Supply chain performance appraisement, benchmarking and decision-making: empirical study using grey theory and grey-MOORA

Santosh Kumar Sahu, Saurav Datta, Saroj Kumar Patel and Siba Sankar Mahapatra

International Journal of Process Management and Benchmarking, 2013, vol. 3, issue 3, 233-289

Abstract: Present work aims to develop efficient decision-support systems to facilitate supply chain performance appraisement, benchmarking and related decision-making. Supply chain performance extent depends on multiple criteria/attributes. Most of the criterions/attributes being intangible in nature; supply chain performance appraisement relies on the judgement (evaluation) of the decision-makers. Moreover, quantitative appraisement of supply chain performance appears very difficult due to involvement of ill-defined (vague) performance measures as well as metrics. In order to overcome this, the study explores theory of grey numbers in order to tackle incomplete and inconsistent subjective judgement of the decision-makers. Firstly, a grey-based decision support system has been postulated to evaluate a unique performance index of a supply chain; to identify ill-performing areas and to benchmark performance of candidate enterprises possessing similar supply chain architecture. Finally, grey-MOORA approach has been inculcated to provide a strong mathematic base of the said performance appraisement platform. Empirical data have been analysed and results obtained thereof, have been reported to exhibit application potential of the decision-support systems in appropriate situation.

Keywords: decision support systems; DSS; supply chain performance; performance appraisement; benchmarking; theory of grey numbers; grey-MOORA; multi-objective optimisation by ratio analysis; supply chain management; SCM. (search for similar items in EconPapers)
Date: 2013
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