NDLI: Robustify a job-shop schedule according to the payload of the machine

Content Provider	IEEE Xplore Digital Library
Author	Zhiyang You Zhigang Sun Xibin Zhao Daxin Zang
Copyright Year	2010
Description	Author affiliation: Software Engineering Institute, Beijing University of Aeronautics and Astronautics, Beijing 100084, P.R. China (Daxin Zang) \|\| Key Laboratory of Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing 100084, P.R. China (Xibin Zhao) \|\| Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China (Zhiyang You) \|\| School of Software, Tsinghua University, Beijing, P.R. China (Zhigang Sun)
Abstract	Robust scheduling is an effective way to solve job-shop scheduling problem (JSP) under a dynamic and stochastic environment with uncertainties, which may lead to numerous schedule disruptions. Maintaining the optimization obtained, the robust schedule is more stable in execution. The vast majority of the researches on robust scheduling concentrate on the development of the robustness and stabilization with an optimization target that minimizes makespan. However, other optimization targets are needed in reality, and in this paper, we introduce another optimization target that maximizes the payload of the machine, which can reflect the capacity of machine. This work applies a two-step way to achieve a robust schedule. A baseline schedule in the deterministic environment is generated first, which pursues standard optimization criterions, and then the temporal buffers are inserted into the baseline schedule which make the schedule absorb some level of unexpected disruption without rescheduling. According to the payload of each machine which should be close to the maximum at any time in execution, we can get each size of the temporal buffers inserted into the different operations. An extensive experiment is used to show the relative performance of the proposed robust schedule. It is shown that the schedule is robust and stable under the stochastic disturbance coupling with minimal makespan tardiness and symmetry payload.
Starting Page	1
Ending Page	5
File Size	151354
Page Count	5
File Format	PDF
ISBN	9781424464852
e-ISBN	9781424464876
DOI	10.1109/ICSSSM.2010.5530187
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-28
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Job shop scheduling Uncertainty Processor scheduling Space technology Stochastic processes Switches Dynamic scheduling Robustness Payload Scheduling Payloads
Content Type	Text
Resource Type	Article

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