| 書目名稱 | Due Date-Related Scheduling with Two Agents |
| 副標(biāo)題 | Models and Algorithm |
| 編輯 | Yunqiang Yin,Dujuan Wang,T.C.E. Cheng |
| 視頻video | http://file.papertrans.cn/284/283356/283356.mp4 |
| 概述 | Identifies novel due date-related scheduling models with two agent problems.Ascertains the computational complexity of each considered problem.Provides efficient exact or approximated solution algorit |
| 叢書名稱 | Uncertainty and Operations Research |
| 圖書封面 |  |
| 描述 | .This book provides an introduction to the models, methods, and results of some due date-related scheduling problems in the field of multiagent scheduling. In multiagent scheduling, two or more agents share a common processing resource and each agent wants to optimize its own objective function with respect to its own set of jobs. Since the agents have conflicting objective functions, they have to negotiate among themselves with regard to sharing the common resource to optimize their own objective functions. A key feature of due date-related scheduling concerns the way in which due dates are considered: they can be given parameters or decision variables. For the former case, the motivation stems from the need to improve inventory and production management. For the latter case, due date assignment becomes a challenging issue since the decision-maker has to balance inventory holding costs against the benefits of fulfifilling orders in time..As for due dates, this book addresses the following three different scenarios: (i) The due dates of the jobs from either one or both of the two agents are decision variables, which are determined using some due date assignment models; (ii) The due |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Schedule; Two agents; Due date assignment; Batch delivery; Just-in-time scheduling; Dynamic programming; F |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-2105-8 |
| isbn_softcover | 978-981-15-2107-2 |
| isbn_ebook | 978-981-15-2105-8Series ISSN 2195-996X Series E-ISSN 2195-9978 |
| issn_series | 2195-996X |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
|Archiver|手機(jī)版|小黑屋|
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