Modelling uncertainty in sustainable integrated logistics using Fuzzy-TISM

The objective of the present work is to identify and classify the major enablers of sustain ability and to model these for enhancing the sustainability of integrated logistics in an uncertain environment. The developed model is calibrated using Fuzzy-TISM, which is the fuzzy extension of TISM (Total Interpretative Structural Modelling). Responses have been sought from the experts through a questionnaire for understanding the relationships among various enablers. These responses are further used for mode operation on the linguistics term with a maximum frequency of occurrence. The outcome of this research article is the development of a systematic and integrated fuzzy decision analysis oriented model using Fuzzy-TISM. The research focuses on enhancing sustainability by addressing issues of the strategic decision in a logistics system for the integration of transportation, warehousing, information technology, packaging, and inventory in an uncertain environment. The developed decision model is useful for regulators, practitioners, manufacturers, service providers and policy makers. (C) 2017 Elsevier Ltd. All rights reserved.