3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances

Abstract This paper presents a new method to describe, analyse and estimate production system performances. We introduce a new spline based surrogate model as a simplification of a simulation model over a stochastic Kanban controlled production line. Companies need to know about the relation between...

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Published in:International Journal of Production Research
Language:English
Published: Taylor & Francis 2011
Subjects:
Online Access:http://hdl.handle.net/2262/57449
https://doi.org/10.1080/00207540903234769
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spelling fttrinitycoll:oai:tara.tcd.ie:2262/57449 2023-05-15T17:14:06+02:00 3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances 2011-07-06T00:54:56Z http://hdl.handle.net/2262/57449 https://doi.org/10.1080/00207540903234769 en eng Taylor & Francis 0020-7543 (pISSN) 1366-588X (eISSN) 00207543 (ISSN) TPRS (PII) TPRS-2009-IJPR-0211.R1 (manuscript) TPRS-2009-IJPR-0211.R1 (publisherID) http://hdl.handle.net/2262/57449 International Journal of Production Research 48 17 4937 4948 doi:10.1080/00207540903234769 TPRS (abbrev) 12 months Physical Sciences 2011 fttrinitycoll https://doi.org/10.1080/00207540903234769 2020-02-16T13:52:27Z Abstract This paper presents a new method to describe, analyse and estimate production system performances. We introduce a new spline based surrogate model as a simplification of a simulation model over a stochastic Kanban controlled production line. Companies need to know about the relation between system parameters and system performances, especially work-in-process (WIP), lead time and throughput, in the existing system and in systems not yet implemented. Complex systems require simulation for analysis, but a particular simulation often presents limited information; this means that it is often necessary to simulate several alternatives to ensure that the best one is chosen. If the alternatives are many, this demands a lot of simulation time and resources. We suggest a surrogate model where the results of simulation results for different system performances are presented as points in a three dimensional environment. Parametric curves and surfaces of Bezier type are generated and adapted to these performance points. System performances of other alternatives than those simulated can be estimated from these parametric curves and surfaces. The number of simulation calculations can thereby be moderate but the analysis can still cover performance relations not explicitly simulated. The method is illustrated with a small production line system. anders.segerstedt@ltu.se (Segerstedt, Anders) janarpe@hin.no (Pettersen, Jan-Arne) bb@hin.no (Bang, Borre) Lulea University of Technology, Department of Industrial Logistics - SE-971 87 Lulea--> - SE-97187 - Lule - SWEDEN (Segerstedt, Anders) SWEDEN (Segerstedt, Anders) Narvik University College - Narvik - NORWAY (Pettersen, Jan-Arne) Narvik University Collage - Narvik - NORWAY (Bang, Borre) NORWAY SWEDEN Other/Unknown Material Narvik Narvik University College The University of Dublin, Trinity College: TARA (Trinity's Access to Research Archive) Norway Narvik ENVELOPE(17.427,17.427,68.438,68.438) Lulea ENVELOPE(22.166,22.166,65.580,65.580) International Journal of Production Research 48 17 4937 4948
institution Open Polar
collection The University of Dublin, Trinity College: TARA (Trinity's Access to Research Archive)
op_collection_id fttrinitycoll
language English
topic Physical Sciences
spellingShingle Physical Sciences
3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances
topic_facet Physical Sciences
description Abstract This paper presents a new method to describe, analyse and estimate production system performances. We introduce a new spline based surrogate model as a simplification of a simulation model over a stochastic Kanban controlled production line. Companies need to know about the relation between system parameters and system performances, especially work-in-process (WIP), lead time and throughput, in the existing system and in systems not yet implemented. Complex systems require simulation for analysis, but a particular simulation often presents limited information; this means that it is often necessary to simulate several alternatives to ensure that the best one is chosen. If the alternatives are many, this demands a lot of simulation time and resources. We suggest a surrogate model where the results of simulation results for different system performances are presented as points in a three dimensional environment. Parametric curves and surfaces of Bezier type are generated and adapted to these performance points. System performances of other alternatives than those simulated can be estimated from these parametric curves and surfaces. The number of simulation calculations can thereby be moderate but the analysis can still cover performance relations not explicitly simulated. The method is illustrated with a small production line system. anders.segerstedt@ltu.se (Segerstedt, Anders) janarpe@hin.no (Pettersen, Jan-Arne) bb@hin.no (Bang, Borre) Lulea University of Technology, Department of Industrial Logistics - SE-971 87 Lulea--> - SE-97187 - Lule - SWEDEN (Segerstedt, Anders) SWEDEN (Segerstedt, Anders) Narvik University College - Narvik - NORWAY (Pettersen, Jan-Arne) Narvik University Collage - Narvik - NORWAY (Bang, Borre) NORWAY SWEDEN
title 3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances
title_short 3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances
title_full 3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances
title_fullStr 3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances
title_full_unstemmed 3D Performance Surfaces- A Tool for Analysing and Estimation of Production System Performances
title_sort 3d performance surfaces- a tool for analysing and estimation of production system performances
publisher Taylor & Francis
publishDate 2011
url http://hdl.handle.net/2262/57449
https://doi.org/10.1080/00207540903234769
long_lat ENVELOPE(17.427,17.427,68.438,68.438)
ENVELOPE(22.166,22.166,65.580,65.580)
geographic Norway
Narvik
Lulea
geographic_facet Norway
Narvik
Lulea
genre Narvik
Narvik University College
genre_facet Narvik
Narvik University College
op_relation 0020-7543 (pISSN)
1366-588X (eISSN)
00207543 (ISSN)
TPRS (PII)
TPRS-2009-IJPR-0211.R1 (manuscript)
TPRS-2009-IJPR-0211.R1 (publisherID)
http://hdl.handle.net/2262/57449
International Journal of Production Research
48
17
4937
4948
doi:10.1080/00207540903234769
TPRS (abbrev)
op_rights 12 months
op_doi https://doi.org/10.1080/00207540903234769
container_title International Journal of Production Research
container_volume 48
container_issue 17
container_start_page 4937
op_container_end_page 4948
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