Title data
Kübler, Frank ; Hamacher, Moritz ; Steinhilper, Rolf ; Golinska, Paulina:
Resource Efficiency and Productivity Optimization of Manufacturing Equipment.
In: Fernandez, Jeffrey E.
(ed.):
2nd Annual World Conference of the Society for Industrial and Systems Engineering (SISE 2013). -
Red Hook, NY
: Curran Associates, Inc.
,
2016
. - pp. 392-397
ISBN 978-1-5108-2006-7
Abstract in another language
Manufacturing companies are facing the task to adapt their existing manufacturing equipment to new challenges. In addition to the traditional objective of increasing equipment productivity, a new focus is the improvement of the resource efficiency situation. This refers to the strongly increasing energy costs. To identify target-oriented optimization measures, manufacturing companies often lack fundamental and objective assessments of the actual situation of their equipment to reveal production and resource efficiency related optimization potentials. This contribution presents a procedure for real data based assessment of manufacturing equipment. Based upon the resulting information of the procedure, productivity ratios and resource consumptions can be determined up to individual equipment components. This creates the required transparency to derive customized production and resource efficiency optimization measures.
Further data
Item Type: | Article in a book |
---|---|
Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology Faculties > Faculty of Engineering Science > Former Professors > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Rolf Steinhilper Research Institutions > Affiliated Institutes > Fraunhofer-Projectgroup Processinnovation Faculties Faculties > Faculty of Engineering Science Research Institutions Research Institutions > Affiliated Institutes Faculties > Faculty of Engineering Science > Former Professors |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 30 Sep 2016 10:13 |
Last Modified: | 30 Sep 2016 10:13 |
URI: | https://eref.uni-bayreuth.de/id/eprint/31272 |