The intelligent production line configuration strategy

Establishing an intelligent production line with high flexibility entails significant expenses, thereby strategic decision-making regarding the utilization of labor flexibility in the production line configuration becomes crucial for the success of a smart factory. This study considers two predominant production line configuration strategies in a production environment characterized by multi-variety and small-batch orders: (1) a double-line configuration strategy , where a fully automated intelligent production line focuses on producing relatively standardized products, while a manual production line is dedicated to crafting personalized products. We obtain optimal work allocation under this strategy. (2) a line-changeover configuration strategy , characterized by a single flexible production line where machine-driven tasks are automatically executed. Manual intervention is only required during line changeovers and setups between different product types. A comparative cost analysis between these two configuration strategies reveals that, for production batch size exceeding a batch threshold, the line-changeover strategy outperforms the double-line strategy. Moreover, if a square root rule is satisfied, the line-changeover strategy consistently outperforms the double-line strategy. Notably, investments directed towards setup reduction prove instrumental in reducing production costs and reducing the batch threshold, thereby amplifying the advantages of the line-changeover strategy. The future comparative advantage of these two configuration strategies is contingent upon ongoing technological developments. • This study compares two production line configuration strategies—double-line configuration (DLC) and line-changeover configuration (LCC). • The DLC strategy optimally allocates work between a fully automated intelligent production line and a manual line. • The LCC strategy outperforms the DLC strategy when batch size exceeds a critical threshold. • Investments in setup reduction significantly enhance the cost-efficiency of the LCC strategy, reducing the batch threshold.

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Publication Details

Journal
International Journal of Production Economics
Published
2025-04-18
DOI
https://doi.org/10.1016/j.ijpe.2025.109647
Citations
6
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
7.45

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article

The intelligent production line configuration strategy

Yanyu Zhang, Hui Wang, Guohui Chen, Qiguo Gong
6 citations
International Journal of Production Economics
Scheduling and Optimization Algorithms
7.45
article

The intelligent production line configuration strategy

Yanyu Zhang, Hui Wang, Guohui Chen, Qiguo Gong
article en
6 citations

Abstract

Establishing an intelligent production line with high flexibility entails significant expenses, thereby strategic decision-making regarding the utilization of labor flexibility in the production line configuration becomes crucial for the success of a smart factory. This study considers two predominant production line configuration strategies in a production environment characterized by multi-variety and small-batch orders: (1) a double-line configuration strategy , where a fully automated intelligent production line focuses on producing relatively standardized products, while a manual production line is dedicated to crafting personalized products. We obtain optimal work allocation under this strategy. (2) a line-changeover configuration strategy , characterized by a single flexible production line where machine-driven tasks are automatically executed. Manual intervention is only required during line changeovers and setups between different product types. A comparative cost analysis between these two configuration strategies reveals that, for production batch size exceeding a batch threshold, the line-changeover strategy outperforms the double-line strategy. Moreover, if a square root rule is satisfied, the line-changeover strategy consistently outperforms the double-line strategy. Notably, investments directed towards setup reduction prove instrumental in reducing production costs and reducing the batch threshold, thereby amplifying the advantages of the line-changeover strategy. The future comparative advantage of these two configuration strategies is contingent upon ongoing technological developments. • This study compares two production line configuration strategies—double-line configuration (DLC) and line-changeover configuration (LCC). • The DLC strategy optimally allocates work between a fully automated intelligent production line and a manual line. • The LCC strategy outperforms the DLC strategy when batch size exceeds a critical threshold. • Investments in setup reduction significantly enhance the cost-efficiency of the LCC strategy, reducing the batch threshold.

International Journal of Production EconomicsVol. 285
Chongqing Technology and Business University (CN), National Marine Environmental Forecasting Center (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 3%
Scheduling and Optimization Algorithms
7.45
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