A saúde dos editores de revistas científicas brasileiras de acesso aberto sem taxas: cenários para um insumo não contabilizado

[Summary from the Introduction] There are uncertain or insufficient resources allocated to editing scientific journals in open access without fees. An unaccounted resource that maintains the leading Brazilian journals in Information Science in open access and free of charge is the publishers' health stock. This research prospects scenarios of the functioning of these journals under different loads of article submission and their effects on the delivery of articles and on the editors' stress. The approach is the modeling and simulation of scenarios in systems dynamics

Cenários da dinâmica de hipercrescimento e colapso das revistas científicas brasileiras líderes na Ciência da Informação

Brazilian journals in Information Science typically depend on semivoluntary work, with scarce resources. The inclusion of some of these in reputable databases gives them status and attracts more and more submissions, without resource scalability. This article explores this context through a system dynamics model that represents stocks and flows of papers throughout the editorial process. We run 22 alternative scenarios, with different submissions, with or without interventions (interruption of submissions and sharp increase in desk rejections). Several of these scenarios indicate the journal’s imminent risk of collapsing, regardless of interventions that alleviate the burden only momentarily. Few overburdened editors sustain the system’s continuity

Cenários da dinâmica de hipercrescimento e colapso das revistas científicas brasileiras líderes na Ciência da Informação

Brazilian journals in Information Science typically depend on semivoluntary work, with scarce resources. The inclusion of some of these in reputable databases gives them status and attracts more and more submissions, without resource scalability. This article explores this context through a system dynamics model that represents stocks and flows of papers throughout the editorial process. We run 22 alternative scenarios, with different submissions, with or without interventions (interruption of submissions and sharp increase in desk rejections). Several of these scenarios indicate the journal’s imminent risk of collapsing, regardless of interventions that alleviate the burden only momentarily. Few overburdened editors sustain the system’s continuity

Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

Technological developments along with the emergence of Industry 4.0 allow for new approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP). In this sense, embedding Multi-Agent Systems (MAS) into Cyber-Physical Systems (CPS) is a highly promising approach to handle complex and dynamic JSPs. This paper proposes a data exchange framework in order to deal with the JSP considering the state-of-the-art technology regarding MAS, CPS and industrial standards. The proposed framework has self-configuring features to deal with disturbances in the production line. This is possible through the development of an intelligent system based on the use of agents and the Internet of Things (IoT) to achieve real-time data exchange and decision making in the job-shop. The performance of the proposed framework is tested in a simulation study based on a real industrial case. The results substantiate gains in flexibility, scalability and efficiency through the data exchange between factory layers. Finally, the paper presents insights regarding industrial applications in the Industry 4.0 era in general and in particular with regard to the framework implementation in the analyzed industrial case