,并非所有媒体用户都准备好和/或具备打击假新闻的必要能力,因此公民参与实际上可能会对反制过程的质量产生负面影响。事实上,积极主动的公民组织和非政府组织可以成为促进利益攸关方之间合作的重要催化剂。政府的责任可以是建立结构、方法和支持教育活动,让利益相关者参与打击虚假信息的合作活动。
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引用次数: 3
Knowledge Management-Enabling Technologies: A Supplementary Classification 知识管理使能技术:一个补充分类
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2020-07-29 DOI: 10.18267/j.aip.130
Monika Dávideková, M. Greguš, M. Zanker, V. Bureš
Scientific and technological developments in informatics enable intensive transformation of data into valuable information. Enriched with context, information may be turned into knowledge, allowing organizations to optimize their processes and profile themselves as learning knowledge organizations. Several classifications of knowledge and knowledge management are available in scientific literature and research publications. In this paper the implementation and application of information and communication technology in knowledge management is being assessed from the perspective of synchrony and mutual interaction among collaborating parties.  Following the PRISMA scheme, a systematic review procedure using Scopus and Web of Science databases was conducted. Obtained manuscripts underwent manual content analysis. The outcome of this analysis represents the classification of widespread ICTs into diverse categories based on extensive literature research. It specifies an original type of classification by connecting intertwined synchronicity and interaction as the main classification criteria, and it provides examples of commonly used ICTs in business practice. The introduced classification aims to deepen the comprehension of ICTs, which may lead to improved efficiency and/or eligibility of technological implementations and applications of knowledge management based on the undeniably enormous benefits of the use of ICTs in processing of business operations.
信息学的科学和技术发展使数据能够密集地转化为有价值的信息。通过丰富上下文,信息可以转化为知识,允许组织优化其过程并将自己描述为学习型知识组织。在科学文献和研究出版物中可以找到知识和知识管理的几种分类。本文从合作方的同步性和相互交互性的角度对信息通信技术在知识管理中的实施和应用进行了评价。按照PRISMA方案,使用Scopus和Web of Science数据库进行系统评审程序。获得的手稿进行了手工内容分析。这一分析的结果表明,基于广泛的文献研究,将广泛使用的信息通信技术分为不同的类别。它通过将相互交织的同步性和交互性连接起来作为主要分类标准,指定了一种原始类型的分类,并提供了在商业实践中常用的信息通信技术的示例。引入的分类旨在加深对信息通信技术的理解,这可能会提高技术实施和知识管理应用的效率和/或资格,因为在处理业务操作中使用信息通信技术带来了不可否认的巨大好处。
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引用次数: 4
Data Mining from the Banking Sector´s Data 银行业数据的数据挖掘
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2019-07-10 DOI: 10.18267/j.aip.123
Anna Biceková, Ludmila Pusztová
This paper deals with the prediction of company bankruptcies and defines how this undesirable state can be prevented. Currently, these methods include modern approaches from the area of data mining that can help companies in many ways. In a practical application of data mining methods for predicting the future state of a company, financial indicators of Polish companies were used. In the analyses, we used algorithms suitable for bankruptcy prediction – decision trees that provide a simple interpretation of results. In some experiments, we also used attribute selection methods, LASSO, or the PCA method. The workflow is governed by the CRISP-DM methodology, which describes the important steps needed for different analytical tasks. Part of the article is an analysis of the current state, which presents solutions to this problem suggested by other authors. After evaluating all models, we concluded that the C5.0 algorithm is capable of predicting a company’s bankruptcy or non-bankruptcy with 97.07 % accuracy, without the use of attribute selection methods.
本文讨论了公司破产的预测,并定义了如何防止这种不良状态。目前,这些方法包括来自数据挖掘领域的现代方法,这些方法可以在许多方面帮助公司。在数据挖掘方法预测公司未来状态的实际应用中,使用了波兰公司的财务指标。在分析中,我们使用了适合破产预测的算法——决策树,它提供了对结果的简单解释。在一些实验中,我们还使用了属性选择方法、LASSO或PCA方法。工作流程由CRISP-DM方法管理,该方法描述了不同分析任务所需的重要步骤。文章的一部分是对现状的分析,并提出了其他作者提出的解决问题的方法。在对所有模型进行评估后,我们得出结论,C5.0算法能够在不使用属性选择方法的情况下预测公司破产或非破产,准确率为97.07%。
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引用次数: 1
Kryptoměny 加密货币
Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2018-12-31 DOI: 10.18267/j.aip.121
Petr Tesar
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引用次数: 0
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Acta Informatica Pragensia
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