• English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • français 
    • English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • Ouvrir une session
Voir le document 
  •   Accueil de DSpace
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Voir le document
  •   Accueil de DSpace
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.
Tout DSpace
  • Communautés & Collections
  • Par date de publication
  • Auteurs
  • Titres
  • Sujets

Performance evaluation of an automatic transfer line with WIP scrapping during long failures

Thumbnail
Auteur
Liberopoulos, G.; Kozanidis, G.; Tsarouhas, P.
Date
2007
DOI
10.1287/msom.1060.0118
Sujet
transfer line
material scrapping
performance evaluation
SERIAL PRODUCTION LINES
BUFFER ALLOCATION
MANUFACTURING SYSTEMS
CAPACITY
MODELS
REWORK
FLOW
INSPECTION
ALGORITHM
BLOCKING
Management
Operations Research & Management Science
Afficher la notice complète
Résumé
We develop a model of a failure-prone, bufferless, paced, automatic transfer line in which material flows through a number of workstations in series, receiving continuous processing along each workstation. When a workstation fails, it stops operating, and so do all the other workstations upstream of it. The quality of the material trapped in the stopped workstations deteriorates with time. If this material remains immobilized beyond a certain critical time, its quality becomes unacceptable and it must be scrapped. We develop analytical expressions for important system performance measures for two cases. In the first case, the in-process material has no memory of the quality deterioration that it experienced during previous stoppages, whereas in the second case it has. In both cases, we assume that the workstation uptimes and downtimes follow memoryless distributions. We use the analytical expressions to numerically study the effect of system parameters on system performance. To evaluate the memoryless assumption, we compare the performance of the original model to that of a modified model in which the workstation downtimes do not follow memoryless distributions. The performance of the modified model is obtained via simulation.
URI
http://hdl.handle.net/11615/30349
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
htmlmap 

 

Parcourir

Tout DSpaceCommunautés & CollectionsPar date de publicationAuteursTitresSujetsCette collectionPar date de publicationAuteursTitresSujets

Mon compte

Ouvrir une sessionS'inscrire
Help Contact
DepositionAboutHelpContactez-nous
Choose LanguageTout DSpace
EnglishΕλληνικά
htmlmap