Improving performance of dispatch rules for daily scheduling of assembly and test operations

Jia, Shihui; Bard, Jonathan F.; Chacon, Rodolfo; Stuber, John

doi:10.1016/j.cie.2015.08.016

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…Rules for specific processing constraints have also been developed. Bard et al [173] and Jia et al [174] built rules to overcome frequent setups in assembly and test operations. Chung et al [175] suggested a dedication load-based dispatching rule so that jobs could use the same machine in reentrant photolithography operations.…”

Section: Stochastic and Dynamic Schedulingmentioning

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: Stochastic and Dynamic Schedulingmentioning

confidence: 99%

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

Fang,

Cheang,

Lim

2023

Sustainability

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“…The proposed methodology is tested using data provided by the assembly and test facility of a leading manufacture. Jia et al [40] showed how the logic of intelligent heuristics can be combined with discrete event simulation software (AutoSched AP) to evaluate various dispatch rules for machine setup and scheduling in the assembly and final test facilities. Three new dispatch rules are presented to configure machines and assigning lots in the facilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation Study for Semiconductor Manufacturing System: Dispatching Policies for a Wafer Test Facility

Yoon

Chae

2019

Sustainability

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The manufacture of semiconductor products requires many dedicated steps, and these steps can be grouped into several major phases. One of the major steps found at the end of the wafer fabrication process is the electrical die sorting (EDS) test operation. This paper focuses on dispatching policies in an EDS test facility to reduce unnecessary work for the system. This allows the semiconductor manufacturing facility to achieve better overall efficiency, thereby contributing to sustainable manufacturing by reducing material movements, the use of testing machines, energy consumption, and so on. In the facility, wafer lots are processed on a series of workstations (cells), and the facility holds identical parallel machines. The wafers are moved by an automatic material handling system from cell to cell as well as within cells. We propose several scheduling policies consisting of intercell and intracell material movements for efficient system operation. For this, four intercell scheduling policies and two intracell scheduling policies are introduced, and the effects of combinations are tested and evaluated through simulation experiments to obtain performance measures such as cycle time and work in process. The most efficient results among the combinations are presented as a proposed scheduling policy for a given EDS test facility.

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Multi-subpopulation parallel computing genetic algorithm for the semiconductor packaging scheduling problem with auxiliary resource constraints

Wang

Lin

Liang

et al. 2023

Applied Soft Computing

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Improving performance of dispatch rules for daily scheduling of assembly and test operations

Cited by 11 publications

References 18 publications

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

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

Simulation Study for Semiconductor Manufacturing System: Dispatching Policies for a Wafer Test Facility

Multi-subpopulation parallel computing genetic algorithm for the semiconductor packaging scheduling problem with auxiliary resource constraints

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