| 書目名稱 | Quantitative Methods in Supply Chain Management |
| 副標(biāo)題 | Models and Algorithm |
| 編輯 | Ioannis T. Christou |
| 視頻video | http://file.papertrans.cn/781/780921/780921.mp4 |
| 概述 | Provides the results of research from the last 6-12 months, which has not yet been published in book form.Offers experience in dealing with advanced algorithms for some of the most challenging problem |
| 圖書封面 |  |
| 描述 | .Quantitative Methods in Supply Chain Management. presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management. In the context of this book, “solving problems” usually means designing efficient algorithms for obtaining high-quality solutions..The first chapter is an extensive optimization review covering continuous unconstrained and constrained linear and nonlinear optimization algorithms, as well as dynamic programming and discrete optimization exact methods and heuristics. The second chapter presents time-series forecasting methods together with prediction market techniques for demand forecasting of new products and services. The third chapter details models and algorithms for planning and scheduling with an emphasis on production planning and personnel scheduling. The fourth chapter presents deterministic and stochastic models for inventory control with a detailed analysis on periodic review systems and algorithmic development for optimal control of such systems. The fifth chapter discusses models and algorithms for location/allocation problems arising in supply chain management, and transport |
| 出版日期 | Book 2012 |
| 關(guān)鍵詞 | Decision Support Systems; Inventory Control; Optimization Algorithms; Production Planning; Supply Chain |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-85729-766-2 |
| isbn_softcover | 978-1-4471-6038-0 |
| isbn_ebook | 978-0-85729-766-2 |
| copyright | Springer-Verlag London Limited 2012 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-5 22:25
發(fā)表于 2025-3-21 17:48:02
