Modelling insourcing and outsourcing services for manufacturing operations

Bucki, Robert; Suchánek, Petr; Jašek, Roman

dc.title	Modelling insourcing and outsourcing services for manufacturing operations	en
dc.contributor.author	Bucki, Robert
dc.contributor.author	Suchánek, Petr
dc.contributor.author	Jašek, Roman
dc.relation.ispartof	2nd International Conference on Decision Making for Small and Medium-Sized Enterprises (DEMSME 2019)
dc.date.issued	2019
dc.citation.spage	52
dc.citation.epage	60
dc.event.title	2nd International conference on Decision making for Small and Medium-Sized Enterprises (DEMSME)
dc.event.location	Petrovice u Karviné
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2019-05-16
dc.event.edate	2019-05-17
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Silesian Univ Opava, School Business Administration Karvina
dc.relation.uri	http://demsme.cms.opf.slu.cz/conference-proceedings
dc.relation.uri	http://demsme.cms.opf.slu.cz/images/DEMSME_2019_Proceedings.pdf
dc.subject	manufacturing operations	en
dc.subject	mathematical model	en
dc.subject	pseudocode	en
dc.subject	sample algorithms	en
dc.subject	simulation	en
dc.description.abstract	The paper highlights the issue of searching for the minimal cost of operating a manufacturing company, taking into account that the insourcing and outsourcing teams are able to carry out identical manufacturing operations. As the teams' operating costs vary it is necessary to determine a sequence for employing either insourcing or outsourcing teams so that the total manufacturing costs tend to be minimised. The mathematical model of the system as well as equations of state and sample algorithms responsible for choosing the proper teams are presented. The pseudocode illustrates the way in which the team selection simulator is created.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1009641
utb.identifier.obdid	43881218
utb.identifier.wok	000519107000007
utb.source	B-wok
dc.date.accessioned	2020-04-03T15:08:56Z
dc.date.available	2020-04-03T15:08:56Z
dc.description.sponsorship	Silesian University in Opava, School of Business Administration in Karvina [SGS/8/2018]
utb.ou	Department of Informatics and Artificial Intelligence
utb.contributor.internalauthor	Jašek, Roman
utb.fulltext.affiliation	Robert Bucki, Petr Suchánek, Roman Jašek Silesian University in Opava School of Business Administration in Karvina, Department of Informatics and Mathematics Univerzitní náměstí 1934/3 Karvina, 73340 Czech Republic e-mail: bucki@opf.slu.cz Silesian University in Opava School of Business Administration in Karvina, Department of Informatics and Mathematics Univerzitní náměstí 1934/3 Karvina, 73340 Czech Republic e-mail: suchanek@opf.slu.cz Tomas Bata University in Zlín Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence Nad Stráněmi 4511 Zlín, 76005 Czech Republic e-mail: jasek@utb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This paper was supported by the project SGS/8/2018 – “Advanced Methods and Procedures of Business Processes Improvement” at the Silesian University in Opava, School of Business Administration in Karvina.
utb.wos.affiliation	[Bucki, Robert; Suchanek, Petr] Silesian Univ Opava, Sch Business Adm Karvina, Dept Informat & Math, Univ Namesti 1934-3, Karvina 73340, Czech Republic; [Jasek, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Informat & Artificial Intelligence, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.fulltext.projects	SGS/8/2018
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.ou	Department of Informatics and Artificial Intelligence