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Appraisements of material handling system in context of fiscal and environment extent: A comparative grey statistical analysis

Anoop Kumar Sahu (Department of Mechanical Engineering, J.K.I.E., Bilaspur, India)
Atul Kumar Sahu (Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India)
Nitin Kumar Sahu (Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 13 February 2017

Abstract

Purpose

In present research, the authors conducted the massive literature review and collected the information, in regards to material handling system (MHS) to build a multi criteria MHS hierarchical module consists of ecological cum fiscal criteria. Moreover, similar literature review assisted the authors to resolve and eventually construct the effectual and robust approach. The purpose of this paper is to facilitate the managers for benchmarking the MHS alternatives operating under similar module via robust decision support system (DSS).

Design/methodology/approach

In present research, the proposed module dealt with ecological (subjective) and fiscal (objective) criteria, where subjective criteria associated with incompleteness, vagueness, imprecision, as well as inconsistency, solicited the discrete information in terms of Grey set via linguistic scale from experts panel. The objective information (capital) has been assigned by expert’s panel in terms of Grey set. To robustly evaluate and select the admirable MHS, three approaches named: degree of possibility, technique for order preference similar to ideal solution as well as Grey relational analysis fruitfully applied to connect and unite discrete information.

Findings

The performance evaluation of MHSs has been carried out under concert of individual fiscal criteria excluding ecological criteria in past researches. Moreover the previous developed DSS tackled sole approach under individual fiscal criteria. The authors found the broad applications of fuzzy sets except Grey set theory in the same context for measuring the performance of MHS alternatives. Aforesaid research gaps have been transformed into research objectives by incorporating the module for both fiscal cum ecological criteria. This research embraces a robust DSS, which has been explored to select the admirable MHS alternative.

Originality/value

An empirical case study has been carried out in order to demonstrate the legitimacy of holistic Grey-MCDM method, implemented over multi criteria MHS hierarchical module. Proposed DSS seems to be the best for organisations, which believe to appraise and select the MHS including fiscal as well as ecological criteria excluding individual fiscal criteria. Moreover, subjective cum objective or individual subjective or objective criteria can be extended with respect to varieties of MHSs.

Keywords

Citation

Sahu, A.K., Sahu, A.K. and Sahu, N.K. (2017), "Appraisements of material handling system in context of fiscal and environment extent: A comparative grey statistical analysis", The International Journal of Logistics Management, Vol. 28 No. 1, pp. 2-28. https://doi.org/10.1108/IJLM-09-2015-0163

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited