Ningtao Peng

ORCID: 0000-0001-8300-4864
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About
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Research Areas
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Control Systems Optimization
  • Assembly Line Balancing Optimization
  • Optimization and Search Problems

Central South University
2023-2024

The existing researches on flexible job shop scheduling problem (FJSP) mainly focus the processing process of jobs and neglect quality inspection completed jobs. However, is uncertain results are dynamic, so that crucial to reduce flow unqualified next manufacturing units or customers. Hence, a mathematical model formulated for dynamic with (FJSPI). An effective two-stage memetic algorithm (ETMA) developed solve proposed FJSPI. In ETMA, multi-neighborhood search operator (MSO) comprising...

10.1080/0305215x.2024.2437004 article EN Engineering Optimization 2024-12-23

The classical distributed hybrid flow shop scheduling problem (DHFSP) only considers static production settings while ignores operation inspection and reprocessing. However, in the actual production, manufacturing environment is usually dynamic; reprocessing are very necessary to avoid unqualified jobs from being transported other units make reasonable arrangements for unprocessed jobs. In this paper, we propose a DHFSP with (DHFSPR) first time, which as well processing time energy...

10.1177/00202940241245241 article EN cc-by Measurement and Control 2024-05-05
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