書誌事項
- タイトル別名
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- イチゲン カンリ オ コウリョ シタ ジュンカンガタ セイサン システム ノ ブヒン サイリヨウ モデル
- A parts reuse model in remanufacturing system with the unified management
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抄録
To reduce resource consumption and waste caused by economic activities, recycling of natural resource becomes necessary. Although manufacturers undertake products remanufacturing, recycling of resources is not adequately practiced. Companies engaging in remanufacturing activities have to gather information about used products to set a production schedule. However, companies can' t know when they are unsure when they will obtain used products because consumers discard such products they used at their own discretion. The uncertainty surrounding the lack of information makes recycling activity costlier. In this paper, we discuss a parts reuse model for the remanufacturing system take uncertainties into consideration. In this system, managers should generally collect the used products from each consumer and decide whether to reuse these products. Moreover, the information concerning their decision making for each process is extremely important for the overall unified management of the manufacturing/remanufacturing activity in order to increase the system efficiency. However, it is extremely difficult to determine the quantity and timing of collection and reuse in the remanufacturing process including uncertain factors. Therefore, the unified management cannot be realized, given the information uncertainty. To cope with this problem, we proposed a new parts reuse model for the remanufacturing system, based on the prediction model, to overcome the influence of the uncertainty.
収録刊行物
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- 人間社会環境研究 = Human and socio-environmental studies
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人間社会環境研究 = Human and socio-environmental studies 30 31-40, 2015-09-28
金沢大学大学院人間社会環境研究科 = Graduate School of Human and Socio-Enviromental Studies Kanazawa University
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詳細情報 詳細情報について
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- CRID
- 1050564285884519680
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- NII論文ID
- 120005656710
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- NII書誌ID
- AA12162559
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- ISSN
- 18815545
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- NDL書誌ID
- 026808960
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDL
- CiNii Articles