This study analyses and discusses how the unique cargo movements in Japan and changes in the social environment during the COVID-19 pandemic have affected social life. Since the outbreak of COVID-19, cargo movements in Japan have undergone significant changes. This study analyses cargo movements in Japan by showing correlation coefficients to indicate the extent to which each industry was affected by the spread of the new coronavirus to infected persons. The heightened awareness of the pandemic caused by the state of emergency led to the closure of many stores and a decline in outbound shipments. Although the volume of incoming shipments increased, the volume of outgoing shipments did not. As a result, warehouse vacancy rates declined. Therefore, the study revealed that distribution centers in Japan are becoming more self-sufficient, and cloud-based logistics information systems are becoming more widely used.
The logistics and delivery industry is facing challenges such as high transportation costs, difficulty in meeting customer demands, and environmental concerns. However, the integration of drone and autonomous vehicle technology can address these challenges by reducing transportation costs, increasing speed and reliability of delivery, and improving efficiency. The use of drones and autonomous vehicles can bring significant benefits such as increased efficiency, cost savings, improved safety, increased accessibility, and real-time tracking. Despite the potential benefits, there are still regulatory, technical, and financial barriers to overcome before a widespread adoption of these technologies. The use of drones and autonomous vehicles in the logistics and delivery industry is rapidly growing, with companies like Amazon, UPS, DHL actively experimenting with the use of these technologies. However, there are several challenges and limitations that must be overcome before they can be widely adopted, such as safety and regulatory requirements, weather and environmental conditions, battery life and range, navigation, and public perception.
The article contains a presentation of the results of analyses of studies relating to investing in the personnel of modern organizations. Conclusions from these analyses were related to the need to improve competences by the personnel of logistics companies. The conditions of their functioning and the resulting need to improve or acquire new knowledge and qualifications by employees were emphasized. The role of managers in the process of influencing personnel was highlighted, mainly in the context of creating work teams and striving for their high efficiency.
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This study analyses key successful factors (KSFs) affecting health supply chains using a novel ISM-MICMAC methodology. Initially, KSFs were collected from past articles, which were later analyzed through the ISM-MICMAC methodology. Healthcare technologies (HCTs) are regarded as innovative and fastest-growing technologies and have seen advancement in the last few decades. Successful and sustainable delivery of health services is only possible through an effective supply chain and logistics network. However, HCTs confront pressure in healthcare supply chains due to different issues. Therefore, it is essential to evaluate KSFs affecting the successful delivery of HCTs supply chains. After obtaining data from experts, interpretive structural modeling (ISM) results indicated that initial capital, top management commitment, training & experience, new technology and information, information quality, and strategic partnership with suppliers are the most crucial KSFs HCTs supply chain in the Pakistani context. Furthermore, MICMAC analysis categorized KSFs with the help of their driving and dependence power. These results support health strategists and policymakers to understand the severity of the identified top five KSFs and act as a moderator to take care of these KSFs, which would ultimately contribute to the successful delivery of the health care supply chain and improvement of critical health services. This study's results would also be helpful for the supply chain managers of the manufacturing industry in the Pakistani context. This research is one of the initial studies to precisely explore KSFs affecting health supply chains using a novel ISM-MICMAC and categorize KSFs with the help of their driving and dependence power by applying MICMAC analysis in the Pakistani SCM context.
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Background: Green supply chain management (GSCM) practices are vital to environmental protection. Many large-scale companies claim that GSCM applications are implemented in their business (with ISO 14001 documents, advertisements, etc.). The purpose of this study is to reveal the relationships between GSCM applications and the operational, environmental, and financial performance of the business. In addition, GSCM practices applied in the business ensure that what is done from the perspective of the final customer. It also determines the external pressures that affect the businesses most in protecting the environment. Methods: The study consists of two parts. The data in the first part includes the lower, middle and senior managers working in the construction sector operating in Turkey. The data in the second part includes the final customers located in Yenice, Çanakkale. Results: GSCM applications affect the operational, environmental, and financial performance of the business positively. Additionally, similar results were obtained for the final customers. However, there are differences in the degree of impact of both outcomes. Conclusions: GSCM applications in Turkey protect the environment while searching for the efficiency of the business. However, it seems that the GSCM applications of the business are not fully informed or understood by the final customers. In addition, business employees see that the first factor that will push people to become environmentalists is customer pressure, and the second is the pressure of nongovernmental organizations. The final customers, on the other hand, give priority to environmental awareness first and nongovernmental organizations second. State authority is in the third place.
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Background: The logistics market performance of developing countries has been measured by the Agility Emerging Markets Logistics Index [AEMLI] report since 2014. The main objective of this study is to propose a new model to assess the logistics market performance of developing countries and rank them based on this performance. Correspondingly, the AEMLI indicators were selected as the main criteria for assessing the logistics market performance of developing countries in this study. Methods: In the current study, the AEMLI indicators, which are domestic logistics opportunities [DLO], international logistics opportunities [ILO], business fundamentals [BF] and digital readiness [DR], were used as criteria to assess the logistics market performances of developing countries. First, the weights of the criteria were computed by a combination of subjective [SWARA] and objective [CRITIC] methods. Then, the CoCoSo method was used to rank developing countries according to their logistics market performance. Results: The findings indicate that BF is the most significant criterion, followed by ILO, DR and DLO. Based on the results of the proposed model, China, India, the United Arab Emirates [UAE], Malaysia, and Saudi Arabia had the best logistics market performance in 2022, while Angola, Myanmar, Mozambique, Venezuela, and Libya had the worst logistics market performance in 2022. Additionally, some differences in the ranking of developing countries according to logistics market performance can be observed in the proposed model compared to the AEMLI 2023 report. Conclusion: To the best of the author’s knowledge, this is the first study to examine logistics market performance through the combination of two weighting methods (both subjective and objective). The current study also contributes to the existing literature by providing insight into logistics market performance for carriers, shippers, distributors, policy makers, and others who focus on the world’s emerging markets.
Zapotrzebowanie transportowe z roku na rok zwiększa się. Dzieje się tak z powodu wzrostu produkcji i konsumpcji. Czym dłuższy jest łańcuch dostaw, tym większe są możliwości wystąpienia w nim zakłóceń, gdyż wszystkie operacje wiążą się z ryzykiem. Jednakże o ryzyku w kontekście łańcucha dostaw i zarządzania nim mówi się od niedawna. Niestety żadna branża nie jest odporna na przewidywalne i nieprzewidywalne zakłócenia, które wywołują straty (np. zaginięcie towaru). Z punktu widzenia przewoźników istotna byłaby możliwość przewidzenia wystąpienia np. uszkodzenia towaru. Artykuł koncentruje się na wykorzystaniu metod uczenia maszynowego do przewidzenia ryzyka uszkodzeń towarów (takich jak sprzęt RTV, AGD czy telefony/komputery) w transporcie drogowym. W ramach badań wykorzystano pięć inteligentnych metod: regresję logistyczną, maszynę wektorów nośnych (SVM); drzewo decyzyjne; naiwny klasyfikator bayesowski; AdaBoost. Natomiast celem jest przedstawienie koncepcji oraz wymienionych metod uczenia maszynowego, miar oceniających wydajność modeli oraz wyników związanych z przeprowadzonym badaniem. Postawiony cel zdeterminował wybór metod badawczych – wykorzystano analizę literatury oraz programowanie. W ostatniej części artykułu przedstawiono wyniki otrzymane z analizy pięciu modeli. W ramach badań ustalono, że najlepszą zdolność predykcyjną ma AdaBoost.
EN
The transport demand is increasing year by year. This is because of the increase in production and consumption. The longer the supply chain is, the more likely it is to be disrupted, as all operations involve risks. However, risk in the context of the supply chain and its management has recently been discussed. Unfortunately, no industry is immune to predictable and unpredictable disruptions that affect losses (e.g. loss of goods). From the point of view of carriers, it would be important to be able to predict the occurrence of, for example, damage to the goods. The article focuses on the use of machine learning methods to predict the risk of damage to goods (such as electronics, household appliances or telephones/computers) in road transport. The research used five intelligent methods such as: logistic regression; support vector machine (SVM); decision tree; naive Bayesian classifier; AdaBoost. The aim of the paper is to present the concept and the above-mentioned methods of machine learning, measures assessing the performance of models and the results related to the conducted research. The set goal determined the choice of the research methods – literature analysis and programming were used. The last part of the article presents the results obtained from the analysis of five models. The research established that AdaBoost has the best predictive ability.
W artykule przedstawiono wyniki badań odzwierciedlające istotę optymalizacji w logistyce i wymagania z tym związane. W praktyce – w ocenie autora – pojęcie to jest nadużywane ze względu na brak świadomości, że w większości sytuacji decyzyjnych dąży się do racjonalizacji działalności logistycznej, optymalizacja w decyzjach logistycznych powinna zaś polegać na jednoznacznym określeniu kryterium i wykorzystaniu określonego modelu obliczeniowego. Artykuł składa się z trzech części. W pierwszej z nich zostały przedstawione cechy wspólne i różnice racjonalizacji i optymalizacji. Druga część zawiera wyniki badań odzwierciedlające miejsce modeli optymalizacyjnych w typologii modeli. Część trzecia przedstawia logistyczne modele optymalizacyjne najczęściej wykorzystywane w praktyce przez menedżerów ds. logistyki. Jednym z priorytetów menedżerów ds. logistyki jest dążenie do zwiększania efektywności ekonomicznej procesów logistycznych. Wielowymiarowość logistyki niejako naturalnie komplikuje podejmowanie decyzji, a poszukiwanie rozwiązania optymalnego – optymalnej decyzji logistycznej – nie jest przedsięwzięciem jednoznacznym, oczywistym. Zasadne jest zatem określenie warunków, jakie należy spełnić, aby mówić o podejmowaniu decyzji optymalnych. Opisana sytuacja jest sytuacją problemową, która w zasadniczy sposób zdeterminowała badania i układ treści artykułu jako efektu tych badań.
EN
The article presents the results of research reflecting the essence of optimization in logistics and the requirements related to it. In practice – in the author's opinion – this term is overused due to the lack of awareness that in most decision-making situations, the aim is to rationalize logistics activities and optimization in logistics decisions should consist in clearly defining the criterion and using specific computational model. The article consists of three parts. In the first of them, common features and differences of rationalization and optimization were presented. The second part contains the results of research reflecting the place of optimization models against the background of model typologies. The third part presents logistic optimization models most often used in practice by logistic managers. One of the priorities of logistics managers is to strive to increase the economic efficiency of logistics processes. The multidimensionality of logistics somehow naturally complicates decision-making and the search for an optimal solution – the optimal logistics decision – is not an unambiguous, obvious undertaking. It is therefore reasonable to define the conditions that must be met in order to talk about making optimal decisions. The described situation is a problematic situation that fundamentally determined the research and the arrangement of the content of the article as the result of this research.
The study is aimed at solving the problem that has arisen in Ukraine in the field of household waste management, namely the generation, accumulation, storage, processing and disposal of waste. This issue is of particular importance for the population of each country, which is explained by the extremely negative impact of waste and landfields on the health and quality of life of the population, as well as the ecological situation of the respective territories. The purpose of the study is to improve the sorting, logistics and secondary use of solid household waste in Ukraine by adapting the waste management system in Ukraine to EU requirements. As a result of the research, it was confirmed that the volumes of waste generation are quite significant in different countries, their morphological composition varies depending on the level of economic development of countries, the level of application of advanced technologies, etc. The authors’ logically ordered scheme of domestic waste management in Ukraine showed a number of shortcomings: lack of deep separation of waste and practically no motivation to use solid waste for energy. As a result of the research, the authors suggested using eight containers for sorting household waste, which will become the basis for its further efficient use as a secondary resource. The authors proposed a system for improving the logistics chain of waste management, in particular, proposed vacuum transportation of sorted waste to processing lines, which will ensure the environmental friendliness of useful disposal processes. An analysis of the experience of the secondary use of solid waste in different countries showed the prevalence of energy utilization of waste, the current level of which in Ukraine is insignificant. In connection with the invasion of the Russian Federation in Ukraine, the volumes of waste generation of all types increased. There is an urgent need to use the bioenergy potential of waste in connection with the energy crisis caused by hostilities and fuel shortages. The concept of sustainable development of the field of solid waste management, which is based on economic, social, ecological and energy effects, with the interaction of which the phenomenon of synergy takes place, is substantiated.
Trade with the use of internet technology (e-commerce) provides new opportunities for expansion on a larger scale for already existing business entities and offers prospects for rapid development for new companies. This is possible due to the low entry barriers that encourage the sale of products. Online retail trade is gaining increased popularity in Poland. This article aims to analyze e-commerce development in Poland from 2010-2020. This analysis is based on data from the Central Statistical Office. The results of the analysis clearly show that the share of purchases made via the internet has been systematically growing from year to year. This growth contributes to the faster development of transport logistics, as well as the transport of the goods itself.
Purpose: This publication focuses on issues related to logistics management. The aim of this publication is to show the possibility of creating a logistics center within logistic networks. Design/methodology/approach: This publication uses a conceptual method based on observations, sales forecasts and distance analysis of logistics centers. Findings: The analysis of the collected and presented data as part of the concept of creating a logistics center Lviv-Rzeszów shows that such an action is justified, in particular in economic terms. The study shows that the optimization of processes as part of the implementation of the concept would allow for many benefits for the economy and regional development, as well as for the transport and logistics industry itself. Research Limitation/implication: During the study, there were limitations related to obtaining empirical data. The most important implication of the study is the statement that the planned investment will bring significant benefits to entrepreneurs and other market stakeholders. Originality/Value of paper: The publication showed the possibilities of using the new logistics center Lviv-Rzeszów and its impact regional and business development.
Purpose: Identification of the barriers and determinants of the use of autonomous robots in e-commerce. Design/methodology/approach: The research procedure included a review of Polish and foreign literature and survey research. The paper presents the results of a Delphi study among 25 experts of courier services. Findings: The use of autonomous robots may be one of the solutions that will contribute to the improvement of the functionality of processes in enterprises. The process of implementing autonomous robots is associated with building a relationship based on trust between the user and technology Research limitations/implications: Limitations of the conducted research reflects to only one Delphi round. Practical implications: The results of the study may be helpful for transport companies and courier companies in improving the process of delivering parcels. They can be used for elaboration policy, tools and instrument for the purposes of limitation identified under the study main barriers of the application of autonomous robots in the e-commerce. Originality/value: The presented research and conclusions provide practical tips for transport and delivery companies on how to use autonomous robots to improve the process of delivering parcels in the e-commerce sector, based on the results obtained from the Delphi study.
Purpose: The purpose of this article is to present the problems and challenges faced by organisation of distribution logistics with a selected example. Comparing the company to the competition and focusing on the problems and challenges faced by the studied enterprise on the market of fast-moving consumer goods. Design/methodology/approach: The subject of the study is the evaluation of distribution channels of the selected enterprise through the analytical and point method. Findings: The obtained results, thanks to the use of the analytical-point method and the efficiency index of distribution channels, indicate that for the surveyed enterprise, Eurocash distribution channels are not sufficiently effective. The indicator of distribution costs in sales compared to the competition is the highest. Several factors had an impact on such results. Research limitations/implications: However, the issues presented in the paper regarding the problems and challenges of distribution organization cannot be considered as exhaustive, because the discussed topics constitute a multifaceted and interdisciplinary research area. The study would be more complete if the management of distribution logistics on the FMCG market were presented based on the changes caused by the Sars-Cov-19 pandemic. Practical implications: The conducted research draws attention to the effectiveness of distribution channels on the FMCG market. The article may be useful for enterprises providing services in this business sector. Social implications: The article shows the importance of making decisions in the area of distribution processes that significantly affect the entire supply chain, and thus customer service. The use of optimal distribution channels affects the efficiency of logistics services, contributing to an improvement in the quality of service provided to the final recipient and the competitiveness of the company on the FMCG market. Originality/value: The work is addressed to entrepreneurs operating in the FMCG industry. As well as all those interested in the subject of logistics, management and distribution on the market of fast-moving consumer goods.
Objective: The aim of this article is to analyze and evaluate the introduction of selected Lean Manufacturing tools into the management of a given enterprise, the task of which is to increase the efficiency of the machine park and improve the quality of finished products. The introduced changes are also expected to increase the detectability of waste, avoid unnecessary stopping of machines and unplanned stoppages. Design/methodology/approach: As part of the research, the internal materials of the surveyed company were analyzed and free interviews with employees and specialists of the plant were conducted. An efficiency analysis of the production process was carried out. Findings: In order for the improvement of technical progress to function well, the requirement of an appropriate technical condition and the course of technical progress. The entire process flow of the product should be analyzed. Research limitations/implications: Subjectivity of the analysis thanks to the use of a qualitative approach in research. Future research may be related to creating a mentoring program in the area of interest. Practical implications: The results of the study can be used as input data for the design of training programs in the study area. Social implications: The concept of lean manufacturing is a tool for constant changes that can be observed both in the modern economy and in society. They require dynamic flexibility from entrepreneurs and looking for solutions that can optimize production processes. The concept includes a slogan such as corporate social responsibility, which grew out of sustainable development. It is prioritized by managers of various companies. Therefore, this work deals with the subject of Lean Management as an instrument of responsible business. Originality/value: This article is addressed mainly to companies that want to implement and improve Lean Manufacturing tools. It shows how companies can improve selected areas of production.
Purpose: The aim of the paper was the identification of 4.0 competences that should be characterized by logistics workers in the era of the fourth industrial revolution. Design/methodology/approach: First step was the desk research analysis of source material (monographic studies, publications and reports). The second step were primary (fragmentary) explanatory, descriptive and explanatory, focused on the implementation of one research goal. The method used in the course of the study was the "user-centric" CAWI (Computer Assisted Web Interview). Findings: Technologization and robotization require from employees to acquire new digital competences. Studies show that logistics workers are aware of the needed change. There is a need to acquire competences 4.0 which can consist of cognitive, informative and technical competences. Research limitations/implications: The main limitation of the research was the availability of employees in logistics companies and the precise division of enterprises in which the respondents were employed. In the available statistical summaries and address databases, there is no division taking into account the place of logistics as an element of business activities in enterprises. Practical implications: Research can be also a signpost for employers of what kind of competences should be developed in the future in the face of upcoming economy 5.0 and society 5.0. Originality/value: The article can be a road-map for sustainable digital transformation taking into account not only machines but also human beings.
This study aims to identify a model for building a resilient supply chain in a company testing engine oil samples. Unstructured face-to-face and structured remote interviews were used as the research methods. The proposed contextual research procedure allows for the elucidation of the content of the components of the final resilient supply chain model and may facilitate theory building on the basis of future multiple case studies. As a result of the research, it was found that at the level of the described chain, its strength and continuity of flow are based on the durability of relationships with suppliers, speed, trust, and information sharing, the role of which has been explained in relation to the nature of the supply chain. Due to the nature of the chain, building its resistance on the basis of agility, which is most often indicated in model approaches, has no justification in this case. It was also established that in this process, 4.0 technologies such as the internet of things (IoT), machine learning, artificial intelligence, and cloud technologies are more important for management at the level of the entire corporation than at the level of the tested chain. The analysis covered the supply chain embedded in the industry, which (according to the author’s knowledge) was not discussed in the context of logistics processes in world literature. Therefore, the results of the work undertaken are of great cognitive value.
In the era of dynamically developing unmanned systems and standoff ammunition, special attention should be concentrated on a new way to increase the viability of aviation differ from the concept of centralized single-capability air bases with advanced anti-aircraft systems. The concept of diversification of airports and landing sites, with the simultaneous location of multi-domain aviation task forces there, creates information saturation of the potential enemy and increases survivability of the force. Air bases become centers responsible for development of capabilities in order to establish properly prepared air forces task groups, capable to operate both closer to the FEBA (Forward Edge of Battle Area) and deeper into the own territory. This requires the creation of decentralized appropriate multi-domain logistics support systems. Provision based on autonomous logistic elements composed with resource packages located at appropriate operation level to firmly, flexibly and quickly secure aviation operations. The key is to depart from the philosophy of conducting operations, using specialized task groups of people and equipment, towards comprehensive multimodal and modular packages of combat and logistic capabilities.
Maintaining an adequate level of total logistics costs is a strategic goal of both the government and transport companies. Due to the all too infrequent coverage of this issue- this article can be used to compare, analyze and evaluate issues in this area. The research problem undertaken in the article is to conduct an analysis of the total cost of logistics in dynamic terms using the example of a transport company. The utilitarian purpose of the article is: to indicate what are the possibilities of optimizing the incurred costs of logistics in the studied enterprise. While the methodological goal is : Does the current scheme of logistics costs in the enterprise provide an opportunity to optimize them? Answering such formulated questions required an analysis of the of the literature in the field of logistics costs, conducting own research and using secondary research. The following methods, techniques and research tools were used: - Induction and deduction method, document analysis, descriptive modeling. - The method of induction and deduction was used to properly draw conclusions from multi-criteria analysis (AHP), statistical data and tables. - The analysis of documents, literature, thematic journals was a source of information about the logistics costs involved. - Descriptive modeling was used to formulate and describe the information and statistical data collected.
PL
Utrzymanie odpowiedniego poziomu całkowitych kosztów logistyki jest celem strategicznym zarówno rządu, jak i przedsiębiorstw transportowych. Z uwagi na zbyt rzadko poruszaną tematykę tego zagadnienia- artykuł ten można zastosować do porównania, analizowania i oceny zagadnień z tego zakresu. Podjęty problem badawczy w artykule dotyczy przeprowadzenia analizy całkowitych kosztów logistyki w ujęciu dynamicznym na przykładzie przedsiębiorstwa transportowego. Celem utylitarnym artykułu jest: wskazanie jakie są możliwości optymalizacji ponoszonych kosztów logistyki w badanym przedsiębiorstwie. Natomiast celem metodycznym jest: Czy aktualny schemat kosztów logistyki w przedsiębiorstwie daje możliwość ich zoptymalizowania? Udzielenie odpowiedzi na tak sformułowane pytania wymagało przeprowadzenia analizy literatury przedmiotu z zakresu kosztów logistyki, przeprowadzenia badań własnych oraz wykorzystanie badań wtórnych. Zastosowano następujące metody, techniki i narzędzia badawcze: - Metoda indukcji i dedukcji, analiza dokumentów, modelowanie opisowe. - Metoda indukcji i dedukcji posłużyła do właściwego wyciagnięcia wniosków z analizy wielokryterialnej (AHP), danych statystycznych oraz tabel. - Analiza dokumentów, literatury, czasopism tematycznych była źródłem informacji o występujących kosztach logistyki. - Modelowanie opisowe posłużyło do sformułowania i opisania zebranych informacji i danych statystycznych.
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Logistics managers are responsible for efficient functioning of transport companies. This article will allow logistics managers to better understand the essence of logistics projects and the implementation of alternative routes. The aim of this article is to show the process of implementation of new routing alternatives. The analysis was conducted for the period January ÷ April 2020, which marked the emergence of the first COVID-19 cases, as well as for the months January ÷ April 2021. Alternative routes were proposed and implemented to improve the quality of services in a transport company operating in Poland. The impact of the pandemic on the selected transport company was evaluated. The results on new sections of transport corridors were presented together with an in-depth verification of how the introduced changes affected the provided transport services. In the end, the most important benefits connected with the analysis and the implemented project were presented.
The purpose of risk analysis is to provide a concrete basis for risk decisions that can be made as part of the risk management process in comparing the risk outcomes with risk acceptability criteria. The main objective of the occupational risk assessment presented in the paper is to provide employees with effective protection of the health and life of employees against hazards occurring in the work environment, as best as possible under specific conditions.
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