Page 24 - April_2024 Broucher.indd

Aalok Kumar and P R S Sarma

Title: Building risk mitigation strategies for circularity adoption in Indian textile supply chains

Journal: Annals of Operations Research

Textile industries are among the most polluting
and demand urgent management measures

to mitigate their negative environmental

impact. Thus, it is imperative to incorporate
the textile industry into the circular economy
and to foster sustainable practices. This study

aims to establish a comprehensive, compliant

decision framework to analyse risk mitigation strategies for circular supply chain (CSC) adoption in India’s textile
industries. The Situations Actors Processes and Learnings Actions Performances (SAP–LAP) technique analyses
the problem. However, interpreting the interacting associations between the SAP–LAP model-based variables is
somewhat lacking in this procedure, which might skew the decision-making process. As a result, in this study, the

SAP–LAP method is accompanied by a novel ranking technique, namely, the Interpretive Ranking Process (IRP), which
reduces decision-making issues in the SAP–LAP method and aids in evaluating the model by determining the ranks
of variables; furthermore, the study also offers causal relationships among the various risks and risk factors and

various identified risk-mitigation actions by constructing
Bayesian Networks (BN) based on conditional probabilities. The
study’s originality represents the findings using an instinctive
and interpretative choice approach to address significant
concerns in risk perception and mitigation techniques for CSC
adoption in the Indian textile industries. The suggested SAP–
LAP and the IRP-based model would assist firms in addressing
risk mitigation techniques for CSC adoption concerns by

providing a hierarchy of the various risks and mitigation strategies to cope with. The simultaneously proposed BN
model will help visualise the conditional dependency of risks and factors with proposed mitigating actions.

Page 17