MATEC Web Conf.
Volume 197, 2018The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|Number of page(s)||5|
|Published online||12 September 2018|
Three-stage flow-shop scheduling model with batch processing machine and discrete processing machine
Sekolah Tinggi Teknologi Garut, Department of Industrial Engineering, Jalan Mayor Syamsu No 1 Garut 44151, Indonesia
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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