TY - GEN
T1 - A hybrid MTS-MTO production model with a dynamic decoupling point for flexible flow shops
AU - Jia, Yanchao
AU - Weng, Wei
AU - Fujimura, Shigeru
N1 - Funding Information:
ACKNOWLEDGMENT The authors acknowledge the support of JSPS Grants-in-Aid for Scientific Research (KAKENHI) Grant Number 15K16296.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/27
Y1 - 2017/6/27
N2 - Competition and resultant complexity of today's production industry require that enterprises realise the importance of reducing total costs in production. Uncertainties of customer orders also make it difficult to determine the schedule for minimizing inventories, earliness and tardiness. In this paper, we propose a new production model for flexible flow shops, which aims to reduce the total inventories, earliness and tardiness. The model divides a flexible flow shop (FFS) into a make-to-stock (MTS) part and a make-to-order (MTO) part by applying a decoupling point. In the MTS part, jobs are manufactured into semi-finished products and then stored as inventories at the decoupling point. As soon as a customer order is received, the inventories are released into the system, starting undergoing processing in the MTO part. This shortens the lead time for manufacturing the products. Another advantage of the proposed model is that the less number of operations in the MTO part than that in a job makes it easier to avoid tardiness. In addition, we designed two types of models: dynamic and static, which depends on whether the decoupling point is dynamically adjusted to adapt to different arrival rates of customer orders. The reason why we design two types is to compare the performance of the proposed two models. Results show that the dynamic hybrid model outperforms pull, push and static hybrid models for reducing costs.
AB - Competition and resultant complexity of today's production industry require that enterprises realise the importance of reducing total costs in production. Uncertainties of customer orders also make it difficult to determine the schedule for minimizing inventories, earliness and tardiness. In this paper, we propose a new production model for flexible flow shops, which aims to reduce the total inventories, earliness and tardiness. The model divides a flexible flow shop (FFS) into a make-to-stock (MTS) part and a make-to-order (MTO) part by applying a decoupling point. In the MTS part, jobs are manufactured into semi-finished products and then stored as inventories at the decoupling point. As soon as a customer order is received, the inventories are released into the system, starting undergoing processing in the MTO part. This shortens the lead time for manufacturing the products. Another advantage of the proposed model is that the less number of operations in the MTO part than that in a job makes it easier to avoid tardiness. In addition, we designed two types of models: dynamic and static, which depends on whether the decoupling point is dynamically adjusted to adapt to different arrival rates of customer orders. The reason why we design two types is to compare the performance of the proposed two models. Results show that the dynamic hybrid model outperforms pull, push and static hybrid models for reducing costs.
KW - Decoupling point
KW - Dynamic manufacturing control
KW - Flexible flow shop
KW - Hybrid system
KW - Inventories
KW - Tardiness
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U2 - 10.1109/ICIS.2017.7960102
DO - 10.1109/ICIS.2017.7960102
M3 - Conference contribution
AN - SCOPUS:85030647711
T3 - Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017
SP - 803
EP - 807
BT - Proceedings - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017
A2 - Cui, Xiaohui
A2 - Yao, Shaowen
A2 - Xu, Simon
A2 - Zhu, Guobin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017
Y2 - 24 May 2017 through 26 May 2017
ER -