| 查看: 202 | 回复: 0 | |||
| 当前主题已经存档。 | |||
[资源]
Effective Resource Management in Manufacturing Systems
|
|||
|
Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning (Springer Series in Advanced Manufacturing) By Massimiliano Caramia, Paolo Dell'Olmo, * Publisher: Springer * Number Of Pages: 216 * Publication Date: 2006-01-09 * Sales Rank: 1310826 * ISBN / ASIN: 1846280052 * EAN: 9781846280054 * Binding: Hardcover * Manufacturer: Springer * Studio: Springer * Average Rating: * Total Reviews: Book Description: ) Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trade-off between different objectives (like time, cost and workload balance) should be reached. In such a case, more sophisticated models and algorithms should be brought to the attention of managers and executives of manufacturing companies. Effective Resource Management in Manufacturing Systems aims to provide robust methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns, specifically focusing on problems like resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. This approach is based on providing quantitative methods, covering both mathematical programming and algorithms, leading to high quality solutions for the analysed problems. Details of extensive experimentation is provided for the proposed techniques to put them in a practical perspective, so that, on the one hand, the reader can reproduce them, and, on the other hand, it appears clear how they can be implemented in real scenarios. This book will be a valuable resource for postgraduate students studying business, engineering or computer science. It will also be of interest to researchers in the fore-mentioned areas. http://rapidshare.com/files/19648760/ERMMS.rar |
回复此楼» 猜你喜欢
filecode变化情况
已经有22人回复
-
filecode与中标关系的预测
已经有5人回复
-
金属材料论文润色/翻译怎么收费?
已经有264人回复
-
关于filecode
已经有7人回复
-
好奇怪的filecode
已经有7人回复
-
这样的filecode谁见过
已经有24人回复
-
2026国自然放榜时间
已经有9人回复
-
奇怪，两个人的filecode固定段从头到尾一模一样
已经有12人回复
-
确定了，国自然21号放榜
已经有9人回复
-
分享一下我之前已中青C的计划书的filecode
已经有5人回复
-
今天放榜吗？
已经有17人回复