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Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain

Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain

Anoop Kumar Sahu, Atul Kumar Sahu, Nitin Kumar Sahu
Copyright: © 2016 |Volume: 8 |Issue: 3 |Pages: 19
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466690547|DOI: 10.4018/IJDSST.2016070101
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MLA

Sahu, Anoop Kumar, et al. "Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain." IJDSST vol.8, no.3 2016: pp.1-19. http://doi.org/10.4018/IJDSST.2016070101

APA

Sahu, A. K., Sahu, A. K., & Sahu, N. K. (2016). Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain. International Journal of Decision Support System Technology (IJDSST), 8(3), 1-19. http://doi.org/10.4018/IJDSST.2016070101

Chicago

Sahu, Anoop Kumar, Atul Kumar Sahu, and Nitin Kumar Sahu. "Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain," International Journal of Decision Support System Technology (IJDSST) 8, no.3: 1-19. http://doi.org/10.4018/IJDSST.2016070101

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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.

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