A Study of Optimal Batch Import Kanbam System in the foundry industry

碩士 === 元智大學 === 工業工程與管理學系 === 98 === This research investigates the performance of the kanban and WIP control system in a five –station casting production line making multiple products. The main performance measures three factors:number of containers in kanban system、pouring cup、and melting furn...

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Main Authors: Chen-Lin Yang, 楊政霖
Other Authors: Henyi Jen
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/56672979828089350301
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spelling ndltd-TW-098YZU050310632015-10-13T18:20:43Z http://ndltd.ncl.edu.tw/handle/56672979828089350301 A Study of Optimal Batch Import Kanbam System in the foundry industry 鑄造業導入看板系統最適批量之研究 Chen-Lin Yang 楊政霖 碩士 元智大學 工業工程與管理學系 98 This research investigates the performance of the kanban and WIP control system in a five –station casting production line making multiple products. The main performance measures three factors:number of containers in kanban system、pouring cup、and melting furnace. We define that the pouring cup level is Base for Economic Lot Size;and the melting furnace level is Economic Lot Size Restrictions. According to the above mentioned factors of the number of different standards for performance indicators to optimize.Using the Arena simulation modeling the multistage single -card kanban system,and setting limits on type and target type to find out the best operating level in any possible suggestions. The indicators is Input、Output、average WIP、Total Time、Turnover、and Profit. After modeling we use the “OPTQuest for Arena” to profit-maximizing,then compared with the push system model the increase of efficiency. The batch size associated with each card has a significant effect on the performance of the Kanban system. And the effect of the number of Kanban cards in the system is also significant. In fact, since the batch size and lead times are correlated, its effect is much more complex than the number of containers in the system. Henyi Jen 任恆毅 2010 學位論文 ; thesis 106 zh-TW
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description 碩士 === 元智大學 === 工業工程與管理學系 === 98 === This research investigates the performance of the kanban and WIP control system in a five –station casting production line making multiple products. The main performance measures three factors:number of containers in kanban system、pouring cup、and melting furnace. We define that the pouring cup level is Base for Economic Lot Size;and the melting furnace level is Economic Lot Size Restrictions. According to the above mentioned factors of the number of different standards for performance indicators to optimize.Using the Arena simulation modeling the multistage single -card kanban system,and setting limits on type and target type to find out the best operating level in any possible suggestions. The indicators is Input、Output、average WIP、Total Time、Turnover、and Profit. After modeling we use the “OPTQuest for Arena” to profit-maximizing,then compared with the push system model the increase of efficiency. The batch size associated with each card has a significant effect on the performance of the Kanban system. And the effect of the number of Kanban cards in the system is also significant. In fact, since the batch size and lead times are correlated, its effect is much more complex than the number of containers in the system.
author2 Henyi Jen
author_facet Henyi Jen
Chen-Lin Yang
楊政霖
author Chen-Lin Yang
楊政霖
spellingShingle Chen-Lin Yang
楊政霖
A Study of Optimal Batch Import Kanbam System in the foundry industry
author_sort Chen-Lin Yang
title A Study of Optimal Batch Import Kanbam System in the foundry industry
title_short A Study of Optimal Batch Import Kanbam System in the foundry industry
title_full A Study of Optimal Batch Import Kanbam System in the foundry industry
title_fullStr A Study of Optimal Batch Import Kanbam System in the foundry industry
title_full_unstemmed A Study of Optimal Batch Import Kanbam System in the foundry industry
title_sort study of optimal batch import kanbam system in the foundry industry
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/56672979828089350301
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