Modelling Inland Waterborne Transport for Supply Chain Policy Planning: An Indian Perspective

Pradeep Kumar, Abid Haleem, Furqan Qamar and Urfi Khan ()
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Pradeep Kumar: Internal Finance & Budgetary Control, Ministry of Power
Abid Haleem: Jamia Millia Islamia
Furqan Qamar: Central University of Himachal Pradesh
Urfi Khan: Indira Gandhi Delhi Technical University for Women

Global Journal of Flexible Systems Management, 2017, vol. 18, issue 4, No 7, 353-366

Abstract: Abstract This paper identifies and models enablers of inland water transport mode in India. A well-known technique of Total Interpretive Structural Modelling (TISM) has been used to develop the hierarchal structural model. The input to this model has come from an extensive literature review, Pentagon model based stakeholder analysis, after which several idea engineering workshops were conducted involving stakeholders. The structural model so developed is based upon ten enablers. However, this model was further analysed using Fuzzy-MICMAC and TISM approach. The extensive analysis in integrated model pointed towards the major driving power with the enablers ‘Regulator’, and ‘Incentives’. ‘Project Management’ came at the centre of the framework driven by other enablers like ‘Fairway’, ‘Private Investment’, ‘Public funding’, and ‘Cargo assurance’. This model depicts the practical use of multimodal transport in Inland waterborne transportation. Multimodal transport enhances supply chain flexibility by improving its logistics flexibility component. This model has been adopted and is successfully creating value for the government as well as for the private partners, and tells a successful story of public-private partnership in Inland Waterborne Transportation.

Keywords: Cargo assurance; Fuzzy MICMAC; Inland waterborne transport (IWT); Policy planning; Project management; Public funding; Supply chain; Total interpretive structural modelling (TISM) (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s40171-017-0166-4

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