{"title":"Effective Designing of Order Picking Systems Using Dynamic Simulation","authors":"P. Kašparová, J. Dyntar","doi":"10.18267/j.aip.149","DOIUrl":"https://doi.org/10.18267/j.aip.149","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44227103","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}
{"title":"Perception of Information Sensitivity for Internet Users in Saudi Arabia","authors":"K. Almotairi, Bilal Bataineh","doi":"10.18267/J.AIP.141","DOIUrl":"https://doi.org/10.18267/J.AIP.141","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44226124","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}
Robin Jonák, Zdenek Smutný, M. Simunek, Michal Dolezel
{"title":"Route and Travel Time Optimization for Delivery and Utility Services: An Industrial Viewpoint","authors":"Robin Jonák, Zdenek Smutný, M. Simunek, Michal Dolezel","doi":"10.18267/J.AIP.133","DOIUrl":"https://doi.org/10.18267/J.AIP.133","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45703432","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}
{"title":"The Process of Unit Price Extraction from Public Sector Contracts","authors":"T. Bruckner, Filip Vencovský","doi":"10.18267/J.AIP.139","DOIUrl":"https://doi.org/10.18267/J.AIP.139","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43785055","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}
{"title":"The Use and Teaching of Agile Software Development in the Czech Republic","authors":"Alena Buchalcevová","doi":"10.18267/J.AIP.142","DOIUrl":"https://doi.org/10.18267/J.AIP.142","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46185847","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}
Aelita Skaržauskienė, M. Maciuliene, Ornela Ramasauskaite
{"title":"The Digital Media in Lithuania: Combating Disinformation and Fake News","authors":"Aelita Skaržauskienė, M. Maciuliene, Ornela Ramasauskaite","doi":"10.18267/j.aip.134","DOIUrl":"https://doi.org/10.18267/j.aip.134","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43846426","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}
{"title":"Knowledge Management-Enabling Technologies: A Supplementary Classification","authors":"Monika Dávideková, M. Greguš, M. Zanker, V. Bureš","doi":"10.18267/j.aip.130","DOIUrl":"https://doi.org/10.18267/j.aip.130","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41617038","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}
{"title":"Data Mining from the Banking Sector´s Data","authors":"Anna Biceková, Ludmila Pusztová","doi":"10.18267/j.aip.123","DOIUrl":"https://doi.org/10.18267/j.aip.123","url":null,"abstract":"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.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67745064","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}
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