Multi‐criteria evaluation method for freight logistics innovations

Permala, Antti; Rantasila, Karri; Porthin, Markus; Hinkka, Ville; Eckhardt, Jenni; Léonardi, Jacques

doi:10.1049/iet-its.2014.0187

Cited by 6 publications

(3 citation statements)

References 9 publications

(12 reference statements)

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“…For example, “Transport p olicy” (at the left of the “Freight t ransport” node) has only an EIC of 0.2688 and seems embedded in a cloud of concepts highlighting that policy-making and effective decision-making to achieve socio-economic and environmental “Sustainability” in the freight sector, while maintaining a safe and high-quality service (Permala et al. , 2015; Demir et al.…”

Section: Resultsmentioning

confidence: 99%

“…For example, "Transport policy" (at the left of the "Freight transport" node) has only an EIC of 0.2688 and seems embedded in a cloud of concepts highlighting that policy-making and effective decision-making to achieve socio-economic and environmental "Sustainability" in the freight sector, while maintaining a safe and high-quality service (Permala et al, 2015;Demir et al, 2019) requires multiple aspects to be integrated. This is particularly relevant for organisations, which need to put in place plans to address force majeure situations and avoid exclusion and inequitable effects distribute across population and locations (Ferrari, 2018;Orji et al, 2019;Tavasszy, 2020).…”

Section: Innovations In Freight Transportmentioning

confidence: 99%

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Innovations in freight transport: a systematic literature evaluation and COVID implications

Mavi

Olaru

et al. 2022

IJLM

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PurposeThis paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.Design/methodology/approachQualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.FindingsThe RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.Research limitations/implicationsGiven the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.Originality/valueThis paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

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Section: Resultsmentioning

confidence: 99%

Section: Innovations In Freight Transportmentioning

confidence: 99%

Innovations in freight transport: a systematic literature evaluation and COVID implications

Mavi

Olaru

et al. 2022

IJLM

View full text Add to dashboard Cite

show abstract

“…In decision theory, a possible remedy for the above two issues is by utilizing the notion of preferential dependency [11] which has been discussed and applied in many contexts [12][13][14] and employed within the model of Conditional Preference Networks (CP-nets) [15]. CP-nets allow customers to identify their relevant attributes and express the preferences on smaller and more manageable set of solutions or services.…”

Section: Introductionmentioning

confidence: 99%

Conditional Preference Networks for Cloud Service Selection and Ranking With Many Irrelevant Attributes

Alashaikh

Alanazi

2021

IEEE Access

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Cloud service selection and ranking are two different but related important tasks in the realm of cloud computing. Given the rapid growth in the number of available services offered by cloud providers with different quality of service, these tasks are becoming more and more challenging to be managed by the end customers. Furthermore, many services in the cloud are defined over a large set of attributes where the potential customer is interested on only a small subset of them. The other attributes are viewed as irrelevant to the customer selection and ranking strategies. In this work, we show how to employ conditional preferential dependencies in the domain of cloud service selection and ranking. In particular, we use Conditional Preference Networks (CP-nets) as a compact model to represent and reason with customer's preferences and criteria interdependencies. We show how to select the best service and how to rank, in nonincreasing order, a set of services given possibly incomplete information in the customer's CP-net. Our experimental results prove the feasibility of CP-nets as a mechanism for selecting and ranking hundreds of services defined on hundreds of attributes with complex interdependencies.

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Improving urban freight transport sustainability: Policy assessment framework and case study

Buldeo

Lier

Meers

et al. 2017

Research in Transportation Economics

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Multi‐criteria evaluation method for freight logistics innovations

Cited by 6 publications

References 9 publications

Innovations in freight transport: a systematic literature evaluation and COVID implications

Innovations in freight transport: a systematic literature evaluation and COVID implications

Conditional Preference Networks for Cloud Service Selection and Ranking With Many Irrelevant Attributes

Improving urban freight transport sustainability: Policy assessment framework and case study

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