Abstract
This research focuses on solving the multistage processes pacemaker location problem. The aim is to implement lean continuous flow that can satisfy both a high service-level and low inventory cost. Simultaneously, we consider sophisticated variability, such as multi-products, random setup, random breakdown, yield loss, and batch processes, and other contingencies. The problem can be solved by a combination of multiple attribute decision-making and value stream mapping. A lean-pull production strategy adopts two work-in-process setups, and one supermarket as a buffer to create continuous flow. A practical thin film transistor-liquid crystal display manufacturing case study is utilised to illustrate the proposed method. The simulation results indicate that the inventory cost was reduced by over 57% after implementing a lean-pull production strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 2793-2817 |
| Number of pages | 25 |
| Journal | International Journal of Production Research |
| Volume | 49 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2011 May 15 |
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All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Management Science and Operations Research
- Strategy and Management
Cite this
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The use of a multiple attribute decision-making method and value stream mapping in solving the pacemaker location problem. / Yang, Ta-Ho; Lu, Jiunn Chenn.
In: International Journal of Production Research, Vol. 49, No. 10, 15.05.2011, p. 2793-2817.Research output: Contribution to journal › Article
TY - JOUR
T1 - The use of a multiple attribute decision-making method and value stream mapping in solving the pacemaker location problem
AU - Yang, Ta-Ho
AU - Lu, Jiunn Chenn
PY - 2011/5/15
Y1 - 2011/5/15
N2 - This research focuses on solving the multistage processes pacemaker location problem. The aim is to implement lean continuous flow that can satisfy both a high service-level and low inventory cost. Simultaneously, we consider sophisticated variability, such as multi-products, random setup, random breakdown, yield loss, and batch processes, and other contingencies. The problem can be solved by a combination of multiple attribute decision-making and value stream mapping. A lean-pull production strategy adopts two work-in-process setups, and one supermarket as a buffer to create continuous flow. A practical thin film transistor-liquid crystal display manufacturing case study is utilised to illustrate the proposed method. The simulation results indicate that the inventory cost was reduced by over 57% after implementing a lean-pull production strategy.
AB - This research focuses on solving the multistage processes pacemaker location problem. The aim is to implement lean continuous flow that can satisfy both a high service-level and low inventory cost. Simultaneously, we consider sophisticated variability, such as multi-products, random setup, random breakdown, yield loss, and batch processes, and other contingencies. The problem can be solved by a combination of multiple attribute decision-making and value stream mapping. A lean-pull production strategy adopts two work-in-process setups, and one supermarket as a buffer to create continuous flow. A practical thin film transistor-liquid crystal display manufacturing case study is utilised to illustrate the proposed method. The simulation results indicate that the inventory cost was reduced by over 57% after implementing a lean-pull production strategy.
UR - http://www.scopus.com/inward/record.url?scp=79952687512&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952687512&partnerID=8YFLogxK
U2 - 10.1080/00207541003801267
DO - 10.1080/00207541003801267
M3 - Article
VL - 49
SP - 2793
EP - 2817
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 10
ER -