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Xiaohui Song

Bio: Xiaohui Song is an academic researcher from Chongqing University. The author has contributed to research in topics: Dynamic priority scheduling & Lean manufacturing. The author has an hindex of 1, co-authored 1 publications receiving 13 citations.

Papers
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Journal ArticleDOI
TL;DR: Results show that the WSI-GA for prescheduling is superior to the referenced traditional priority-based genetic algorithms in the four different production modes and that EPW-LS for rescheduling can effectively improve the solutions of the preschedulings once disruption events occur.
Abstract: With the increased awareness of the market competition and protection of the environment, many studies have examined sustainable manufacturing, which combines lean production and sustainable perfor...

28 citations


Cited by
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Journal ArticleDOI
TL;DR: An overall architecture of the EC-IIoT based distributed and flexible job shop real- time scheduling (DFJS-RS) is proposed to enhance the real-time decision-making capability of the scheduling system.

33 citations

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TL;DR: A stochastic optimisation model that can be used to design a resilient supply chain operating under random disruptions is presented and a multi-cut L-shaped solution approach is developed to solve the proposed model.
Abstract: We present a stochastic optimisation model that can be used to design a resilient supply chain operating under random disruptions. The model aims to determine sourcing and network design decisions ...

33 citations

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TL;DR: This research combines deep neural network (DNN) and Markov decision processes (MDP) for the dynamic dispatching of re-entrant production systems and suggests that a properly trained DNN model can instantly generate near-optimal dynamic control policies for large problems.
Abstract: This research combines deep neural network (DNN) and Markov decision processes (MDP) for the dynamic dispatching of re-entrant production systems. In re-entrant production systems, jobs enter the s...

26 citations

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TL;DR: A systematic literature review of the recent literature that attempts to reflect environmental aspects and increased energy-awareness into production management finds substantial progress with regard to various aspects such as pushing system boundaries, coming up with advanced conceptual approaches, and striving for more practical relevance.

15 citations

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TL;DR: It is proved that the ESAs in SharedF is an economical and efficient organizational architecture, which can gain the utilization of the shared manufacturing resources and fit the idea of sustainable manufacturing.

12 citations