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      KCI등재 SCOPUS

      Multi-Dependent Criteria Supplier Selection with Uncertain Performance Evaluation

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      https://www.riss.kr/link?id=A105579060

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      다국어 초록 (Multilingual Abstract)

      Nowadays businesses tend to compete with rivals by improving capability to meet customer demands. One of the key to improve logistics efficiency of a firm is to select appropriate supplier. In the past, to select the most suitable supplier, most people evaluated performance by using average performance or variance from historical data but did not mentioned skewness. In other words, skewness impact on supplier performance is ignored by researchers and buyers. In fact, supplier with greatest average performance does not confirm to be the most suitable one because of uncertainties which make its performance skew either to the left or right, i.e., lower or higher than expectation. Therefore, this empirical study aims to discover and determine the important role of skewness on supplier selection problem. After identifying influential criteria on supplier selection, we analyze skewness effect on suppliers’ performance in each criterion by surveying real data of suppliers’ performances. Skewness effect can be rated in 3 levels; no effect, moderately effect, and highly effect. The results show that, there is only one criterion with no skewness effect, which is price. Criteria which have high skewed performance, for both of medium-sized and large-sized buyers, are lead time, product quality and reliability, and on-time delivery. Also, skewness has higher effect on suppliers’ performance of medium-sized buyers than large-sized buyers. The conclusion surprisingly shows that, skewness is the best index to distinguish between good and bad suppliers, while mean is the worst index.
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      Nowadays businesses tend to compete with rivals by improving capability to meet customer demands. One of the key to improve logistics efficiency of a firm is to select appropriate supplier. In the past, to select the most suitable supplier, most peopl...

      Nowadays businesses tend to compete with rivals by improving capability to meet customer demands. One of the key to improve logistics efficiency of a firm is to select appropriate supplier. In the past, to select the most suitable supplier, most people evaluated performance by using average performance or variance from historical data but did not mentioned skewness. In other words, skewness impact on supplier performance is ignored by researchers and buyers. In fact, supplier with greatest average performance does not confirm to be the most suitable one because of uncertainties which make its performance skew either to the left or right, i.e., lower or higher than expectation. Therefore, this empirical study aims to discover and determine the important role of skewness on supplier selection problem. After identifying influential criteria on supplier selection, we analyze skewness effect on suppliers’ performance in each criterion by surveying real data of suppliers’ performances. Skewness effect can be rated in 3 levels; no effect, moderately effect, and highly effect. The results show that, there is only one criterion with no skewness effect, which is price. Criteria which have high skewed performance, for both of medium-sized and large-sized buyers, are lead time, product quality and reliability, and on-time delivery. Also, skewness has higher effect on suppliers’ performance of medium-sized buyers than large-sized buyers. The conclusion surprisingly shows that, skewness is the best index to distinguish between good and bad suppliers, while mean is the worst index.

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      목차 (Table of Contents)

      • ABSTRACT
      • 1. Introduction
      • 2. Literature review
      • 3. Research methodology
      • 4. Result analysis
      • ABSTRACT
      • 1. Introduction
      • 2. Literature review
      • 3. Research methodology
      • 4. Result analysis
      • 5. Discussions and implications
      • 6. Conclusions and further study
      • References
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      참고문헌 (Reference)

      1 Weber, C. A., "Vendor selection criteria and methods" 50 : 2-18, 1991

      2 Jian, L., "Using data envelopment analysis to compare suppliers for supplier selection and performance improvement" 5 : 143-150, 2000

      3 Ehsan Eshtehardian, "Using ANP and AHP for the Supplier Selection in the Construction and Civil Engineering Companies; Case Study of Iranian Company" 대한토목학회 17 (17): 262-270, 2013

      4 Ghodsypour, S. H., "The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint" 73 : 15-27, 2001

      5 Fletcher, J., "The mean-variance efficiency of benchmark portfolios: UK evidence" 18 : 673-685, 1994

      6 Saaty, T. L., "The Analytic Hierarchy Process" McGraw-Hill 1980

      7 Katsikeas, C. S., "Supply source selection criteria: The impact of supplier performance on distributor performance" 33 : 755-764, 2004

      8 Mafakheri, F., "Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approache" 132 : 52-57, 2011

      9 Chen, Y. H., "Supplier selection using consistency fuzzy preference relations" 39 : 3233-3240, 2012

      10 Bhattacharya, A., "Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment" 10 : 1013-1027, 2010

      1 Weber, C. A., "Vendor selection criteria and methods" 50 : 2-18, 1991

      2 Jian, L., "Using data envelopment analysis to compare suppliers for supplier selection and performance improvement" 5 : 143-150, 2000

      3 Ehsan Eshtehardian, "Using ANP and AHP for the Supplier Selection in the Construction and Civil Engineering Companies; Case Study of Iranian Company" 대한토목학회 17 (17): 262-270, 2013

      4 Ghodsypour, S. H., "The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint" 73 : 15-27, 2001

      5 Fletcher, J., "The mean-variance efficiency of benchmark portfolios: UK evidence" 18 : 673-685, 1994

      6 Saaty, T. L., "The Analytic Hierarchy Process" McGraw-Hill 1980

      7 Katsikeas, C. S., "Supply source selection criteria: The impact of supplier performance on distributor performance" 33 : 755-764, 2004

      8 Mafakheri, F., "Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approache" 132 : 52-57, 2011

      9 Chen, Y. H., "Supplier selection using consistency fuzzy preference relations" 39 : 3233-3240, 2012

      10 Bhattacharya, A., "Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment" 10 : 1013-1027, 2010

      11 Aksoy, A., "Supplier selection and performance evaluation in just-in-time production environments" 38 : 6351-6359, 2011

      12 Aissaoui, N., "Supplier selection and order lot sizing modeling: A review" 34 : 3516-3540, 2007

      13 Nelson O. N., "Supplier selection and management strategies and manufacturing flexibility" 18 : 330-349, 2005

      14 Kannan, V. R., "Supplier selection and assessment: Their impact on business performance" 38 : 11-21, 2002

      15 Dargi, A., "Supplier Selection: A fuzzy-ANP Approach" 31 (31): 691-700, 2014

      16 Ellram, L. M., "Strategic purchasing: A history and review of the literature" 30 : 10-18, 1994

      17 Li, X., "Selection of suppliers of vehicle components based on green supply chain" 1588-1591, 2009

      18 Jharkharia, S., "Selection of logistics service provider: An analytic network process (ANP) approach" 35 : 274-289, 2007

      19 Yan, G., "Research on green suppliers’ evaluation based on AHP and genetic algorithm" 615-619, 2009

      20 Bulmer, M. G., "Principles of Statistics" Dover 1979

      21 Markowitz, H., "Portfolio selection" 7 : 77-91, 1952

      22 Joro, T., "Portfolio performance evaluation in a mean–variance–skewness framework" 175 : 446-461, 2006

      23 De Boer, L., "Outranking methods in support of supplier selection" 4 : 109-118, 1998

      24 Chiu, M. C., "Mean–variance portfolio selection of cointegrated assets" 35 : 1369-1385, 2011

      25 Castellano, R., "Mean–variance portfolio selection in presence of infrequently traded stocks" 234 : 442-449, 2014

      26 Huang, X., "Mean–variance models for portfolio selection subject to experts’ estimations" 39 : 5887-5893, 2012

      27 Humphreys, P., "Integrating design metrics within the early supplier selection process" 13 : 42-52, 2007

      28 Saaty, T. L., "Fundamentals of the Analytic Network Process" 1-14, 1999

      29 Bevilacqua, M., "From traditional purchasing to supplier management: A fuzzy logic-based approach to supplier selection" 5 : 235-255, 2002

      30 Hozo, S. P., "Estimating the mean and variance from the median, range, and the size of a sample" 5 : 13-, 2005

      31 Weber, C. A., "Determination of paths to vendor market efficiency using parallel coordinates representation: A negotiation tool for buyers" 90 : 142-155, 1996

      32 Luzzini, D., "Designing vendor evaluation systems: An empirical analysis" 20 : 113-129, 2014

      33 Chiou, C. Y., "Comparative investigation on green supplier selection of the American, Japanese and Taiwanese electronics industry in China" 1909-1914, 2008

      34 Chai, J., "Application of decision-making techniques in supplier selection: A systematic review of literature" 40 : 3872-3885, 2013

      35 Gencer, C., "Analytic network process in supplier selection: A case study in an electronic firm" 31 : 2475-2486, 2007

      36 Dickson, G. W., "Analysis of vendor selection systems and decisions" 2 : 5-17, 1966

      37 Choy, K. L., "An intelligent supplier management tool for benchmarking suppliers in outcome manufacturing" 22 : 213-224, 2002

      38 Xiao, Z., "An integrated FCM and fuzzy soft set for supplier selection problem based on risk evaluation" 36 : 1444-1454, 2012

      39 Verma, R., "An analysis of the supplier selection process" 26 : 739-750, 1998

      40 Aragonés-Beltrán, P., "An ANP-based approach for the selection of photovoltaic solar power plant investment projects" 14 : 249-264, 2010

      41 Cakravastia, A., "A two-stage model for the design of supply chain networks" 80 : 231-248, 2002

      42 Albino, V., "A neural network application to subcontractor rating in construction firms" 16 : 9-14, 1998

      43 Chen, P. S., "A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study" 66 : 634-642, 2013

      44 Lee, A. H. I., "A green supplier selection model for high-tech industry" 36 : 7917-7927, 2009

      45 Ghodsypour, S. H., "A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming" 56-57 (56-57): 199-212, 1998

      46 Weber, C. A., "A data envelopment analysis approach to measuring vendor performance" 1 : 28-39, 1996

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2025 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2022-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-05-17 학술지명변경 한글명 : Journal of Intl Logistics and Trade -> Journal of International Logistics and Trade KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2009-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2008-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.23 0.23 0.29
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.28 0.24 0.542 0.15
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