Abstract
The current approach in practice to produce the flowshop schedules of precast production is the dispatching rule technique, which does not guarantee optimal schedules. Some researchers have developed models for a single production line to optimize the scheduling, in which Genetic Algorithm (GA) is used to obtain the solution. However the models cannot be used for multiple production lines. Moreover, some optimization constraints and objectives were missing in the models, such as avoiding frequent type change of precast components during production. Both issues hinder their work to be applied to real precast plants. To overcome the problem, this paper proposes a Flowshop Scheduling Model of Multiple production lines for Precast production (MP-FSM) and develops a corresponding optimization approach to facilitate optimized scheduling by using GA. The approach was validated preliminarily by comparing with traditional scheduling approaches. The results demonstrated that optimized schedules can be obtained by using the proposed approach.
| Language | English |
|---|---|
| Pages | 321-329 |
| Number of pages | 9 |
| Journal | Automation in Construction |
| Volume | 72 |
| Issue number | 3 |
| Early online date | 27 Aug 2016 |
| DOIs | |
| Publication status | Published - Dec 2016 |
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Optimized flowshop scheduling of multiple production lines for precast production. / Yang, Zhitian; Ma, Zhiliang; Wu, Song.
In: Automation in Construction, Vol. 72, No. 3, 12.2016, p. 321-329.Research output: Contribution to journal › Article
TY - JOUR
T1 - Optimized flowshop scheduling of multiple production lines for precast production
AU - Yang, Zhitian
AU - Ma, Zhiliang
AU - Wu, Song
PY - 2016/12
Y1 - 2016/12
N2 - The current approach in practice to produce the flowshop schedules of precast production is the dispatching rule technique, which does not guarantee optimal schedules. Some researchers have developed models for a single production line to optimize the scheduling, in which Genetic Algorithm (GA) is used to obtain the solution. However the models cannot be used for multiple production lines. Moreover, some optimization constraints and objectives were missing in the models, such as avoiding frequent type change of precast components during production. Both issues hinder their work to be applied to real precast plants. To overcome the problem, this paper proposes a Flowshop Scheduling Model of Multiple production lines for Precast production (MP-FSM) and develops a corresponding optimization approach to facilitate optimized scheduling by using GA. The approach was validated preliminarily by comparing with traditional scheduling approaches. The results demonstrated that optimized schedules can be obtained by using the proposed approach.
AB - The current approach in practice to produce the flowshop schedules of precast production is the dispatching rule technique, which does not guarantee optimal schedules. Some researchers have developed models for a single production line to optimize the scheduling, in which Genetic Algorithm (GA) is used to obtain the solution. However the models cannot be used for multiple production lines. Moreover, some optimization constraints and objectives were missing in the models, such as avoiding frequent type change of precast components during production. Both issues hinder their work to be applied to real precast plants. To overcome the problem, this paper proposes a Flowshop Scheduling Model of Multiple production lines for Precast production (MP-FSM) and develops a corresponding optimization approach to facilitate optimized scheduling by using GA. The approach was validated preliminarily by comparing with traditional scheduling approaches. The results demonstrated that optimized schedules can be obtained by using the proposed approach.
KW - Flowshop scheduling
KW - Genetic algorithm
KW - Optimization
KW - Precast production
UR - http://www.scopus.com/inward/record.url?scp=84994112886&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2016.08.021
DO - 10.1016/j.autcon.2016.08.021
M3 - Article
VL - 72
SP - 321
EP - 329
JO - Automation in Construction
T2 - Automation in Construction
JF - Automation in Construction
SN - 0926-5805
IS - 3
ER -