Production Planning and Control

Mitec, UniKL

doi:10.1016/c2018-0-03856-6

Cited by 4 publications

(1 citation statement)

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“…Discrete event simulation (DES) refers to the process in which the behavior of a complex system is codified into sequential order of events. Each event occurs at a particular instant in time and marks a change of state in the system (Kiran, 2019). The application of DES has been used widely in health care sector, along with other modelling such as system dynamic (Brailsford & Hilton, 2001) and agent based simulation (Chumachenko & Chumachenko, 2019).…”

Section: Methodsmentioning

confidence: 99%

Modeling Social, Health, and Vaccines Intervention in Time of Covid-19 Pandemic Impacted in Jakarta - Indonesia

Setiawan

Susanto

Adjie

et al. 2021

UJPH

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Since the first outbreak of SARS-CoV-2 worldwide, research on modeling and simulation has grown, particularly to estimate the peak and end time of the pandemic which has been exceeded in some cases. This study aims to model the current virus spread with discrete event simulation, using the case of Jakarta. About 2 million of Jakarta's susceptible population was used for the the model's input which ran for a year. The data was obtained from past records and were divided into three main timelines (i.e. initial stage, large scale restriction and new normal) in order to validate the model with real cases step by step. Scenario analysis was then performed by evaluating five possible interventions such as: existing scenarios, social and health intervention, mass vaccination and hybrid intervention. The results show that the model represents real cases with a variation of less than 5% during the timeline. Furthermore, scenario analysis showed that mass vaccination, hybrid and social intervention provide the least positive cases in the system. This study recommends that hybrid intervention should be used while the vaccine is being mass produced, and the implementation of social intervention should be highlighted.

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Section: Methodsmentioning

confidence: 99%

Modeling Social, Health, and Vaccines Intervention in Time of Covid-19 Pandemic Impacted in Jakarta - Indonesia

Setiawan

Susanto

Adjie

et al. 2021

UJPH

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A Production Management-Based Lean Manufacturing Model for Removing Waste and Increasing Productivity in the Sewing Area of a Small Textile Company

Zamora-Gonzales

Galvez-Bazalar

Quiroz-Flores

2021

Proceedings of the 6th Brazilian Technology Symposium (BTSym’20)

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Development of a method for estimating the carbon footprint when transporting grain by road

Matsiuk,

Yanovska,

Matviienko

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The article presents the results of a study of the process of transporting grain from the territory of Ukraine in global supply chains. In order to study the negative impact of the transport sector, a simulation model of the existing logistics system was developed, namely, using only road transport. The model was developed using Java SE technology based on the agent-based and discrete-event principles. As a result of a series of experiments based on the grain supply chain through the Mykolaiv commercial port, it was found that the actual CO2 emission rates per unit of transport work are 12.8 kg per tonne and 32.9 kg per 1000 tonne-km.

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Production Planning and Control

Cited by 4 publications

References 0 publications

Modeling Social, Health, and Vaccines Intervention in Time of Covid-19 Pandemic Impacted in Jakarta - Indonesia

Modeling Social, Health, and Vaccines Intervention in Time of Covid-19 Pandemic Impacted in Jakarta - Indonesia

A Production Management-Based Lean Manufacturing Model for Removing Waste and Increasing Productivity in the Sewing Area of a Small Textile Company

Development of a method for estimating the carbon footprint when transporting grain by road

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