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Using a comprehensive survey of rural households during the early stage of the COVID-19 pandemic in China, we find that logistics disruptions due to the lockdown have resulted in severe economic losses for rural households. Insufficient production inputs and perishable outputs can aggravate the impact of logistics disruptions on losses, while the purchase of agriculture insurance and higher regional GDP can mitigate this effect. We further examine the mechanisms by which logistics disruptions affect rural households, including both sales and production channels in agricultural supply chains. The former includes changes in product prices and reduced sales, while the latter includes changes in input prices and shortages of raw materials, capital, and labor. Of these channels, logistics has the most severe impact on sales. Opening up the logistics of sales channels is the primary policy choice. More storage warehouses and insurance are also important preemptive measures. Building stable and sustainable agricultural supply chains can ensure rural household viability during the pandemic. © 2022 by the authors.
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International trade connections with COVID-19 impeding the development of the logistics industry in express delivery, the world has become an inseparable part of daily life. To improve protection competency, there is a need for effective research on logistics warehouse fire accident alarms. The goal of this study is to create a novel fire risk evaluation method for fire safety managers in logistics warehouses. The Gustav method is used to convert a plane model to a stereoscopic model. Hazards to construction, hazards to life, and fire rescue competency are all taken into account. The empirical study used JingDong Gu'an logistics park as a case study, and the evaluation results revealed differences in fire risk levels between the two warehouses. The results show that the transmit warehouse had a higher fire risk level than the sorting warehouse. The method describes the total risk of a warehouse fire. It is appropriate for the various types and processes found in modern logistics warehouses. The results of the developed 3D-Dynamic method demonstrate the model's feasibility and practicability even to laypeople with limited professional knowledge. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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Purpose: This study examines the lack of confidence in the actions of the government and pharmaceutical companies during vaccine deployment. The authors introduce the concept of supply chain immunity. The authors test whether the perception of higher vaccine supply chain immunity leads to higher willingness to be vaccinated within the supply chain community. Design/methodology/approach: The authors utilize factor analysis and item response theory methods to develop a scale for measuring supply chain immunity. The original and psychometrically sound scale is tested via a structural equation model (SEM). Factor analysis and SEM use survey responses from two samples of 125 supply chain executives. Findings: SEM suggests that supply chain immunity perceptions are a strong predictor of overall supply chain confidence for COVID vaccines. Further, these perceptions, through supply chain confidence, indirectly impact individuals' self-reported willingness to personally accept a vaccine themselves. Originality/value: This paper presents the concept of supply chain immunity perceptions that have not been used in the medical supply chain literature. This paper presents a first-of-a-kind scale for supply chain immunity perceptions utilizing nascent methods and demonstrates the constructs impact on vaccine program confidence and public willingness to participate. © 2022, Emerald Publishing Limited.
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The state of California, in the United States of America, has a population of nearly 40 million people and is the 5th largest economy in the world. During the coronavirus disease 2019 (COVID-19) pandemic in 2020-2021, the state experienced a medical surge that stressed its sophisticated health-care and public health system. During this period, ventilators, oxygen, and other equipment necessary for providing ventilatory support became a scarce resource in many health-care settings. When demand overwhelms supply, creative solutions are required at all levels of disaster management and health care. This study describes the disaster response by the state of California to mitigate the emergency demands for oxygen delivery resources. © The Author(s), 2021. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
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The COVID-19 global health crisis forced border closings, strained resources and tightened funding, forcing humanitarian organisations to innovate. This paper aims to identify gaps in the literature on innovation in humanitarian supply chains, and to develop an appropriate framework for future research through a systematic literature review. We use a systematic literature review approach and synthesis the discussion of innovation in humanitarian supply chains after reviewing 43 papers. The synthesis identifies the different contexts for and outcomes of innovation in humanitarian supply chains. Our findings indicate that research on innovation in humanitarian supply chains is an underdeveloped topic. Gaps we identified in regards to the humanitarian context are: (1) a limited discussion of the contribution by the beneficiary to the supply chain;(2) a limited discussion of reconstruction innovations;(3) a lack of study on field application for complex innovations;(4) the lack of discussion of the role of individual knowledge in humanitarian supply chain innovation and finally (5) a lack of study of position innovations where humanitarian organisations use supply chains as a way to market effectively towards donors. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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The proceedings contain 79 papers presendted at a virtual meeting. The special focus in this conference is on Recent Advances in Mechanical Engineering Research and Development. The topics include: Firmware of Indigenous and Custom-Built Flexible Robots for Indoor Assistance;Automation of AM Via IoT Towards Implementation of e-logistics in Supply Chain for Industry 4.0;Evaluation and Optimization of Process Parameter for Surface Roughness of 3D-Printed PETG Specimens Using Taguchi Method at Constant Printing Temperature;Evaluation of Preventive Activities of COVID-19 Using Multi-criteria Decision Making Method;mechanical Characterization of Concrete with Rice Husk-Based Biochar as Sustainable Cementitious Admixture;Ranking of Barriers for SSCM Implementation in Indian Textile Industries;Framework to Monitor Vehicular GHG Footprint;solution to Real-Time Problem in Shifter Knob Assembly at Automobile Manufacturing Industry;performance of Chemical Route-Synthesized SnO2 Nanoparticles;a Numerical Study to Choose the Best Model for a Bladeless Wind Turbine;Effect of Tissue Properties on the Efficacy of MA on Lungs;effect of Process Parameters and Coolant Application on Cutting Performance of Centrifugal Cast Single Point Cutting Tools;Study and Analysis of Thermal Barrier Application of Lanthanum Oxide Coated SS-304 Steel;recovery of Iron Values from Blast Furnace Gas Cleaning Process Sludge by Medium Intensity Magnetic Separation Method;fatigue Analysis of Rectangular Plate with a Circular Cut-Out;protection of Vital Facilities from the Threat of External Explosion Using D3o Material;investigation on Coefficient of Heat Transfer Through Impact of Engine Vibration;electrical Modulus and Conductivity Study of Styrene-Butadiene Rubber/Barium Hexaferrite Flexible Polymer Dielectrics;preface.
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The increased frequency and severe consequences of risks in the cruise industry have attracted increasing attention from both academics and practitioners, especially after the 2012 ‘Costa Concordia' disaster and the 2020 coronavirus outbreak on the ‘Diamond Princess'. Although the literature on risk studies associated with the cruise industry and supply-chain risk management is growing, the extant literature lacks a study to view risks in the cruise industry associated with the supply chain. This paper addresses this gap by reviewing the literature on risks related to the cruise industry and general supply-chain risks to create a framework of cruise supply-chain risks. Then, semi-structured interviews were conducted to validate the identified risks and explore potential undiscovered risks. A novel risk typology of the cruise supply chain was then built based on the literature review and the empirical study. This includes macro risks, safety, security, and health risks, information risks, and supply risks. This framework can be applied for the purpose of systematically identifying the risks and their impacts on the cruise supply chain. This paper contributes to the development of a comprehensive cruise supply-chain risk classification with a detailed explanation of each risk in the cruise supply chain, which can be used by stakeholders in the cruise industry to identify and measure the impact of each risk. Additionally, this paper provides avenues for future research by scholars interested in assessing and managing cruise supply-chain risks. © National Academy of Sciences: Transportation Research Board 2022.
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The proliferation of the e-commerce market has posed challenges to staff safety, product quality, and operational efficiency, especially for cold chain logistics (CCL). Recently, the logistics of vaccine supply under the worldwide COVID-19 pandemic rearouses public attention and calls for innovative solutions to tackle the challenges remaining in CCL. Accordingly, this study proposes a cyber-physical platform framework applying the Internet of Everything (IoE) and Digital Twin (DT) technologies to promote information integration and provide smart services for different stakeholders in the CCL. In the platform, reams of data are generated, gathered, and leveraged to interconnect and digitalize physical things, people, and processes in cyberspace, paving the way for digital servitization. Deep learning techniques are used for accident identification and indoor localization based on Bluetooth Low Energy (BLE) to actualize real-time staff safety supervision in the cold warehouse. Both algorithms are designed to take advantage of the IoE infrastructure to achieve online self-adapting in response to surrounding evolutions. Besides, with the help of mobile and desktop applications, paperless operation for shipment, remote temperature and humidity (T&H) monitoring, anomaly detection and warning, and customer interaction are enabled. Thus, information traceability and visibility are highly fortified in this way. Finally, a real-life case study is conducted in a pharmaceutical distribution center to demonstrate the feasibility and practicality of the proposed platform and methods. The dedicated hardware and software are developed and deployed on site. As a result, the effectiveness of staff safety management, operational informatization, product quality assurance, and stakeholder loyalty maintenance shows a noticeable improvement. The insights and lessons harvested in this study may spark new ideas for researchers and inspire practitioners to meet similar needs in the industry.
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Sigmoid functions (growth function, logistic function, evolution function, etc.) are used to describe, study and forecast several phenomena of the life. In some cases (for example, in case of the COVID-19 disease), the phenomenon has several waves, which needs to apply multilogistic (multiwave logistic) curves in order to perform realistic investigation. In product design, the logistic curve can describe the lifecycle of a product. A product lifecycle can be finished by the significant decrease of the market, but in some cases, several new developments and innovations can regenerate the increase of the market by starting a new boom. This renewing process can invoke several waves of the phenomenon, which will make necessary the application of multilogistic curves for the correct study. This multiwave behaviour of the product lifecycle makes this phenomenon very similar to the time history of the COVID-19 disease which also has several waves, because of the newer and newer virus variants. Analysis and comparison of several phenomena described by logistic curves, or bi- logistic, tri- logistic or multilogistic curves can be made easier by the application of the EBSYQ (Evolutionary Based SYstem of Qualification and comparison of group achievements) comparison and qualification system. The similarity between the multiwave characteristics of the product lifecycle and coronavirus time history makes possible to apply several results, skills and methods of comparison and investigation, which were developed and used previously during the analysis of several waves of the disease also for the case of product lifecycle analysis. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Knowing personality traits and how people tend to think, feel and behave has been always an appealing and studied topic. This interest together with the vast amount of data generated every day on social networks present an ideal scenario to address this problem. By properly processing this data, it could be useful for many aspects of people's daily life. In this study, we applied different Machine Learning methods to solve this problem using a dataset labelled with the MBTI personalities, and we compared several algorithms such as Naïve Bayes, Logistic Regression and three different Artificial Neural Networks. Two main experiments were conducted. First, a clustering-oriented solution. Second, a classification approach. The latter turned out to outperform the clustering methods. On average, our models achieved around 90% accuracy. Finally, in order to show an example of our solution, we will validate our model with the latest news about COVID-19 and the La Palma Volcano. © 2023 Elsevier Ltd
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Purpose: Pre-eclampsia and eclampsia (PE/E) are rising in Sub-Saharan Africa, including Nigeria. This study aims to evaluate the availability and logistics management of sixteen items from the Nigerian essential medicine list required for managing these conditions. Design/Methodology/approach: A cross-sectional study in 50 health-care facilities in Lagos State, Nigeria, at the beginning of the COVID-19 pandemic by interviewing the facility's main person in charge of health commodities. Data were recorded during the visit and in the previous six months using the adapted Logistics Indicators Assessment Tool (LIAT). In addition, descriptive analysis was conducted based on the World Health Organization availability index. Findings: The availability of 13 (81%) of the commodities were high, and 3 (19%) were relatively high in the facilities, stock out rate during the visitation and previous six months varied with the commodities: urinalysis strip (22%) and (40%), hydralazine (20%) and (20%), labetalol injection (8%) and (20%), labetalol tablet (24%) and (24%) and sphygmomanometer (8%) and (8%). No stock out was recorded for 11 (69%) commodities. All the facilities observed 9 (75%) out of the 12 storage guidelines, and 36 (72%) had a perfect storage condition score. Limitations/Implications: Current state of PE/E health commodities in the selected facilities is highlighted, and the strengths and weaknesses of the supply chain in these health facilities were identified and discussed. Originality/value: These commodities' availability ranged from reasonably high to very high. Regular supportive supervision is germane to strengthening the logistics management system for these commodities to prevent the negative impact on the health and well-being of the people during the COVID-19 pandemic and post-pandemic. © 2023, Adesola Olalekan, Victor Igweike, Oloruntoba Ekun, Abosede Adegbite and Olayinka Ogunleye.
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In the last decade, e-commerce has been growing consistently. Fostered by the covid pandemic, online retail has grown exponentially, particularly in industries including food, clothing, groceries, and many others. This growth in online retailing activities has raised critical logistic challenges, especially in the last leg of the distribution, commonly referred to as the Last Mile. For instance, traditional truck-based home delivery has reached its limit within metropolitan areas and can no longer be an effective delivery method. Driven by technological progress, several other logistic solutions have been deployed as innovative alternatives to deliver parcels. This includes delivery by drones, smart parcel stations, robots, and crowdsourcing, among others. In this setting, this paper aims to provide a comprehensive review and analysis of the latest trends in last-mile delivery solutions from both industry and academic perspectives (see Figure 1 for overview). We use a content analysis literature review to analyse over 80 relevant publications, derive the necessary features of the latest innovation in the last mile delivery, and point out their different maturity levels and the related theoretical and operational challenges. (Figure presented.). © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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The COVID-19 pandemic has highlighted the relevance of goods delivery in urban areas. However, this activity often generates negative environmental impact and several technologies have been proposed in recent years to reduce it, thus forming a complex innovation landscape characterized by different levels of maturity and effects on the City Logistics (CL) system. This complexity causes a deep uncertainty over the future of CL. This paper aims to tackle this uncertainty by forecasting the future of a set of CL technologies. A Delphi survey has been submitted to experts of this field to achieve a stable consensus over 33 projections related to 7 CL technologies for the year 2030. Results show that real-time data collection will help the coordination process between stake-holders, engendering an increased awareness over the value of using logistics data as well as its potential drawbacks. Moreover, experts share a positive attitude towards the expansion of Parcel Lockers, which should be monitored by public authorities to avoid a negative impact on land use. Finally, technologies such as drones and crowd-logistics have drawn the lowest level of consensus due to their lower level of maturity, which arouse the necessity to further explore several issues such as legal and technical barriers.
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Purpose>This study applied the herd mentality theory to explore local and global social media users' responses to panic buying across the USA, UK and Australia during the COVID-19 crisis to understand the implications on operations and supply chains.Design/methodology/approach>A total of 208,806 social media user-generated content (UGC) pieces were collected from Twitter in three countries – the USA, UK and Australia. The analysis of this big qualitative data was performed using machine learning–based software – Leximancer.Findings>Positive and negative sentiment towards panic buying during the COVID-19 crisis was observed in the UGC. No significant differences in social media UGC sentiment between the three countries were found;however, differences did exist in key themes. This suggests that the focus, not the sentiment, of consumers' responses to panic buying differed across countries. Social media users follow their location-based and topic-consonant social "herd”, rather than the global "herd”.Research limitations/implications>This study was the first to show that social media users' herd mentality differs in a crisis. The herd mentality of social networks is dependent on factors such as the geographic location of the social network (herd), which can differ from the global herd's reaction, specifically in terms of topics evident in UGC.Practical implications>Operations and supply chain managers need to include social media UGC analysis in their strategies in crisis management responses. The topics, not the sentiment, of consumers' responses to panic buying require managerial actions.Originality/value>This is the first study to show that herd mentality during a crisis, such as COVID-19, is not unidimensional and varies according to the location of the social media network with profound implications for operations and supply chain managers.
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Based on the Baidu Index, taking "warehousing"and "warehouse"as the keywords, the Baidu search index of "warehousing"and "warehouse"nationwide is statistically analyzed. It is found that the Baidu search index with "warehousing"and "warehouse"as the keywords has significantly increased before and after the COVID-19 epidemic, which shows that the basic role of logistics warehousing in the national economic and social development is increasingly obvious, and the corresponding demand for logistics warehousing is growing. Based on the big data of Warehouse in Cloud, incomplete statistics of "warehousing demand"of "demand location"in China's provinces are similar to the analysis of differences in the source places (regions and provinces) of different search groups through the "population portrait"of Baidu Index. The "warehousing demand"and "warehousing supply"of the key cities in central and Western China are counted. Focusing on the key cities in central and Western China, the correlation analysis of warehousing rent and demand area is carried out. It is found that, on the one hand, the regional logistics warehousing demand is 3 years (the lease term is less than 1 year or 1-3 years), with intra-period volatility. On the other hand, regional centers (National Central Cities) have absolute advantages in the attraction of regional logistics and warehousing. Furthermore, in recent years, due to the impact of the COVID-19 epidemic and extreme meteorological and geological disasters, the adverse impact on the regional economic and social development will show that the demand for logistics and warehousing will be interrupted, reduced and lagged, and the growth will be restored in subsequent years. The average rent of key cities in Western China is 22.52 yuan/m2·month, the average vacancy rate is 11.65%, and there are 1359 warehouses in the park. The average rent of key cities in the central region is 23.5 yuan/m2·month, the average vacancy rate is 13.86%, and there are 1070 warehouses in the park. From the perspective of rent, Changsha shows the highest rent, while Taiyuan shows the lowest rent. Furthermore, the vacancy rate of Chongqing and Xi'an are the highest and lowest, respectively. There is a correlation between the variable of warehousing rent in 2022 and the total retail sales of consumer goods in 2021 (Spearman correlation coefficient is significant). There is a correlation between the variable of average warehousing demand area in 2019-2021 and the sample of the third industry production value in 2021 and the sample variable of total import and export volume of goods in 2021 (Pearson correlation coefficient is significant). The variable of average warehousing demand area in 2019-2021 and the sample variable of resident population. There is a correlation between the total retail sales of social consumer goods in 2021 (Spearman correlation coefficient is significant). On the one hand, the statistical analysis of big data on the digital warehousing information platform can provide reference for the prediction of supply and demand of logistics warehousing and modern logistics service industry in the high-quality development of the region. On the other hand, the spatial econometric analysis of logistics industry and regional economic growth represented by logistics warehousing needs further research. CCS CONCEPTS •Human-centered computing ∼Collaborative and social computing ∼Collaborative and social computing theory, concepts and paradigms ∼Computer supported cooperative work © 2022 ACM.
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This research aimed to examine the impact of Green Supply Chain Quality Management (GSCQM) on Corporate Green Performance (CGP). A questionnaire was distributed to a sample of (113) practitioners of large multinational companies in the industrial sector and which are established in Morocco. Data were analyzed using PLS-Smart software which is specialized in structural equation modeling. The software was used to determine whether the tin dimensions of Green Supply Chain Quality Management (i.e. independent variable);Green Human Resource Management, Green Leadership Behavior, Green Supplier Quality Management, Customer Focus, Process Management, Information and Analysis, Eco-Design, Green Purchasing, Environmental Cooperation, and Reverse Logistics have a significant impact on Corporate Green Performance(i.e. dependent variable). The software was also used to test the two mediation variables, namely: Green Organizational Culture and Green Innovation. The findings revealed that the practices of << Green Supply Chain Management >> are having a significant impact on green innovation;and the implementation of the << Green Supply Chain Management >> has a positive effect on Corporate Green Performance. However, Green Organizational Culture and Green Innovation did not have a significant impact on Corporate Green Performance according to the respondents' ratings. Therefore, this study is based on two main theories, namely: cost theory, institutional theory, green theory, stakeholder theory and resource-based theory.
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As demand for e-commerce surged during the COVID-19 pandemic, investors began pouring billions into start-ups promising to accelerate digitization and automation in small-margin, winner-take-all sectors, such as retail, grocery, and dining. I examine two business models that feature prominently in this swell of financial optimism: dark stores and ghost kitchens. Both sacrifice consumer-facing real estate to create logistical spaces for online order fulfillment, and both are predicted to become permanent fixtures of the post-pandemic economic landscape. However, few have commented on the consequences of this future-in-the-making or who is likely to suffer them. The essay therefore anticipates how "going dark” may impact consumers, workers, and urban geographies. I argue that going dark represents a new threshold in the spatial materialities and financial imaginary of platform urbanism, what I call the logistical-urban frontier. I theorize how this frontier threatens historically disenfranchised urban communities, and I conclude the essay with a reflection on the conflicted temporalities of logistical speculation.
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PurposeAlthough big data may enhance the visibility, transparency, and responsiveness of supply chains, whether it is effective for improving supply chain performance in a turbulent environment, especially in mitigating the impact of COVID-19, is unclear. The research question the authors addressed is: How do logistics firms improve the supply chain performance in COVID-19 through big data and supply chain integration (SCI)?Design/methodology/approachThe authors used a mixed-method approach with four rounds of data collection. A three-round survey of 323 logistics firms in 26 countries in Europe, America, and Asia was first conducted. The authors then conducted in-depth interviews with 55 logistics firms.FindingsIn the first quantitative study, the authors find mediational mechanisms through which big data analytics technology capability (BDATC) and SCI influence supply chain performance. In particular, BDATC and SCI are two second-order capabilities that help firms develop three first-order capabilities (i.e. proactive capabilities, reactive capabilities, and resource reconfiguration) and eventually lead to innovation capability and disaster immunity that allow firms to survive in COVID-19 and improve supply chain performance. The results of the follow-up qualitative analysis not only confirm the inferences from the quantitative analysis but also provide complementary insights into organizational culture and the institutional environment.Originality/valueThe authors contribute to supply chain risk management by developing a three-level hierarchy of capabilities framework and finding a mechanism with the links between big data and big disaster. The authors also provide managerial implications for logistics firms to address the new management challenges posed by COVID-19.
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The pandemic has clearly demonstrated the global interdependence of states and contributed to the formation of new trends that have changed the image of traditional logistics. Modern logistics, being in a state of transition, has faced not only short-term challenges such as COVID-19, but also long-term problems ranging from structural shifts in production and marketing processes and globalization patterns, and ending with changes in consumption patterns and resource spending, as well as a broad global agenda in the field of sustainable development. In this regard, there is a need to develop theoretical and applied aspects of the transition of logistics to sustainable development under the influence of COVID-19. The theoretical basis was the scientific works of domestic and foreign authors in the field of logistics, sustainable development, certain provisions of international framework documents. The initial information for analysis, forecasting and drawing conclusions was the official data of the Statistical office of the European Union (Eurostat), the State Statistics Service of Ukraine (Goskomstat), International Civil Aviation Organization (ICAO), International Transport Forum (ITF), United Nations Conference on Trade and Development (UNCTAD). As a result of the generalization of the theoretical and methodological foundations of logistics, the article proposes the author's definition of sustainable logistics, which made it possible to expand the scientific vision of its content, taking into account modern challenges, as well as to identify its role in ensuring sustainable development. An analysis was made of the development of transport logistics before and during the pandemic. A forecast of freight turnover by type of transport for 2022 has been built. The main trends in the transition of logistics to sustainable development under the influence of COVID-19 are identified.
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PurposeThe purpose of this study is to analyse the crisis network response of European countries and the role played by defence organizations (DOs) during the early response phase of the pandemic, here set to encompass 75 days.Design/methodology/approachPublished materials – reports, news and communications – provided by authorities and DOs were used. Some of the authors actively participated in national pandemic response networks. An exploratory approach and qualitative content analysis were applied. The data were collected in national languages from 13 European countries, and they were coded and analysed using the actors, resources and activities (ARA) framework.FindingsThis study identified three main categories of activity structures in which the DOs interacted with civilian members of response networks, health-related services, logistics services and public support services. These networks among actors were found within formal response systems and emergent networks. The DOs engaged as actors that provided a range of services when civil authorities could not cope with the huge demand for specific services and when resources were scarce in the initial response phase.Originality/valueThis study contributes by filling an important research gap with regard to the civil-military relations associated with the use of DO resources in the civil response to the pandemic crisis in Europe, which is described as an untraditional response. The ARA network approach provides a framework for arranging ARA and extends the wider civil-military network to expand the formal networks of the early crisis response. The study lays knowledge about the co-operation between civilian and military actors in different contexts and provides a broader understanding of the roles that DOs played in the response operations.