journal article·2025-02-10Open access

Predominance Preferential Selection for Minimizing Surplus Parts in the Selective Assembly of a Flow Production System

Kanghyeon Shin, Hyobin Son, Kyohong Jin

Applied Sciences· Volume 15· Issue 4

Abstract

This paper presents the Predominance Preferential Selection (PPS) algorithm, an advanced approach to optimizing selective assembly in flow production systems. PPS enhances matching efficiency and reduces surplus parts by prioritizing component selection based on dimensional similarity. Unlike the Density-Based Prioritization (DBP) approach, PPS improves process capability and computational efficiency while maintaining dimensional diversity within slot structures. By grouping components with similar dimensions, PPS minimizes search space, achieving a matching rate increase from 95.11% to 97.09% and reducing computational time by 83%. Validation with real-world process data from a precision bearing manufacturer confirmed a 40% reduction in surplus parts, demonstrating its effectiveness. Although a slight decrease in process capability index (Cpk) was observed, the benefits of improved matching rates and efficiency outweigh this drawback. PPS is highly scalable and adaptable to multi-slot row structures, making it suitable for various flow production systems. This study contributes to advancing selective assembly methodologies, offering a computationally efficient and adaptable solution for precision manufacturing.
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Research context

OpenAlex topics: Manufacturing Process and Optimization · Advanced Manufacturing and Logistics Optimization · Assembly Line Balancing Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

DavinSoft Inc., Changwon 51397, Republic of Korea

Department of Smart Manufacturing Engineering, Changwon National University, Changwon 51140, Republic of Korea

Department of Electronic Engineering, Changwon National University, Changwon 51140, Republic of Korea

Funding

Ministry of Education (MOE) · Ministry of Science and ICT (MSIT)

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