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Alessandro Agnetis
Researcher at University of Siena
Publications - 89
Citations - 1964
Alessandro Agnetis is an academic researcher from University of Siena. The author has contributed to research in topics: Job shop scheduling & Flow shop scheduling. The author has an hindex of 25, co-authored 88 publications receiving 1847 citations. Previous affiliations of Alessandro Agnetis include Polytechnic University of Turin & Sapienza University of Rome.
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Load Scheduling for Household Energy Consumption Optimization
TL;DR: A MILP model and a heuristic algorithm accounting for a typical household user are devised, showing that the problem of optimally scheduling a set of appliances at the end-user premises can be efficiently solved in real-life instances.
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Multi-agent single machine scheduling
TL;DR: The scheduling problems arising when several agents, each owning a set of nonpreemptive jobs, compete to perform their respective jobs on one shared processing resource are considered.
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Supply chain scheduling: sequence coordination
TL;DR: This work describes efficient algorithms for all the supplier's and manufacturers' problems, as well as for a special case of the joint scheduling problem, and identifies conditions under which cooperation between the supplier and a manufacturer reduces their total cost.
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Scheduling no-wait robotic cells with two and three machines
TL;DR: This work shows that the problem to sequence the parts and, concurrently, schedule the robot moves in order to maximize productivity is solvable in time O( n log n ) by reducing it to the classical two-machines no-wait flow shop.
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A Lagrangian approach to single-machine scheduling problems with two competing agents
TL;DR: In this article, a branch-and-bound algorithm for hard two-agent scheduling problems is proposed, where each agent has an objective function which depends on the completion times of its jobs only.