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With the advent of healthy visions, two of the trends that have become extremely important in the supply chain in recent decades are corporate social responsibility (CSR) and sustainability, which have affected the activities of buyers and suppliers. The next trend that is emerging is the vision of creating shared value (CSV), which wants to move the supply chain toward solving social problems in a completely strategic way. This research intends to develop a step-by-step framework for evaluating and segmenting suppliers based on CSV criteria in the supply chain. In the first stage, the criteria for creating sustainable shared value (CSSV) are obtained through existing activities in the field of CSR. The obtained criteria are then divided into two categories, strategic and critical, and then the weight of each criterion is obtained using the best–worst method (BWM). In the next step, based on the Kraljic model, the suppliers are divided into four clusters using the preference ranking organization method for enrichment evaluation (PROMETHEE) technique. This framework helps the buyer to conclude and select purchasing decisions and relationships with suppliers through the lenses of CSV and sustainability.
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(ProQuest: ... denotes non-USASCII text omitted.) The annual Global Innovation Index released in September 2021 ranked China twelfth, surpassing developed economies such as Japan, Israel, and Canada and raising fears in the United States amidst sluggish growth in North America and strong growth in the Asia Pacific region.1 Interestingly, the United States government responded by boycotting the Beijing Olympic Games, citing human rights abuses as the main reason.2 A tech war between China and the United States brewed beneath the diplomatic rancor over the attendance at the Olympic Games. Part I documents how the United States has assisted China's tech and intellectual property domination through President Nixon's historic visit to China, giving China Most Favorite Nation (MFN) status and ascending China to the World Trade Organization (WTO). [...]under Deng Xiaoping's leadership during the reform period, China rapidly developed its special economic zones (SEZs), laying the foundation for subsequent tech innovation and production. [...]broadcasting, telecommunications, office machines, computers, integrated circuits, and cell phones are among China's notable exports to the world.9 China dominates in commodities and raw materials, exporting refined petroleum, cotton, plywood, and tea.10 For agricultural products, China occupies the perch as the world's largest producer. Shenzhen rose as the largest among the four.18 Shenzhen, a small fishing locale in the southern part of China's southern province, Guangdong, served as the pioneer of Deng Xiaoping's embrace of economic reforms.19 A market-oriented economy took root in Shenzhen, allowing foreign companies and entities from Hong Kong and Macau to operate and allowing Chinese talents the freedom to leave their hometowns and move into the SEZs.20 Cheap labor proved to be another significant factor facilitating China's rise as a global manufacturer.21 In the 1980s, multinational corporations from Taiwan, Japan, and South Korea, as well as domestic Chinese companies, opened their factories in the SEZs and other cities in China to take advantage of the cheap and plentiful labor force.22 Indeed, when Deng Xiaoping began his pilot SEZs, China's young workers who wished to lift themselves out of poverty descended into the economic zones in search of better opportunities.23 Shenzhen grew from a population of 59,000 in 1980 to a population of 12,357,000 in 2020.24 The new migrants became the workers, participants, and stakeholders in the global manufacturing frontier.25 Because of the abundance of cheap labor, manufacturers in China have no difficulty keeping production prices low and pleasing consumers and businesses worldwide.26 China's currency manipulation is another factor propelling China to its domination in global manufacturing.27 The United States Congress attempted numerous times to introduce legislation to combat China's currency manipulation.28 China artificially devalued its currency through government control of the exchange rate and refused to let the Chinese Renminbi (RMB) float.29 Despite strong criticisms from the United States, China refuses to allow its currency to freely float.30 China's currency manipulations, according to critics, caused the widening of trade deficits between the United States and China.31 China's currency manipulation allows products to be manufactured at lower prices, hampering competitors and thereafter replacing them.32 In order to cope with China's currency practices, United States manufacturers facing their own existential crises must decide to either outsource jobs overseas or face large risks, including financial ruin.33 The United States lost millions of manufacturing jobs due to massive job outsourcing as the trade deficits between the United States and China continued to persist.34 Geopolitically, in shaping post-Cold-War powers, the United States decided to assist China in its transformation from a poverty-stricken country to a global manufacturer.
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In moments of crisis that test the stability of US nationalism—the civil war, the expansion of American empire, World Wars I & II, the civil rights era, the post-industrial era, 9/11, COVID—a pattern of violence against Asian Americans seems to make an appearance. Nearly a third of the nurses who have died of coronavirus in the United States are Filipino, even though Filipino nurses make up just 4% of the nursing population nationwide.2 Over 1.2 million Asian Americans labor in food-related industries nationwide—at farms, food processing factories, grocery stores, and restaurants—and are placed at higher risk of infection and mortality.3 In the spring of 2021, in the span of two months, lone white gunmen murdered Asian Americans in Atlanta, Indianapolis, and San Jose (all of the victims were essential service workers). In presenting the data, Wong and Liu invite us to consider how anti-Black tropes and invocations of a persistent "Black-Asian conflict" diverted attention away from the role of white supremacy in fomenting an anti-Asian climate. The new White House immediately promised to "Build Back Better" with a sweeping plan to restore domestic stability and the nation's reputation abroad;implied was the beating back of Trumpian revanchism.
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As a post-Covid-19 pandemic, many things came up with new requirements because of frequent lockdowns and social distancing constraints. Hence, many pharmaceutical industries and manufacturing units are looking for automated solutions. In the era of Industry 5.0, non-conventional machining processes are on the verge of Industry 6.0 with inclusion of artificial intelligence, deep learning and automated processes for additive or subtractive machining requirements. Non-conventional machining is in practice worldwide;however, it is required to support these kinds of manufacturing processes with remote automation, monitoring and auto-fault clearance methods. Pharmaceutical, chemical and hazardous plant handling is one of the major problems in industries throughout the world. Hence, this paper presents the automated continuous monitoring system using artificial intelligence, which can be a human machine interfacing module with a strategy to clear leakage fault automatically. This paper also discusses the various implications in conventional and non-conventional machining processes and also suggests the next generation hybrid machining system as a future scope of the research. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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PurposeCoronavirus (COVID-19) brought massive economic damage throughout the globe. Economic as well as social set-ups have enormously collapsed. The present paper underlines some economic complications of China during COVID-19. The study also sheds light on initiatives taken by the government of China to fight against such a damaging pandemic.Design/methodology/approachThe study employed secondary research or desk research that involves existing data. The data were collected from reliable sources, described below. The data were summarized and organized to increase the overall efficacy and reliability of the research.FindingsThe study finds that China has confronted many downturns in export and import, GDP decline, blockage of markets and production evaluation. To recover from these unfavorable and adverse circumstances, China has recovered its economy by introducing digital transformation, effective legislations, A V-shaped recovery and A U-shaped recovery in manufacturing and services.Practical implicationsChina's steps and initiatives to invigorate economic developments during a pandemic would be beneficial for other economies facing the severe challenges of economic development, especially after COVID-19.Originality/valueThe present study is one of the rare studies of the domain that offers the guidelines to the policymakers and economists of developing countries to develop their policies regarding the digital economy to face the traditional market's challenges.
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Post-COVID-19, there are frequent manpower shortages across industries. Many factories pursuing future technologies are actively developing smart factories and introducing automation equipment to improve factory manufacturing efficiency. However, the delay and unreliability of existing wireless communication make it difficult to meet the needs of AGV navigation. Selecting the right sensor, reliable communication, and navigation control technology remains a challenging issue for system integrators. Most of today's unmanned vehicles use expensive sensors or require new infrastructure to be deployed, impeding their widespread adoption. In this paper, we have developed a self-learning and efficient image recognition algorithm. We developed an unmanned vehicle system that can navigate without adding any specialized infrastructure, and tested it in the factory to verify its usability. The novelties of this system are that we have developed an unmanned vehicle system without any additional infrastructure, and we developed a rapid image recognition algorithm for unmanned vehicle systems to improve navigation safety. The core contribution of this system is that the system can navigate smoothly without expensive sensors and without any additional infrastructure. It can simultaneously support a large number of unmanned vehicle systems in a factory.
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PurposeThis study aims to present a study on the supply chain process of a Myanmar-based pharmaceutical company (named ABC Pvt. Ltd. in this study) that produces pharmaceutical products across Myanmar and aims of bringing quality medical products and best care for Myanmar people's health. The study aims to identify the key supply chain challenges and manage the opportunities executed by this pharmaceutical company to improve the supply chain process during the COVID-19 outbreak.Design/methodology/approachThis work used a case study and conducted semistructured interviews with the manager, senior managers and senior staff of the ABC Company to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the uncertainties, real-time information and agility in a digital supply chain using grey relational analysis (GRA) method.FindingsFrom the data analysis and results, "Impact of political factor,” "Delay in import process” and "Weak internet connection,” and "Weak knowledge of the use of digital platform,” "Poor information sharing in online by employees” and "Information flow from top management to operational level” have been identified as top and bottom three key challenges, respectively. "Inventory management,” "Selection of transport method” and "Operational cost”, and "Marketing and brand Innovation,” "Online delivery of products” and "E-commerce enablement (Launching applications, tracking system)” are identified as the top and bottom three managing the opportunities, respectively.Research limitations/implicationsThe findings of the study help to supply chain decision-makers of the company in their establishment of key challenges and opportunities during the COVID-19 era. As a leading company, it always tries to add value to its product through a supply chain system, effective management teams and working with skillful decision-making toward satisfying the demand on time and monitoring the supplier performance.Originality/valueThe novelty of this study is to identify the key supply chain challenges and opportunities by the GRA method to rank them, considering the case of Myanmar pharmaceutical manufacturing company as a case-based approach to measuring its performance during the COVID-19 outbreak era. This work will assist managers and practitioners help to the company to provide optimal services to its consumers on time in this critical situation.
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Modern society is living at a time of revolutionary changes in all areas of human life. For example, the field of industrial manufacturing has greatly influenced the role of human beings during the past 30 years. Modern manufacturing systems are in a phase of transition, in accordance with the concept of the fourth industrial revolution (Industry 4.0). A new manufacturing paradigm based on the principles of Industry 4.0 is presented by Smart Manufacturing Systems (SMS). A basic building block of SMS is cyber-physical production systems (CPPS), which together with innovative-management principles of emergence, self-organization, learning, open innovation, collaboration and the networking of people and organizations are the key principles of Industry 4.0. The three key enablers of Industry 4.0, i.e., the connectivity, the digitization and the cybernation of work processes in manufacturing systems, have paved the way for a new industrial revolution, i.e., Industry 5.0 concept that is bringing about a new paradigm in the field of manufacturing systems, the so-called Adaptive Cognitive Manufacturing Systems (ACMS). A fundamental building block of ACMS is the new generation of manufacturing systems called Cognitive Cyber-Physical Production Systems (C-CPPS), which are based on CPPS concepts and incorporate cognitive technologies and artificial intelligence. This paper presents the revolutionary development of manufacturing and manufacturing systems through the industrial revolutions and the evolution of the role of humans in manufacturing systems towards Industry 5.0.
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The Sugar Milling Research Institute NPC (SMRI) has provided the South and southern African sugar industry with analytical services for more than 50 years. The need for an internationally-recognised quality assurance system to provide SMRI members and their customers with the necessary confidence in the results that they were receiving was recognised more than 25 years ago, and it culminated in the SMRI Analytical Services Division achieving ISO/IEC Guide 25:1990 accreditation in 1998. The SMRI analytical laboratory has since successfully progressed through the ISO/IEC 17025:1999 and ISO/IEC 17025:2005 iterations to the current ISO/IEC 17025:2017 standard. The SMRI has therefore had to continually expand the scope of its systems over the past 25 years, in order to match the updated requirements. The system is used for the analysis of weekly composite mixed juice and final molasses samples from all the SMRI South African member mills and some southern African member mills. Similarly, raw and white sugar analyses are conducted, with the reporting of results to the members' specifications. Critical to the accuracy of these results is the continual auditing and monitoring of the methods, equipment and chemical solutions that are used in the analysis methods. This is achieved by using Certified Reference Materials and control samples, as well as participating in internationally-recognised analytical proficiency schemes. Critical to the success of the laboratory in maintaining its accreditation is the competence of the laboratory staff who undergo continual training and assessments. This was demonstrated in 2020 and 2021, when they were able to continue providing the necessary services, despite the challenges faced during the Covid pandemic.
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In today's competitive environment, having the best sequence of operations for production and distribution activities is a basic need for survival. As a result, one of the major challenges in fixed supply chain systems is unnecessary transportation costs and the inability to meet customer demand as quickly as possible. In order to meet these challenges, factories and mobile equipment have been considered in this study, and have recently been used in several industries, including pharmaceutical, chemical, and dairy. In the course of this study, a novel mathematical model was put forward for an integrated production and distribution scheduling problem taking into account some real-world features, focusing on reducing customer waiting time and also reducing production costs. A small-scale problem was resolved to check the model's accuracy. The accuracy of the model is affirmed given the example and its solution acquired from GAMS software. The results of the study prove the effectiveness of this model in reducing customer waiting time and production costs and also demonstrate that the model has the capacity to be utilized by all organizations that produce and distribute perishable products, including dairy and pharmaceutical products, chemical compounds and masks during the Coronavirus pandemic. © 2022,Mathematical Modelling of Engineering Problems.All Rights Reserved.
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PurposeThis paper aims to identify and assess global risks in the supply chain performance.Design/methodology/approachFirst, global risks are identified and classified according to three criteria: content, probability and context. A set of supply chain performance indicators are then defined by the theory of resource-based view and balanced scorecard. Structural equation modeling is adopted to access risks in the global supply chain.FindingsThis article contributes to the supply chain risk management literature by providing a detailed operationalization of global supply chain risk constructs, e.g. natural disasters, war and terrorism, fire accidents, economic and political instability, social and cultural grievances, decease. Empirical results reveal that the supply chain is predominantly regarded as being vulnerable as the proposed model of risks can explain up to 12.6% variance of supplier performance, 25.2% innovation and learning, 23% internal business, 40.6% customer service and 32.4% finance.Research limitations/implicationsThese risks are relevant contextual variables in strategic supply chain decisions. Supply chain managers should keep in mind acceptable cost/benefit tradeoffs in their firms' mitigation efforts associated with major contingency risks. This research advocates the allocation of scarce resources to adopt the supply chain strategies of avoidance, speculative and postponement.Originality/valueThe application of the strategic content/process/context to explain global supply chain performance is an interesting approach. Moreover, globalization trends and the COVID-19 perspectives are considered to be the main reasons for increasing such complex factors. Data on validating research models collected during the COVID-19 pandemic reflect the topicality of this study.
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PurposeThe main purpose of this paper is to explore innovative ideas for a sustainable fashion supply chain in the future by focusing on investigating the impacts of COVID-19 on the fashion supply chain and review sustainable supply chain.Design/methodology/approachA systematic literature review (SLR) and a case study have been undertaken to explore the innovative ideas for a sustainable fashion supply chain developed after the COVID-19 outbreak. Having conducted a comprehensive literature search in electronic databases Google Scholar, Emerald Insight, ScienceDirect and ProQuest, 69 articles were selected and reviewed. A case of the Kering Group was used to explain the results.FindingsThis paper highlighted the basic concepts of a sustainable supply chain, reviewed the 10 principles of the United Nation Global Compact and their connections to promoting supply chain sustainability, as well as the three components of a sustainable supply chain: green supply chain, transparent supply chain and circular supply chain. Based on the results of a SLR and a real case of Kering Group, the paper identified 12 innovative ideas for a sustainable fashion supply chain: (1) biodegradable and natural materials, (2) textile recycling, (3) nearshoring, (4) artificial intelligence (AI), (5) robot, (6) 3D printing, (7) Internet of Things, (8) blockchain, (9) reverse resources;(10) bio-packaging, (11) augmented reality (AR) and virtual reality (VR) and (12) digital runway.Research limitations/implicationsThe epidemiological situations of the COVID-19 pandemic and the corresponding innovative ideas for a sustainable supply chain may change over time. While this paper provides a comprehensive literature review and case study, further research is needed to evaluate the effectiveness of current efforts in the development of a sustainable fashion supply chain through collecting both quantitative and qualitative data.Practical implicationsEmbracing the issues from the COVID-19 pandemic, the results of this study are further explained by the case of Kering Group in the fashion industry. The managerial implications of the results and discussion are the need to adopt innovative ideas for a more sustainable fashion supply chain in the future. The success of sustainable supply chains work by leveraging the best available technologies such as robot, 3D printing, AR and VR, setting consistent standards for sustainability such as Environmental Profit and Loss and Kering & Textile Exchange and communicating with all parties throughout the supply chain, such as blockchain and AI. Investment in developing technology and innovative ideas will be the key of future to supply chain sustainability. Nonetheless, the specific approach used by each organization must be tailored to its characteristics, goals and circumstances.Social implicationsBringing upon unprecedented challenges, the pandemic has shown both companies and consumers just how fragile our planet is. Thus, to protect our planet in the long run, we need to not only make businesses more sustainable but also live more eco-friendly lifestyles.Originality/valueTo the best of the authors' knowledge, this is the first work that conducts a systemic review of the relevant academic journal articles addressed to the managerial audience on sustainable (fashion) supply chain. In addition, this paper also adds some consideration to this gap by exploring the innovative ideas for a sustainable fashion supply chain in the future and using a case to illustrate how these ideas can be put in a real-life context. This paper discusses the impact of COVID-19 on different stages of the supply chain and gives innovative ideas that can be used in response to the changing epidemiological situations of the pandemic.
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Resilience is becoming an increasingly important trait for global and lean supply chains, especially due to recent external shocks or disruptions to supply chains, such as the Covid-19 pandemic, the Suez Canal blockage or the container shortage. Furthermore, megatrends and ongoing developments as for instance a rapidly growing global population, advancing urbanization, resource scarcity and digitalization intensify the question of resilient and sustainable production and logistics systems. Cities are a hotspot for value creation and are connected to specific opportunities and challenges at the same time for manufacturing industry in urban factories. To cope with these developments, a structured process has been designed to analyze the influence and linkages between the characteristics of urban factories and resilience indicators. With these connections, opportunities and challenges for urban factories and their supply chains regarding resilience indicators can be identified. The results can be utilized to create more resilient production sites and supply chains in an urban environment and in general. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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For that reason, this is a book for those with an interest in the built environment, the real estate economy, offices and the workspace and the role of individuals in the development of cities. When it was published (2021), we were one year into the COVID-19 pandemic and the London office market was struggling to see occupancy levels reach 10% what they had been at the start of 2020.Throughout 2020 and 2021, a variety of "experts” in the UK were prophesying the end of the office. The book studies this development process and the consequences from the growth of trade and increasing office demand whereby the City of London could not accommodate buildings and people within the Square Mile.
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The root of Isatis tinctoria L. is highly appreciated as a Traditional Chinese herbal medicine for the prevention and adjuvant treatment of respiratory diseases caused by coronaviruses viruses such as SARS and COVID-19. I. tinctoria hairy root cultures (ITHRCs) provide a better alternative to field cultivation for the production of antiviral flavonoids. For the first time, ITHRCs were exposed to different colors of LED lights i.e., red, green, blue, red/green/blue (1/1/1, RGB), and white, in an attempt to promote the root growth and enhance the production of bioactive flavonoids. Results revealed that the biomass productivity (7.15 ± 0.63 g/L) in ITHRCs with an initial inoculum size of 0.2% cultured for 50 days under blue light increased by 1.86-fold relative to that under dark (control), and yields of rutin (320.49 ± 27.56 μg/g DW), quercetin (388.75 ± 9.17 μg/g DW), kaempferol (787.90 ± 83.43 μg/g DW), and isorhamnetin (269.11 ± 20.08 μg/g DW) increased by 4.15-fold, 9.31-fold, 9.09-fold, and 2.88-fold as compared with control, respectively. Interestingly, the emergence of adventitious buds was noticed in ITHRCs under all light treatments. Additionally, the enhanced densities of chloroplasts and root hairs were found in blue-light grown ITHRCs as against control, which might account for the elevated biomass productivity. Moreover, blue light induced oxidative stress in ITHRCs in terms of the overproduction of oxidation products and the enhancement of antioxidant enzyme activity. Furthermore, blue light significantly activated photoreceptor (CRY1) and key regulator of light signaling (HY5), thus leading to the up-regulated expression of MYB4 and structural genes (such as CHS and FLS) responsible for flavonoid biosynthesis. And, the transcriptional activation of CUC1 was likely related to the formation of adventitious buds in ITHRCs. Overall, the simple supplementation of blue LED light makes ITHRCs more attractive as plant factories for obtaining higher productivity of biomass and medicinally important flavonoids. © 2023 Elsevier B.V.
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Liquid-liquid phase separation (LLPS) is responsible for the formation of so-called membrane-less organelles (MLOs) that are essential for the spatio-temporal organization of the cell. Intrinsically disordered proteins (IDPs) or regions (IDRs), either alone or in conjunction with nucleic acids, are involved in the formation of these intracellular condensates. Notably, viruses exploit LLPS at their own benefit to form viral replication compartments. Beyond giving rise to biomolecular condensates, viral proteins are also known to partition into cellular MLOs, thus raising the question as to whether these cellular phase-separating proteins are drivers of LLPS or behave as clients/regulators. Here, we focus on a set of eukaryotic proteins that are either sequestered in viral factories or colocalize with viral proteins within cellular MLOs, with the primary goal of gathering organized, predicted, and experimental information on these proteins, which constitute promising targets for innovative antiviral strategies. Using various computational approaches, we thoroughly investigated their disorder content and inherent propensity to undergo LLPS, along with their biological functions and interactivity networks. Results show that these proteins are on average, though to varying degrees, enriched in disorder, with their propensity for phase separation being correlated, as expected, with their disorder content. A trend, which awaits further validation, tends to emerge whereby the most disordered proteins serve as drivers, while more ordered cellular proteins tend instead to be clients of viral factories. In light of their high disorder content and their annotated LLPS behavior, most proteins in our data set are drivers or co-drivers of molecular condensation, foreshadowing a key role of these cellular proteins in the scaffolding of viral infection-related MLOs.
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Intrinsically Disordered Proteins , Virus Diseases , Humans , Organelles/metabolism , Intrinsically Disordered Proteins/metabolism , Viral Proteins/metabolism , Virus Diseases/metabolism , Eukaryota/metabolismABSTRACT
Fundamental key processes in viral infection cycles generally occur in distinct cellular sites where both viral and host factors accumulate and interact. These sites are usually termed viral replication organelles, or viral factories (VF). The generation of VF is accompanied by the synthesis of viral proteins and genomes and involves the reorganization of cellular structure. Recently, rVSV-ΔG-spike (VSV-S), a recombinant VSV expressing the SARS-CoV-2 spike protein, was developed as a vaccine candidate against SARS-CoV-2. By combining transmission electron microscopy (TEM) tomography studies and immuno-labeling techniques, we investigated the infection cycle of VSV-S in Vero E6 cells. RT-real-time-PCR results show that viral RNA synthesis occurs 3-4 h post infection (PI), and accumulates as the infection proceeds. By 10-24 h PI, TEM electron tomography results show that VSV-S generates VF in multi-lamellar bodies located in the cytoplasm. The VF consists of virus particles with various morphologies. We demonstrate that VSV-S infection is associated with accumulation of cytoplasmatic viral proteins co-localized with dsRNA (marker for RNA replication) but not with ER membranes. Newly formed virus particles released from the multi-lamellar bodies containing VF, concentrate in a vacuole membrane, and the infection ends with the budding of particles after the fusion of the vacuole membrane with the plasma membrane. In summary, the current study describes detailed 3D imaging of key processes during the VSV-S infection cycle.
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COVID-19 , Vesicular stomatitis Indiana virus , Humans , Vesicular stomatitis Indiana virus/genetics , SARS-CoV-2 , Viral Proteins/metabolismABSTRACT
In this 21st century, in front of the whole world it was a very unlikely occurrence of a new pandemic named as Covid-19. First China and after other countries it advanced its black claw on Bangladesh. Bangladeshs government was aware of the pandemics predicament and took steps to protect the population, as well as the economy and numerous industrial sectors. Though the government of Bangladesh did its hardest to provide all forms of assistance to the countrys economy, the government was unable to successfully control the pandemic due to the countrys large population and peoples irresponsibility. Due to the significant impact of Covid-19 during this epidemic, various economic and financial sectors were severely harmed, particularly the garment industry sector. Covid-19 also has an impact on financial institutions such as banks and other financial institutions. Small businesses, start-ups, and other commercial concerns were also severely harmed. The impact of the epidemic on these industries has had a huge impact on all sectors. This research aims to give a comprehensive and useful overview of the observed and potential consequences in the near future. The study relied on secondary data. Information was gathered from numerous media sources, articles, newspapers, policy experts, and other publications in order to better comprehend it. The goal of this research is to describe Bangladeshs pandemic challenges and government response to the worldwide issue.
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Risk propagation is occurring as an exceptional challenge to supply chain management. Identifying which supplier has the greater possibility of interruptions is pivotal for managing the occurrence of these risks, which have a significant impact on the supply chain. Identifying and predicting how these risks propagate and understanding how these risks dynamically diffuse if control strategies are installed can help to better manage supply chain risks. Drawing on the complex systems and epidemiological literature, we research the impact of the global supply network structure on risk propagation and supply network health. The SIR model is used to dynamically identify and predict the risk status of the supply chain risk at different times. The results show that there is a significant relationship between network structure and risk propagation and supply network health. We demonstrate the importance of supply network visibility and of the extraction of the information of node firms. We build up an R package for geometric graphs and epidemics. This paper applies the R package to model the supply chain risk for an automotive manufacturing company. The R package provides a firm to construct the complicated interactions among suppliers and display how these interactions impact on risks. Theoretically, our study adapts a computational approach to contribute to the understanding of risk management and supply networks. Managerially, our study demonstrates how the supply chain network analysis approach can benefit the managers by developing a more holistic framework of system-wide risk propagation. This provides guidance for network governance policies, which will lead to healthier supply chains.
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This paper describes an academic project building on various state-of-the-art Industry 4.0 technologies. The project considers as the primary scenario the current problem behind the accumulation of biological waste in the vicinity of hospitals due to the COVID-19. To that end, a fully automated personal protective equipment recycling plant is developed using the Factory I/O simulation tool, TIA Portal, and Ignition. The project is considered to serve well as a reference for other Electrical Engineering undergraduates while complementing their training in skills such as design, automation, and supervision of industrial processes. © 2022 IEEE.