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43rd International Annual Conference of the American Society for Engineering Management, ASEM 2022 ; : 206-212, 2022.
Article in English | Scopus | ID: covidwho-2256470

ABSTRACT

Spare parts play an important role in supporting capital goods maintenance, contributing to downtime reduction and lifetime extension. However, once systems are becoming more and more advanced, and their reliability has also increased, both trends enlarged the amount of components with low demand, and spare parts management are becoming more complicated. Consequently, given the mindset change about delivery times with Covid-19 pandemic and the concern related to global spending in aftersales services, together with customers demanding high uptime levels and TCO (Total Cost of Ownership) reduction, the search for more efficient methods to manage spare parts inventory has emerged. Based on the use of industry 4.0 techniques, the aim of this study is to propose a framework for spare parts provisioning, reducing both maintenance and downtime costs. Copyright, American Society for Engineering Management, 2022.

2.
IMA Journal of Management Mathematics ; 2022.
Article in English | Web of Science | ID: covidwho-2070116

ABSTRACT

This paper aims to quantify the effects of production disruptions (PDs) and physical distancing constraints due to the pandemic in a parallel-machine production environment. The machines are non-identical and are utilized for producing a finite set of jobs (parts) in a plastic injection moulding production. The production process is subjected to random production downtime disruptions. A mixed-integer linear programming (MILP) model is developed for optimizing the joint production plan and schedule, which maximizes the production's total benefit. The model is utilized to plan and schedule a set of 17 machines in a Canadian manufacturing company. To explore the effects of physical distancing and PDs on the production's total net profit, four different scenarios for normal operation and production during the pandemic, with and without production downtimes, are considered. A genetic algorithm is utilized to solve the model. The results show that considering machines' random breakdowns and physical distancing individually reduces the total profit of the production by 71.58 and 57.98%, respectively;while their joint effect results in a 88.54% reduction in the annual net profit.

3.
E-Journal of International and Comparative Labour Studies ; 9(3):20-36, 2020.
Article in English | Scopus | ID: covidwho-1857742

ABSTRACT

This article aims to study the changes in the legal regulation of employment relations in Ukraine following the outbreak of COVID-19. The pandemic has increased law-making activity. However, the obsolescence of Ukraine’s Labour Code has produced questionable outcomes. For this reason, the disadvantages caused by the rules governing employment relations in Ukraine should be dealt with, while seeking higher involvement of the social partners, scholars and relevant international organizations. © 2020 ADAPT University Press. All rights reserved.

4.
Quality Progress ; 55(2):8-9, 2022.
Article in English | ProQuest Central | ID: covidwho-1823707

ABSTRACT

"Adapting strategies for the future of work, supply chain resilience and digital maturity can help manufacturers keep pace and drive performance amid strong economic demand," said authors of one U.S. manufacturing industry research report developed by Deloitte. Predictive maintenance Automating the process of predicting problems during the manufacturing process is certain to reduce downtime and increase efficiencies on the shop floor. Sustainability Economically and environmentally sustainable business practices have become a business imperative as energy and materials costs rise, regulations tighten, and consumers and investors are keyed in on sustainable brands and business practices.

5.
21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat 2021 ; 410 LNNS:110-124, 2022.
Article in English | Scopus | ID: covidwho-1750552

ABSTRACT

The main goal of this paper is to identify and evaluate the basic factors, affecting the on-time performance of aircraft movement at Almaty Airport based on the statistical data from the flight delays report of Almaty International Airport for the period 2019–2020. Moreover, the effect of the Sars-CoV-2 (COVID-19) pandemic on the flight movement was analyzed. An analysis of the punctuality and regularity of the aircraft movement operating domestic and international scheduled, charter and cargo flights from Almaty Airport for the same period was presented. Special attention was devoted to the detailing and decoding of each delay reason which enabled the authors to determine several factors, that had provoked the occurrence of flight delays. Based on the analysis and with the aim to reduce the number of flight delays, some ideas were theorized to allow airlines and airport services to uncover their hidden reserves. This enables air operators to minimize losses associated with downtime, the damage to corporate reputation and financial losses paid against delay in accordance with The Montreal Convention and/or EU Regulation No. 261/2004. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

6.
J Digit Imaging ; 34(2): 290-296, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1092057

ABSTRACT

Disasters cause a major disruption to normal operations. Hospital information systems are often well-prepared for events such as fires or natural disasters. This type of disaster planning focuses on redundancy and manual workarounds. The SARS-CoV-2/COVID pandemic represented a new type of disaster for our radiology informatics team. In this pandemic, the information systems continued to work but the employees, and the computers that they worked with, had to be distanced. The purpose of this manuscript is to discuss the four phases of the disaster planning process: mitigation, planning, response, and recovery. We will illustrate the process with the example of how our radiology informatics team responded to the SARS-CoV-2/COVID pandemic.


Subject(s)
COVID-19 , Disaster Planning , Radiology , Humans , Informatics , SARS-CoV-2
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