Universität zu Köln

Mindlina, Julia and Tempelmeier, Horst . Performance analysis and optimisation of stochastic flow lines with limited material supply. Int. J. Prod. Res.. ABINGDON: TAYLOR & FRANCIS LTD. ISSN 1366-588X

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Abstract

We consider stochastic flow lines with limited buffer sizes and limited material supply. In these systems, the configuration of the flow line parameters and the configuration of the material supply determine the system output. Shortages of material supply can limit the performance of the production system. We use flexible (mixed-integer) linear programming approaches to evaluate and optimise the performance of long stochastic flow lines with limited material supply in discrete and continuous time. The approaches are used to quantify the impact of material shortages on the system output. Further, they are applied to determine the minimum material levels that are required to prevent material shortages of a given flow line configuration. The results of the numerical study reveal insights on the approximation accuracy of the linear programs as well as on the dependence of optimal material levels on flow line characteristics such as the presence of bottleneck machines and the system variability. The contribution of this paper consists of both, integrated models for stochastic flow lines with limited material supply and new insights on the optimal material supply of stochastic flow lines.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Mindlina, Julia UNSPECIFIED UNSPECIFIED UNSPECIFIED Tempelmeier, Horst UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-563120
DOI:	10.1080/00207543.2021.1954712
Journal or Publication Title:	Int. J. Prod. Res.
Publisher:	TAYLOR & FRANCIS LTD
Place of Publication:	ABINGDON
ISSN:	1366-588X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ASSEMBLY-LINE; SYSTEMS; ALGORITHM Multiple languages Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/56312