6. Conclusion and Future Directions
This research is focused on the identification of various enablers for an integrated logistics of sustainable supply chain and development of a hierarchical framework based on TISM. The traditional MICMAC is converted to fuzzy-MICMAC by qualitative consideration on a 0-1 scale. A modification is done to the existing algorithm of TISM. The diagraph is divided into equal halves and the enablers falling into those halves are assigned the fuzzy values taken from the opinion of various experts. The Fuzzy Direct Relationship Matrix (FDRM) is considered and the value for each enabler in the FDRM is assigned using step 11.5 and step 11.6 from the stepwise algorithm processes developed in sub-section 3.1 mentioned under Section 3. The obtained Fuzzy- MICMAC for the cluster of variables is different from the general MICMAC as more number of enablers is found as independent variables which make the model more efficient.
Further, the proposed TISM model basically aims at the development of enablers in a hierarchical manner which concludes that the integration and collaboration in the supply chain (E2), metrics for warehouse management system (E4), vehicle type and capacity (E10), reduction in the average length of haul (E11) and real-time information system (E13) play a vital role in reducing noxious emissions in an integrated logistics for sustaining supply chain. The developed TISM helps in knowing the direct and transitive relationships between variously identified enablers required for an integrated logistics and these initiatives would positively influence the overall environmental performance.