공급 리스크를 고려한 공급자 선정의 다단계 의사결정 모형
A Multi-Phase Decision Making Model for Supplier Selection Under Supply Risks
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an “if-then” rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers’ general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier’s performance and eventually influence buyer’s production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.
Abstract
Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an “if-then” rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers’ general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier’s performance and eventually influence buyer’s production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.
참고문헌 (34)
- Amin, S. H., "Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming", Expert Systems with Applications, 38(1), pp.334~342 (2011)
- Cavusgil, S.T., "Exogenous risk analysis in global supplier networks : Conceptualization and field research findings", Information Knowledge Systems Management, 11(1-2), pp.131~149 (2012)
- Chai, J., "Application of decision-making techniques in supplier selection : A systematic review of literature", Expert Systems with Applications, 40(10), pp.3872~3885 (2013)
- Chai, J., "A new rule-based SIR approach to supplier selection under intuitionistic fuzzy environments", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20(3), pp.451~471 (2012)
- Chen, Y. J., "Structured methodology for supplier selection and evaluation in a supply chain", Information Sciences, 181(9), pp.1651~1670 (2011)
- Chopra, S., "Supply chain management :strategy, planning, and operation" (2009), Pearson
- Christopher, M., "Approaches to managing global sourcing risk", Supply Chain Management : An International Journal, 16(2), pp.67~81 (2011)
- Deng, X., "Supplier selection using AHP methodology extended by D numbers", Expert Systems with Applications, 41(1), pp.156~167 (2014)
- Deng, Y., "A new fuzzy dempster MCDM method and its application in supplier selection", Expert Systems with Applications, 38(8), pp.9854~9861 (2011)
- Dursun, M., "A QFD-based fuzzy MCDM approach for supplier selection", Applied Mathematical Modelling, 37(8), pp.5864~5875 (2013)
- Ferreira, L., "A fuzzy-Bayesian model for supplier selection", Expert Systems with Applications, 39(9), pp.7834~7844 (2012)
- Golmohammadi, D., "Developing a grey-based decision-making model for supplier selection", International Journal of Production Economics, 137(2), pp.191~200 (2012)
- 하정훈, "몬테카를로 DEA를 이용한 불확실성을 고려한 효율적 공급자 선정", 산업경영시스템학회지, 38(1), pp.83~89 (2015), 한국산업경영시스템학회
- Hammami, R., "A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts", European Journal of Operational Research, 233(1), pp.159~170 (2014)
- Ho, W., "Multi-criteria decision making approaches for supplier evaluation and selection : A literature review", European Journal of Operational research, 202(1), pp.16~24 (2010)
- Hosseini, S., "A bayesian network model for resilience-based supplier selection", International Journal of Production Economics, 180, pp.68~87 (2016)
- Jadidi, O., "A new normalized goal programming model for multi-objective problems : A case of supplier selection and order allocation", International Journal of Production Economics, 148, pp.158~165 (2014)
- Kumar, A., "A comprehensive environment friendly approach for supplier selection", Omega, 42(1), pp.109~123 (2014)
- Kuo, R.J., "Supplier selection using analytic network process and data envelopment analysis", International Journal of Production Research, 50(11), pp.2852~2863 (2012)
- Lee, A.H.I., "An integrated model for lot sizing with supplier selection and quantity discounts", Applied Mathematical Modelling, 37(7), pp.4733~4746
- Lin, R. H., "An integrated model for supplier selection under a fuzzy situation", International Journal of Production Economics, 138(1), pp.55~61 (2012)
- Shunichi Ohmori, "A Framework of Managing Supply Chain Disruption Risks Using Network Reliability", Industrial Engineering & Management Systems, 12(2), pp.103~111 (2013), 대한산업공학회[DOI]
- Omurca, S. I., "An intelligent supplier evaluation, selection and development system", Applied Soft Computing, 13(1), pp.690~697 (2013)
- Prasanna Venkatesan, S., "Multi-objective supplier selection and order allocation under disruption risk", Transportation Research Part E : Logistics and Transportation Review, 95, pp.124~142 (2016)
- Ravindran, A. R., "Risk adjusted multicriteria supplier selection models with applications", International Journal of Production Research, 48(2), pp.405~424 (2010)
- Roostaee, R., "A multi-criteria intuitionistic fuzzy group decision making method for supplier selection with VIKOR method", International Journal of Fuzzy System Applications, 2(1), pp.1~17 (2012)
- Ruiz-Torres, A. J., "Supplier selection model with contingency planning for supplier failures", Computers & Industrial Engineering, 66(2), pp.374~382 (2013)
- Sawik, T., "Joint supplier selection and scheduling of customer order under disruption risks : Single vs. dual sourcing", Omega, 43, pp.83~95 (2014)
- Shaw, K., "Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain", Expert Systems with Applications, 39(9), pp.8182~8192 (2012)
- Tang, O., "Identifying risk issues and research advancements in supply chain risk management", International Journal of Production Economics, 133(1), pp.25~34 (2011)
- Vahdani, B., "A locally linear neuro-fuzzy model for supplier selection in cosmetics industry", Applied Mathematical Modelling, 36(10), pp.4714~4727 (2012)
- Ware, N. R., "A mixed-integer non-linear program to model dynamic supplier selection problem", Expert Systems with Applications, 41(2), pp.671~678 (2014)
- Wetzstein, A., "A systematic assessment of supplier selection literature-state-of-the-art and future scope", International Journal of Production Economics, 182, pp.304~323 (2016)
- Yucel, A., "A weighted additive fuzzy programming approach for multi-criteria supplier selection", Expert Systems with Applications, 38(5), pp.6281~6286 (2011)