Comparing methods of technology benefit assessment regarding their applicability to transportation and logistics

Alias, Cyril; Olalla, Frank Eduardo Alarcón; Potechin, A.; Noche, Bernd

doi:10.1109/smile.2018.8353975

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“…In addition to helping, technology applications also make it easier for users. Therefore, the technology becomes appropriate technology [1,2].…”

Section: Introductionmentioning

confidence: 99%

Design of expert system for train operational feasibility with Tsukamoto fuzzy inference system

et al. 2018

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Train is one of the most favorite mass transportation in the world. In 2017 train in Indonesia can bring about 341.605 passengers to many destinations. PT. Kereta Api Indonesia is a state owned enterprise that has responsibility to make sure that train is safe and works well. As we know that a train has several components to check. It is very difficult to identify whether a train is in a good condition or needs repairing. The purpose of this work is to proposes a model of operational feasibility by several main criteria: bogie, breaking system, boffer, electric coupler, and safety kit. In its experiment phase, this model uses Tsukamoto Fuzzy Inference System to decide that a train is in good condition or need repairing. In evaluation phase we compare this model with traditional method and this model shows exactly 99% of the same result. It is suggested for further work to include several methods such as Tsugeno and Mamdani fuzzy inference system.

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“…In addition to helping, technology applications also make it easier for users. Therefore, the technology becomes appropriate technology [1,2].…”

Section: Introductionmentioning

confidence: 99%

Design of expert system for train operational feasibility with Tsukamoto fuzzy inference system

et al. 2018

View full text Add to dashboard Cite

show abstract

Designing Smart Logistics Processes Using Cyber-Physical Systems and Complex Event Processing

Alias

Zahlmann²,

Olalla

et al. 2019

Mobilität in Zeiten Der Veränderung

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Comparing methods of technology benefit assessment regarding their applicability to transportation and logistics

Cited by 2 publications

References 9 publications

Design of expert system for train operational feasibility with Tsukamoto fuzzy inference system

Design of expert system for train operational feasibility with Tsukamoto fuzzy inference system

Designing Smart Logistics Processes Using Cyber-Physical Systems and Complex Event Processing

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