Sergio Cavalieri
University of Bergamo
150 Papers
854 Citations
Sergio Cavalieri is an academic researcher from University of Bergamo. The author has contributed to research in topics: Service (business) & Computer science. The author has an hindex of 22, co-authored 142 publications. Previous affiliations of Sergio Cavalieri include Polytechnic University of Milan.
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Papers
Simulation in the supply chain context: a survey
Sergio Terzi,Sergio Cavalieri +1 more
TL;DR: The paper provides a comprehensive review made on more than 80 articles, with the main purpose of ascertaining which general objectives simulation is generally called to solve, which paradigms and simulation tools are more suitable, and deriving useful prescriptions on its applicability in decision-making processes within the supply chain context.
498
Product-Service Systems Engineering: State of the art and research challenges
TL;DR: The purpose of this paper is to provide a holistic conceptualisation and an up-to-date review of the literature on Service Engineering with a specific focus on its adoption in the PSS context.
425
Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry
TL;DR: Compared results for the estimation of the unitary manufacturing costs of a new type of brake disks produced by an Italian manufacturing firm seem to confirm the validity of the neural network theory in this application field, but not a clear superiority with respect to the more “traditional” parametric approach.
241
A human-in-the-loop manufacturing control architecture for the next generation of production systems
TL;DR: An architecture to depict social interactions in smart factories is proposed and contributes to the representation of different human roles in the smart factory and the exploration of both hierarchical and heterarchical data-driven decision-making processes in manufacturing.
212
Multi-agent systems in production planning and control: an overview
Maria Caridi,Sergio Cavalieri +1 more
TL;DR: A large amount of research works on the adoption of multi-agent systems (MAS) in several industrial environments has flourished as discussed by the authors, which assumes the presence of several decision-making entities, distributed inside the manufacturing system, interacting and cooperating each other.
195