부족분 게임에서 정보가치에 관한 연구
The Study on Effect of Information Value in Shortage Game
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
A general structure of the network consists of one provider and two buyers, which is called a divergent structure. In the divergent structure, the allocation occurs because it is difficult to meet all of the buyers' demands, resulting in shortage games. Considering that the shortage game leads Bullwhip effect, reducing the shortage game will also reduce the Bullwhip effect. Previous studies suggest that information sharing will enhance the performance of the supply chain and reduce the Bullwhip effect, but adverse effects may occur depending on the type of information shared. This study researched what information should be shared to increase the performance of the supply chain and lower the negative effects such as Bullwhip effect. Opportunism information sharing model(A Model), Competitor information sharing model(B Model) and Supplier and Competitor information sharing model(C Model) were simulated by method of system dynamics, and each model was compared in terms of buyer inventory, customer service rate, and supply chain cost. As a result of the study, it was demonstrated that sharing the supplier's inventory and the other party's order volume can increase the performance of the supply chain by 16.3% and reduce negative effects such as Bullwhip effect.
Abstract
A general structure of the network consists of one provider and two buyers, which is called a divergent structure. In the divergent structure, the allocation occurs because it is difficult to meet all of the buyers' demands, resulting in shortage games. Considering that the shortage game leads Bullwhip effect, reducing the shortage game will also reduce the Bullwhip effect. Previous studies suggest that information sharing will enhance the performance of the supply chain and reduce the Bullwhip effect, but adverse effects may occur depending on the type of information shared. This study researched what information should be shared to increase the performance of the supply chain and lower the negative effects such as Bullwhip effect. Opportunism information sharing model(A Model), Competitor information sharing model(B Model) and Supplier and Competitor information sharing model(C Model) were simulated by method of system dynamics, and each model was compared in terms of buyer inventory, customer service rate, and supply chain cost. As a result of the study, it was demonstrated that sharing the supplier's inventory and the other party's order volume can increase the performance of the supply chain by 16.3% and reduce negative effects such as Bullwhip effect.
참고문헌 (33)
- 김광석, "정보공유와 SCM성과와의 관계에 관한 실증연구: 정보공유의 선행요인 분석을 중심으로", 산업혁신연구, 28(2), pp.101~130 (2012), 산업개발연구소[DOI]
- 김상오, "정보공유 선행요인, 정보공유, 리스크 정보공유가 공급사슬성과에 미치는 영향에 관한 연구", 한국생산관리학회지, 18(4), pp.117~146 (2007), 한국생산관리학회[DOI]
- 김종수, "시뮬레이션을 이용한 수정(R,S) 정책의 효율성 연구", 한국경영과학회 추계 학술대회논문집, pp.478~482 (2010)
- 문성암, "4차 산업혁명기술시대의 스마트 군수" (2022), 한경사
- 문성암, "연속 뉴스벤더 모델에서 주문량 결정의 합리성에 미치는 영향 요인에 관한 연구 - 수요정보의 제공, 수요의 불확실성, 학습을 중심으로 -", 한국혁신학회지, 7(1), pp.71~88 (2012), 한국혁신학회[DOI]
- 문성암, "의사결정자의 평균고정 휴리스틱이 공급사슬에 미치는 영향에 관한 연구", 로지스틱스연구, 20(1), pp.72~88 (2012), 한국로지스틱스학회[DOI]
- 서용원, "경쟁적 소매상으로 구성된 공급사슬에서 정보공유의 역효과에 관한 연구", 한국경영과학회지, 37(3), pp.95~116 (2012), 한국경영과학회
- 서창적, "공급사슬 파트너 간 정보공유가 모듈화 및 운영성과에 미치는 영향 : 모듈 공급 기업을 중심으로", 로지스틱스연구, 23(1), pp.69~86 (2015), 한국로지스틱스학회[DOI]
- 송장근, "정보공유를 통한 성과형성모델: 자산전용성과 정보공유가 공급사슬 내 성과에 미치는 영향", 한국생산관리학회지, 21(1), pp.101~121 (2010), 한국생산관리학회[DOI]
- 정동진, "참여자의 기회주의 성향이 공급사슬 풀링 효과에 미치는", 로지스틱스연구, 28(2), pp.1~11 (2020), 한국로지스틱스학회[DOI]
- 지원찬, "부분정보 하 군 재고관리 모델의 효과적 주문량 조정 알고리즘 연구", 로지스틱스연구, 26(2), pp.71~90 (2018), 한국로지스틱스학회[DOI]
- 이용기, "경쟁적 소매환경의 공급사슬에서 정보공유 역효과에 관한 행동 실험 기반의 연구", 한국SCM학회지, 10(1), pp.199~208 (2010), 한국SCM학회
- 문성암, "수평보급 상황에서의 주문 비동기화에 관한 연구", 로지스틱스연구, 23(3), pp.39~54 (2015), 한국로지스틱스학회[DOI]
- 임정혁, "할당 공정성이 육군 공급사슬에 미치는 영향 연구: 비례할당 방식과 무작위할당 방식을 중심으로", 로지스틱스연구, 30(3), pp.15~28 (2022), 한국로지스틱스학회[DOI]
- Barlas, Y., "Formal aspects of model validity &validation in system dynamics", System Dynamics Review, 12(3), pp.183~210 (1996)
- Bourland, K., "Exploring Timely Demand Information to Reduce Inventories", European Journal of Operation Research, 92, pp.239~253 (1996)
- Cachon, G. P, "An equilibrium analysis of linear, proportional and uniform allocation of scarce capacity", IIE Transactions, 31(9), pp.835~849 (1999)
- Cachon, G. P, "전략적 수요ㆍ공급관리" (2006), 한국맥그로힐
- Chen, F., "Quantifying the bullwhip effect in a simple supply chain : The impact of forecasting, lead time, and information", Management Science, 46(3), pp.436~443 (2000)
- Chen, M. C., "Investigating the value of information sharing in multi-echelon supply chains", Qual Quant, 41, pp.497~511 (2007)
- Crosonm R, "Upstream versus downstream information and its impact on the bullwhip effect", System Dynamic Review, 21(3), pp.249~260 (2005)
- Dyer, J. H., "Specialized supplier networks as a source of competitive advantage evidence from the auto industry", Strategic Management Journal, 17(4), pp.271~291 (1996)
- Gavirneni, S., "Value of Information in Capacitated Supply Chains", Management Science, 45(1), pp.16~24 (1999)
- Hong-Minh, S. M., "The dynamics of emergency transhipment supply chain", International Journal of Physical Distribution & Logistics Management, 30(1), pp.788~815 (2000)
- Kumar, M., "Tackling Rationing ans Shortage Gaming Reason of Bullwhip Effect with Fuzzy Logic Approach", Research Inventory : International Journal of Engineering and Science, 2(10), pp.48~52 (2013)
- Lee, H. L., "Information Distortion in a Supply Chain : The Bullwhip Effect", Management Science, 43(4), pp.546~558 (1997)
- Lee, H. L., "The bullwhip effect in supply chains", Sloan Management Review, 38, pp.93~102 (1997)
- Lotfi, Z., "Information Sharing in Supply Chain Management", Procedia Technology, 11, pp.298~304 (2013)
- Sahin, F, "Flow Coordination and Information Sharing in Supply Chains : Review, Implications, and Directions for Future Research", Decision Sciences, 33(4), pp.505~536 (2002)
- Samuel, C, "Shortage gaming and supply chain performance", International Journal of Manufacturing Technology and Management, 5(5, pp.6) (2003), 536~548
- Sargent, R, "Verification and validation of simulation models", Journal of Simulation, 7, pp.12~24 (2013)
- Sterman, J. D., "Business Dynamics: System thinking and Modeling for complex world" (2000), Irwin McGraw-Hill
- Zali, M. R., "System Dynamics Modeling in Entrepreneurship Research : A Review of the Literature", International Journal of Supply and Operations Management, 1(3), pp.347~370 (2014)