As environmental concerns escalate, the increase in recycling of aluminum scrap is notable within the aluminum alloy production sector. Precise control of essential components such as Al, Cu, and Si is crucial in aluminum alloy production. However, recycled metal products comprise various metal components, leading to inherent uncertainty in component concentrations. Thus, meticulous determination of input quantities of recycled metal products is necessary to adjust the composition ratio of components. This study proposes a stable input determination heuristic algorithm considering the uncertainty arising from utilizing recycled metal products. The objective is to minimize total costs while satisfying the desired component ratio in aluminum manufacturing processes. The proposed algorithm is designed to handle increased complexity due to introduced uncertainty. Validation of the proposed heuristic algorithm's effectiveness is conducted by comparing its performance with an algorithm mimicking the input determination method used in the field. The proposed heuristic algorithm demonstrates superior results compared to the field-mimicking algorithm and is anticipated to serve as a useful tool for decision-making in realistic scenarios.

1. 서 론
2. 기존 연구
3. 문제 정의
4. 문제해결 알고리즘
    4.1 알고리즘 개요
    4.2 수리적 모델링
    4.3 알고리즘 수행 절차
5. 실험 결과
    5.1 데이터 설명
    5.2 현업 알고리즘
    5.3 실험 결과 및 분석
6. 결론
Acknowledgement
References

• Min-Ju Kang(Industrial and Management Engineering, Incheon National University) | 강민주 (인천대학교 산업경영공학과)
• Ji-Hoon Kim(Industrial and Management Engineering, Incheon National University) | 김지훈 (인천대학교 산업경영공학과)
• Kyeong-Jin Song(Industrial and Management Engineering, Incheon National University) | 송경진 (인천대학교 산업경영공학과)
• Yu-Jin Byun(Industrial and Management Engineering, Incheon National University) | 변유진 (인천대학교 산업경영공학과)
• Jae-Gon Kim(Industrial and Management Engineering, Incheon National University) | 김재곤 (인천대학교 산업경영공학과) Corresponding author