For a company to make a profit and satisfy customers' needs, it must have the correct individual processes - the production process is one of the most important. This paper proposes a solution to eliminate the problem based on identifying the cause of the blocking - idle times in several workplaces of the production line. Another goal was to determine whether increasing productivity and the number of products on the given line is possible. At the beginning of the research, a system analysis of production operations was carried out. A simulation was chosen as a tool for solving the goals. Tecnomatix Plant Simulation creates the simulation model. The model was verified by a simulation experiment that simulated the current state, and the data obtained by the analysis were used. The experiment was performed for three simulated times: 8, 16 and 48 hours. After the verification of the model, experiments were performed on the models. The paper presents the results of three experiments for a simulated time of 48 hours. Based on the experiments, it was found that in the case of shortening the work cycle at critical workplaces No.5 and No.15, it is possible to make the process more efficient - to equalise the workload of individual workplaces and increase production by 25%.
{"title":"Simulation of operations on the production line as a tool for making the production process more efficient","authors":"J. Saderova, Lubomir Ambrisko","doi":"10.22306/al.v10i4.432","DOIUrl":"https://doi.org/10.22306/al.v10i4.432","url":null,"abstract":"For a company to make a profit and satisfy customers' needs, it must have the correct individual processes - the production process is one of the most important. This paper proposes a solution to eliminate the problem based on identifying the cause of the blocking - idle times in several workplaces of the production line. Another goal was to determine whether increasing productivity and the number of products on the given line is possible. At the beginning of the research, a system analysis of production operations was carried out. A simulation was chosen as a tool for solving the goals. Tecnomatix Plant Simulation creates the simulation model. The model was verified by a simulation experiment that simulated the current state, and the data obtained by the analysis were used. The experiment was performed for three simulated times: 8, 16 and 48 hours. After the verification of the model, experiments were performed on the models. The paper presents the results of three experiments for a simulated time of 48 hours. Based on the experiments, it was found that in the case of shortening the work cycle at critical workplaces No.5 and No.15, it is possible to make the process more efficient - to equalise the workload of individual workplaces and increase production by 25%.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"76 3","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130263","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 study investigates the impact of the IoT on the cost and quality of last-mile logistics, the critical and often challenging final phase of the supply chain. With the relentless growth of e-commerce and the increasing demands for efficient and reliable delivery services, understanding how IoT affects last-mile logistics is increasingly becoming important. Through the integration of IoT technologies such as GPS tracking, RFID systems, and real-time data analytics, the study aimed to assess the extent to which the application of the IoT affects the cost and quality of last-mile distribution in South Africa. As a result, the study provides valuable insights into the potential cost savings or increases associated with IoT adoption, quality challenges and areas of improvement, customer satisfaction and the overall performance of last-mile distribution systems. The methodology involves the collection of primary data from selected distribution companies in South Africa. Statistical software was used to analyse the data to shed light on the tangible benefits and challenges associated with IoT adoption in last-mile logistics as they relate to cost and quality. The research findings indicate that implementing IoT in last-mile distribution systems in South Africa can significantly improve efficiency and effectiveness. The IoT integration with existing infrastructure enables seamless communication, proactive decision-making, and reduced delivery delays. Overall, by leveraging IoT technologies and real-time data analysis, organisations can optimise their distribution processes, reduce costs, improve quality, and enhance overall customer experience.
{"title":"Improving last mile distribution systems through the Internet of Things: a South African case","authors":"Masithembe Kafile, T. Mbhele","doi":"10.22306/al.v10i4.438","DOIUrl":"https://doi.org/10.22306/al.v10i4.438","url":null,"abstract":"The study investigates the impact of the IoT on the cost and quality of last-mile logistics, the critical and often challenging final phase of the supply chain. With the relentless growth of e-commerce and the increasing demands for efficient and reliable delivery services, understanding how IoT affects last-mile logistics is increasingly becoming important. Through the integration of IoT technologies such as GPS tracking, RFID systems, and real-time data analytics, the study aimed to assess the extent to which the application of the IoT affects the cost and quality of last-mile distribution in South Africa. As a result, the study provides valuable insights into the potential cost savings or increases associated with IoT adoption, quality challenges and areas of improvement, customer satisfaction and the overall performance of last-mile distribution systems. The methodology involves the collection of primary data from selected distribution companies in South Africa. Statistical software was used to analyse the data to shed light on the tangible benefits and challenges associated with IoT adoption in last-mile logistics as they relate to cost and quality. The research findings indicate that implementing IoT in last-mile distribution systems in South Africa can significantly improve efficiency and effectiveness. The IoT integration with existing infrastructure enables seamless communication, proactive decision-making, and reduced delivery delays. Overall, by leveraging IoT technologies and real-time data analysis, organisations can optimise their distribution processes, reduce costs, improve quality, and enhance overall customer experience.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" 3","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139136084","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}
Operational excellence serves as a cornerstone for the success of businesses,and effective risk management is key for minimizing disruptions, and ensuring business continuity. This paper proposes an innovative methodology that harnesses the power of machine learning in supply chain risk assessment to enhance the ability of organizations to identify, predict, and mitigate various risks that can impact their efficiency, effectiveness, and resilience. This study addresses the inherent subjectivity in human assessment which presents a significant challenges and potential biases in the evaluation process. Auditors, who play a crucial role in identifying and assessing risks within an organization's operations, often rely on subjective judgments influenced by their experiences, expertise, and personal biases. To mitigate this issue, we employ a deconstruction approach, breaking down risk factors into sub-factors, and leverage an Artificial Neural Network model as a predictive tool for accurate risk level predictions and enhanced assessment objectivity. Real-world data from a global automotive company specializing in wiring harnesses are utilized to train the Neural Network model, on a dataset of 2100 samples, exhibits good performance of risk prediction as evaluated by appropriate metrics such as Determination Coefficients and Mean Square Error. Overall, this research contributes to the advancement of risk management practices addressing the challenges of subjectivity in human assessment, to more objective by providing a reliable and data-driven framework that supports managers in strategic decision-making and fortifies supply chain operations through an early risk alarm, empowering organizations to proactively manage risks and achieve autonomy in effective risk management.
{"title":"Improving supply chain risk assessment with artificial neural network predictions","authors":"Nisrine Rezki, Mohamed Mansouri","doi":"10.22306/al.v10i4.444","DOIUrl":"https://doi.org/10.22306/al.v10i4.444","url":null,"abstract":"Operational excellence serves as a cornerstone for the success of businesses,and effective risk management is key for minimizing disruptions, and ensuring business continuity. This paper proposes an innovative methodology that harnesses the power of machine learning in supply chain risk assessment to enhance the ability of organizations to identify, predict, and mitigate various risks that can impact their efficiency, effectiveness, and resilience. This study addresses the inherent subjectivity in human assessment which presents a significant challenges and potential biases in the evaluation process. Auditors, who play a crucial role in identifying and assessing risks within an organization's operations, often rely on subjective judgments influenced by their experiences, expertise, and personal biases. To mitigate this issue, we employ a deconstruction approach, breaking down risk factors into sub-factors, and leverage an Artificial Neural Network model as a predictive tool for accurate risk level predictions and enhanced assessment objectivity. Real-world data from a global automotive company specializing in wiring harnesses are utilized to train the Neural Network model, on a dataset of 2100 samples, exhibits good performance of risk prediction as evaluated by appropriate metrics such as Determination Coefficients and Mean Square Error. Overall, this research contributes to the advancement of risk management practices addressing the challenges of subjectivity in human assessment, to more objective by providing a reliable and data-driven framework that supports managers in strategic decision-making and fortifies supply chain operations through an early risk alarm, empowering organizations to proactively manage risks and achieve autonomy in effective risk management.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" 6","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139136103","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}
Sapta Asmal, D. Kurniawan, Besse Indah, Muhammad Anshar, S. Suradi
Material inventory planning is needed in the industrial world to advance a business because it will affect the costs incurred, the production process, and the profits generated by the company. The company has a problem that occurs when the control of raw material inventory could be more optimal. It recorded that throughout 2021, 33.647,18 meters of fabric pants were stored in warehouses. This is influenced by several factors, including the calculation of safety stock, lead time due to uncertain logistics and the selection of methods that have not been maximized. The novelty of this research is that it discusses inventory planning, the methods used are Silver Meal Algorithm and the Wagner Whitin Algorithm. Data processed is on demand for clothes and jeans throughout 2021. The results show that the Silver Meal is suitable for five materials, and the Wagner Whitin Algorithm is on one material. Companies can use both methods for each raw material. Nevertheless, it is more optimal if the company utilizes only one method for procurement of raw materials, the Silver Meal because when it is used in the long term, the cost of raw materials is less than the Wagner Whitin Algorithm. The Siler Meal’s total inventory cost is Rp. 138.281.497, and the Wagner Whitin Algorithm is Rp. 170.010.097
{"title":"Inventory planning of raw material using Silver Meal and Wagner Whitin Algorithm","authors":"Sapta Asmal, D. Kurniawan, Besse Indah, Muhammad Anshar, S. Suradi","doi":"10.22306/al.v10i4.437","DOIUrl":"https://doi.org/10.22306/al.v10i4.437","url":null,"abstract":"Material inventory planning is needed in the industrial world to advance a business because it will affect the costs incurred, the production process, and the profits generated by the company. The company has a problem that occurs when the control of raw material inventory could be more optimal. It recorded that throughout 2021, 33.647,18 meters of fabric pants were stored in warehouses. This is influenced by several factors, including the calculation of safety stock, lead time due to uncertain logistics and the selection of methods that have not been maximized. The novelty of this research is that it discusses inventory planning, the methods used are Silver Meal Algorithm and the Wagner Whitin Algorithm. Data processed is on demand for clothes and jeans throughout 2021. The results show that the Silver Meal is suitable for five materials, and the Wagner Whitin Algorithm is on one material. Companies can use both methods for each raw material. Nevertheless, it is more optimal if the company utilizes only one method for procurement of raw materials, the Silver Meal because when it is used in the long term, the cost of raw materials is less than the Wagner Whitin Algorithm. The Siler Meal’s total inventory cost is Rp. 138.281.497, and the Wagner Whitin Algorithm is Rp. 170.010.097","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"112 13","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135171","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}
M. Pekarcikova, P. Trebuna, M. Dic, Jaroslav Markovic
A critical factor in the manufacturing industry is waste and losses in individual operations and processes. The expansion of elements of lean production, such as the pull system with the interconnection of key technologies, brings new elements of production planning and control. Thanks to new technologies, many more possibilities exist to uncover potential bottlenecks. Simulations and modelling bring new possibilities for experimentation in the virtual environment of prepared systems or devices without directly disturbing the functioning system. The presented article deals with the issue of applying lean approaches in finding optimal solutions within logistics flows. The aim of the article is to define and test the potential for streamlining logistics flows with TX Plant Simulation software support. The research and empirical part of the study was solved based on a rigorous analysis of the initial situation in a specific company for the selected product group, as the Value Stream Mapping method was used for the analysis. A simulation model of a real line was created in the TX Plant Simulation software with the help of the Value Stream Mapping library for value creation, which is part of the software. The goal was to find out possible waste within the logistics flow, and its causes and propose the necessary steps to eliminate the waste.
{"title":"Streamlining logistics flows with lean tools using TX Plant Simulation software support","authors":"M. Pekarcikova, P. Trebuna, M. Dic, Jaroslav Markovic","doi":"10.22306/al.v10i4.442","DOIUrl":"https://doi.org/10.22306/al.v10i4.442","url":null,"abstract":"A critical factor in the manufacturing industry is waste and losses in individual operations and processes. The expansion of elements of lean production, such as the pull system with the interconnection of key technologies, brings new elements of production planning and control. Thanks to new technologies, many more possibilities exist to uncover potential bottlenecks. Simulations and modelling bring new possibilities for experimentation in the virtual environment of prepared systems or devices without directly disturbing the functioning system. The presented article deals with the issue of applying lean approaches in finding optimal solutions within logistics flows. The aim of the article is to define and test the potential for streamlining logistics flows with TX Plant Simulation software support. The research and empirical part of the study was solved based on a rigorous analysis of the initial situation in a specific company for the selected product group, as the Value Stream Mapping method was used for the analysis. A simulation model of a real line was created in the TX Plant Simulation software with the help of the Value Stream Mapping library for value creation, which is part of the software. The goal was to find out possible waste within the logistics flow, and its causes and propose the necessary steps to eliminate the waste.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"15 4","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139131778","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}
Diego Tamayo, Javier Orjuela-Castro, Milton Herrera
Due to operational and behavioral factors, the Bullwhip effect (BWE) arises with variations in the logistics flow, yielding uncertainty and disturbances along the supply chain (SC). Previous studies have discussed isolated approaches, underestimating the influence of behavioral aspects over operational ones, and multi-factor analysis, which helps to measure and diminish the BWE. This study systematically assesses the bodies of knowledge to identify new trends, emphasizing gaps and overlaps to underly behavioral-operational links and multi-factor scenarios through a unified frame of reference built during the paper review. The results from this research spot new BWE trends like COVID and closed-loop supply chain (CLSC) driven by disruption and return flows; the influence of behavioral causes over pricing, returning flows, production capacity, and batching; the combination of multi-factor topics like pricing, production capacity, synchronization, and order batching. This overview contributes to understanding new trends and connections in the issues, highlighting logistic challenges and opportunities to explore future studies with a broader scope. It also elucidates the BWE causes and how to handle them, which could assist in comprehending its effects and advantages on the technical elements of logistics.
{"title":"Assessing the Bullwhip effect in supply chain: trends, gaps, and overlaps","authors":"Diego Tamayo, Javier Orjuela-Castro, Milton Herrera","doi":"10.22306/al.v10i4.426","DOIUrl":"https://doi.org/10.22306/al.v10i4.426","url":null,"abstract":"Due to operational and behavioral factors, the Bullwhip effect (BWE) arises with variations in the logistics flow, yielding uncertainty and disturbances along the supply chain (SC). Previous studies have discussed isolated approaches, underestimating the influence of behavioral aspects over operational ones, and multi-factor analysis, which helps to measure and diminish the BWE. This study systematically assesses the bodies of knowledge to identify new trends, emphasizing gaps and overlaps to underly behavioral-operational links and multi-factor scenarios through a unified frame of reference built during the paper review. The results from this research spot new BWE trends like COVID and closed-loop supply chain (CLSC) driven by disruption and return flows; the influence of behavioral causes over pricing, returning flows, production capacity, and batching; the combination of multi-factor topics like pricing, production capacity, synchronization, and order batching. This overview contributes to understanding new trends and connections in the issues, highlighting logistic challenges and opportunities to explore future studies with a broader scope. It also elucidates the BWE causes and how to handle them, which could assist in comprehending its effects and advantages on the technical elements of logistics.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"105 39","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139133705","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}
Saiful Mangngenre, Besse Indah, N. Syamsul, Andi Nurwahidah, Muhammad Bagus
Companies can achieve effective and efficient process if they make continuous improvements to achieve sustainability. In general, companies are aware of waste in the production process, but do not carry out measurements and analyzes related to this waste, including unit cost and profit analysis. A production system is needed that is able to minimize the unit costs and maximize profits in the company, one of the concepts used is the lean concept. This study aims to analyze the cost unit and profit generated in production systems that apply lean principles. Production system simulation is carried out using the concepts of Heijunka, Jidouka, and Kanban System. These three concepts are applied to a production system simulation that uses miniature cars with unit cost and profit comparison outputs with traditional production systems, pull systems, heijunka, jidouka, and Kanban systems. The results show that the unit cost of simulations 1 to 6 is getting lower, while the profit is increasing. In simulations 1 and 2 no profit was obtained because of implementing the traditional system while in simulations 3 to 6 there was an increase in profit because they had applied lean principles to the production system. Simulations that have implemented the lean concept have low unit costs and increasing profits, but what distinguishes the work methods applied. Production systems that apply the lean concept can help a company achieve sustainability in the economic field.
{"title":"Profit comparison analysis in production system simulation based on lean principles to achieve sustainable manufacturing","authors":"Saiful Mangngenre, Besse Indah, N. Syamsul, Andi Nurwahidah, Muhammad Bagus","doi":"10.22306/al.v10i4.441","DOIUrl":"https://doi.org/10.22306/al.v10i4.441","url":null,"abstract":"Companies can achieve effective and efficient process if they make continuous improvements to achieve sustainability. In general, companies are aware of waste in the production process, but do not carry out measurements and analyzes related to this waste, including unit cost and profit analysis. A production system is needed that is able to minimize the unit costs and maximize profits in the company, one of the concepts used is the lean concept. This study aims to analyze the cost unit and profit generated in production systems that apply lean principles. Production system simulation is carried out using the concepts of Heijunka, Jidouka, and Kanban System. These three concepts are applied to a production system simulation that uses miniature cars with unit cost and profit comparison outputs with traditional production systems, pull systems, heijunka, jidouka, and Kanban systems. The results show that the unit cost of simulations 1 to 6 is getting lower, while the profit is increasing. In simulations 1 and 2 no profit was obtained because of implementing the traditional system while in simulations 3 to 6 there was an increase in profit because they had applied lean principles to the production system. Simulations that have implemented the lean concept have low unit costs and increasing profits, but what distinguishes the work methods applied. Production systems that apply the lean concept can help a company achieve sustainability in the economic field.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"107 38","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134595","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}
H. Al-Ababneh, M. Dalbouh, S. Alrhaimi, Ibrahim Siam, Тatyana Ibragimkhalilova
Global digitalization has caused a modification of the modern world market and the adaptation of business strategies of modern companies. The target of the research is to define the peculiarities of trends in the evolution of digitalization, innovation in marketing and logistics of modern companies. It is substantiated that the efficiency and competitiveness of a business are constructively related to the implementation of digital innovative technologies in the marketing and logistics system to optimize business processes and reduce management and operating costs. Based on scientific generalization, it is indicated marketing and logistics interaction and specific features of key aspects in influencing competitiveness. Based on structural and logical analysis, revolutionary technologies and innovations in the marketing and logistics system are highlighted for maximum automation of business processes of modern companies, based on which their development trends are determined. The need for a systematic approach to the consideration of marketing and logistics as inseparable elements of the continuous cycle of companies (production-promotion-sales-service-logistics) is put forward. Based on structural and logical analyze peculiarities of the implementation of the marketing logistics system of companies in conditions of digitalization and innovation, which can be applied in the forming a digital marketing strategy and managing the logistics system of companies in the long term.
{"title":"Digitalization, innovation and marketing in logistics","authors":"H. Al-Ababneh, M. Dalbouh, S. Alrhaimi, Ibrahim Siam, Тatyana Ibragimkhalilova","doi":"10.22306/al.v10i4.440","DOIUrl":"https://doi.org/10.22306/al.v10i4.440","url":null,"abstract":"Global digitalization has caused a modification of the modern world market and the adaptation of business strategies of modern companies. The target of the research is to define the peculiarities of trends in the evolution of digitalization, innovation in marketing and logistics of modern companies. It is substantiated that the efficiency and competitiveness of a business are constructively related to the implementation of digital innovative technologies in the marketing and logistics system to optimize business processes and reduce management and operating costs. Based on scientific generalization, it is indicated marketing and logistics interaction and specific features of key aspects in influencing competitiveness. Based on structural and logical analysis, revolutionary technologies and innovations in the marketing and logistics system are highlighted for maximum automation of business processes of modern companies, based on which their development trends are determined. The need for a systematic approach to the consideration of marketing and logistics as inseparable elements of the continuous cycle of companies (production-promotion-sales-service-logistics) is put forward. Based on structural and logical analyze peculiarities of the implementation of the marketing logistics system of companies in conditions of digitalization and innovation, which can be applied in the forming a digital marketing strategy and managing the logistics system of companies in the long term.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":" 13","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135841","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 has changed many parts of the world, turning everything upside down in its path. Everything has changed, not just education, which has seen some unexpected changes in many places worldwide. There has been a rapid transition to online education in Arab nations due to COVID-19, which has both positives and cons. Most institutions can already adapt to education's digital teaching and learning-based future. In this study, a narrative non-systematic review methodology was used to examine the influence of COVID-19 on postsecondary education, the function of academic leaders, and the administration of Arab nations. For this investigation, a total of twenty-six pertinent scientific publications published by Arab countries were considered. Findings revealed that the psyche and emotions of students have been suffering from the limitations of the online higher education system. It was also noticed that students and teachers faced huge problems during this pandemic. The review also explored the strength of existing Middle Eastern countries' digital infrastructure facilities. Despite many limitations, instructors, institutions, and students learned many essential things during this critical Covid-19 period. Additionally, they learned how to adapt to a technology environment, which is crucial for professional success. The study's findings support the attitudes of students, teachers, leaders, managers, and other stakeholders toward online learning in challenging circumstances also in the field of logistics and transport.
{"title":"The disruptive times of Covid-19: higher education leadership and management logistics in Arab nations","authors":"Habib Fardoun, Ghassan Aouad, Georges Yahchouchi","doi":"10.22306/al.v10i4.428","DOIUrl":"https://doi.org/10.22306/al.v10i4.428","url":null,"abstract":"The COVID-19 Pandemic has changed many parts of the world, turning everything upside down in its path. Everything has changed, not just education, which has seen some unexpected changes in many places worldwide. There has been a rapid transition to online education in Arab nations due to COVID-19, which has both positives and cons. Most institutions can already adapt to education's digital teaching and learning-based future. In this study, a narrative non-systematic review methodology was used to examine the influence of COVID-19 on postsecondary education, the function of academic leaders, and the administration of Arab nations. For this investigation, a total of twenty-six pertinent scientific publications published by Arab countries were considered. Findings revealed that the psyche and emotions of students have been suffering from the limitations of the online higher education system. It was also noticed that students and teachers faced huge problems during this pandemic. The review also explored the strength of existing Middle Eastern countries' digital infrastructure facilities. Despite many limitations, instructors, institutions, and students learned many essential things during this critical Covid-19 period. Additionally, they learned how to adapt to a technology environment, which is crucial for professional success. The study's findings support the attitudes of students, teachers, leaders, managers, and other stakeholders toward online learning in challenging circumstances also in the field of logistics and transport.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"79 14","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130479","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}
In modern marketing, analysing and acting on buyers' needs is very important. Companies try to listen to the opinions of consumers because "they are always right". Marketing for commercial logistics plays an important role. All the goods in the world are transported by air, sea, pipeline, road and rail. Based on this, large logistics companies that need customer orders and customers who need their services use modern marketing strategies to sell their services. The consumer wants the company to do everything for him at the highest level. He does not turn to the first company he meets but evaluates the market and chooses the best one. The success of the company depends on which strategy the company chooses. Therefore, analysing these strategies is important for society, and only after analysing many examples used in the modern world will it not make a mistake in its choice. The research aims to analyse the innovative marketing strategies companies use in commercial logistics to sell their products and services successfully. In total, five modern marketing strategies were analysed, which are diametrically different and, due to their uniqueness, specific to different types of companies.
{"title":"Analysis of the usage of modern marketing strategies in commercial logistics","authors":"A. Behúnová, L. Knapčíková, Arina Vechkileva","doi":"10.22306/al.v10i4.427","DOIUrl":"https://doi.org/10.22306/al.v10i4.427","url":null,"abstract":"In modern marketing, analysing and acting on buyers' needs is very important. Companies try to listen to the opinions of consumers because \"they are always right\". Marketing for commercial logistics plays an important role. All the goods in the world are transported by air, sea, pipeline, road and rail. Based on this, large logistics companies that need customer orders and customers who need their services use modern marketing strategies to sell their services. The consumer wants the company to do everything for him at the highest level. He does not turn to the first company he meets but evaluates the market and chooses the best one. The success of the company depends on which strategy the company chooses. Therefore, analysing these strategies is important for society, and only after analysing many examples used in the modern world will it not make a mistake in its choice. The research aims to analyse the innovative marketing strategies companies use in commercial logistics to sell their products and services successfully. In total, five modern marketing strategies were analysed, which are diametrically different and, due to their uniqueness, specific to different types of companies.","PeriodicalId":36880,"journal":{"name":"Acta Logistica","volume":"122 12","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135061","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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