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EN
The article discusses the application of digital twins in modern production plants. Challenges for the industry are presented. Next, the concept of a Digital Twin (DT) is introduced. An overview of technologies utilised by DT is provided and specific applications of the DT are discussed: to the logistics and manufacturing processes. The predictive quality control is covered as an important element of a DT. Finally, the problem of integration of digital technologies into plants systems is addressed. The modern challenges for the industry are mainly related to contradictive market requirements, such as high quality v. low price. There are difficulties for workers, too, who lose their positions or are forced to retrain or change their specialisations. The DT technologies are mostly related to sensorics and communications, which enable a bidirectional relation between the DT and the process. This constitutes an actual advantage and contributes to the effectiveness of production plants.
PL
Artykuł porusza tematykę zastosowania cyfrowych bliźniaków w nowoczesnych zakładach produkcyjnych. Przedstawiono wyzwania stojące przed przemysłem, a następnie omówiono koncepcję cyfrowych bliźniaków (DT). Zaprezentowano przegląd technologii wykorzystywanych w DT oraz przedstawiono ich specyficzne zastosowania w procesach logistycznych i produkcyjnych. Omówiono także predykcyjną kontrolę jakości jako ważny element DT. Na koniec wskazano problem integracji technologii cyfrowych z systemami zakładów. Współczesne wyzwania stojące przed przemysłem wiążą się głównie ze sprzecznymi wymaganiami rynku, takimi jak wysoka jakość przy jednoczesnym utrzymaniu niskiej ceny. Występują również trudności dla pracowników, którzy tracą pracę lub są zmuszeni do zmiany branży. Technologie DT są w dużej mierze związane z sensoryką i komunikacją, umożliwiającymi dwukierunkową relację między DT a rzeczywistym procesem, co stanowi istotną korzyść i przyczynia się do zwiększenia efektywności funkcjonowania zakładów produkcyjnych.
EN
The main objective of this article is to examine how organisational resilience is defined and its implications for logistics industry entities. For the purpose of a systematic literature review (SLR), bibliometric analysis and content analysis were used. The analysis reveals no unified definition of resilience in the logistics industry, though a common pattern defines it as an entity’s ability to achieve a desired outcome under disruptive conditions. The findings indicate that major disruptions, particularly the COVID-19 pandemic, are the primary reasons for the heightened research interest in this topic. The analysis carried out allows for further methodological work on systematising the concept of resilience in logistics activities (logistics industry), which is important in the context of maintaining the continuity of logistics processes, both from the point of view of supply chains and from the point of view of individual links. This is important from a cost perspective (analysis of the total cost of goods flow) as well as for building customer satisfaction.
PL
Głównym celem artykułu jest zbadanie, w jaki sposób definiowana jest odporność organizacyjna i jakie są jej implikacje dla interesariuszy branży logistycznej. W tym celu dokonano systematycznego przeglądu literatury (SLR), analizy bibliometrycznej i analizy treści. Analiza wykazała brak jednolitej definicji odporności w branży logistycznej, choć zidentyfikowane wspólne komponenty pozwalają określić ją jako zdolność podmiotu do osiągnięcia pożądanego rezultatu w warunkach zakłóceń. Wyniki wskazują, że poważne zakłócenia, w szczególności pandemia COVID-19, są główną przyczyną wzmożonego zainteresowania badawczego tym tematem. Przeprowadzona analiza pozwala na dalsze prace metodyczne nad usystematyzowaniem koncepcji odporności w działalności logistycznej, co jest istotne w kontekście zachowania ciągłości procesów logistycznych zarówno z punktu widzenia łańcuchów dostaw, jak i z punktu widzenia poszczególnych ogniw. Jest to ważne z punktu widzenia kosztów (analiza całkowitego kosztu przepływu towarów), a także dla budowania satysfakcji klientów.
EN
Purpose: The purpose of this article is to evaluate the use of artificial intelligence (AI) in customer relationship management (CRM) within the logistics industry. The research problem was formulated, to what level does the use of AI enhance customer communication in the logistics sector? Design/methodology/approach: This study employs literature analysis method and the analysis of order fulfillment and communication with the logistics operator was carried out for manufacturing companies and a logistics company. The analysis included the process of communication in order fulfillment by logistics operators using AI tools. In addition, CRM at operators InPost and DHL were compared. Findings: Logistics operators use AI in the order fulfillment process to create value for end consumers. Analysis of the logistics process indicated that customers notice and appreciate the quality of logistics processes in the communication between the manufacturer, logistics operator and the end customer. The level of satisfaction is directly related to the efficiency of these processes. Research limitations/implications: The study focused exclusively on the end-customer communication process only in the logistics industry. Further research directions in customer relationship management will focus on reducing the time to market of product information and making logistics offerings more flexible in response to increasing customer demands, which forces companies to look for new AI tools in CRM in logistics. Practical implications: Analysis of the use of AI in customer relationship management will have practical implications in the logistics industry. It will influence possible changes in the order fulfillment process. An analysis of the use of CRM by Polish operator InPost and global operator DHL shows a similarity in system operation. Social implications: Effective use of AI in customer relationship management contributes to a more positive perception of communication using artificial intelligence in the logistics industry. Originality/value: A research gap has been identified: the lack of analysis and evaluation of the process of using AI in customer relationship management in the logistics industry.
EN
Purpose: The purpose of this study is to analyze the Hyperloop system in terms of freight transportation management, aiming to improve the efficiency of cargo transport while supporting sustainable development goals. The research evaluates material flow and simulation processes to highlight the advantages of Hyperloop over existing transportation modes. Design/methodology/approach: the study employs advanced simulation tools such as FlexSim and Archicad, commonly used in design and logistics analysis. These tools enabled precise modeling and in-depth analysis of the Hyperloop transportation system, focusing on operational efficiency and identifying potential bottlenecks. Findings: The results demonstrate that the Hyperloop system can simultaneously handle both passengers and cargo according to a predefined schedule. The simulation model revealed the system's capacity, the load on the logistics infrastructure, the integration of passenger and cargo traffic and the key challenges associated with coordinating these flows to minimize potential downtime. Research limitations/implications: while the study provides a comprehensive framework for analyzing the Hyperloop system, it is limited to simulation-based analyses. Future research could include real-world testing and broader integration of various environmental and economic factors. Practical implications: The findings of the study provide practical insights for the implementation of Hyperloop technology in logistics and freight transport. They form a foundation for stakeholders to design efficient, sustainable and reliable transportation systems. Originality/value: This study contributes to the development of Hyperloop technology, highlights its potential to revolutionize freight logistics and provides a methodological framework for future development and research in this field.
EN
Purpose: The aim of the article is to analyze and assess the influence of the Covid-19 pandemic and the war in Ukraine on the supply chain logistics strategies in the context of shaping the results of enterprises implementing them that form the supply chain on the example of the selected Polish manufacturing and trading enterprises. Design/methodology/approach: The article is based on the study of literature and own empirical research. The results of own empirical research presented in the study are the effects of more extensive research on the analysis of logistics systems and logistics processes management in Polish manufacturing and trading enterprises in years 2020-2022 in the context of building the competitiveness of the enterprise. The research was being conducted from January 2023 to April 2024 among 459 randomly selected small, medium and large Polish manufacturing and trading enterprises. Findings: The Covid-19 pandemic and the war in Ukraine had a huge influence on logistics strategies in the vast majority of the surveyed manufacturing and trading enterprises. The most effective logistics managers made changes to logistics strategies that were appropriate to the conditions during the Covid-19 pandemic and the war in Ukraine. The conducted research confirmed that the implementation of a logistics strategy in the supply chain that is appropriate to the conditions enables the reduction in the likelihood of disruptions in the logistics system, quick and effective response to disruptions in logistics processes in the conditions of the Covid- 19 pandemic and the war in Ukraine, appropriate response to the market challenges, achievement of the set goals, increase in sales revenues at the same or even better financial liquidity than the competition and reduction in costs, and consequently, creation and maintenance of competitive advantage of the enterprises that form the supply chain. Research limitations/implications: This article presents only selected aspects of the influence of the Covid-19 pandemic and the war in Ukraine on the supply chain logistics strategies. Practical implications: The article offers practical suggestions for logistics managers on how to apply supply chain logistics strategies in the conditions of the Covid-19 pandemic and the war in Ukraine. Originality/value: The article fills the cognitive gap regarding the issue of supply chain logistics strategies. It provides an extensive review of the literature on supply chain logistics strategies in the conditions of the Covid-19 pandemic and the war in Ukraine. The article also fills the empirical gap. It presents the results of author's own research on selected aspects of the influence of the Covid-19 pandemic and the war in Ukraine on supply chain logistics strategies.
EN
Purpose: The aim of the article is to analyse and assess the influence of logistics innovations on shaping competitive advantage in the context of a global crisis on the example of selected Polish enterprises. Design/methodology/approach: The article is based on the study of literature and own empirical research. The results of own empirical research presented in the study are the effects of more extensive research on the analysis of logistics systems and logistics processes management in Polish manufacturing and trading enterprises in years 2020-2022 in the context of building the competitiveness of an enterprise. The research was being conducted from January 2023 to April 2024 among 459 randomly selected small, medium and large Polish manufacturing and trading enterprises. Findings: Enterprises achieving the best economic and market results implemented the supply chain management strategy. Enterprises competing by the supply chain had the greatest innovative potential. The best enterprises used partnership relations with entities being links in the supply chain, based on the exchange of strategic and operational information, in order to jointly implement logistics innovations that ensured the delivery of greater value to a customer than their competitors, the greatest possible increase in operational efficiency, reduction of the negative influence of the COVID-19 pandemic and the war in Ukraine on economic and market results, improvement of the flow of information, reduction of the risk associated with the implementation of logistics processes, faster and better response to the dynamically changing conditions – agility, building resilience and shaping competitive advantage respecting, at the same time, the principles of sustainable development. Enterprises achieving the best economic and market results used digital technologies in the area of logistics thanks to which they improved the flow of information, reduced the risk associated with the implementation of logistics processes and increased innovativeness. The conducted studies have confirmed that the rapid implementation of adequate logistics innovations in the conditions of a global crisis is extremely important as it enables the rapid reduction of the negative effects of the crisis, and thus ensures business stability and survival as well as shaping and maintaining competitive advantage respecting, at the same time, the goals of sustainable development. Research limitations/implications: The article presents only selected aspects of the influence of logistics innovations on shaping competitive advantage in the context of a global crisis. Practical implications: The article offers logistics managers practical suggestions on how to apply logistics innovations in times of a global crisis. Originality/value: The article fills the cognitive and empirical gap concerning the issue of logistics innovations in the conditions of a global crisis. It provides an extensive review of the literature on the influence of logistics innovations on shaping competitive advantage in the conditions of a global crisis. It presents the results of own research on selected aspects of the influence of logistics innovations on shaping competitive advantage in the conditions of a global crisis.
EN
This article aims to assess the occupational risks faced by truck drivers in the context of road transport development, using the Five Steps risk assessment method, which is consistent with international standards (ISO 12100, ISO 31000, ILO). The authors conducted a study to assess 23 occupational hazards faced by truck drivers. Furthermore, the authors identified the economic consequences of road accidents (employee absenteeism, compensation, and logistical losses). The highest risk levels were estimated for road collisions, fires, electrocutions, and factors related to driver stress and fatigue. These results are confirmed by statistics published by EU-OSHA and OSHA, confirming the accuracy of the risk analysis. The risk analysis demonstrates the need to implement specific preventive measures. The goal of this article is to fill a research gap in the assessment of occupational risk among truck drivers and to propose effective preventive measures, which constitute the basis for developing new occupational safety standards in the analyzed profession. It should be emphasized that risk assessment also allows for the identification of significant implications for shaping industry policy, which can contribute to reducing the risk of road accidents and improving driver safety, which is crucial for the efficiency and sustainable development of road transport.
EN
This article presents a novel, proprietary multi-aspect evaluation method designed specifically for assessing service in the transport, forwarding, and logistics (T&L) sector, with a focus on international road transport. Developed in 2023 in response to growing market volatility – including disruptions caused by the COVID-19 pandemic, geopolitical tensions such as the war in Ukraine, escalating energy prices, and regulatory changes like the EU Mobility Package – the method provides a robust framework for assessing and comparing service implementation across various market segments. It integrates economic, technical, qualitative, and environmental sustainability dimensions. Unlike existing methods, this approach facilitates precise service assessment comparisons between providers and clients, thereby uncovering substantial discrepancies in service perception. While both customers and companies identified faultless deliveries, reliability, and timeliness as key service selection criteria, companies consistently assigned higher importance ratings – particularly emphasizing completeness of service – revealing a tendency toward overestimation that suggests the need for more realistic self-assessment aligned with customer expectations. Empirical research conducted in 2023 using standardized questionnaires and interval-based evaluation techniques uncovered systematic overestimations by T&L companies regarding their service performance. Notably, companies frequently overestimate their service performance in areas such as reliability, technical standards, and reputation. The proposed method stands out for its integration of economic, technical, qualitative, and environmental sustainability parameters, along with its statistical rigor, as it applies tools such as Student’s t-test, the Mann–Whitney U test, chi-square test, and Cramer’s V coefficient. Its simplicity, low implementation cost, and adaptability make it suitable for repeated commercial use across different service segments. This innovative approach supports the development of rankings and forecasting trends. By offering a validated and scalable tool for comparative analysis, this innovative method fills a critical gap in the evaluation of T&L services and companies. It provides actionable insights for both internal management and external market positioning, with relevance extending beyond Poland to the broader EU context.
PL
W artykule przedstawiono zintegrowane podejście do projektowania opakowań transportowych, które łączy techniki numeryczne, zaawansowaną diagnostykę eksperymentalną oraz analizę rzeczywistego cyklu logistycznego. Kluczowym elementem jest precyzyjne szacowanie współczynników bezpieczeństwa, z uwzględnieniem warunków klimatycznych (wilgotność, temperatura), dynamiki transportu (wibracje, wstrząsy), długotrwałego magazynowania (relaksacja i pełzanie materiałów), a także specyfiki rozmieszczenia ładunku na palecie. Dzięki zastosowaniu czujników wilgotności, temperatury i przyspieszeń oraz zaplanowanemu cyklowi badań laboratoryjnych możliwa jest kalibracja modeli numerycznych w celu odwzorowania rzeczywistego zachowania opakowania. Podejście to umożliwia optymalizację doboru tektury i geometrii opakowania do konkretnego cyklu logistycznego, prowadząc do istotnych oszczędności materiałowych bez pogorszenia bezpieczeństwa transportu.
EN
This article presents an integrated approach to the design of transport packaging that combines numerical modeling, advanced experimental diagnostics, and analysis of real-world logistics cycles. A key element of the methodology is the precise estimation of safety factors, taking into account climatic conditions (humidity, temperature), transport dynamics (vibrations, shocks), long-term storage (material creep and relaxation), and real palletization scenarios, including overhang and non-uniform loading. Particular attention is given to the impact of structural discontinuities such as perforations, hand holes, and cutouts, which are often omitted in empirical strength estimations. The use of sensors to record humidity, temperature, and acceleration, along with a carefully planned experimental program, enables calibration of numerical models that reflect the actual behavior of packaging structures. This approach makes it possible to optimize the selection of board grade and package geometry according to a specific logistics profile, leading to significant material savings without compromising transport safety.
EN
This article discusses the challenges of automating and optimizing material handling processes using AGVs at an automotive manufacturing company. The scope included logistics operations, employee feedback, and solution functionality. The study found that the solution was insufficient due to missing elements such as risk analysis and development of PokaYoke. AGVs optimized logistics by eliminating 3 forklifts and 3 operators, but infrastructure limitations, lack of lean focus, and resistance to change hindered full implementation.
PL
W artykule omówiono wyzwania związane z automatyzacją i optymalizacją procesów obsługi materiałów przy użyciu AGV w firmie produkującej samochody. Zakres obejmował operacje logistyczne, opinie pracowników i funkcjonalność rozwiązania. Badanie wykazało, że rozwiązanie było niewystarczające ze względu na brak elementów, takich jak analiza ryzyka i rozwój PokaYoke. AGV zoptymalizowały logistykę, eliminując 3 wózki widłowe i 3 operatorów, ale ograniczenia infrastruktury, brak skupienia na szczupłej produkcji i opór przed zmianami utrudniły pełną implementację.
12
Content available remote Minimalizacja strat w produkcji na przykładzie gospodarstwa sadowniczego
PL
Celem pracy było przedstawienie technologii produkcji owoców twardych na przykładzie gruszy oraz wskazanie możliwości minimalizacji strat w procesie produkcji poprzez usprawnienie działań podejmowanych na każdym etapie procesu produkcji, od przygotowania sadu, przez pielęgnację, ochronę roślin i zbiór, aż po magazynowanie, sortowanie i transport owoców. Kluczowe znaczenie mają działania prewencyjne oraz wykorzystanie nowoczesnych technologii w produkcji i przechowalnictwie, które pozwalają ograniczyć liczbę owoców niespełniających wymogów jakościowych. Zastosowanie odpowiednich warunków chłodniczych, logistyki oraz optymalizacja procesów sortowania umożliwiają ograniczenie strat ilościowych i jakościowych. Efektywne zarządzanie łańcuchem chłodniczym oraz dostosowanie metod zbioru i transportu do właściwości owoców przyczynia się do poprawy rentowności produkcji oraz redukcji negatywnego wpływu na środowisko poprzez zmniejszenie marnotrawstwa żywności oraz innych zasobów.
EN
The aim of the study was to identify opportunities to minimise losses in pear fruit production by improving the steps taken at each stage of the production process, from orchard preparation, through care, plant protection and harvesting, to storage, sorting and transport of fruit. Preventive measures and the use of modern production and storage technologies to reduce the amount of fruit that does not meet quality requirements are crucial. The use of appropriate refrigeration conditions, precise logistics and optimised sorting processes make it possible to reduce quantitative and qualitative losses. Efficient management of the cold chainand adaptation of harvesting and transport methods to the sensitivity of the fruit contributes to improving the profitability of production and reducing the negative impact on the environment by reducing food wasteand other resources.
PL
W artykule przedstawiono technologiczne i konstrukcyjne determinanty modułowej struktury maszyn technologicznych. Zidentyfikowano także logistyczne uwarunkowania procesów wytwórczych takich maszyn. Wskazano znaczenie czynników logistycznych w zakresie transportu międzyoperacyjnego: w fazie obróbki elementów a także ich montażu. Wykazano, że struktura modułowa maszyn technologicznych stwarza charakterystyczne warunki, zwłaszcza w zakresie logistyki procesu wytwarzania takich maszyn. Przedstawione rozważania przeprowadzono na przykładzie obrabiarek skrawających jako reprezentatywnej grupie maszyn technologicznych, lecz wnioski będące wynikiem tych rozważań są słuszne także w odniesieniu do innych mas
EN
In the paper technological and structural determinants of the modular structure of technological machines were presented. The logistic conditions of the manufacturing processes of such machines were also identified. The importance of logistic factors in the field of interoperable transport: in the phase of processing of components as well as their assembly was indicated. It was shown that the modular structure of technology machines creates characteristic conditions, especially in the field of logistics of the manufacturing process of such machines. The presented considerations were carried out on the example of turning centers as a representative group of technological machines, but the conclusions resulting from these considerations are also valid for other group of technological machines.
PL
Dziś AI nie tylko funkcjonuje w branży TSL, ale staje się jej filarem. AI przestaje być obietnicą, a staje się konkretem.
PL
Platforma przyspiesza kluczowe operacje, takie jak kompletacja, pakowanie i uzupełnianie zapasów.
EN
Background: This article examines the impact of smart technology implementation on sustainable development practices within Polish logistics companies. In recent years, technologies supporting the optimization of logistics processes-such as route planning systems, real-time data analysis, and warehouse automation-have become increasingly important. The adoption of these technologies enables companies to manage resources more efficiently, while also reducing emissions and energy consumption. The main objective of this article is to investigate whether the adoption of such technologies correlates with higher levels of pro-environmental activities and greater commitment to corporate social responsibility (CSR), taking into account the specific characteristics of the Polish logistics market. Methods: The study employed descriptive statistics, Spearman's rank correlation, linear regression, Fisher's Z-transformation, and tests of normality and homogeneity of variance. Data were collected from 60 logistics companies, and selected through stratified random sampling based on company size, market of operation, and years of operation in the market. Indicators of technology use and sustainability were calculated to assess the extent of technology adoption and companies' commitment to sustainability. Building on this, statistical tests were performed to assess the strength and significance of the relationship between technology adoption and sustainability practices. Additionally, difference-in-differences analyses were conducted between subgroups identified by company size and business scope to assess the impact of these characteristics on the relationship between technology adoption and sustainability. Results: The analysis revealed a statistically significant positive correlation between the adoption of smart technologies and sustainability efforts. Companies operating in international markets, as well as those with more advanced technology implementations, demonstrated stronger sustainability performance. Regression analysis showed that the deployment of technology was a significant predictor of variation in sustainability practices among the surveyed companies. Further subgroup analysis suggested that the relationship between technology deployment and sustainability was stronger in larger companies and those with international operations. Conclusions: The findings suggest that smart technologies are playing a key role in enhancing the sustainability of the logistics sector in Poland, with their impact likely to be more pronounced in larger and internationally operating companies. For policymakers, this highlights the potential benefits of investing in technology to support sustainability goals and emphasizes the need for strategies tailored to the specific characteristics of companies.
EN
Background: The rapid growth of global e-commerce has heightened the need for resilient cross-border supply chains, particularly in emerging markets such as Vietnam. These supply chains are increasingly exposed to complex disruptions arising from health crises, regulatory shifts, and logistical constraints. Purpose: This study aims to identify and prioritize the key factors influencing supply chain resilience in Vietnam’s cross-border e-commerce (CBE) sector, and to analyze how these factors interrelate under conditions of uncertainty. Methods: A two-phase fuzzy multi-criteria decision-making framework was employed, integrating the Fuzzy Delphi method and Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL). Expert input was collected from a total of 25 professionals in logistics and CBE to evaluate and model the causal relationships among resilience factors. Results: Twelve critical dimensions were validated, with Risk Assessment and Mitigation Strategies (RAMS), Inventory Management (IM), and Pandemics and Health Crises (PHC) identified as the most influential. PHC and Information Technology and Connectivity (ITC) emerged as root causes driving the resilience network, with PHC exerting strong direct effects on RAMS and IM. Implications: The findings highlight the importance of strengthening preparedness for health-related disruptions and investing in digital infrastructure to enhance resilience in Vietnam’s CBE logistics. The proposed framework provides both theoretical insights and practical strategies for policymakers and managers seeking adaptive and robust supply chains.
EN
Background: Organizations seek new strategies when profitability falls below targeted levels. Environmental, social and governance (ESG) initiatives are increasingly recognized as key drivers of corporate performance. However, empirical insights into this relationship remain limited, particularly for transportation companies integrating high technology. This study aims to address this gap by examining how ESG practices influence the profitability of new technology-based firms (NTBFs) in the transport sector. Methods: This study analyzes data from transportation companies using high-tech solutions in the United Kingdom, spanning from 2010 to 2023, employing a multilevel Bayesian estimation approach to assess the relationship between ESG engagement and financial performance. Results: The findings reveal that, between 2010 and 2023, the selected transportation companies increased their investments in strategic activities, leading to improvements in ESG performance indicators. Conclusion: Drawing on resource-based view (RBV) theory, this study highlights ESG indicators as strategic resources that drive performance improvement. The findings provide valuable insights for practitioners and policymakers, emphasizing the critical role of ESG in enhancing a firm’s overall performance.
EN
Background: The symptoms of crisis can occur in practically any enterprise, regardless of the size and type of industry. Organizations operate in a given environment and are strongly dependent on social, economic, technological or legal trends. Nowadays, businesses are not able to protect themselves from crisis situations. However, using an appropriate response, they can reduce the costs of fighting a crisis or minimize market losses. Managing a crisis situation in an organization becomes particularly important if an unexpected destructive event occurs in the economy- this is how the effects of the COVID-19 pandemic or the general destabilization of supply chains caused by armed conflicts and various manifestations of trade war should be viewed. An organization's capability of implementing anti-crisis measures, even of a resilient nature, is created by the potential of organizational, human, cultural, technological, information and financial factors. The article aims to enrich the crisis management practice by furnishing knowledge about the purposefulness of the activities undertaken in relation to their effectiveness, incurred costs and sustainability of the obtained results. Methods: The aim of the study was to obtain a multidimensional characterization of the activities undertaken by enterprises in times of crisis related to destructive disruptions in supply chains and to formulate guidelines for managers regarding their rational application. The research methods used included, e.g. brainstorming and a multiple case study. 24 enterprises were analyzed. Results: The conducted study provides a comprehensive description of the activities undertaken by enterprises in three analyzed dimensions in the context of a crisis situation. In the first dimension, regarding the level of commitment of financial resources, what is noticeable is activities related to investments in production machines, supporting infrastructure and extending the offer with new products. In the second dimension, regarding the effects for an organization, in the area of logistics and production, the key activities focused on extending the offer with new products and investments in production machines. In the third dimension, regarding the sustainability of the achieved effects and their importance for the resilience of an organization, in the area of logistics and production, the key activities are investments in machinery and infrastructure. Conclusions: The results of the conducted research are an important contribution to the field of management, especially in the context of a crisis negatively affecting supply chains in manufacturing enterprises. The characteristics of activities undertaken in enterprises make it possible to identify activities with a beneficial impact, sustainable effects and to assess their impact on the resilience of an organization.
EN
Background: Artificial intelligence (AI) is poised to profoundly reshape logistics and supply chain management in the 21st century - much as the steam engine, electricity, and computers transformed industries in earlier eras. AI is recognised as a key driver in developing next-generation supply chains, enhancing organisational agility, and improving delivery efficiency. It supports a wide range of operational and managerial functions, including preventive, reactive, and corrective actions within logistics systems. Most importantly, AI reduces the risk of human error, thereby mitigating economic and business losses and lowering operational costs. This article aims to identify the most critical areas of AI application in logistics and supply chain management, explore its broader potential uses, and discuss solutions to implementation challenges, with particular emphasis on the human factor. As a holistic review, the study contributes to the literature by mapping current AI applications, highlighting emerging trends, and underscoring human-centric challenges, thereby providing a foundation for further research. Methods: A systematic literature review was conducted following the SALSA (Search, Appraisal, Synthesis, and Analysis) approach to address the research gap in understanding the practical applications of AI tools in logistics and supply chain management. Results: The analysis revealed five key directions for implementing AI technologies in logistics and supply chains. Human factors - and the related phenomenon of “dehumanisation”- emerged as critical challenges for managers overseeing transformations that extend beyond IT integration towards the systemic adoption of AI in operations and management. Conclusions: The potential applications of AI in logistics are diverse, encompassing demand forecasting, inventory management, delivery route optimisation, resources planning, and process monitoring, among others. Each of these applications influences the role of humans within organisations and operational processes, requiring strategic, tactical, and operational adaptation. The study identifies its limitations and proposes directions for future research on AI applications in logistics and supply chain management. Human-machine interaction should remain a central focus of future investigations into AI-driven transformations.
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