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OPTE special issue on technical operations research (TOR)

Fügenschuh, Armin ; Lorenz, Ulf ; Pelz, Peter F. (2024)
OPTE special issue on technical operations research (TOR).
In: Optimization and Engineering, 2021, 22 (2)
doi: 10.26083/tuprints-00023487
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: OPTE special issue on technical operations research (TOR)
Language: English
Date: 30 April 2024
Place of Publication: Darmstadt
Year of primary publication: 2021
Place of primary publication: Dordrecht
Publisher: Springer Science
Journal or Publication Title: Optimization and Engineering
Volume of the journal: 22
Issue Number: 2
DOI: 10.26083/tuprints-00023487
Corresponding Links:
Origin: Secondary publication DeepGreen

echnical Operations Research is a bridging discipline that combines elements from engineering sciences (e.g., mechanical, electrical, civil, material sciences), computer science, mathematics and business economics. The aim of the presented special issue is to foster exact optimization in the engineering sciences. A role model is the classic Operations Research which has successfully brought discrete mathematics, combinatorial optimization and other formal disciplines to business engineering and management science. Therefore, we present a variety of contributions that focus on all stages of an engineering design process to derive sustainable systems designs that follow the statement, cf. (Pelz et al. 2021, Section 1.6):

“Maximize quality, subject to functionality!”

Uncontrolled Keywords: Optimization, Engineering, general, Systems Theory, Control, Environmental Management, Operations Research/Decision Theory, Financial Engineering
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-234872
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006)
Date Deposited: 30 Apr 2024 12:52
Last Modified: 30 Apr 2024 12:52
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23487
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