2013
DOI: 10.1108/14635771311299524
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A fuzzy AHP approach for inbound supply risk assessment

Abstract: PurposeThe purpose of this paper is to provide a methodology for assessing supply risk for a product category. The fuzzy based analytic hierarchy process (Fuzzy AHP) has been used for the purpose. The technique is used to determine the supply related risk and its potential impact on the buyer organization.Design/methodology/approachThe research uses case analysis approach to understand the supply related risks and then applying fuzzy AHP for prioritization of the same.FindingsThe result of the case example ind… Show more

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Cited by 72 publications
(42 citation statements)
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“…Other authors also use the perfect order metric in the evaluation of productivity by analysing the performance from the perspective of the customers while also reviewing the resources invested to complete the order, meaning that they include the assessment of the adequacy of the costs associated with the delivery in the evaluation (Eckert, 2007;Ganguly & Guin, 2013) or the minimum asset levels required (Lorentz at al., 2012). Sometimes the evaluation also takes into consideration achievement of the company's strategic goals.…”
Section: The Perfect Order Conceptmentioning
confidence: 99%
“…Other authors also use the perfect order metric in the evaluation of productivity by analysing the performance from the perspective of the customers while also reviewing the resources invested to complete the order, meaning that they include the assessment of the adequacy of the costs associated with the delivery in the evaluation (Eckert, 2007;Ganguly & Guin, 2013) or the minimum asset levels required (Lorentz at al., 2012). Sometimes the evaluation also takes into consideration achievement of the company's strategic goals.…”
Section: The Perfect Order Conceptmentioning
confidence: 99%
“…Finally, the relative weights were calculated and indicated by normalizing the lowest degree of possibility value. More details can be found in [33]- [36]. Finally, the Consistency Ratio (C.R.)…”
Section: Calculate the Relative Weightsmentioning
confidence: 99%
“…One of the more frequently used modelling tools has been fuzzy-logic-based methods due to their appropriateness to address uncertainty and subjectivity in decision-making processes [24]. FIS and/or fuzzy-AHP analysis have been used to rank water quality indicators [24], aid in environmental management decision-making [25,26], assess the quality and sustainability of supply chains [27][28][29][30], evaluate manufacturing processes [31], manage investment portfolios [32], provide the appropriate healthcare services for senior citizens [33], optimize the liquefied natural gas importation in Korea [34], optimize robot path selections of mobile robots [35], optimize joint distribution alliance partnerships [36], assess emerging three-dimensional integrated circuit technologies [37], assess potassium saturation of calcareous soils [38], evaluate the land suitability for a multitude of purposes [39], evaluate barriers of corporate social responsibility [40], and aid a multitude of other decision-making processes. Concerning the risks of technology transfer, fuzzy analysis was used to aid technology-based decisions for information technology organizations competing in global markets [41] and in transferring biotechnology [42].…”
Section: Existing Literaturementioning
confidence: 99%