Supplier selection in resilient supply chains: a grey relational analysis approach

Rajesh, R.; Ravi, Vadlamani

doi:10.1016/j.jclepro.2014.08.054

Cited by 362 publications

(228 citation statements)

References 122 publications

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“…In recent years, many researchers have emphasized the need for supply chain management in the construction process due to the increased complexity and size in construction projects [1]. Efficient construction supply chain management has the ability to improve the performance of a project and reduce waste caused by inefficient materials management and control [2].…”

Section: Introductionmentioning

confidence: 99%

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

et al. 2017

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Construction supply chain management is a unique and problematic issue within the construction industry due to its inevitable external risks and variations. The resilience capability of a supplier is of significance in supplier selection; a supplier selected in the context of a resilient construction supply chain (RCSC) is referred to in this research as a "resilient construction supplier". This paper proposes a supplier selection framework tailored to effective information integration for supply chain management. The proposed framework works by integrating building information modeling (BIM) and a geographic information system (GIS) in a RCSC. BIM and GIS together provide highly transparent construction material information, enhanced supply chain status visualization, and workable access information for supplier selection. Supplier performance is evaluated via seventeen resilient criteria under a combined methodology consisting of the analytic hierarchy process (AHP) and grey relational analysis (GRA); AHP and GRA weigh the criteria and rank the suppliers respectively. By varying the weightings given to each criterion, sensitivity analysis was conducted to identify the criteria of resilience which impact the selection priorities of suppliers. An illustrative example is also provided to show the overall process of the proposed framework.

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Section: Introductionmentioning

confidence: 99%

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

et al. 2017

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“…Several MADM techniques have been proposed for the SSE problem: analytic hierarchy process (AHP) [34][35][36], analytic network process (ANP) [34], complex proportional assessment (COPRAS) [36][37][38], data envelopment analysis (DEA) [36,[39][40][41], elimination et choix traduisant la realité (ELECTRE) [42,43], preference ranking organization method for enrichment of evaluations (PROMETHEE) [44], technique for order of preference by similarity to ideal solution (TOPSIS) [45][46][47][48][49], visekriterijumska optimizacija i kompromisno resenje (VIKOR) [50,51], decision-making trial and evaluation laboratory (DEMATEL) [52,53], multi-objective optimisation by ratio analysis (MOORA) [54], case based reasoning (CBR) [55], fuzzy inference systems [56,57], genetic algorithm (GA) [58], mathematical and goal programming (MP) [59], simple multi-attribute rating technique (SMART) [60], and their hybrids, among others. In those MADM techniques, the supplier qualification is set according to the valuation given to different relevant factors (qualitative and quantitative) in the evaluation process.…”

Section: Main Methodologies and Factors Used In Sse Modelsmentioning

confidence: 99%

“…In those MADM techniques, the supplier qualification is set according to the valuation given to different relevant factors (qualitative and quantitative) in the evaluation process. On many occasions, fuzzy versions of these MADM methods have been developed to manage the uncertainty and subjective nature of some of the qualitative factors to rate more efficiently [1,35,61,62].…”

Section: Main Methodologies and Factors Used In Sse Modelsmentioning

confidence: 99%

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

et al. 2018

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This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement literature and allows to compare two evaluation methods: a factor weighting method (WM) and a fuzzy inference system (FIS). By consulting an expert panel and using a two-tuples symbolic translation system, strong fuzzy partitions for all model variables are built. The method, based on central symmetry, permits to obtain the fuzzy label borders from their cores, which have been previously agreed among experts. The system also allows to agree the fuzzy rules to embed in the FIS. The results show the FIS method's superiority as it allows to better manage the non-linear behavior and the uncertainty inherent to the supplier evaluation process.

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“…For example, the existing evaluation system draws much attention on parts rather than a comprehensive analysis; the evaluation target is sometimes mistaken and becomes distant from the purpose of improving education ability; the evaluation process is unclear, failing to deal with fuzzy information or resulting in improper integration of qualitative and quantitative evaluation. Therefore, this paper draws merits from previous studies with the intention of improving education ability, and proposes an improved grey clustering analysis method [11][12][13] for evaluating performance of university teachers, so as to provide guidance and support for improving teaching modes in higher education.…”

Section: Introductionmentioning

confidence: 99%

Research on the Performance Evaluation Model of Higher Education Teachers Based on the Improved Grey Clustering Analysis Method

Li¹,

Wang²

2015

Int. J. Emerg. Technol. Learn.

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Abstract-Effective performance evaluation of university teachers is supposed to guide teaching behaviors and teaching modes as well as improve teaching quality of higher education. In response to the complexity of performance evaluation of university teachers, this thesis proposes a performance evaluation model based on the improved grey clustering analysis method. Firstly, an index model for evaluating performance of university teachers is established with confirmed layers and index sets. Secondly, performance evaluation grades are given out and whitenization weight functions of grey clustering under different performance grades are established. Based on the standardization of index model, and taking weight into consideration, this thesis provides an improved grey clustering analysis method for performance evaluation of university teachers. Last but not the least, the model is verified through case study to prove its efficacy and availability, which lays a sound support for improving higher education.

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Supplier selection in resilient supply chains: a grey relational analysis approach

Cited by 362 publications

References 122 publications

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

Research on the Performance Evaluation Model of Higher Education Teachers Based on the Improved Grey Clustering Analysis Method

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