Abstract
This paper examines serial production lines with unreliable non-identical parallel machines at each workstation and intermediate buffers with finite capacities. All machines are assumed to have exponential service times, times to failure and repair times. An efficient decomposition technique is introduced for the performance evaluation of such lines. Rather than replacing each parallel-machine workstation with an equivalent single-server workstation, the main contribution of this paper is the presentation of a direct approach to derive and apply decomposition equations directly for every parallel machine at each workstation. Experimental results indicate that such a method can provide a computationally efficient algorithm to analyse large serial unreliable multi-server production lines with a good accuracy compared against simulation and other available methods.
| Original language | English |
|---|---|
| Journal | International Journal of Production Research |
| DOIs | |
| Publication status | Published - Jan 1 2019 |
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Keywords
- decomposition
- exponential models
- finite buffers
- flow lines
- unreliable parallel-machine workstations
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
Cite this
Performance evaluation of flow lines with non-identical and unreliable parallel machines and finite buffers. / Diamantidis, Alexandros; Lee, Jun Ho; Papadopoulos, Chrysoleon; Li, Jingshan; Heavey, Cathal.
In: International Journal of Production Research, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Performance evaluation of flow lines with non-identical and unreliable parallel machines and finite buffers
AU - Diamantidis, Alexandros
AU - Lee, Jun Ho
AU - Papadopoulos, Chrysoleon
AU - Li, Jingshan
AU - Heavey, Cathal
PY - 2019/1/1
Y1 - 2019/1/1
N2 - This paper examines serial production lines with unreliable non-identical parallel machines at each workstation and intermediate buffers with finite capacities. All machines are assumed to have exponential service times, times to failure and repair times. An efficient decomposition technique is introduced for the performance evaluation of such lines. Rather than replacing each parallel-machine workstation with an equivalent single-server workstation, the main contribution of this paper is the presentation of a direct approach to derive and apply decomposition equations directly for every parallel machine at each workstation. Experimental results indicate that such a method can provide a computationally efficient algorithm to analyse large serial unreliable multi-server production lines with a good accuracy compared against simulation and other available methods.
AB - This paper examines serial production lines with unreliable non-identical parallel machines at each workstation and intermediate buffers with finite capacities. All machines are assumed to have exponential service times, times to failure and repair times. An efficient decomposition technique is introduced for the performance evaluation of such lines. Rather than replacing each parallel-machine workstation with an equivalent single-server workstation, the main contribution of this paper is the presentation of a direct approach to derive and apply decomposition equations directly for every parallel machine at each workstation. Experimental results indicate that such a method can provide a computationally efficient algorithm to analyse large serial unreliable multi-server production lines with a good accuracy compared against simulation and other available methods.
KW - decomposition
KW - exponential models
KW - finite buffers
KW - flow lines
KW - unreliable parallel-machine workstations
UR - http://www.scopus.com/inward/record.url?scp=85068590021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068590021&partnerID=8YFLogxK
U2 - 10.1080/00207543.2019.1636322
DO - 10.1080/00207543.2019.1636322
M3 - Article
AN - SCOPUS:85068590021
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
ER -