A Multi‐Criteria Group Decisionmaking Model for Supplier Rating

Muralidharan, C.; Anantharaman, N.; Deshmukh, S.G.

doi:10.1111/j.1745-493x.2002.tb00140.x

Cited by 269 publications

(130 citation statements)

References 56 publications

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“…Another technique relies on converting selection criteria to cost units based on a pricing of various activities, to produce a single, total cost [12]. Finally, the AHP (analytic hierarchy process) technique enables decision makers to use comparative quality assessments instead of qualitative indicators based on precise weight calculations [13].…”

Section: Review Of Supplier Selection Methodsmentioning

confidence: 99%

Off-Line and User-Oriented Approach for Supplier Selection in Dynamic Environment: A Case Study in the Healthcare Services

Moalem¹,

Herbon²,

Shnaiderman³

et al. 2010

JSSM

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Section: Review Of Supplier Selection Methodsmentioning

confidence: 99%

Off-Line and User-Oriented Approach for Supplier Selection in Dynamic Environment: A Case Study in the Healthcare Services

Moalem¹,

Herbon²,

Shnaiderman³

et al. 2010

JSSM

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show abstract

“…Quality of material [6,21, Price of material [6,21,[26][27][28][29][30][31][33][34][35][36][37][38][39][40][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56] Certification of products [26,31,40,42,44,50,52,57] Delivery time [21,[26][27][28][29][30][31][33][34][35][36]…”

Section: Criteria Referencesmentioning

confidence: 99%

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

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Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches.

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“…The AHP is designed to represent complex models in a hierarchical structure. Additionally, the AHP is able to handle both quantitative and qualitative attributes [28]. Therefore, the scoring system uses a two-staged AHP.…”

Section: Assessment Of Non-economic Factorsmentioning

confidence: 99%

Practical Approach for Pavement Treatment Decisions for Local Agencies

Abdelaty¹,

Jeong²,

Smadi³

2017

Journal of Construction Engineering and Project Management

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Most local agencies such as counties and small cities continuously express difficulties in making technically and financially defensible decisions on their pavement infrastructure maintenance and rehabilitation. Unlike pavement systems managed by state highway agencies, the total lane-miles of many local pavements are significantly short and they are managed by a limited number of staff who typically have multiple responsibilities. Most local agencies also do not have historical pavement performance data and the lack of a systematic decision making framework exacerbates the problem. A structured framework and an easily accessible decision support tool that reflects their local requirements, practices and operational conditions would greatly assist them in making consistent and defensible decisions. This study fills this gap by developing a systematic pavement treatment selection framework and a spreadsheet based tool for local agencies. It is expected that the proposed framework will significantly help local agencies to improve their pavement asset management practices at the project level.

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A Multi‐Criteria Group Decisionmaking Model for Supplier Rating

Cited by 269 publications

References 56 publications

Off-Line and User-Oriented Approach for Supplier Selection in Dynamic Environment: A Case Study in the Healthcare Services

Off-Line and User-Oriented Approach for Supplier Selection in Dynamic Environment: A Case Study in the Healthcare Services

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

Practical Approach for Pavement Treatment Decisions for Local Agencies

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