Abstract
This paper considers a multi-objective machine cell problem, in which part types have several alternative part routings and the expected annual demand of each part type is known. This problem is characterised as optimally determining part type (routing) sets and corresponding machine cells such that total inter-cell part movements and total machine workload imbalances are simultaneously minimised. Due to the complexity of the problem, a two-stage heuristic algorithm is proposed, and computational experiments were conducted to verify the performance of the algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 268-275 |
| Number of pages | 8 |
| Journal | International Journal of Advanced Manufacturing Technology |
| Volume | 26 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2005 Jul 1 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Software
- Mechanical Engineering
- Computer Science Applications
- Industrial and Manufacturing Engineering
Cite this
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A machine cell formation algorithm for simultaneously minimising machine workload imbalances and inter-cell part movements. / Kim, Chang Ouk; Baek, Jun Geol; Jun, Jin.
In: International Journal of Advanced Manufacturing Technology, Vol. 26, No. 3, 01.07.2005, p. 268-275.Research output: Contribution to journal › Article
TY - JOUR
T1 - A machine cell formation algorithm for simultaneously minimising machine workload imbalances and inter-cell part movements
AU - Kim, Chang Ouk
AU - Baek, Jun Geol
AU - Jun, Jin
PY - 2005/7/1
Y1 - 2005/7/1
N2 - This paper considers a multi-objective machine cell problem, in which part types have several alternative part routings and the expected annual demand of each part type is known. This problem is characterised as optimally determining part type (routing) sets and corresponding machine cells such that total inter-cell part movements and total machine workload imbalances are simultaneously minimised. Due to the complexity of the problem, a two-stage heuristic algorithm is proposed, and computational experiments were conducted to verify the performance of the algorithm.
AB - This paper considers a multi-objective machine cell problem, in which part types have several alternative part routings and the expected annual demand of each part type is known. This problem is characterised as optimally determining part type (routing) sets and corresponding machine cells such that total inter-cell part movements and total machine workload imbalances are simultaneously minimised. Due to the complexity of the problem, a two-stage heuristic algorithm is proposed, and computational experiments were conducted to verify the performance of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=23244467357&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=23244467357&partnerID=8YFLogxK
U2 - 10.1007/s00170-003-1619-9
DO - 10.1007/s00170-003-1619-9
M3 - Article
AN - SCOPUS:23244467357
VL - 26
SP - 268
EP - 275
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
SN - 0268-3768
IS - 3
ER -