| 书目名称 | Optimization of Integrated Supply Chain Planning under Multiple Uncertainty |
| 编辑 | Juping Shao,Yanan Sun,Bernd Noche |
| 视频video | |
| 概述 | Puts forward a dynamic equation model of customer demand and testifies the correctness and reliability of the model with numerical examples.Builds three kinds of integrated novel supply chain logistic |
| 图书封面 |  |
| 描述 | The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management. Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy r |
| 出版日期 | Book 2015 |
| 关键词 | Dynamic equation; Hybrid intelligent algorithm; Modeling and optimizing; Supply chain logistics plannin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-47250-7 |
| isbn_softcover | 978-3-662-51617-1 |
| isbn_ebook | 978-3-662-47250-7 |
| copyright | Springer-Verlag Berlin Heidelberg 2015 |
发表于 2025-3-21 20:04:46
