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Daniel Alejandro Rossit

Researcher at Universidad Nacional del Sur

Publications -  53
Citations -  786

Daniel Alejandro Rossit is an academic researcher from Universidad Nacional del Sur. The author has contributed to research in topics: Computer science & Flow shop scheduling. The author has an hindex of 11, co-authored 40 publications receiving 425 citations. Previous affiliations of Daniel Alejandro Rossit include National Scientific and Technical Research Council.

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Industry 4.0: Smart Scheduling

TL;DR: A new decision-making schema, Smart Scheduling, is introduced, intended to yield flexible and efficient production schedules on the fly, taking advantage of the features of these new environments of smart manufacturing and Industry 4.0.
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The Non-Permutation Flow-Shop scheduling problem: A literature review

TL;DR: This review is a contribution towards the rationalization of the developments in the field, organizing them in terms of the objective functions in the different variants of the problem.
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Production planning and scheduling in Cyber-Physical Production Systems: a review

TL;DR: It is suggested that the real-time availability of information will have a significant impact in this area and that scheduling will be solved in the future in decentralised decision processes.
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A data-driven scheduling approach to smart manufacturing

TL;DR: A data-driven architecture for scheduling, in which the system has real time access to data and decisions can be made ahead of time, on the basis of more information, based on the architecture of cyber-physical systems.
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Scheduling research contributions to Smart manufacturing

TL;DR: This work examines the advances in the scheduling literature and analyzes which aspects should be taken into account in future designs, focusing on topics as dynamic scheduling, distributed scheduling and inverse scheduling.