TU Darmstadt / ULB / TUprints

Utility-based configuration of learning factories using a multidimensional, multiple-choice knapsack problem

Tisch, Michael ; Laudemann, Heiko ; Kreß, Antonio ; Metternich, Joachim (2020)
Utility-based configuration of learning factories using a multidimensional, multiple-choice knapsack problem.
In: Procedia Manufacturing, 2017, 9
doi: 10.25534/tuprints-00014287
Article, Secondary publication, Publisher's Version

[img]
Preview
Text
1-s2.0-S235197891730135X-main.pdf
Copyright Information: CC BY-NC-ND 4.0 International - Creative Commons, Attribution NonCommercial, NoDerivs.

Download (600kB) | Preview
Item Type: Article
Type of entry: Secondary publication
Title: Utility-based configuration of learning factories using a multidimensional, multiple-choice knapsack problem
Language: English
Date: 30 November 2020
Place of Publication: Darmstadt
Year of primary publication: 2017
Journal or Publication Title: Procedia Manufacturing
Volume of the journal: 9
DOI: 10.25534/tuprints-00014287
Corresponding Links:
Origin: Secondary publication service
Abstract:

The paper presents a structural approach to configure the technical system of a learning factory by considering learning targets and maximizing the utility. Local scope conditions and intended competencies are used to operationalize requirements. The composition of the module-based technical system can be optimized by maximizing its overall utility. Therefore, an exact and efficient optimization algorithm is developed solving a multidimensional multiple-choice knapsack problem combined with a two-dimensional bin packing problem. Restrictions are the available budget and the useable area of the learning factory. As a result, the configured technical system enables optimal target orientation of the learning factory. This procedure is finally applied on the Process Learning Factory CiP.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-142879
Additional Information:

7th Conference on Learning Factories, CLF 2017

Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > CiP Center for industrial Productivity
Date Deposited: 30 Nov 2020 14:45
Last Modified: 20 Oct 2023 06:50
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/14287
PPN:
Export:
Actions (login required)
View Item View Item