Abstract
Starting from the 3rd millennium BC, Indian maritime trade has augmented the life of a common man and businesses alike. This study, finds that India can leverage on the 7,500 long coast line and derive holistic development in terms of interconnected ports with hinterland connectivity and realize lower expenditure coupled with reduced carbon emission. This research analyzed a decade of cargo data from origination to destination and found that around 82.95 per cent (953 MMTPA in 2017–18) of road based consignments in India comprised of Fertilizers, Hydrocarbons, Coal, Lubricants and Oil. Essentially, a quantum of this i.e. 78.39 per cent of MMTPA cargo consignments (State Owned Hydrocarbons) traverses on Indian roads. The study drew parameters of this transportation paradigm and modeled the same using Artificial Intelligence to depict a monumental opportunity to rationalize costs, improve efficiency and reduce carbon emission to strengthen the argument for the employment of Multimodal Logistics in the Maritime Sector. Subsequent to model derivation the same set of parameters are plotted as an efficient transit map of Interstate transit lines connecting 16 major hubs which now handle bulk cargo shipped by all modes of transport. For the pollution segment a collaborative game theoretic approach i.e., Shapley value is proposed for improved decision making. This study presents data driven and compelling research evidence to portray the benefits of collaboration between firms in terms of time and cost. The study also proposes the need and method to improve hinterland connectivity using a scalable greedy algorithm which is tested with real time data of Coal and Bulk Cargo. As a scientific value addition, this study presents a mathematical model that can be implemented across geographies seamlessly using Information Communication Technology.
Highlights
Leading National newspaper “Business Standard” in the morning of 16-May-17, shared with the Indian transportation and logistics fraternity that with an expenditure budget of Rs. 33,000 crores, the process to build 15 Multimodal parks across strategic coordinates has been initiated, reflecting a monumental infrastructural building regime for the decade or more
The recent interdisciplinary and proven methodology associated to Logistics, Supply Chain Management, Warehousing, Freight Management and Containers handling is “Multimodal Logistics”
From this perspective enablement of Multimodal Logistics was mooted in the 12th Five Year Plan; [12] National (Government) Transport Development Policy Committee (NTDPC - 2016-17); Other reports i.e., Report on Indian Transport (Moving India to 2032), Internationally acclaimed “Annual (2016-17) Logistics Report of KPMG”, the policy manual “Industry Outlook for 2017-18 by Price Waterhouse Coopers” (PwC) and “McKinsey‟s”, Projects and Infrastructure Team‟s report for the year 2016-17 seek and advocate the deployment of a “Multimodal Structure” as a possible solution to the Indian transportation sector [32], [53]
Summary
Abstract—Starting from the 3rd millennium BC, Indian maritime trade has augmented the life of a common man and businesses alike. This study, finds that India can leverage on the 7,500 long coast line and derive holistic development in terms of interconnected ports with hinterland connectivity and realize lower expenditure coupled with reduced carbon emission. The study drew parameters of this transportation paradigm and modeled the same using Artificial Intelligence to depict a monumental opportunity to rationalize costs, improve efficiency and reduce carbon emission to strengthen the argument for the employment of Multimodal Logistics in the Maritime Sector. This study presents data driven and compelling research evidence to portray the benefits of collaboration between firms in terms of time and cost. The study proposes the need and method to improve hinterland connectivity using a scalable greedy algorithm which is tested with real time data of Coal and Bulk Cargo.
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