시뮬레이션을 활용한 프리캐스트 콘크리트 공급사슬 생산성 향상 : 재고관리와 몰드할당을 중심으로

다국어 초록 (Multilingual Abstract)

This study proposes various production management techniques that can be used in Precast Concrete(PC) manufacturing plants to improve the productivity of the PC supply chain, and evaluates the performance of each technique using simulation.
To this end, a simulation model is developed by defining the entities, resources, and processes of the PC supply chain. Five verification theories were used to confirm the suitability of the simulation model produced based on the information as a test bed, and it was confirmed that the simulation model had no errors in the system and reflected reality similarly.
Next, raw material inventory management policies are selected to improve productivity for raw material supply, and the performance of each methodology is evaluated. There are three raw material inventory management policies: QO, PO, and sS. Prior to the experiment, the process of optimizing the parameter values ​​of each policy was performed for all experimental cases. As a result of ANOVA on the experimental results, it was found that the raw material inventory management policy and two influencing factors had a significant effect on the inventory management cost, a performance evaluation measure. The policy that showed the best performance in all the experimental cases was QO, and it is judged that it was possible to prepare for the fluctuations in the supply and demand of raw materials through the use of a real-time inventory check system.
Finally, in order to improve the productivity of PC member production, five methods of calculating the number of molds Min, Max, SS, AS, and MBAS are developed and the performance of each methodology is evaluated. As a result of the experiment, both the method of calculating the number of molds and the influencing factors were judged to have a significant effect on the mold allocation cost, which is a performance evaluation measure. showed low cost. In addition, as a result of performing sensitivity analysis of cost according to the setting of unit delivery delay cost, SS up to about 180,000 won, MBAS up to about 420,000 won, and other AS showed the lowest cost.
These experimental results indicate that an appropriate production management technique should be adopted according to the information of the target system. In conclusion, it was possible to improve the overall productivity of the PC supply chain through the rational operation and management method of the PC manufacturing plant.

목차 (Table of Contents)

• Ⅰ. 서 론 1
• 1.1 연구 배경 및 목적 1
• 1.2 국내외 연구 동향 4
• 1.2.1 건설 분야의 시뮬레이션 관련 연구 6
• 1.2.2 건설 분야의 원자재 재고관리 관련 연구 7
• 1.2.3 건설 분야의 생산 몰드할당 관련 연구 8
• 1.3 연구 범위 및 방법 9
• Ⅱ. PC 시뮬레이션 모델 11
• 2.1 모델 정의 11
• 2.1.1 PC 공급사슬 정의 11
• 2.1.2 개체 정의 14
• 2.1.3 자원 정의 16
• 2.1.4 프로세스 정의 18
• 2.2 모델 개발 21
• 2.2.1 모델 프레임워크 21
• 2.2.2 데이터 모듈 23
• 2.2.3 플로차트 모듈 24
• 2.2.4 애니메이션 모듈 28
• 2.3 모델 검증 31
• 2.3.1 대상 시스템 정보 31
• 2.2.2 논리성 검증(verification) 34
• 2.2.3 유효성 확인(validation) 35
• 2.4 소결 37
• Ⅲ. 원자재 재고관리 38
• 3.1 문제 정의 38
• 3.1.1 원자재 재고관리 방식 분석 38
• 3.1.2 기호 정의 40
• 3.1.3 성능평가척도 정의 41
• 3.2 원자재 재고관리 정책 41
• 3.2.1 정량발주 방식(Quantity Ordering Method; QO) 41
• 3.2.2 정기발주 방식(Period Ordering Method; PO) 44
• 3.2.3 (s, S) 발주 방식((s, S) Ordering Method; sS) 45
• 3.3 재고관리 정책 성능평가 47
• 3.3.1 대상 시스템 정의 47
• 3.3.2 시뮬레이션 서브 모델 제작 49
• 3.3.3 실험 계획 50
• 3.3.4 실험 결과 52
• 3.4 소결 59
• Ⅳ. 생산 몰드할당 61
• 4.1 문제 정의 61
• 4.1.1 생산 몰드할당 방식 분석 61
• 4.1.2 기호 정의 62
• 4.1.3 성능평가척도 정의 64
• 4.2 몰드 개수 산정방식 64
• 4.2.1 최소(Minimum; Min) 65
• 4.2.2 최대(Maximum; Max) 66
• 4.2.3 단순 여유(Simple Slack; SS) 66
• 4.2.4 실질 여유(Actual Slack; AS) 67
• 4.2.5 몰드 기반 실질 여유(Molds Based Actual Slack; MBAS) 69
• 4.3 몰드 개수 산정방식 성능평가 72
• 4.3.1 대상 시스템 정의 72
• 4.3.2 시뮬레이션 서브 모델 제작 75
• 4.3.3 실험 계획 79
• 4.3.4 실험 결과 80
• 4.4 소결 87
• Ⅴ. 결 론 89
• 참고문헌 91