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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
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Sensors and Materials, Volume 37, Number 4(4) (2025)
Copyright(C) MYU K.K.
pp. 1711-1721
S&M4013 Technical Paper of Special Issue
https://doi.org/10.18494/SAM5465
Published: April 30, 2025

Simulation and Optimization of Production Scheduling in Multivariety Small-batch Mixed-flow Assembly Workshops Using IoT [PDF]

Di-Yu Lei, Fenglian Jiang, and Cheng-Fu Yang

(Received November 11, 2024; Accepted April 7, 2025)

Keywords: multiple varieties in small batches, mixed-flow assembly line, production sequencing issue, simulation, optimization

The mixed-flow production line has realized a production method featuring multiple varieties and small batches, retaining the advantages of large scale, high efficiency, and low cost of traditional assembly line production. The mixed-flow production line enhances production flexibility but also escalates the cost and demands of production management for the enterprise. To efficiently process a variety of products in small batches on the same assembly line, the issue of production sequencing for different products on the mixed-flow assembly line needs to be addressed. In this study, we utilize the FlexSim platform to simulate the workshop production activities of J Machinery Factory over one production cycle. By establishing a model and employing the OPTQUEST optimization module, the optimal solution is rapidly determined without increasing machine equipment, thereby maximizing total output profit. This provides a scientific quantitative basis for enterprise management and decision-making, ultimately enhancing competitiveness.

Corresponding author: Cheng-Fu Yang


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Cite this article
Di-Yu Lei, Fenglian Jiang, and Cheng-Fu Yang , Simulation and Optimization of Production Scheduling in Multivariety Small-batch Mixed-flow Assembly Workshops Using IoT, Sens. Mater., Vol. 37, No. 4, 2025, p. 1711-1721.



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