Complexity management in manufacturing systems is crucial for the economic growth of countries, as efficient management can significantly improve business performance and ensure competitiveness in globalized markets. This research aims to develop a complexity management configurator that identifies critical effects, proposes solution strategies, and optimizes processes through a Lean Production and Industry 4.0 approach.
View Article and Find Full Text PDFThis article presents a simulation model of the effect of the COVID-19 Biosafety protocol in the Queues for the return to face-to-face classes as a basis for the return of educational activities. The restrictive measures to face the COVID-19 pandemic, greatly affected the normality of the development of activities carried out in higher education, constituting a great challenge since the measures and conditions of return and access to institutions are different from what was previously carried out before the pandemic. The objective of this article is to carry out a simulation of queues through SIMIO (Logistics process simulation software), where the number of students expected per day and the average entry times are taken into account to adjust them to an exponential distribution, from this information loaded into the simulation it is They will determine if the times increase or decrease taking into account the theory of queues and conditions presented in the study such as the probability distribution of the times of each of the processes involved in the process of accessing the University facilities.
View Article and Find Full Text PDFThe throughput of a finite-capacity queueing system is the mean number of clients served during a time interval. The COVID-19 outbreak has posed a serious challenge for many commercial establishments, including the retails, which have struggled to adapt to new working dynamics. Retails have been forced to adjust their service guidelines to comply with biosecurity protocols, ensuring to observe governmental and public health policies.
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