Occupational health and safety (OHS) of warehouse workers is a crucial issue for warehouse managers. The importance of OHS practices has increased over recent years due both to high levels of fatal accidents in the logistics industry, and chronic shortage of labor in the sector, which requires systematic efforts to reduce absenteeism and increase warehouse employee motivation. This article aims to address the current state of some fundamental OHS practices of warehouse workers in Bulgarian manufacturing and trading organizations, and to outline some recommendations for their future improvements. The data were collected using the questionnaire survey method among 91 manufacturing and trading organizations in Bulgaria, which operate warehouses, and were processed using Chi-square analysis. The results show that the share of trading organizations, which implement OHS practices is lower, in comparison with surveyed manufacturing organizations. In addition, small organizations lag behind medium and large regarding the use of fundamental measures to protect warehouse workers. The main research findings indicate that there is a need to expand the frequency of OHS practices applied in trading organizations through a wider implementation of joint firefighting drills with fire and emergency safety authorities, adaptation of warehouse infrastructure, clear designation of emergency exits and placement of signs/work instructions for safe work at workplaces. Furthermore, it is critical to increase the use of appropriate work clothing and personal protective equipment (PPE), as well as to provide regular safety briefings in trading warehouses and small organizations.
{"title":"Current state and improvement prospects of warehouse workers health and safety practices in Bulgarian manufacturing and trading organizations","authors":"Miroslav Stefanov","doi":"10.22306/al.v10i3.408","DOIUrl":"https://doi.org/10.22306/al.v10i3.408","url":null,"abstract":"Occupational health and safety (OHS) of warehouse workers is a crucial issue for warehouse managers. The importance of OHS practices has increased over recent years due both to high levels of fatal accidents in the logistics industry, and chronic shortage of labor in the sector, which requires systematic efforts to reduce absenteeism and increase warehouse employee motivation. This article aims to address the current state of some fundamental OHS practices of warehouse workers in Bulgarian manufacturing and trading organizations, and to outline some recommendations for their future improvements. The data were collected using the questionnaire survey method among 91 manufacturing and trading organizations in Bulgaria, which operate warehouses, and were processed using Chi-square analysis. The results show that the share of trading organizations, which implement OHS practices is lower, in comparison with surveyed manufacturing organizations. In addition, small organizations lag behind medium and large regarding the use of fundamental measures to protect warehouse workers. The main research findings indicate that there is a need to expand the frequency of OHS practices applied in trading organizations through a wider implementation of joint firefighting drills with fire and emergency safety authorities, adaptation of warehouse infrastructure, clear designation of emergency exits and placement of signs/work instructions for safe work at workplaces. Furthermore, it is critical to increase the use of appropriate work clothing and personal protective equipment (PPE), as well as to provide regular safety briefings in trading warehouses and small organizations.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280569","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}
Meteorology affects every part of life. We need to know the weather conditions for our everyday life, but also for the work activities of the company. Transport is a very sensitive area that is very responsive to changing weather conditions. Each type of transport is sensitive to different weather phenomena. The article provides basic information about weather, its role in transportation, and the fact that hazardous weather phenomena can significantly affect the speed of delivery, safety and quality of transportation.
{"title":"Role of meteorology in logistics planning","authors":"Miriam Jarosova","doi":"10.22306/al.v10i3.405","DOIUrl":"https://doi.org/10.22306/al.v10i3.405","url":null,"abstract":"Meteorology affects every part of life. We need to know the weather conditions for our everyday life, but also for the work activities of the company. Transport is a very sensitive area that is very responsive to changing weather conditions. Each type of transport is sensitive to different weather phenomena. The article provides basic information about weather, its role in transportation, and the fact that hazardous weather phenomena can significantly affect the speed of delivery, safety and quality of transportation.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280568","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}
The article focuses on the importance of mobile applications in enterprises with a focus on logistics in the service sector. In the theoretical part, individual software applications in the field of occupational health and safety, fire protection, which are used in Slovakia and the Czech Republic are clearly described. The article contains a brief overview of the legislative regulations on the basis of which the obligations for management decisions in enterprises arise. A telephone survey was conducted in 110 micro, small and medium-sized enterprises between 2022 and 2023 in order to determine the use of software solutions in ensuring the fulfilment of obligations in the field of occupational safety and health and fire protection. To collect data, research questions were set and a questionnaire was developed, which included 6 merit questions, identification questions and a specific question aimed at finding out the prioritisation of the most preferred mobile application features in the study area. The questions were closed-ended, with options where the respondent could choose only one answer. SPSS for Windows version 21.0 was used for statistical analysis and processing of the collected data. We used methods of statistical description, analysed using relative abundance, arithmetic mean, standard deviation and median. At the level of statistical inference, we used chi-square goodness-of-fit tests to analyse categorical variables. We also used nonparametric tests, Friedman analysis of variance, 3D pie charts, and 3D group bar charts. We found that business representatives had a significantly higher preference for the functionality "record of initial and recurrent BOZP and PO training", followed by the second most preferred functionality "OSH inspections and fire prevention inspections". The research focused on logistics enterprises.
本文重点介绍了移动应用程序在企业中的重要性,重点是服务部门的物流。在理论部分,明确描述了在斯洛伐克和捷克共和国使用的职业健康和安全、消防领域的个别软件应用。本文简要概述了企业管理决策义务产生的立法规定。在2022年至2023年期间,对110家微型、小型和中型企业进行了电话调查,以确定在确保履行职业安全和健康以及防火领域义务方面使用软件解决方案的情况。为了收集数据,我们设置了研究问题,并开发了一份问卷,其中包括6个优点问题,识别问题和一个特定问题,旨在找出研究领域中最受欢迎的移动应用程序功能的优先级。这些问题是封闭式的,被调查者只能选择一个答案。采用SPSS for Windows version 21.0对收集到的数据进行统计分析和处理。采用统计描述方法,采用相对丰度、算术平均值、标准差和中位数进行分析。在统计推断水平上,我们使用卡方拟合优度检验来分析分类变量。我们还使用了非参数检验、弗里德曼方差分析、3D饼图和3D组条形图。我们发现,业务代表对“最初和经常的BOZP和PO培训记录”功能的偏好明显更高,其次是“职业安全与健康检查和防火检查”。本研究以物流企业为研究对象。
{"title":"The use of mobile applications in logistics of services","authors":"Marian Dires, Sona Chovanova Supekova","doi":"10.22306/al.v10i3.420","DOIUrl":"https://doi.org/10.22306/al.v10i3.420","url":null,"abstract":"The article focuses on the importance of mobile applications in enterprises with a focus on logistics in the service sector. In the theoretical part, individual software applications in the field of occupational health and safety, fire protection, which are used in Slovakia and the Czech Republic are clearly described. The article contains a brief overview of the legislative regulations on the basis of which the obligations for management decisions in enterprises arise. A telephone survey was conducted in 110 micro, small and medium-sized enterprises between 2022 and 2023 in order to determine the use of software solutions in ensuring the fulfilment of obligations in the field of occupational safety and health and fire protection. To collect data, research questions were set and a questionnaire was developed, which included 6 merit questions, identification questions and a specific question aimed at finding out the prioritisation of the most preferred mobile application features in the study area. The questions were closed-ended, with options where the respondent could choose only one answer. SPSS for Windows version 21.0 was used for statistical analysis and processing of the collected data. We used methods of statistical description, analysed using relative abundance, arithmetic mean, standard deviation and median. At the level of statistical inference, we used chi-square goodness-of-fit tests to analyse categorical variables. We also used nonparametric tests, Friedman analysis of variance, 3D pie charts, and 3D group bar charts. We found that business representatives had a significantly higher preference for the functionality \"record of initial and recurrent BOZP and PO training\", followed by the second most preferred functionality \"OSH inspections and fire prevention inspections\". The research focused on logistics enterprises.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280089","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}
The COVID-19 pandemic had a significant bullwhip effect, which resulted in a cash flow bullwhip (CFB) in the Moroccan FMCG industry. As illustrated by a previous study, some companies were more affected by CFB than others. This indicates that CFB could be correlated to some specific aspects or characteristics of these companies. The objective of this article is to thoroughly examine the connections between CFB control and the company's internal control performance, financial performance, and supply chain performance. Therefore, a field study is conducted on the producers of detergent products. The results confirm that some performance criteria are directly correlated to the degree of exposure to CFB. In fact, a firm is able to regulate CFB when it has an effective internal control system, a reliable supply chain, and strong financial efficiency. However, the relative importance of these performance criteria is not evident. This opens the opportunity to develop a multi-criteria model that could hierarchize the different performance criteria.
{"title":"On the relationship between cash flow bullwhip and the company performance: study of the Moroccan detergent products branch","authors":"Hicham Lamzaouek, Hicham Drissi, Karima Mialed","doi":"10.22306/al.v10i3.403","DOIUrl":"https://doi.org/10.22306/al.v10i3.403","url":null,"abstract":"The COVID-19 pandemic had a significant bullwhip effect, which resulted in a cash flow bullwhip (CFB) in the Moroccan FMCG industry. As illustrated by a previous study, some companies were more affected by CFB than others. This indicates that CFB could be correlated to some specific aspects or characteristics of these companies. The objective of this article is to thoroughly examine the connections between CFB control and the company's internal control performance, financial performance, and supply chain performance. Therefore, a field study is conducted on the producers of detergent products. The results confirm that some performance criteria are directly correlated to the degree of exposure to CFB. In fact, a firm is able to regulate CFB when it has an effective internal control system, a reliable supply chain, and strong financial efficiency. However, the relative importance of these performance criteria is not evident. This opens the opportunity to develop a multi-criteria model that could hierarchize the different performance criteria.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342637","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}
The interactivity of information flows is becoming a major success factor and leading to significant changes in the field of e-business. The main purpose of the study is to evaluate the effectiveness of Internet marketing in e-business. It has been determined that ensuring business efficiency is inextricably linked with the use of Internet technologies in building communications with the target audience, logistics and supply chain management. The need for the introduction of Internet marketing in electronic business is highlighted to achieve and ensure efficiency, profitability and fulfillment of key KPI indicators. The method of economic and statistical analysis and evaluation of the effectiveness of Internet marketing in the context of e-business sectors in the world was applied. The key theoretical aspects of e-business development and its main directions are considered. The main indicators for evaluating the effectiveness of Internet marketing in e-business are identified, which allow determining the final structure of Internet marketing effectiveness indicators by industry. The organization of electronic business based on the proposed KPI indicators will provide a function to control the effectiveness of marketing, logistics, which is achieved by increasing conversion, reducing costs and improving competitive positions. A statistical analysis of world sales volumes in the field of e-business was carried out using Internet marketing tools. The results of the study, in contrast to existing approaches, made it possible to substantiate the need to apply in practice the formed methodology for the formation of KPI indicators their further control to ensure the effectiveness of Internet marketing.
{"title":"Evaluation of the efficiency of internet marketing in electronic business","authors":"Mahmud Dalbouh","doi":"10.22306/al.v10i3.412","DOIUrl":"https://doi.org/10.22306/al.v10i3.412","url":null,"abstract":"The interactivity of information flows is becoming a major success factor and leading to significant changes in the field of e-business. The main purpose of the study is to evaluate the effectiveness of Internet marketing in e-business. It has been determined that ensuring business efficiency is inextricably linked with the use of Internet technologies in building communications with the target audience, logistics and supply chain management. The need for the introduction of Internet marketing in electronic business is highlighted to achieve and ensure efficiency, profitability and fulfillment of key KPI indicators. The method of economic and statistical analysis and evaluation of the effectiveness of Internet marketing in the context of e-business sectors in the world was applied. The key theoretical aspects of e-business development and its main directions are considered. The main indicators for evaluating the effectiveness of Internet marketing in e-business are identified, which allow determining the final structure of Internet marketing effectiveness indicators by industry. The organization of electronic business based on the proposed KPI indicators will provide a function to control the effectiveness of marketing, logistics, which is achieved by increasing conversion, reducing costs and improving competitive positions. A statistical analysis of world sales volumes in the field of e-business was carried out using Internet marketing tools. The results of the study, in contrast to existing approaches, made it possible to substantiate the need to apply in practice the formed methodology for the formation of KPI indicators their further control to ensure the effectiveness of Internet marketing.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279454","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}
Planned methods may be developed to improve the efficiency of building construction. The construction business is profoundly impacted by the prevalence of inaccurate cost and schedule prediction. The main strategy to improve the project performance is to evaluate the hybrid sustainable materials using the artificial neural network (ANN) method based on the effective factors in construction projects in Iraq. This strategy needs an effective method to classify the project input representation and specify the accurate activity of each factor. This paper uses a hybrid artificial neural network to correlate and classify the sustainable hybrid of construction projects to evaluate their performance. The contribution of this method is the selection of the Multi-Criteria Decision-Maker method (MCDM) based on time and cost-effective factors correlated with the artificial neural network method. A dynamic selection procedure for project materials may be created using the existing technique as an evolutionary model for successful project completion. The MCDM observed that the appropriate sustainable material was considered as the main factor with a rank of 0.823 for cost effect and 0.735 for time effect and the main influence factor in Iraqi projects was the building height. The results present superior functional cost evaluation results correlated with the selection of hybrid sustainable materials.
{"title":"Development of a hybrid artificial neural network method for evaluation of the sustainable construction projects","authors":"Halah Albasri, Sepanta Naimi","doi":"10.22306/al.v10i3.378","DOIUrl":"https://doi.org/10.22306/al.v10i3.378","url":null,"abstract":"Planned methods may be developed to improve the efficiency of building construction. The construction business is profoundly impacted by the prevalence of inaccurate cost and schedule prediction. The main strategy to improve the project performance is to evaluate the hybrid sustainable materials using the artificial neural network (ANN) method based on the effective factors in construction projects in Iraq. This strategy needs an effective method to classify the project input representation and specify the accurate activity of each factor. This paper uses a hybrid artificial neural network to correlate and classify the sustainable hybrid of construction projects to evaluate their performance. The contribution of this method is the selection of the Multi-Criteria Decision-Maker method (MCDM) based on time and cost-effective factors correlated with the artificial neural network method. A dynamic selection procedure for project materials may be created using the existing technique as an evolutionary model for successful project completion. The MCDM observed that the appropriate sustainable material was considered as the main factor with a rank of 0.823 for cost effect and 0.735 for time effect and the main influence factor in Iraqi projects was the building height. The results present superior functional cost evaluation results correlated with the selection of hybrid sustainable materials.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279915","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}
Alvaro Hernandez-Tamurejo, Beatriz Herraez, Maria Agudo
Teleworking has been proposed by organizations and policymakers as a key strategy to help reduce the number of commutes and boost employee satisfaction. Since telework may be linked to a tool to reduce traffic in urban areas, this research aims to determine the impact that telework has on traffic congestion in Madrid (Spain), given a post-Covid19 context in which many organizations have implemented teleworking in the long term. This study provides evidence that teleworking has had a limited favourable impact on traffic in the city of Madrid based on the correlation between telework implementation and the traffic data collected from 7.365 traffic sensors located in Madrid that are distributed and managed by the Madrid City Council. Covid19 represents an influx point with regard to telework implementation, allowing this kind of research to interpret the answer to the question. The results of our research, through regression calculations and Pearson's correlation coefficient, show that telework in the city of Madrid does not generate a positive impact on traffic during peak times proportional to the increase of telework, as expected based on the existing literature. However, there are other elements that influence the modal choice that may affect this correlation, considering that teleworking allows people greater residence flexibility and that residence location and distance to the workplace are factors that significantly influence the modal choice of transport.
{"title":"Telework and the limited impact on traffic reduction – Case study Madrid (Spain)","authors":"Alvaro Hernandez-Tamurejo, Beatriz Herraez, Maria Agudo","doi":"10.22306/al.v10i3.411","DOIUrl":"https://doi.org/10.22306/al.v10i3.411","url":null,"abstract":"Teleworking has been proposed by organizations and policymakers as a key strategy to help reduce the number of commutes and boost employee satisfaction. Since telework may be linked to a tool to reduce traffic in urban areas, this research aims to determine the impact that telework has on traffic congestion in Madrid (Spain), given a post-Covid19 context in which many organizations have implemented teleworking in the long term. This study provides evidence that teleworking has had a limited favourable impact on traffic in the city of Madrid based on the correlation between telework implementation and the traffic data collected from 7.365 traffic sensors located in Madrid that are distributed and managed by the Madrid City Council. Covid19 represents an influx point with regard to telework implementation, allowing this kind of research to interpret the answer to the question. The results of our research, through regression calculations and Pearson's correlation coefficient, show that telework in the city of Madrid does not generate a positive impact on traffic during peak times proportional to the increase of telework, as expected based on the existing literature. However, there are other elements that influence the modal choice that may affect this correlation, considering that teleworking allows people greater residence flexibility and that residence location and distance to the workplace are factors that significantly influence the modal choice of transport.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280118","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}
Olexiy Pavlenko, Dmitriy Muzylyov, Vitalii Ivanov, Marian Bartoszuk, Jerzy Jozwik
The paper highlights the main aspects of designing safety supply chains for grain cargoes and other agricultural commodity delivery. The study's relevance is caused by the fact that periodic port blockades do not allow Ukraine to carry out reliable exports of agricultural products along classical routes. Therefore, there was a need to find new alternatives for exporting agricultural commodities, primarily grain. The study aims to substantiate, describe, structure, and mathematically formalize proposed delivery options and choose the best. The research justifies picking supply chains using automobile and railway transport from Ukraine to the European Union countries. According to three proposed technologies, grain cargoes are exported in batches using containers. The advisability is justified for using each considered delivery option regarding technological aspects. Mathematical modeling, particularly regression analysis, is used to design supply chains. In this case, selecting the best technology is confirmed by corresponding calculations according to designed regression models. The presented option for supplying agricultural commodities is the safest and most reliable but more expensive. However, such logistics will be an excellent solution to reduce the negative consequences of a possible food crisis for the global economy.
{"title":"Management of the grain supply chain during the conflict period: case study Ukraine","authors":"Olexiy Pavlenko, Dmitriy Muzylyov, Vitalii Ivanov, Marian Bartoszuk, Jerzy Jozwik","doi":"10.22306/al.v10i3.406","DOIUrl":"https://doi.org/10.22306/al.v10i3.406","url":null,"abstract":"The paper highlights the main aspects of designing safety supply chains for grain cargoes and other agricultural commodity delivery. The study's relevance is caused by the fact that periodic port blockades do not allow Ukraine to carry out reliable exports of agricultural products along classical routes. Therefore, there was a need to find new alternatives for exporting agricultural commodities, primarily grain. The study aims to substantiate, describe, structure, and mathematically formalize proposed delivery options and choose the best. The research justifies picking supply chains using automobile and railway transport from Ukraine to the European Union countries. According to three proposed technologies, grain cargoes are exported in batches using containers. The advisability is justified for using each considered delivery option regarding technological aspects. Mathematical modeling, particularly regression analysis, is used to design supply chains. In this case, selecting the best technology is confirmed by corresponding calculations according to designed regression models. The presented option for supplying agricultural commodities is the safest and most reliable but more expensive. However, such logistics will be an excellent solution to reduce the negative consequences of a possible food crisis for the global economy.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280567","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}
Luis Berrones-Sanz, Estefania Perez-Diaz, Dulce Becerril, Esteban Diaz
The purpose of this study is to evaluate the use of the Apriori association rule mining algorithm to classify and predict the severity of the 718,565 accidents involving freight transport vehicles in Mexico, which occurred between 2009 and 2018. The accidents were classified into those in which there was only material damage or injured people {Severity=0} and in those in which people died {Severity=1}. 115 association rules were obtained, 79 corresponding to non-fatal accidents, and 36 to fatal ones. The main factors associated with the severity of the accident belong to male subjects, involved in accidents that occur on weekends and in suburban areas, and where the probability of the accident being fatal is 1.69 times greater. Thus, the results of using the association rules to relate demographic and circumstantial characteristics of the accident with the severity of the injuries show an accuracy of just over 65%. Therefore, despite the limitations that may occur due to the omission of relevant variables, and the fact that the results show little precision, the feasibility of using machine learning techniques and, specifically, the association rules as promising tools to help analyze accidents and help launch road safety interventions more effectively is manifested.
{"title":"Predicting crash injury severity in road freight flows with association rules algorithms","authors":"Luis Berrones-Sanz, Estefania Perez-Diaz, Dulce Becerril, Esteban Diaz","doi":"10.22306/al.v10i3.410","DOIUrl":"https://doi.org/10.22306/al.v10i3.410","url":null,"abstract":"The purpose of this study is to evaluate the use of the Apriori association rule mining algorithm to classify and predict the severity of the 718,565 accidents involving freight transport vehicles in Mexico, which occurred between 2009 and 2018. The accidents were classified into those in which there was only material damage or injured people {Severity=0} and in those in which people died {Severity=1}. 115 association rules were obtained, 79 corresponding to non-fatal accidents, and 36 to fatal ones. The main factors associated with the severity of the accident belong to male subjects, involved in accidents that occur on weekends and in suburban areas, and where the probability of the accident being fatal is 1.69 times greater. Thus, the results of using the association rules to relate demographic and circumstantial characteristics of the accident with the severity of the injuries show an accuracy of just over 65%. Therefore, despite the limitations that may occur due to the omission of relevant variables, and the fact that the results show little precision, the feasibility of using machine learning techniques and, specifically, the association rules as promising tools to help analyze accidents and help launch road safety interventions more effectively is manifested.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136280419","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}
Toroidal is an inductor with an O-ring core. In 2021 there was an increase in the percentage of toroidal disability, namely the highest percentage of disability at 2.78%, while in 2020 the highest percentage of disability was only 1.33%. Therefore, companies need to make improvements to the quality of their products to prevent a continuous rise in the percentage of defects over time. This study aims to propose an enhancement to reduce/prevent defects in toroidal inductor products. The method used is the Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). The FMEA method is utilized to reduce flaws that occur by considering the value of the risk priority number (RPN). The FTA method is used to identify possible defects by applying analysis of the fault tree description. The results of this study are that improvements should be focused on the failure mode of the wound wire because it gets the highest RPN value of 216 with the cause being less focused workers, while the lowest RPN value is on the red pin failure mode of 56 with the cause of no sandpaper changing schedule. From the results of the study, several suggestions for improvements were made in the form of increasing supervision for workers, increasing rest periods, conducting training, installing display limits for stripping, repairing stripping machines, replacing vise, repairing worktables, and making a schedule for sandpaper replacement prevents the defect. Companies must make improvements to human flows and ensure tools and materials are in optimal condition.
{"title":"Combination of FTA and FMEA methods to improve efficiency in the manufacturing company","authors":"Puti Renosori, Hirawati Oemar, Siti Fauziah","doi":"10.22306/al.v10i3.422","DOIUrl":"https://doi.org/10.22306/al.v10i3.422","url":null,"abstract":"Toroidal is an inductor with an O-ring core. In 2021 there was an increase in the percentage of toroidal disability, namely the highest percentage of disability at 2.78%, while in 2020 the highest percentage of disability was only 1.33%. Therefore, companies need to make improvements to the quality of their products to prevent a continuous rise in the percentage of defects over time. This study aims to propose an enhancement to reduce/prevent defects in toroidal inductor products. The method used is the Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). The FMEA method is utilized to reduce flaws that occur by considering the value of the risk priority number (RPN). The FTA method is used to identify possible defects by applying analysis of the fault tree description. The results of this study are that improvements should be focused on the failure mode of the wound wire because it gets the highest RPN value of 216 with the cause being less focused workers, while the lowest RPN value is on the red pin failure mode of 56 with the cause of no sandpaper changing schedule. From the results of the study, several suggestions for improvements were made in the form of increasing supervision for workers, increasing rest periods, conducting training, installing display limits for stripping, repairing stripping machines, replacing vise, repairing worktables, and making a schedule for sandpaper replacement prevents the defect. Companies must make improvements to human flows and ensure tools and materials are in optimal condition.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136342379","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}