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Sonntags 20:15 Uhr – »Tatort«: Zu sozialen Positionierungen eines Fernsehpublikums

ISBNs: 9783863952662 (impreso)

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Institución detectada	Año de publicación	Navegá	Descargá	Solicitá
No requiere	2016	Directory of Open access Books

Cobertura temática: Ciencias sociales - Sociología - Geografía social y económica

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Soporte computacional para la gestión de eventos disruptivos en la cadena de suministro

Autores/as: Lorena Andrea Bearzotti ; Andrea Bearzotti Lorena ; Omar Chiotti ; Beatriz Brignole ; Carlos Méndez ; Oscar Iribarren ; Pablo Miranda

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Institución detectada	Año de publicación	Navegá	Descargá	Solicitá
No requiere	2013	Biblioteca Virtual de la Universidad Nacional del Litoral (SNRD)

Cobertura temática: Ingeniería civil - Geografía social y económica

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The occurrence of disruptive events affecting the normal performance of a plan o schedule is a well known problem for the planning activity. For this reason plans and schedules are created including slacks to deal with deviations that are generated. However, the problem arises because in the Execution Systems, where disruptive events are detected, there is a lack of appropriate functionality for using the slacks to mitigate the impact of such events In recent years there has been a growing interest in how to manage these disruptive events, in order to minimize its impact, emerging concepts such as event monitoring, risk management and event management in the supply chain. The objective of this thesis is to develop an architecture for the autonomous management of supply chain disruptive events, where the self-control actions are based on the assumption that an appropriate use of the slacks defined in the schedules will reduce the gap between Planning Systems and Execution Systems. The following results were obtained: a novel way of decomposing problem which preserves the autonomy of the distributed components; a conceptual model and a multi-agent model for supply chain disruptive event management; and an experimental prototype, applied to a case study, proofing the concept of using slacks to distribute the negative implications of a disruptive event among the participants. The proposal of the thesis introduces a new way to model the problem by allowing the automation of the process of identifying an exception, search for a solution and implementing it.

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