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![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. 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. |