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悉尼科技大学黄锋樟高级讲师学术讲座
作者:王熙    发布时间:2017-12-16 00:07:52    访问次数:2331  
 
讲座题目:上午Production Optimisation: Scheduling vs. Sequencing

              下午Flexible Flowshop Scheduling with Dedicated Machines

时间:2017年12月26日上午 10:30-12:00,下午14:30-16:30

地点:信息楼0212室

主讲人简介:

经历(Experiences):

Lecturer (Level B), University of Technology Sydney, AU   2013.02-2017.07

Visiting Postdoctoral Fellow (NSC Fellowship), The University of Warwick, UK 2012.01-2012.12

Postdoctoral Fellow, National Chiao Tung University, TW   2011.07-2011.12

Postdoctoral Fellow, National Tsing Hua University, TW  2011.03-2011.06

客座主编(Guest Editor):Agronomy (SCI Expanded, ISSN 2073-4395)

                         Special Issue on “Deep Learning Techniques for Agronomy Applications”

                                         Symmetry (SCI, JCR IF: 1.457, Ranking: 25/64 (Q2))

                                 Special Issue on “Applications of Internet of Things”

                                         Journal of Electrical and Computer Engineering (EI)

                                        Special Issue on “Internet of Mobile Things”

讲座内容简介:

上午内容Scheduling and sequencing in production optimisation will be discussed in this talk. In machine or shop manufacturing environment, sequences of jobs or operations indicate the order of processing on machines while schedules explicitly specify the starting and completion times of activities on specific machines. For some problems, determining an optimal schedule from a given sequence may not be straightforward because another decision such as batching, interleaving, or idle time insertion is needed for optimality. In the past years, we have studied several scheduling optimisation problems in which the sequencing decisions are pre-made. The computational statuses of those problems are investigated and the related real-world applications are also introduced.

下午内容:In this talk, the manufacturing environments in which m+1 machines are configured as two-stage flexible flow shops with dedicated machines (F2DM) will be discussed. F2DM scheduling problems arise naturally from practical production and fabrication systems, and they are classified into two categories, whose machine settings are antithetical to each other. In model 1, a single common bottleneck machine is installed at stage 1 and m parallel dedicated machines comprise stage 2. The second model has the m dedicated machines at stage 1 and the bottleneck machine at stage 2. Categorising the literature according to the performance metrics, the study surveys the existing research results of the two models and proposes several new solution procedures with improved computational complexity. The complexity results are summarized, and suggestions are made for future research.

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