Vol. 1 No. 2 (2022): Production and operation management: social problem solving (July-December Issue)
The current EASI collection brings contributions applying concepts of industrial processes management to provide solutions for society’s demands; ranging from modeling and simulation of administration and management processes to the focused actions for driving power business to guarantee the quality of services to communities, based on supply chain sustainability.
The research conducted by Guerrero, B., Pizarro, L., & Duarte, V. (2022) applied digital innovation to streamline administrative procedures in the basic healthcare network of Chile. The idea deals with the implementation of learning algorithms for ordering data to enhance medical appointment assignments. Another interesting application came from Fernández, J., Alfonso, A. & Ramos, R. (2022), who proposed an adaptive model for demand forecasting; the equations include trend and seasonality parameters. Subsequently, Pilacuán,L., Salmón, B. & Gallegos, D. (2022) presented a macro predictive model to evaluate the infectious disease control policies in countries of South America, based on indicators describing the infection evolution.
Hidalgo-Crespo, J., Bautista-Espinosa, H. & Oviedo, J. (2022) revised the plan to enhance the business system of the electric power company to provide service, and preventive and corrective actions to finally meet the needs of most isolated communities in Peru, from the viability, sustainability, and scalability perspective. Similarly, Rosabal-Palma, B. & Medel-González, F. (2022) gathered data and techniques to improve the quality and time management of the model printing process in Graphic Arts companies in Cuba, based on advanced analytics to improve performance and outcomes.
