A DEMATEL-MABAC-based approach for grading and evaluation of jute fibers

Abstract

Purpose Due to several unique characteristics, such as high tensile strength, low extensibility, high frictional resistance, biodegradability, eco-friendliness and cheapness, Jute ranks second just after cotton with respect to its worldwide consumption and production. To overcome the difficulties of the existing Jute grading procedure, this paper aims to focus on the application of decision-making trial and evaluation laboratory (DEMATEL) and multi-attributive border approximation area comparison (MABAC) methods for evaluation of 10 Tossa Jute fiber lots based on strength, defects, root content, color, fineness and bulk density properties. Design/methodology/approach The DEMATEL method divides all the six physical properties of Jute fiber into cause and effect groups. The most influencing property is also identified. On the other hand, the considered Jute fiber lots are ranked using MABAC method along with the identification of the strengths and weaknesses of each of them. Findings This combined approach would provide a more scientific and realistic way of Jute grading and evaluation based on various properties of the considered Jute fiber lots. The positions of the superior and the inferior Jute lots perfectly match with those as identified by the earlier researchers. Originality/value It is concluded that the adopted combined decision-making tool can be effectively applied for grading and evaluation of other natural fibers with diverse heterogeneous physical properties.

Decision-making framework for supplier selection using an integrated MCDM approach in a lean-agile-resilient-green environment: evidence from Indian automotive sector

“…It is probed that the decision making based on customized designs, reliable tools, vigorous techniques, strategic provisions are crucial and their integration may lead in assuming reliable results (Yazdani et al, 2017;Luthra and Mangla, 2018;Sharma et al, 2021a). Accordingly, the present study has gripped the boundaries of AHP (Awasthi et al, 2018;Celik and Akyuz, 2018), DEMATEL (Agarwal et al, 2020;Sen et al, 2021), ANP (Abdel-Baset et al, 2019;Nimawat and Gidwani, 2021), Extended MOORA (Arabsheybani et al, 2018;Zolfaghari and Mousavi, 2021) and SAW (Piasecki et al, 2019;Sahu et al, 2019) techniques to define the integral form of these universally valued decision-making techniques treasured by the quality researchers. It is found that DEMATEL can define the cause and effect relationship amongst elementary metrics with ease computation rather than obliging hierarchical or network relationship and accordingly DEMATEL is used in this study to ease disclose the causal relationships among LARG metrics and to assist in understanding the crucial ones.…”

“…A.2. Deployment of DEMATEL "Decision-Making Trial and Evaluation Laboratory technique" directly computes the interaction relationship among variables (G€ olc€ uk and Baykaso glu, 2016; Agarwal et al, 2020). It converts complex system into cause and effective relationship (Sen et al, 2021).…”

A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity

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Modelling human resource dimension of international project risk management

“…Usually, employees are treated equally but in a culturally appropriate manner (Sonja, 2001). Poor HRM is one of the most significant universal delay factors in international project execution (Zidane and Andersen, 2018). Globalization demands HR professionals to take a proactive role in the project's success.…”

“…Employee strikes may halt the functioning of several functional departments of the project. International PRM is a continuous process and these disputes and strikes can reduce its effectiveness (Wenche et al, 2013;Zidane and Andersen, 2018).…”