Abstract
The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in the multiple attribute decision-making (MADM) literature. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. The neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. The aim of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants. This study pioneers a combined neutrosophic-grey AHP (NG-AHP) method for uncertain decision-making modelling. The applicability of the hybrid NG-AHP method is shown in an illustrative real-case study for agility evaluations in the Iranian steel industry. The computational results indicate the effectiveness of the proposed method in adequately capturing uncertainty in the subjective judgements of decision makers. In addition, the results verify the significance of the research in group decision-making under uncertainty. The practical outcome reveals that, to become a more sustainable agile steel producer in the case country, they should first focus on the “organisation management agility” as the most significant criterion in the assessment followed by “manufacturing process agility,” “product design agility,” “integration of information system,” and “partnership formation capability,” respectively.
Highlights
In recent years, corporations have moved to the centre of focus in the sustainability debate. e reason for this is that they are considered to be responsible for enormous negative impacts on the environment and society [1]
It is indicated that agility and sustainability are regarded as performance measures for contemporary enterprises
In respect of the crisp weights obtained from N-analytic hierarchy process (AHP) (Table 9), it was revealed that C1 with the weight of 0.3262 is the most significant criterion in the assessment followed by C3, C2, C5, and C4 with weights of 0.2643, 0.2123, 0.1337, and 0.0635, respectively. e obtained weights of five criteria were utilised in the G-AHP method to reach the final ranking of steel companies
Summary
Received 7 May 2021; Revised 1 June 2021; Accepted 8 June 2021; Published 18 June 2021. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. E neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. E aim of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants. Is study pioneers a combined neutrosophic-grey AHP (NG-AHP) method for uncertain decisionmaking modelling. E applicability of the hybrid NG-AHP method is shown in an illustrative real-case study for agility evaluations in the Iranian steel industry. E computational results indicate the effectiveness of the proposed method in adequately capturing uncertainty in the subjective judgements of decision makers. The results verify the significance of the research in group decision-making under uncertainty. e practical outcome reveals that, to become a more sustainable agile steel producer in the case country, they should first focus on the “organisation management agility” as the most significant criterion in the assessment followed by “manufacturing process agility,” “product design agility,” “integration of information system,” and “partnership formation capability,” respectively
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
