Alessandro Agnetis – författare
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3 produkter
3 produkter
Del 17 - SxI - Springer for Innovation / SxI - Springer per l'Innovazione
Lean Healthcare Management: idee per una sanità più efficiente
L’esperienza e i progetti del Master LHCM dell’Università di Siena, 2014-2024
Häftad, Italienska, 2025
482 kr
Skickas inom 10-15 vardagar
Basato sull’esperienza decennale e sui progetti del Master di II livello in Lean Healthcare Management dell’Università di Siena (2014–2024), il volume combina intuizioni pratiche e rigore accademico, colmando il divario tra i modelli teorici e le applicazioni reali.
1 105 kr
Skickas inom 10-15 vardagar
Scheduling theory has received a growing interest since its origins in the second half of the 20th century. Developed initially for the study of scheduling problems with a single objective, the theory has been recently extended to problems involving multiple criteria. However, this extension has still left a gap between the classical multi-criteria approaches and some real-life problems in which not all jobs contribute to the evaluation of each criterion.In this book, we close this gap by presenting and developing multi-agent scheduling models in which subsets of jobs sharing the same resources are evaluated by different criteria. Several scenarios are introduced, depending on the definition and the intersection structure of the job subsets. Complexity results, approximation schemes, heuristics and exact algorithms are discussed for single-machine and parallel-machine scheduling environments. Definitions and algorithms are illustrated with the help of examples and figures.
1 105 kr
Skickas inom 10-15 vardagar
Scheduling theory has received a growing interest since its origins in the second half of the 20th century. Developed initially for the study of scheduling problems with a single objective, the theory has been recently extended to problems involving multiple criteria. However, this extension has still left a gap between the classical multi-criteria approaches and some real-life problems in which not all jobs contribute to the evaluation of each criterion.In this book, we close this gap by presenting and developing multi-agent scheduling models in which subsets of jobs sharing the same resources are evaluated by different criteria. Several scenarios are introduced, depending on the definition and the intersection structure of the job subsets. Complexity results, approximation schemes, heuristics and exact algorithms are discussed for single-machine and parallel-machine scheduling environments. Definitions and algorithms are illustrated with the help of examples and figures.