TY - JOUR
T1 - The development of a hierarchical rough-cut capacity planning model and demand management system for fishing-net manufacturing
AU - Hsieh, Chiung Hsi
AU - Yang, Taho
AU - Su, Chao Ton
AU - Lin, Cheng Han
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2012/7
Y1 - 2012/7
N2 - This research develops a demand management system, incorporating a machine-rate model, a rough-cut capacity planning (RCCP) model, and a demand management model for the fishing-net production industry. The machine-rate model is used to calculate a machine workload for the RCCP model to estimate capacity utilisation. The demand management model is important for quick response to customers' demands under a make-to-order (MTO) environment, such as that of the fishing-net production industry which has high variable demand requirements when compared to other industries. The demand management system has been successfully implemented in a fishing-net production company; and a simulation model is used to illustrate its effectiveness for demand management. The results indicate that the average profit per metric ton could increase from US$1,211 to US$1,353, approximately 11.7%. Moreover, the service level would be increased from 80.86% to 97.70%.
AB - This research develops a demand management system, incorporating a machine-rate model, a rough-cut capacity planning (RCCP) model, and a demand management model for the fishing-net production industry. The machine-rate model is used to calculate a machine workload for the RCCP model to estimate capacity utilisation. The demand management model is important for quick response to customers' demands under a make-to-order (MTO) environment, such as that of the fishing-net production industry which has high variable demand requirements when compared to other industries. The demand management system has been successfully implemented in a fishing-net production company; and a simulation model is used to illustrate its effectiveness for demand management. The results indicate that the average profit per metric ton could increase from US$1,211 to US$1,353, approximately 11.7%. Moreover, the service level would be increased from 80.86% to 97.70%.
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U2 - 10.1504/EJIE.2012.047664
DO - 10.1504/EJIE.2012.047664
M3 - Article
AN - SCOPUS:84863637159
SN - 1751-5254
VL - 6
SP - 422
EP - 440
JO - European Journal of Industrial Engineering
JF - European Journal of Industrial Engineering
IS - 4
ER -