Car sequencing versus mixed-model sequencing : a computational study

Publication type:
Journal article
Metadata:
Autoren
Sammlungen
  • metadata
ISSN
0377-2217
Ausgabe der Veröffentlichung
1
Zeitschrift
European journal of operational research
Schlüsselwörter
  • 330 Wirtschaft
  • 330 Economics
Sprache
eng
Paginierung
Seiten: 50 - 61
Datum der Veröffentlichung
2014
Herausgeber
Elsevier
Herausgeber URL
http://dx.doi.org/10.1016/j.ejor.2014.01.012
Datum der Datenerfassung
2020
Datum, an dem der Datensatz öffentlich gemacht wurde
2020
Zugang
Public
Titel
Car sequencing versus mixed-model sequencing : a computational study
Ausgabe der Zeitschrift
237

Data source: METADATA.UB

Other metadata sources:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000335626200004&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1016/j.ejor.2014.01.012
eISSN
1872-6860
Externe Identifier
  • Clarivate Analytics Document Solution ID: AG7VF
ISSN
0377-2217
Ausgabe der Veröffentlichung
1
Zeitschrift
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Schlüsselwörter
  • Scheduling
  • Mixed-model assembly line
  • Car sequencing
  • Mixed-model sequencing
Paginierung
50 - 61
Datum der Veröffentlichung
2014
Status
Published
Titel
Car sequencing versus mixed-model sequencing: A computational study
Sub types
  • Article
Ausgabe der Zeitschrift
237

Data source: Web of Science (Lite)

Autoren
DOI
10.1016/j.ejor.2014.01.012
ISSN
0377-2217
Ausgabe der Veröffentlichung
1
Zeitschrift
European Journal of Operational Research
Sprache
en
Paginierung
50 - 61
Datum der Veröffentlichung
2014
Status
Published
Herausgeber
Elsevier BV
Herausgeber URL
http://dx.doi.org/10.1016/j.ejor.2014.01.012
Datum der Datenerfassung
2018
Titel
Car sequencing versus mixed-model sequencing: A computational study
Ausgabe der Zeitschrift
237

Data source: Crossref

Autoren
DOI
10.1016/j.ejor.2014.01.012
Zeitschrift
Eur. J. Oper. Res.
Artikelnummer
1
Paginierung
50 - 61
Datum der Veröffentlichung
2014
Titel
Car sequencing versus mixed-model sequencing: A computational study.
Ausgabe der Zeitschrift
237

Data source: DBLP

Abstract
The paper deals with the two most important mathematical models for sequencing products on a mixed-model assembly line in order to minimize work overload the mixed-model sequencing (MMS) model and the car sequencing (CS) model. Although both models follow the same underlying objective, only MMS directly addresses the work overload in its objective function. CS instead applies a surrogate objective using so-called sequencing rules which restrict labor-intensive options accompanied with the products in the sequence. The CS model minimizes the number of violations of the respective sequencing rules, which is widely assumed to lead to minimum work overload. This paper experimentally compares CS with MMS in order to quantify the gap in the solution quality between both models. The paper studies several variants of CS with different sequencing rule generation approaches and different objective functions from the literature as well as a newly introduced weighting factor. The performance of the different models is evaluated on a variety of random test instances. Although the objectives of CS and MMS are positively linearly correlated, results show that a sequence found by CS leads to at least 15% more work overload than a solution found by MMS. For none of the considered test instances and for none of the three different objective functions, CS is able to produce competitive results in terms of solution quality (work overload) compared to MMS. The results suggest that decision makers using CS should investigate whether MMS would lead to better sequencing orders for their specific instances.
Autoren
Ausgabe der Veröffentlichung
1
Schlüsselwörter
  • Scheduling
  • Mixed-model assembly line
  • Car sequencing
  • Mixed-model sequencing
Paginierung
50 - 61
Datum der Veröffentlichung
2014
Titel
Car sequencing versus mixed-model sequencing: A computational study
Ausgabe der Zeitschrift
237

Data source: RePEc

Beziehungen:
Property of

Tools