Scenario Based Global Supply Chain Planning Process Considering Demand Uncertainty
0
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
In this paper, we propose a scenario based global supply chain planning (GSCP)process considering demand uncertainty originated from various global supply chain risks. To generate the global supply chain plan, we first formulate a GSCP model. Then, we need to generate several scenarios which can represent various demand uncertainties. Lastly, a planning procedure for considering those defined scenarios is applied. Unlike the past related researches, we adopt the fuzzy set theory to represent the demand scenarios. Also, a scenario voting process is added to calculate a probability (possibility) of each scenario. An illustrative example based on a real world case is presented to show the feasibility of the proposed planning process.
Abstract
In this paper, we propose a scenario based global supply chain planning (GSCP)process considering demand uncertainty originated from various global supply chain risks. To generate the global supply chain plan, we first formulate a GSCP model. Then, we need to generate several scenarios which can represent various demand uncertainties. Lastly, a planning procedure for considering those defined scenarios is applied. Unlike the past related researches, we adopt the fuzzy set theory to represent the demand scenarios. Also, a scenario voting process is added to calculate a probability (possibility) of each scenario. An illustrative example based on a real world case is presented to show the feasibility of the proposed planning process.
참고문헌 (24)
- Ayağ, Z, "An intelligent approach to ERP software selection through fuzzy ANP", International Journal of Production Research, 45(10), pp.2169~2194 (2007)
- Davis, T, "Effective supply chain management", Sloan Management Review, 34, pp.35~46 (1993)
- Escudero, L. F, "On solving stochastic production planning problems via scenario modeling", TOP, 3(1), pp.69~95 (1995)
- Güngör, Z, "A fuzzy AHP approach to personnel selection problem", Applied Soft Computing, 9, pp.641~646 (2009)
- Inuiguchi, M, "A possibilistic linear programming program in equivalent to a stochastic linear program in special case", Fuzzy Sets and Systems, 76, 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)
- Kabak, O, "Possibilistic linear-programming approach for supply chain networking decisions", European Journal of Operational Research, 209, pp.253~264 (2011)
- Karabuk, S, "Production planning under uncertainty in textile manufacturing", Journal of the Operational Research Society, 59(4), pp.510~520 (2008)
- Lee, A. R, "Application of modified fuzzy AHP method to analyze bolting sequence of structural joints" (1999), UMI Dissertation Services, A Bell & Howell Company
- Leung, S. C. H, "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
- Pan, N.-F, "Fuzzy AHP approach for selecting the suitable bridge construction method", Automation in Construction, 17, pp.958~965 (2008)
- Peidro, D, "Quantitative models for supply chain planning under uncertainty: a review", International Journal of Advanced Manufacturing Technology, 43, pp.400~420 (2009)
- Pishvaee, M. S, "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)
- Sen, S, "An introductory tutorial on stochastic linear programming models", Interfaces, 29(2), pp.33~61 (1999)
- 신현준, "시나리오 모델을 활용한 수요 및 가격 불확실성이 존재하는 TFT-LCD 산업에서의 Robust 생산 및 수송계획", 한국산학기술학회논문지, 11(9), pp.3304~3310 (2010), 한국산학기술학회
- Torabi, S. A, "Multi-site production planning integrating procurement and distribution plans in multi-echelon supply chains: an interactive fuzzy goal programming approach", International Journal of Production Research, 47(19), pp.5475~5499 (2009)
- Vahidnia, M, "Hospital site selection using fuzzy AHP and its derivatives", Journal of Environmental Management, 90, pp.3048~3056 (2009)
- Wang, J. T, "Fuzzy decision modelling for supply chain management", Fuzzy Sets and Systems, 150, pp.107~127 (2005)
- 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, H. J, "Description and optimization of fuzzy systems", International Journal of General Systems, 2(4), pp.209~215 (1976)
- Zimmermann, H. J, "Fuzzy programming and linear programming with several objective functions", Fuzzy Sets and Systems, 1, pp.45~55 (1978)