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Titlebook: Stochastic Modelling in Production Planning; Methods for Improvem Alexander Hübl Book 2018 Springer Fachmedien Wiesbaden GmbH 2018 Hierarch

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發(fā)表于 2025-3-21 20:09:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Stochastic Modelling in Production Planning
副標題Methods for Improvem
編輯Alexander Hübl
視頻videohttp://file.papertrans.cn/879/878014/878014.mp4
概述Models for Production Planning?.Includes supplementary material:
圖書封面Titlebook: Stochastic Modelling in Production Planning; Methods for Improvem Alexander Hübl Book 2018 Springer Fachmedien Wiesbaden GmbH 2018 Hierarch
描述.Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models. Results are on the one hand a decision support system for determining capacity and the further development of the production planning method Conwip. On the other hand, the author develops the JIT intensity and analytically proves the effects of dispatching rules on production lead time..
出版日期Book 2018
關鍵詞Hierarchical Levels; Master Planning; Demand Planning; Scheduling; Performance Indicators
版次1
doihttps://doi.org/10.1007/978-3-658-19120-7
isbn_softcover978-3-658-19119-1
isbn_ebook978-3-658-19120-7
copyrightSpringer Fachmedien Wiesbaden GmbH 2018
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沙發(fā)
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Conwip,st; see (Framinan et al., 2003) for a review. Analytical studies discussing the behaviour of Conwip are usually linked to MTS systems or they neglect the distinction between MTO and MTS since only throughput, WIP and production lead time are focused (Spearman et al., 1990; Duenyas et al., 1993; Tard
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Dispatching Rules,ween processing time and production lead time are formulated and proved theoretically. Theorem 1 links the average production lead time to the “processing time weighted production lead time” for multi-stage production systems analytically.
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