Robust optimization in production engineering – methods and application

Methods that use robust optimization are aimed at finding robustness to decision uncertainty. Uncertainty may affect the input parameters (problem) and the final solution. Robust optimization is applicable in many areas, such as: operational research, IT, energy, production engineering and others. T...

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Main Authors:	Knapczyk Adrian, Francik Sławomir, Jewiarz Marcin, Mudryk Krzysztof, Wróbel Marek
Format:	Article
Language:	English
Published:	EDP Sciences 2019-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01007.pdf

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spelling	doaj-3584ff8ceabc4090b5e7bf77bc0f96302021-04-02T15:36:29ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011320100710.1051/e3sconf/201913201007e3sconf_polsita2019_01007Robust optimization in production engineering – methods and applicationKnapczyk Adrian0Francik Sławomir1Jewiarz Marcin2Mudryk Krzysztof3Wróbel Marek4University of Agriculture in Krakow, Faculty of Production and Power Engineering, Department of Mechanical Engineering and AgrophysicsUniversity of Agriculture in Krakow, Faculty of Production and Power Engineering, Department of Mechanical Engineering and AgrophysicsUniversity of Agriculture in Krakow, Faculty of Production and Power Engineering, Department of Mechanical Engineering and AgrophysicsUniversity of Agriculture in Krakow, Faculty of Production and Power Engineering, Department of Mechanical Engineering and AgrophysicsUniversity of Agriculture in Krakow, Faculty of Production and Power Engineering, Department of Mechanical Engineering and AgrophysicsMethods that use robust optimization are aimed at finding robustness to decision uncertainty. Uncertainty may affect the input parameters (problem) and the final solution. Robust optimization is applicable in many areas, such as: operational research, IT, energy, production engineering and others. The aim of the work was to indicate the main methods and examples of applications of robust optimization in the area of production engineering. Documents (articles and proceedings paper) indexed in the Web of Science - Core Collection database (WoSCC) from 2014-2018 were used for analysis. The search has been limited to the WoS-CC category: Engineering Industrial and Engineering Manufacturing. The main areas of application were: the scheduling of projects and tasks, production planning, and risk management. The most common methods were: linear programming, evolutionary algorithms, mixed integer programming, dynamic programming and many others.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01007.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Knapczyk Adrian Francik Sławomir Jewiarz Marcin Mudryk Krzysztof Wróbel Marek
spellingShingle	Knapczyk Adrian Francik Sławomir Jewiarz Marcin Mudryk Krzysztof Wróbel Marek Robust optimization in production engineering – methods and application E3S Web of Conferences
author_facet	Knapczyk Adrian Francik Sławomir Jewiarz Marcin Mudryk Krzysztof Wróbel Marek
author_sort	Knapczyk Adrian
title	Robust optimization in production engineering – methods and application
title_short	Robust optimization in production engineering – methods and application
title_full	Robust optimization in production engineering – methods and application
title_fullStr	Robust optimization in production engineering – methods and application
title_full_unstemmed	Robust optimization in production engineering – methods and application
title_sort	robust optimization in production engineering – methods and application
publisher	EDP Sciences
series	E3S Web of Conferences
issn	2267-1242
publishDate	2019-01-01
description	Methods that use robust optimization are aimed at finding robustness to decision uncertainty. Uncertainty may affect the input parameters (problem) and the final solution. Robust optimization is applicable in many areas, such as: operational research, IT, energy, production engineering and others. The aim of the work was to indicate the main methods and examples of applications of robust optimization in the area of production engineering. Documents (articles and proceedings paper) indexed in the Web of Science - Core Collection database (WoSCC) from 2014-2018 were used for analysis. The search has been limited to the WoS-CC category: Engineering Industrial and Engineering Manufacturing. The main areas of application were: the scheduling of projects and tasks, production planning, and risk management. The most common methods were: linear programming, evolutionary algorithms, mixed integer programming, dynamic programming and many others.
url	https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01007.pdf
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Robust optimization in production engineering – methods and application

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