공급사슬 불확실성을 고려한 집단지성 기반의 공급사슬계획 프로세스
Collective Intelligence based Supply Chain Planning Process Considering Supply Chain Uncertainties
2
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
글로벌 공급사슬의 불확실성이 커지면서 공급사슬계획의 정확도를 제고하는 것이 중요한 문제로 대두되었다. 따라서 공급사슬계획을 소수 의사결정자들에게 맡겨 놓을 것이 아니라, 공급사슬 내 다수 전문가들의 공급사슬 불확실성에 대한 의견 또는 전망을 수렴하여 공급사슬계획을 수립하는 것이 계획의 불확실성을 줄이고 정확성을 제고하는 방안이 될 수 있다. 본 논문에서는 공급사슬계획 수립 시 공급사슬 전문가들의 의견을 수렴하여 활용하는 것을 ‘집단지성’이라 명명하고, 각 전문가들의 의견을 공급사슬계획 수립에 반영하는 프로세스를 제시하였다. 프로세스에 사용된 수리적 모델의 경우 기존의 연구들에서 검증된 2단계 확률적 선형계획법을 활용하였고, 수리적 모델의 입력 값으로 사용되는 공급 또는 수요 관련 시나리오들을 다수 전문가들이 제시하는 의견들로 대체할 수 있게 하였다. 또한 제안한 프로세스의 현업 적용 가능성을 검증하기 위하여 현재 개발 중인 웹기반 프로토타입의 기능들과 구현현황을 소개하였다. 개발될 프로토타입은 글로벌 사업장을 운영하거나 글로벌 시장에 대한 동향 파악이 중요한 중견 또는 중소기업의 공급사슬계획 수립 시 활용될 수 있으리라 기대된다.
Abstract
As global supply or demand uncertainties have increased, it is getting difficult for a single decision-makerto generate a supply chain plan by checking all those uncertainties. Thus, it will be helpful for a company tocollect various different opinions(forecasts) on both the upcoming supply and/or demand from the multipleexperts in the supply chain before generating the supply chain plan. In this paper, we propose a collectiveintelligence based supply chain planning (CI-SCP) process, which incorporates the various opinions of thesupply chain experts on the supply chain uncertainties into the mathematical model as scenarios. As for themathematical model of the CI-SCP process, we adopt a two-stage stochastic linear programming. Also, aweb-based prototype of the proposed CI-SCP process is presented focusing on its functions. The prototypeis now being developed, and it will be used for validating the proposed process later, and also it will be ableto be used for small and medium sized companies to generate a supply chain plan considering supply chain uncertainties.
참고문헌 (38)
- 박재천, "Web2.0기반 이러닝 협동학습 시스템 구축과 집단지성 발현에 대한 실증연구", 한국정보기술학회논문지, 8(8), pp.163~171 (2010), 한국정보기술학회
- 석왕미, "집단지성을 적용한 디자인 정보제공 사이트에 관한 연구", 디자인학연구, 23(5), pp.273~282 (2010), 한국디자인학회
- 심승배, "클라우드 환경에서 정량적, 정성적 Big Data를 활용한 공급사슬관리", Entrue Journal of Information Technology, 11(2), pp.227~238 (2012), 엘지씨엔에스[DOI]
- 이지혜, "집단지성을 활용한 인터랙티브 디자인 방법론 연구", 한국디자인학회 학술발표대회, 19, pp.198~199 (2011)
- Chopra S, "Managing risk to avoid supply-chain breakdown", MIT Sloan Management Review, 46(1), pp.53~61 (2004)
- Craighead CW, "The severity of supply chain disruptions: design characteristics and mitigation capabilities", Decision Sciences, 38(1), pp.131~156 (2007)
- Escudero LF, "On solving stochastic production planning problems via scenario modeling", TOP, 3(1), pp.69~95 (1995)
- Furtado V, "Collective Intelligence in Law Enforcement-The WikiCrimes System", Information Sciences, 180, pp.4~17 (2010)
- Gregg D, "Developing a Collective Intelligence Application for Special Education", Decision Support Systems, 47, pp.455~465 (2009)
- Inuiguchi M, "A possibilistic linear programming program in equivalent to a stochastic linear program in special case", Fuzzy Sets and Sys76, 30, pp.309~318 (1995)
- Jung H, "An available-to-promise process considering production and transportation uncertainties and multiple performance measures", International Journal of Production Research, 50(7), pp.1780~1798 (2012)
- Jung H, "Managing demand uncertainty through fuzzy inference in supply chain planning", International Journal of Production Research, 50(19), pp.5415~5429 (2012)
- Karabuk S, "Production planning under uncertainty in textile manufacturing", Journal of the Operational Research Society, 59(4), pp.510~520 (2008)
- Kleindorfer P, "Managing disruption risks in supply chains", Production and Operations Management, 14(1), pp.53~68 (2005)
- 이홍주, "Scenario Based Global Supply Chain Planning Process Considering Demand Uncertainty", Journal of Intl Logistics and Trade, 11(1), pp.67~86 (2013), 정석물류통상연구원
- Lee J-H, "Stimulating Designer's Creativity based on a Creative Evolutionary System and Collective Intelligence in Product Design", International Journal of Industrial Ergonomics, 40, pp.295~305 (2010)
- Leung SCH, "A robust optimization model for multi-site production planning problem in an uncertain environment", European Journal of Operational Research, 181, pp.224~238 (2007)
- Liang T-F, "Application of fuzzy sets to manufacturing", distribution planning decisions in supply chains, 2011, pp.181, 842~854
- Neiger D, "Supply chain risk identification with value-focused process engineering", Journal of Operations Management, 27, pp.154~168 (2009)
- Oke A, "Managing disruptions in supply chains: A case study of a retail supply chain", International Journal of Production, 118, pp.168~174 (2009)
- Peck H, "Drivers of supply chain vulnerability： An integrated framework", International Journal of Physical Distribution & Logistics Management, 35, pp.210~232 (2005)
- Peidro D, "Fuzzy optimization for supply chain planning under supply, demand and process uncertainties", Fuzzy Sets and Systems, 160(18), pp.2640~2657 (2009)
- Pfohl HC, "State of the art in supply chain risk management research: empirical and conceptual findings and a roadmap for the implementation in practice", Logistics Research, 2, pp.33~44 (2010)
- Pishvaee MS, "A possibilistic programming approach for closed-loop supply chain network design under uncertainty", Fuzzy Sets and Systems, 161, pp.2668~2683 (2010)
- Selim H, "Collaborative production-distribution planning in supply chain: a fuzzy goal programming approach", Transportation Research part E: Logistics and Transportation Review, 44(3), pp.396~419 (2008)
- Sheffi Y, "supply chain view of the resilient enterprise", MIT, 47(1), pp.41~48 (2005)
- Sheremetov L, "Supply chain network optimization based on collective intelligence and agent technologies", Human Systems Management, 27(1), pp.31~47 (2008)
- Sheremetov L, "Collective intelligence as a framework for supply chain management", 2nd International IEEE Conference on Intellifent Systems, 2, pp.417~422 (2004)
- 신현준, "시나리오 모델을 활용한 수요 및 가격 불확실성이 존재하는 TFT-LCD 산업에서의 Robust 생산 및 수송계획", 한국산학기술학회논문지, 11(9), pp.3304~3310 (2010), 한국산학기술학회
- Tang C, "The power of flexibility for mitigating supply chain risks", International Journal of Production Economics, 116, pp.12~27 (2008)
- Torabi SA, "An interactive possibilistic programming approach for multiple objective supply chain master planning", Fuzzy Sets and Systems, 159(2), pp.193~214 (2008)
- Tuncel G, "Risk assessment and management for supply chain networks: A case study", Computers in Industry, 61, pp.250~259 (2010)
- Vivacqua AS, "Taking Advantage of Collective Knowledge in Emergency Response Systems", Journal of Network and Computer applicatons, 35, pp.189~198 (2012)
- Wang JT, "Fuzzy decision modelling for supply chain management", Fuzzy Sets and Systems, 150, pp.107~127 (2005)
- Yu H, "Single or dual sourcing : decision-making in the presence of supply chain disruption risks", Omega, 37, pp.788~800 (2009)
- Zhang X, "A stochastic production planning model under uncertain seasonal demand and market growth", International Journal of Production Research, 49(7), pp.1957~1975 (2011)
- Zimmermann HJ, "Description and optimization of fuzzy systems", International Journal of General Systems, 2(4), pp.209~215 (1976)
- Zimmermann HJ, "Fuzzy programming and linear programming with several objective functions", Fuzzy Sets and Systems, 1(1), pp.45~55 (1978)