Scheduling two-machine flow shop with a batch processing machine

Author(s):  
Shiegheun Koh ◽  
Youngjin Kim ◽  
Woonseek Lee
2018 ◽  
Vol 197 ◽  
pp. 14002
Author(s):  
Yusuf Mauluddin

This study discusses the model development of three-stage flow-shop scheduling involving Batch Processing Machine (BPM) and Discrete Processing Machine (DPM). Each job passes several stages of the production process from the first stage in DPM-a, the second stage in BPM, to the third stage in DPM-b. Each job is sequentially processed in DPM-a and DPM-b. in BPM; every job is handled simultaneously at the same time. The maximum weight determines the capacity of BPM. This study uses mathematic modeling approach. The result model produced in this study is Mixed Integer Linear Programming (MILP) Model. Purpose function model is minimizing total completion time. Model testing is done by using numerical examples with several data scenarios. The results showed that the model produced was the optimum model and provided a unique schedule pattern. In the future research can be formulated the heuristic model.


1996 ◽  
Vol 34 (8) ◽  
pp. 2163-2186 ◽  
Author(s):  
M. P. FANTI ◽  
B. MAIONE ◽  
G. PISCITELLI ◽  
B. TURCHIANO

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