Autonomous ships for container shipping in the Arctic routes

Munim, Ziaul Haque; Saha, Rana; Schøyen, Halvor; Ng, Adolf K.Y.; Notteboom, Theo

doi:10.1007/s00773-021-00836-8

Cited by 25 publications

(13 citation statements)

References 60 publications

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“…BWM can evaluate the optimal weights of the challenges by considering the consistency of the results 39 . BWM technique has been widely used by various researchers in different applications such as ship selection for container shipping, 40 sustainability assessment of onshore wind plants 41 and challenges in the implementation of industry 4.0, 42 and so forth. The steps involved in BWM are given as follow: Step 1 : Identify and collect the challenges

((),,,, C_{1}, C_{2}, \dots, C_{N})

to LCA. Step 2 : Select the best and worst challenge to LCA.…”

Section: Methodsmentioning

confidence: 99%

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Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Karuppiah

Sankaranarayanan

Ali

2022

Env Prog and Sustain Energy

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Purpose: Over the past few decades, the industrial sectors have been widely criticized for their adverse environmental impacts and uncontrolled resources consumption. Further, stringent environmental norms and growing environmental awareness has pushed industrial sectors to adopt sustainable industrial practice. Life Cycle Assessment (LCA), an industrial performance assessment tool, has several limitations and hence, it is difficult to measure the performance of industrial sectors in terms of sustainability. The present study aims to identify and evaluate the challenges to LCA. Methods: Combining literature review and industrial interactions has identified 20 challenges to LCA under five-category comparability, data, resource requirements, organizational structure, and uncertainty communication. An integrated Multi-Criteria Decision Making (MCDM) technique comprising of Best-Worst Method (BWM) and Decision-Making Trial and Evaluation of Laboratory (DEMATEL) is used to evaluate the challenges to LCA. BWM is used to prioritize the challenges to LCA, and DEMATEL is used to reveal interrelationships among the challenges. Results: Outcomes of BWM indicates problems with the quality of data, lack of inventory data, difficulty in comparison, absence of dedicated LCA method, and scale-up issues as the top five critical challenges to LCA adoption. According to DEMATEL result, seven challenges come under cause category and the remaining 13 challenges come under effect category.Conclusions: Challenges to LCA have been evaluated using an integrated approach comprising of BWM-DEMATEL. Outcome of the integrated approach helps in prioritizing the challenges and also in exposing the interrelationships among the challenges. The study's outcome would assist industrial management and practitioners in identifying the critical challenges to LCA. In addition, the findings may help the research community in developing a robust and reliable LCA tools.

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((),,,, C_{1}, C_{2}, \dots, C_{N})

to LCA. Step 2 : Select the best and worst challenge to LCA.…”

Section: Methodsmentioning

confidence: 99%

“…Municipal solid waste management container shipping, 40 sustainability assessment of onshore wind plants 41 and challenges in the implementation of industry 4.0, 42 and so forth. The steps involved in BWM are given as follow:…”

Section: Best Worst Methods (Bwm)mentioning

confidence: 99%

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Karuppiah

Sankaranarayanan

Ali

2022

Env Prog and Sustain Energy

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“…According to Rolls-Royce (Mooney 2015), MASS can achieve a 20% reduction in fuel costs. Additionally, removal of crew from the vessels can uncover opportunities for transporting cargo using new routes, such as through the Arctic region (Munim et al 2021).…”

Section: Cost Reductions and Operational Efficienciesmentioning

confidence: 99%

Creating value through autonomous shipping: an ecosystem perspective

Tsvetkova

Hellström

2022

Marit Econ Logist

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The expected benefits of Maritime Autonomous Surface Ships (MASS) include increased safety, reduced costs and increased earning potential due to operational efficiencies and reduction in vessel manning. However, autonomous shipping enabled by such ships bears a greater potential than just replacing humans with machines. Rather, MASS can play a role in transforming supply and logistics chains. The value creation potential of these ships depends on the degree to which they disrupt logistics. Our aim here is to clarify how MASS create value and for whom, as well as how different actors in the maritime logistics ecosystem are able to monetize or otherwise benefit from the innovation. Based on interviews with experts in maritime logistics and autonomous technology, and a desktop study of the opinions of the leaders in maritime innovation, we analyse the different facets of value creation by MASS. We distinguish between the two key sources of value – onboard crew reduction and increased ship intelligence and their effects (cost reductions, earning potential, increased safety and system value) – and explicate for which actors in the ecosystem the value is created. We identify the key changes in the maritime logistics ecosystem, which concern the changing roles of technology providers, shipowners and operators, and we highlight the need for developing complementary infrastructure and activities in the ecosystem.

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“…Though the research broadly described about different levels of autonomous vessel, the appropriate one is not identified (Flokkou 2021 ). Munim, Ziaul Haque in his paper ‘Autonomous ships for container shipping in the Arctic routes’ analyzed the competitiveness of several autonomous vessels and find out the appropriate vessel for the arctic region using the opinions of the expertise, in this research he used MCDM technique for data analysis (Munim et al 2020 ). The study covers important criteria for shipping, but didn’t emphasize the collision avoidance ability, which is crucial for safe navigation.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing appropriate autonomous vessel for South-East Asian route: from the view of seafarers

Rahman¹

2022

J. shipp. trd.

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The development of autonomous vessel has achieved tremendous interest across the world for the safe navigation and economic benefits. Numerous alternatives are constructed in the autonomous vessel development projects, the alternatives of MUNIN and NYK project are combined for this study; these are - Manned autonomous vessel, Remotely controlled vessel, Autonomous and Partially remote-controlled vessel, and Full autonomous vessel. As the statistics of UNCTAD shows that South-East Asia is a highly dense region and has the busiest international maritime connectivity, this research tried to select the appropriate autonomous vessels from the four alternatives to ensure safe navigation in this traffic congested maritime route. For this study, 311 accident reports are investigated to find out the most frequent casualty and its cause. The data are collected from the global integrated shipping information system of the international maritime organization's website. The decision tree of R-studio demonstrates that the most frequent accidents are- Collision, Grounding, Fire, and listing. Afterwards a survey was made on 65 experienced seafarers to determine which autonomous vessel criteria would be compatible to avoid the casualty. This research adopts AHP (analytical hierarchy process) to conduct the analysis. AHP is a multi-criteria decision analysis method for solving any decision problem. The research shows that ‘Manned autonomous vessel’ and ‘Autonomous and Partially remote-controlled vessel’ are the appropriate alternatives for safe navigation in the South-East Asian region. This study will help the researcher who is working in autonomous vessel development, mainly working for Asian water.

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Autonomous ships for container shipping in the Arctic routes

Cited by 25 publications

References 60 publications

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Creating value through autonomous shipping: an ecosystem perspective

Analyzing appropriate autonomous vessel for South-East Asian route: from the view of seafarers

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