Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7024
Main Title: Multi-objective shop floor scheduling using monitored energy data
Author(s): Stock, Tim
Seliger, Günther
Type: Article
Language Code: en
Abstract: Modern factories will become more and more directly connected to intermittent energy sources like solar systems or wind turbines as part of a smart grid or a self-sufficient supply. However, solar systems or wind turbines are not able to provide a continuous energy supply over a certain time period. In order to enable an effective use of these intermittent energy sources without using temporary energy storages, it is necessary to rapidly and flexibly adapt the energy demand of the factory to the constantly changing requirements of the energy supply. The adaption of the energy demand to the intermittent supply results in different energy-related objectives for the production system of the factory, such as reducing energy consumption, avoiding power peaks, or achieving a power use within the available power supply. Shop Floor Scheduling can help to pursue these objectives within the production system. For this purpose, a solution methodology based on a meta-heuristic will be described for Flexible Job Shop Scheduling taking into account different energy- as well as productivity-related objectives.
URI: https://depositonce.tu-berlin.de//handle/11303/7864
http://dx.doi.org/10.14279/depositonce-7024
Issue Date: 2015
Date Available: 28-May-2018
DDC Class: 650 Management, Öffentlichkeitsarbeit
620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): energy efficiency
production planning and control
job shop scheduling
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Procedia CIRP
Publisher: Elsevier
Publisher Place: Amsterdam
Volume: 26
Publisher DOI: 10.1016/j.procir.2014.07.178
Page Start: 510
Page End: 515
ISSN: 2212-8271
Appears in Collections:FG Montagetechnik und Fabrikbetrieb » Publications

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