Surasidh Boonchunone, M. Nami, Atchari Krommuang, Aphichon Phonsena, O. Suwunnamek
Nowadays, electric vehicle innovation plays an important role in the market, transportation, logistics and supply chain in the electric mobility industry, contributing to environmental protection and reducing pollution. The commercial EV launched in Thailand which has been very popular with consumers, but it is also not widely used, and there are not many market surveys about customer usage intention. Therefore, it is necessary to study seriously. This study explores the impact of the perceived value of electric vehicle (EV) features on consumer usage intention to use electric vehicles in Thailand, with the mediating effect of customer satisfaction. The results showed that perceived value from using EV, consumer satisfaction, and usage intention of EV, there is a significant direct and indirect relationship. These findings have contributions and relevant expected benefits.
{"title":"Exploring the effects of perceived values on consumer usage intention for electric vehicle in Thailand: the mediating effect of satisfaction","authors":"Surasidh Boonchunone, M. Nami, Atchari Krommuang, Aphichon Phonsena, O. Suwunnamek","doi":"10.22306/al.v10i2.363","DOIUrl":"https://doi.org/10.22306/al.v10i2.363","url":null,"abstract":"Nowadays, electric vehicle innovation plays an important role in the market, transportation, logistics and supply chain in the electric mobility industry, contributing to environmental protection and reducing pollution. The commercial EV launched in Thailand which has been very popular with consumers, but it is also not widely used, and there are not many market surveys about customer usage intention. Therefore, it is necessary to study seriously. This study explores the impact of the perceived value of electric vehicle (EV) features on consumer usage intention to use electric vehicles in Thailand, with the mediating effect of customer satisfaction. The results showed that perceived value from using EV, consumer satisfaction, and usage intention of EV, there is a significant direct and indirect relationship. These findings have contributions and relevant expected benefits.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42821279","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}
Mahirun Mahirun, Arih Jannati, Andi Kushermanto, Titi Prasetiani
This study aims to test and analyze the research model by using dividend policy as an intervening variable on the effect of firm value and capital structure on firm value. Other variables influencing the stock price are investment opportunity set, trading volume activity, and profitability. The objects of this research are companies included in the LQ45 index on the Indonesia Stock Exchange during the period 2012 - 2021. The analytical tool we use is path analysis to test the effect of exogenous variables on endogenous variables, including testing direct and indirect effects. The results of testing 177 samples over a period of 10 years resulted in the finding that the dividend policy with the DPR (Dividend Payout Ratio) indicator was unable to mediate funding policy and firm value in increasing stock prices. Another study found that factors that increase SP (stock prices) in a positive and significant direction of influence are ROE (Return On Equity), and DPR (Dividend Payout Ratio), while other variables such as PER (Price Earning Ratio) and DER (Debt to Equity Ratio) do not significantly increase SP (Stock Prices) despite the positive direction of influence. While the factors that can reduce SP (Stock Prices) in our study are DAR (Debt to Assets Ratio) and TVA (Trading Volume Activity), and other factors that do not significantly reduce SP (Stock Prices) even though the direction of influence is negative are PBV (Price to Book Value) and ROA (Return on Assets).
{"title":"Impact of dividend policy on stock prices","authors":"Mahirun Mahirun, Arih Jannati, Andi Kushermanto, Titi Prasetiani","doi":"10.22306/al.v10i2.375","DOIUrl":"https://doi.org/10.22306/al.v10i2.375","url":null,"abstract":"This study aims to test and analyze the research model by using dividend policy as an intervening variable on the effect of firm value and capital structure on firm value. Other variables influencing the stock price are investment opportunity set, trading volume activity, and profitability. The objects of this research are companies included in the LQ45 index on the Indonesia Stock Exchange during the period 2012 - 2021. The analytical tool we use is path analysis to test the effect of exogenous variables on endogenous variables, including testing direct and indirect effects. The results of testing 177 samples over a period of 10 years resulted in the finding that the dividend policy with the DPR (Dividend Payout Ratio) indicator was unable to mediate funding policy and firm value in increasing stock prices. Another study found that factors that increase SP (stock prices) in a positive and significant direction of influence are ROE (Return On Equity), and DPR (Dividend Payout Ratio), while other variables such as PER (Price Earning Ratio) and DER (Debt to Equity Ratio) do not significantly increase SP (Stock Prices) despite the positive direction of influence. While the factors that can reduce SP (Stock Prices) in our study are DAR (Debt to Assets Ratio) and TVA (Trading Volume Activity), and other factors that do not significantly reduce SP (Stock Prices) even though the direction of influence is negative are PBV (Price to Book Value) and ROA (Return on Assets).","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68307557","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}
Cost estimating entails gathering and evaluating historical data, as well as using quantitative models, methodologies, tools, and databases to forecast the cost of a program in the future. At the early stages of the building design process, the cost is considered one of the most important elements in making decisions. During the design phase of a project, cost estimating is quite essential. To compelet a construction project successfully, it is critical to design a usable model and method for cost estimation in construction projects. For the above reason, this study has developed a hybrid method to conduct an accurate cost estimation in construction projects in Iraq. This study also conducted a rigorous survey to find five main influential factors with thirty-six sub-factors in the Iraqi market. It was evaluated through previous studies, questionnaires, and surveys of twenty projects to build a matrix factors database for construction projects. This work gathered the construction cost factors from relevant research and expert views. In the second step, the researcher ranked the factors within the Importance Regression Ensemble Method then the K-Nearest Neighbor Method was applied to specify the effect of the near-effective factors on the cost. The outcome of this study will be helpful to construction professionals in estimating a construction project effectively.
{"title":"A new model for cost estimation construction project using Hybrid importance regression ensemble method","authors":"Ali Alkhuadhan, S. Naimi","doi":"10.22306/al.v10i2.372","DOIUrl":"https://doi.org/10.22306/al.v10i2.372","url":null,"abstract":"Cost estimating entails gathering and evaluating historical data, as well as using quantitative models, methodologies, tools, and databases to forecast the cost of a program in the future. At the early stages of the building design process, the cost is considered one of the most important elements in making decisions. During the design phase of a project, cost estimating is quite essential. To compelet a construction project successfully, it is critical to design a usable model and method for cost estimation in construction projects. For the above reason, this study has developed a hybrid method to conduct an accurate cost estimation in construction projects in Iraq. This study also conducted a rigorous survey to find five main influential factors with thirty-six sub-factors in the Iraqi market. It was evaluated through previous studies, questionnaires, and surveys of twenty projects to build a matrix factors database for construction projects. This work gathered the construction cost factors from relevant research and expert views. In the second step, the researcher ranked the factors within the Importance Regression Ensemble Method then the K-Nearest Neighbor Method was applied to specify the effect of the near-effective factors on the cost. The outcome of this study will be helpful to construction professionals in estimating a construction project effectively.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44697972","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}
Cuba's economy has fluctuated strongly due to COVID-19 and natural disasters. In addition, sugar production, which is Cuba's main export product, also fell sharply. In the absence of underdeveloped industrial technologies and digitization, Cuba currently has to allocate its resources with even greater consideration. That's why utilization and optimization of sugar production and transport can take advantage of its inherent potential and reserves. After presenting the history of sugar production and its current, mainly local, technology, we present three simple methods, which do not require very professional knowledge nor expensive software or hardware to optimise these processes. We recommend the establishment of basic collection points, which would operate as specific logistics centres, with the role of service provision and pre-production in addition to the collection. Also, the paper proposes a method that can be used to design layouts in 3D, making the current sugar production process more compact and efficient.
{"title":"Optimization and process development methods in the production of sugar from Cuban sugar cane","authors":"Péter Veres, P. Tamás, B. Illés, N. Machado","doi":"10.22306/al.v10i2.392","DOIUrl":"https://doi.org/10.22306/al.v10i2.392","url":null,"abstract":"Cuba's economy has fluctuated strongly due to COVID-19 and natural disasters. In addition, sugar production, which is Cuba's main export product, also fell sharply. In the absence of underdeveloped industrial technologies and digitization, Cuba currently has to allocate its resources with even greater consideration. That's why utilization and optimization of sugar production and transport can take advantage of its inherent potential and reserves. After presenting the history of sugar production and its current, mainly local, technology, we present three simple methods, which do not require very professional knowledge nor expensive software or hardware to optimise these processes. We recommend the establishment of basic collection points, which would operate as specific logistics centres, with the role of service provision and pre-production in addition to the collection. Also, the paper proposes a method that can be used to design layouts in 3D, making the current sugar production process more compact and efficient.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44084458","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}
J. Calderon‐Tellez, Milton M. Herrera, Alvaro Salinas-Rodriguez
The transition from fuel-based vehicles to electric vehicles (EVs) is fundamental in the decarbonisation process of countries – it has become an option to reduce greenhouse gases (GHG). This transition involves transformations of the transport sector that are influenced by transport policy. However, policy makers sometimes experience delays in implementing such a policy, which produces drawbacks in the long-term. The paper aims to assess low-carbon policy alternatives for mitigating the delays in the electric vehicles transition, supported by a simulation model. To simulate, the model uses the historical data of pollution and temperature generated by the Bogota’s transport sector in Colombia. Results contribute to understanding the role of low-carbon policy on the reduction of CO2 emissions in the transport sector. Also, a dynamic perspective shows how the EVs transition in the case of Colombia influences on the desired target policy, such as the Paris Agreement and the intergovernmental panel on climate change (IPCC).
{"title":"Evaluating low-carbon policy alternatives to support electric vehicle transition: evidence from Bogota-Colombia","authors":"J. Calderon‐Tellez, Milton M. Herrera, Alvaro Salinas-Rodriguez","doi":"10.22306/al.v10i2.387","DOIUrl":"https://doi.org/10.22306/al.v10i2.387","url":null,"abstract":"The transition from fuel-based vehicles to electric vehicles (EVs) is fundamental in the decarbonisation process of countries – it has become an option to reduce greenhouse gases (GHG). This transition involves transformations of the transport sector that are influenced by transport policy. However, policy makers sometimes experience delays in implementing such a policy, which produces drawbacks in the long-term. The paper aims to assess low-carbon policy alternatives for mitigating the delays in the electric vehicles transition, supported by a simulation model. To simulate, the model uses the historical data of pollution and temperature generated by the Bogota’s transport sector in Colombia. Results contribute to understanding the role of low-carbon policy on the reduction of CO2 emissions in the transport sector. Also, a dynamic perspective shows how the EVs transition in the case of Colombia influences on the desired target policy, such as the Paris Agreement and the intergovernmental panel on climate change (IPCC).","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48833719","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 aim of this study is to find out the optimal path for the manual picking process used by warehouse operators to enhance the productivity of the manual picking system in the retail warehouse in Jordan using simulation Software. WMS Software was used to determine the different picking methods and the distance travelled in each path of the order-picking process to discover the optimal layout design for the warehouse. Several time studies were conducted using the stopwatch to determine the average picking time for each operator using those paths that were suggested by the simulation program to choose the same arrangement. Then, the average throughput was calculated for each operator for each routing method. The results showed that there is a strong correlation and relationship between the routing method and operator productivity. Further, it is found that productivity is higher by 29% when the operator chooses the optimal path shown by the simulation program, and this improvement in order picking will lead to a high level of service satisfaction and a lower level of operational cost for storage. Improving picking methods and optimizing picking paths can increase the total number of orders an operator can fulfil in a single working day, resulting in increased operator utilization.
{"title":"Design and control order picking route of a retailer warehouse using simulation to increase labour productivity","authors":"M. Al-Shboul","doi":"10.22306/al.v10i1.367","DOIUrl":"https://doi.org/10.22306/al.v10i1.367","url":null,"abstract":"The aim of this study is to find out the optimal path for the manual picking process used by warehouse operators to enhance the productivity of the manual picking system in the retail warehouse in Jordan using simulation Software. WMS Software was used to determine the different picking methods and the distance travelled in each path of the order-picking process to discover the optimal layout design for the warehouse. Several time studies were conducted using the stopwatch to determine the average picking time for each operator using those paths that were suggested by the simulation program to choose the same arrangement. Then, the average throughput was calculated for each operator for each routing method. The results showed that there is a strong correlation and relationship between the routing method and operator productivity. Further, it is found that productivity is higher by 29% when the operator chooses the optimal path shown by the simulation program, and this improvement in order picking will lead to a high level of service satisfaction and a lower level of operational cost for storage. Improving picking methods and optimizing picking paths can increase the total number of orders an operator can fulfil in a single working day, resulting in increased operator utilization.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42682245","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}
Augmented reality (AR) is a significant Fourth Industrial Revolution (IR4.0) technology that employs computer-generated display, sound, text, and effects to enhance the user's real-world experience via wearable devices. Order picking processes have had a substantial influence on overall operational efficiency in warehouse management systems (WMS). The conventional picking process is challenging to handle, which may result in deviations from the intended picking performance. Pick-by-vision, a new technological solution for order picking, is receiving growing attention and is now considered a significant WMS-supporting technology. This article explores the positive implications and prospects of utilizing AR pick-by-vision technology in the warehouse picking processes by performing a narrative review of the previous review articles. To demonstrate the focus of the main area, this study also presents the hierarchical classification structure of AR implementation in WMS and highlights the pick-by-vision method. The analysis provided important key findings by evaluating 23 articles (original articles and case studies) on AR pick-by-vision technology applications, which are significant to the prospective advantages of AR pick-by-vision deployment in warehouse operations. This study gathers knowledge and insight that can be used by both academics and professionals who are interested in optimizing this new advanced technology for future research.
{"title":"A review on the positive implications of augmented reality pick-by-vision in warehouse management systems","authors":"Shaliza Jumahat, M. Sidhu, S. Shah","doi":"10.22306/al.v10i1.337","DOIUrl":"https://doi.org/10.22306/al.v10i1.337","url":null,"abstract":"Augmented reality (AR) is a significant Fourth Industrial Revolution (IR4.0) technology that employs computer-generated display, sound, text, and effects to enhance the user's real-world experience via wearable devices. Order picking processes have had a substantial influence on overall operational efficiency in warehouse management systems (WMS). The conventional picking process is challenging to handle, which may result in deviations from the intended picking performance. Pick-by-vision, a new technological solution for order picking, is receiving growing attention and is now considered a significant WMS-supporting technology. This article explores the positive implications and prospects of utilizing AR pick-by-vision technology in the warehouse picking processes by performing a narrative review of the previous review articles. To demonstrate the focus of the main area, this study also presents the hierarchical classification structure of AR implementation in WMS and highlights the pick-by-vision method. The analysis provided important key findings by evaluating 23 articles (original articles and case studies) on AR pick-by-vision technology applications, which are significant to the prospective advantages of AR pick-by-vision deployment in warehouse operations. This study gathers knowledge and insight that can be used by both academics and professionals who are interested in optimizing this new advanced technology for future research.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46179825","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}
Free economic zones are one of the many ways for governments to alleviate a national crisis situation, by helping increase trade, enhance production, and create provisions of foreign direct investment. That can help in improving the economic condition of the country and enhance the quality of life of the country’s population. Free economic zones, or free zones, in Morocco have also been established for similar reasons, and due to its perfect geographical location, has become one of the top priority destinations for regions across the globe for logistic purposes. To meet this objective, the reflection carried out at the level of this study turned towards the development of free zones in connection with the business environment in emerging countries, taking into consideration the case of Morocco, then it has a very strong logistical evolution as well as an exceptional geographical position for the improvement of its positioning in international competitiveness. This article presents the results of a quantitative study on the business environment of free zones in Morocco as well as on their economic impact aimed at improving the country's logistics level. This study aims to understand the theoretical and practical purpose of establishment of free zones in Morocco, their significance in the logistics industry, and their key advantages and challenges. This study provides a research background for industry practitioners and academicians of different regions alike to understand the use of Moroccan free zones to effectively strategize logistics decisions from a corporate standpoint, leading to better economic performance.
{"title":"Impact of industrial free zones on the business environment of emerging countries","authors":"Ouail El Imrani, Ibrahim Assabane","doi":"10.22306/al.v10i1.361","DOIUrl":"https://doi.org/10.22306/al.v10i1.361","url":null,"abstract":"Free economic zones are one of the many ways for governments to alleviate a national crisis situation, by helping increase trade, enhance production, and create provisions of foreign direct investment. That can help in improving the economic condition of the country and enhance the quality of life of the country’s population. Free economic zones, or free zones, in Morocco have also been established for similar reasons, and due to its perfect geographical location, has become one of the top priority destinations for regions across the globe for logistic purposes. To meet this objective, the reflection carried out at the level of this study turned towards the development of free zones in connection with the business environment in emerging countries, taking into consideration the case of Morocco, then it has a very strong logistical evolution as well as an exceptional geographical position for the improvement of its positioning in international competitiveness. This article presents the results of a quantitative study on the business environment of free zones in Morocco as well as on their economic impact aimed at improving the country's logistics level. This study aims to understand the theoretical and practical purpose of establishment of free zones in Morocco, their significance in the logistics industry, and their key advantages and challenges. This study provides a research background for industry practitioners and academicians of different regions alike to understand the use of Moroccan free zones to effectively strategize logistics decisions from a corporate standpoint, leading to better economic performance.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43599980","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}
O. Prokopenko, G. Prause, Vasil Otenko, M. Cherkashyna, Inna Kara, Iraklii Imnadze
The COVID-19 pandemic has made the problem of companies adapting to operate under restrictions more acute. Logistics companies were the special focus of researchers because of the specifics of the COVID-19 pandemic. The article aims to determine the features of the management of logistics companies to adapt them against the background of the COVID-19 pandemic restrictions. The methodological background of the analysis is the analysis of financial ratios — Total Revenue Growth; Capital Expenditure Growth; Working Capital Growth; Debt/ Equity ratio; Equity/Total Assets, as well as the case method — a description of the business situation of the company in the sample of JD Logistics, which have successfully adapted to changes against the background of the COVID-19 pandemic. Analysis of the financial statements of the surveyed companies revealed several trends in their financial management during the pandemic — a decline in net income from sales after the pandemic; an increase of capital investments in 2019-2021; reduction of working capital growth rates after 2019; growth of the debt-to-equity ratio after the beginning of the pandemic; maintaining the equity to assets ratio at a stable level in 2019-2021. A set of factors influencing the exogenous and endogenous environment is identified in support of the logistics companies adaptation programme under the COVID-19 pandemic restrictions by the following blocks: “government action and regulatory policy”; “support of the company’s operation”; “company finance”; “customer relations”; “relations with suppliers”. Prospects for further research involve studying financial and market factors influencing the practice of adaptation of logistics companies in a pandemic, as well as studying the problem of adaptation of companies in the post-crisis phase after the COVID-19 pandemic.
{"title":"Adaptation of logistics companies to operation under the Covid-19 pandemic restrictions","authors":"O. Prokopenko, G. Prause, Vasil Otenko, M. Cherkashyna, Inna Kara, Iraklii Imnadze","doi":"10.22306/al.v10i1.349","DOIUrl":"https://doi.org/10.22306/al.v10i1.349","url":null,"abstract":"The COVID-19 pandemic has made the problem of companies adapting to operate under restrictions more acute. Logistics companies were the special focus of researchers because of the specifics of the COVID-19 pandemic. The article aims to determine the features of the management of logistics companies to adapt them against the background of the COVID-19 pandemic restrictions. The methodological background of the analysis is the analysis of financial ratios — Total Revenue Growth; Capital Expenditure Growth; Working Capital Growth; Debt/ Equity ratio; Equity/Total Assets, as well as the case method — a description of the business situation of the company in the sample of JD Logistics, which have successfully adapted to changes against the background of the COVID-19 pandemic. Analysis of the financial statements of the surveyed companies revealed several trends in their financial management during the pandemic — a decline in net income from sales after the pandemic; an increase of capital investments in 2019-2021; reduction of working capital growth rates after 2019; growth of the debt-to-equity ratio after the beginning of the pandemic; maintaining the equity to assets ratio at a stable level in 2019-2021. A set of factors influencing the exogenous and endogenous environment is identified in support of the logistics companies adaptation programme under the COVID-19 pandemic restrictions by the following blocks: “government action and regulatory policy”; “support of the company’s operation”; “company finance”; “customer relations”; “relations with suppliers”. Prospects for further research involve studying financial and market factors influencing the practice of adaptation of logistics companies in a pandemic, as well as studying the problem of adaptation of companies in the post-crisis phase after the COVID-19 pandemic.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45055082","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 research scientific article summarizes the arguments within the scientific discussion on the issue of internal transport and machine park in mining companies. The machine park in mining companies is base of efective mining processes and optimal results of mining. The machine park in the mining company introduces a combination of stagnant and active equipment in the process of mining. The goal of this article is to reflect the innovative approach in the creation of internal transport by machine park in the mining company with the aim of increasing the reliability, safety, failures, and efficiency of mining equipment. The entity of the investigation was the selected mining company in Slovakia focused on limestone mining. Approach of research were focused on using comparative analysis of the technical parameters of mining machines and their technical performance. The relevance of the decision of this scientific research was connected with the innovation of a mining machine park focused on mobile machines with a combination of stationary machines. The article presents the results pointing to significant improvements in the machine park of the mining company. In this paper we suggest two alternatives (two models that monitor the factors as quality, costs, safety, reliability, and optimization of company resources, which are important for the optimal arrangement of equipments) of the composition of the machine park for a selected mining company with Mobil crusher Sandvik QJ341+, Mobile sorter McCloskey S130, Wheel loader CAT 972 M, and tracked excavator CAT 336F and second alternative Mobil crusher Hartl 12/65J, Mobile sorter Anaconda SR514, Wheel loader CAT 966 M and tracked excavator CAT 329E. The results of two alternatives of the machine park in a mining company can be recommendations for other mining companies in the area of building the machine park for mining processes and its optimization.
{"title":"Optimizing internal transport in terms of technical parameters in a mining company","authors":"K. Teplická, S. Hurná","doi":"10.22306/al.v10i1.360","DOIUrl":"https://doi.org/10.22306/al.v10i1.360","url":null,"abstract":"The research scientific article summarizes the arguments within the scientific discussion on the issue of internal transport and machine park in mining companies. The machine park in mining companies is base of efective mining processes and optimal results of mining. The machine park in the mining company introduces a combination of stagnant and active equipment in the process of mining. The goal of this article is to reflect the innovative approach in the creation of internal transport by machine park in the mining company with the aim of increasing the reliability, safety, failures, and efficiency of mining equipment. The entity of the investigation was the selected mining company in Slovakia focused on limestone mining. Approach of research were focused on using comparative analysis of the technical parameters of mining machines and their technical performance. The relevance of the decision of this scientific research was connected with the innovation of a mining machine park focused on mobile machines with a combination of stationary machines. The article presents the results pointing to significant improvements in the machine park of the mining company. In this paper we suggest two alternatives (two models that monitor the factors as quality, costs, safety, reliability, and optimization of company resources, which are important for the optimal arrangement of equipments) of the composition of the machine park for a selected mining company with Mobil crusher Sandvik QJ341+, Mobile sorter McCloskey S130, Wheel loader CAT 972 M, and tracked excavator CAT 336F and second alternative Mobil crusher Hartl 12/65J, Mobile sorter Anaconda SR514, Wheel loader CAT 966 M and tracked excavator CAT 329E. The results of two alternatives of the machine park in a mining company can be recommendations for other mining companies in the area of building the machine park for mining processes and its optimization.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47198096","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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