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1.
Computers and Industrial Engineering ; 178, 2023.
Article in English | Scopus | ID: covidwho-2253580

ABSTRACT

The COVID-19 pandemic forced upon the world, severe social distancing restrictions, which led to prolonged confinement across populations. The latter directly impacted actors along the supply chain in a variety of industrial sectors (for instance, raw material suppliers, manufacturers, distributors, and customers, among others). Some actors involved had to cease participation altogether due to closures. As a result, the supply chain requires restructuring and its reactivation requires careful consideration. In addition to the pandemic, poor air quality has brought about an environmental crisis in recent years. Primary polluters include greenhouse gas (GHG) emissions caused by manufacturers and distributors. Therefore, this research studies the problem of restructuring a particular multicommodity and hierarchized supply chain. Specifically for companies dealing with situations derived from a reduction in manufacturing capacity and service level in light of the pandemic. In this case, a company (leader) is faced with selecting customers that it will service in pursuit of maximizing profit, all while looking to minimize GHG emissions. The consolidated demand is nearshored once the leader company decides on the customers to be supplied. That is, an order is placed on a company with a lower hierarchy (follower). The follower, in turn, aims to minimize its own manufacturing costs without exceeding the pollution limits imposed by the government. However, its manufacturing plan inevitably pollutes and incurs different costs. In addition, the follower's decisions impact both leader's objective functions. We propose a bi-objective bi-level programming model to study this situation. To solve the problem in reasonable computational time, a heuristic algorithm that takes into account existing asynchrony between leader and follower companies is proposed to approximate the Pareto front. Computational experimentation reveals that the proposed algorithm provides good trade-off solutions, which can reduce GHG emissions by 67% on average without significantly affecting company revenue. Moreover, the algorithm is able to provide solutions for instances of up to 1000 nodes in a competitive computational timeframe. In addition, we discuss the advantages of computing GHG emissions proposed herein. Finally, useful managerial insights are discussed by performing a sensitivity analysis regarding the distribution company's minimum acceptable level of profit. © 2023 Elsevier Ltd

2.
Duazary ; 19(1):85-94, 2022.
Article in Spanish | Web of Science | ID: covidwho-1979831

ABSTRACT

At present it is going through a global pandemic that forced the human being to adopt different ways of relating and doing their daily tasks, for that reason we wanted to make a comparison of the depressive symptoms of caregivers, the perception of the function family and internalized and externalized problems in children aged two to five years, in three groups interviewed at three times: 1) before quarantine by COVID-19 in Colombia, 2) during the first three weeks of quarantine and 3 ) from the fourth to the sixth week of quarantine. The questionnaires used measured: sociodemographic characteristics, the perception of the impact of COVID-19 on the lives of individuals, the perception of family-function, depressive symptoms of caregivers, and the behavior and emotional state of children. Aggressive behavior (Mean = 8,79;p = 0,000), anxiety (3,85;p = 0,025) and attention problems (2,53;p = 0,023) were found to be higher in the third group studied. The perception of family function was more positive in the third group (Average: 14,06;p = 0,006). The findings indicate that home confinement is an unprecedented measure that can have a negative impact on preschool childre.

3.
English Teaching ; 2022.
Article in English | Scopus | ID: covidwho-1831608

ABSTRACT

Purpose: Set in a Mexican-American community of a US Gulf Coast state, the purpose of this paper was to describe how three young siblings and their family members constructed their spiritual, ethnic and communicative identities within the context of a virtual family literacy program during COVID-19. Design/methodology/approach: This project was approached as an illustrative case study that focused on one family’s engagement with a children’s book in which the protagonists retell the legend of the Catholic patroness of the Americas, Our Lady of Guadalupe. Findings: The case study illustrates how the children's spiritual/religious identities were inseparably intertwined with their home literacy practices and their identities as communicators with others. The children’s everyday spiritual/religious practices, routines and activities motivated familial conversations and dialogue that engage and support children’s literacy development. Originality/value: Although there is a large corpus of scholarship about secular early literacy program for families with preschool children, there are few that describe the recognition and inclusion of families’ spiritual/religious identities. © 2022, © Emerald Publishing Limited.

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