0000000000327583
AUTHOR
Carpitella Silvia
Designing supplier selection strategies under COVID-19 constraints for industrial environments
COVID-19 has been impacting worldwide supply chains causing interruption, closure of production and distribution. This impact has been drastic on the supplier side and, as a consequence of disruptions, strong reductions of production have been estimated. Such a circumstance forces companies to propose innovative best practices of supply chain risk management aimed at facing vulnerability generated by COVID-19 and pursuing industrial improvements in manufacturing and production environments. As a part of supply chain strategy, supplier selection criteria should be revised to include pandemic-related risks. This article aims to propose an answer to such a problem. In detail, a comprehensive t…
Sampling of pairwise comparisons in decision-making
Various decision-making techniques rely on pairwise comparisons (PCs) between the involved elements. Traditionally, PCs are provided by experts or relevant actors, and compiled into pairwise comparison matrices (PCMs). In highly complex problems, the number of elements to be compared may be very large. One of the issues limiting PC applicability to large-scale decision problems is the so-called curse of dimensionality, that is, many PCs need to be elicited from an actor, or built from a body of information. In general, when applied to a set of n elements to be compared, the number of PCs that have to be made is n(n−1)/2. When the information in the comparison matrix is complete, the priorit…
The ELECTRE I method to support the FMECA
Abstract In traditional Failure Modes, Effects and Criticality Analysis (FMECA), risk priorities of failure modes are determined through the Risk Priority Number (RPN), which is a function of the three risk parameters Occurrence (O), Severity (S), and Detection (D). In the present paper, an alternative approach to RPN is proposed for the criticality assessment of system failure modes. Particularly, the Multi-Criteria Decision Making (MCDM) method ELECTRE I is proposed to select the most critical failure mode in the set of the failure modes charactering a complex system. The method has been applied to a case study previously proposed by Zammori and Gabrielli (2012).
Ajuste y calibración, con la llegada de nuevos datos, de un modelo epidemiológico simple
Los denominados sistemas dinámicos están presentes en cualquier ámbito evolutivo. Modelos matemáticos adecuados (físicos, sociales, económicos, biológicos, etc.) constituyen un laboratorio `in vitro' de tales sistemas, que permiten su estudio, simulación y conocimiento. Tales modelos dependen de determinados parámetros que caracterizan el modelo. Partiendo de condiciones iniciales dadas, permiten estimar la evolución del sistema y facilitan así la toma de decisiones. Para que la precisión de un modelo sea aceptable, los resultados que produce son comparados con datos provenientes de una monitorización adecuada, tan en tiempo real como sea posible, del sistema. Con los datos monitorizados, e…