A lexicographic optimization approach for a bi-objective parallel-machine scheduling problem minimizing total quality loss and total tardiness

Chen, Lu; Yang, Wenhui; Qiu, Kejun; Dauzère‐Pérès, Stéphane

doi:10.1016/j.cor.2023.106245

Cited by 4 publications

(1 citation statement)

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“…Similarly, Ref. [93] studied R m r j , s kl , aux ∑ w j C j from the photolithography operation. They proposed two MILP formulations and integrates VNS into GA as the solution improvement procedure.…”

Section: Non-batch Machine Scheduling Problemsmentioning

confidence: 99%

Problems and Solution Methods of Machine Scheduling in Semiconductor Manufacturing Operations: A Survey

Fang,

Cheang,

Lim

2023

Sustainability

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Machine scheduling problems associated with semiconductor manufacturing operations (SMOs) are one of the major research topics in the scheduling literature. Lots of papers have dealt with different variants of SMOs’ scheduling problems, which are generally difficult to tackle theoretically and computationally. In this paper, the single machine, parallel machines, flow shops, and job shops scheduling problems from SMOs have been reviewed, based on different processing constraints, e.g., batch processing, auxiliary resources, incompatible job families, and reentrant flow, etc., with the cycle time, flow time, and throughput-related performance measures. Given the vast and diverse nature of the current literature, it is urgently needed to make a systematic survey in order to identify the important research problems, research trends, and the progress of the related solution methods, as well as clarify future research perspectives. We hope the findings and observations could provide some insights to the researchers and practitioners in this domain.

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Section: Non-batch Machine Scheduling Problemsmentioning

confidence: 99%