Appraisal of Partner Enterprises under GTFNS Environment

Abstract

In present research, a Multi-Criterion Decision Making (MCDM) appraisement index/module/framework is conceptualized from the resource of literature survey in extent of agile strategy of Supply Chain Management (SCM). The vagueness, impreciseness as well as inconsistency associated in measures and their metrics (sub-measures) is considered in the presented work and the assessment of the experts panel is acquired ‘described subjectively' in linguistic terms and transformed into Generalized Trapezoidal Fuzzy Number set (GTFNs). Thus, a fuzzy performance index model has been introduced in purpose to evaluate an Overall Fuzzy Performance Index (OFPI) and also to identify the barriers/ill-strong measures. The novelty of exposed research exists in evaluation period of OFPI. In preview researches, it was indeed imperative to assign the appropriateness ratings as well as priority weights for second level metrics (sub-measures) and priority weights individual 1st level measures for evaluating the OFPI under 2nd level hierarchy of SC. The present research compensates this research gap and the authors developed a model pertaining to MCDM, which answered towards said dilemma. The OFPI has been evaluated by availing same data excluding priority weights of individual 1st level measures. Furthermore, a revised ranking approach accompanied with fuzzy performance important index has fruitfully been implemented to identify the barriers/ill-strong measures.

Performance modeling and benchmarking of green supply chain management

“…Here U ijk is the aggregated fuzzy appropriateness rating and w ijk is the aggregated fuzzy importance weight. Sahu et al (2016b) implemented a revised ranking approach FPII is calculated by considering the transformation [(1, 1, 1; w ijk )−w ijk ] because if we calculate FPII directly by considering aggregated priority weights, in that case the priority weights (w ijk ) will neutralize the performance ratings in computing FPII, i.e. low performance rating with high priority importance will balance the computed score.…”

Green supply chain management assessment under chains of uncertain indices

“…Fuzzy MCDM theory can reinforce the decision-making process and is required to be implemented for seeking solutions under complex multiattribute problems dealing with fuzzy environment (Shen et al, 2013;Sahu et al, 2016a; Green supply chain management assessment Tadi c et al, 2014;Yazdani et al, 2017). A fuzzy based approach can be used as solution method to capture inherent uncertainties (Yilmaz and Selim, 2016;Sahu et al, 2016b). Significant supporting operators are also developed by the class of researchers; in relation to solve the fuzzy multiple attribute decision-making problem for disseminating the decisionmaking process (Wei et al, 2017a(Wei et al, , 2017cLu et al, 2017aLu et al, , 2017bWei, 2017b).…”

Agile manufacturing: a systematic review of literature and implications for future research

“…et al, 2006;Sarkis et al, 2007;Hasan et al, 2012), TOPSIS (Mishra et al, 2013;Sahu et al, 2016a), ISM (Hasan, Shankar, Sarkis, Suhail and Asif, 2009;Chang et al, 2013;Sindhwani and Malhotra, 2016b) are used by various researchers on different topics like manufacturing agility improvement, for exploring relationships among various criteria, to develop agility measurement tool, supplier selection, etc. Fuzzy evaluation method has been taken into consideration by different researchers (Mishra et al, 2015;Sahu et al, 2016b) for comparison of performance, development of agility index and the assessment of manufacturing agility. Multi-agent system is an intelligent system, which has the capabilities to meet the characteristics such as modifiable, extensible, reconfigurable, adaptable and fault tolerant, and this gives an effective way to calculate the agile scheduling.…”