Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/53049
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dc.contributor.authorКириченко, Ганна Іванівнаuk_UA
dc.contributor.authorНестеренко, Галина Іванівнаuk_UA
dc.contributor.authorАвраменко, Світлана Ігорівнаuk_UA
dc.contributor.authorЛитвиненко, Сергій Леонідовичuk_UA
dc.contributor.authorЯновський, Петро Олександровичuk_UA
dc.contributor.authorЛитвиненко, Лариса Леонідівнаuk_UA
dc.date.accessioned2021-11-01T09:55:56Z-
dc.date.available2021-11-01T09:55:56Z-
dc.date.issued2018
dc.identifier.citationUse of Cargo Delivery Process Model for the Assessment of Logistics Service Quality / Hanna Kyrychenko, Halyna Nesterenko, Svetlana Avramenko, Sergiy Lytvynenko, Peter Yanovsky, Larysa Lytvynenko // International Journal of Engineering & Technology. – 2018. – Vol. 7, iss. 4. – Р. 4514–4518.en
dc.identifier.issn2227-524X
dc.identifier.urihttps://er.nau.edu.ua/handle/NAU/53049-
dc.description.abstractThe paper proposes the method of forecasting the time of operations with a wagon and a cargo, which is carried out using the cargo deivery process model taking into account possible scenarios of the process and deviation from the forecast and technological standards. One of the concepts of the model is the average deviation from the forecast. This method for the first time allowed considering the condi-tions of real operational work when forecasting control points of cargo delivery process stages. Data on deviation is proposed to be stored in the database of the automated system for forecasting. The paper also proposes an estimation of deviations at all stages of transportation using linguistic definitions of the states, which allows quantifying the indicator, such as the quality of transportation. The given method allows forecasting the time control points of the scheduled cargo delivery stages considering the conditions of real operational work. One of the prospects for using the above method is the ability of information interaction of the transportation participants, namely, in the part of exchange and processing of operation monitoring data, data on deviations from the forecast and standards, as well as the exchange of delivery quality assessment data.en
dc.language.isoenen
dc.publisherInternational Journal of Engineering & Technologyen
dc.relation.ispartofseriesVol. 7;iss. 4en
dc.subjectlogistics serviceen
dc.subjectcargo deliveryen
dc.subjectcargo delivery process modelen
dc.subjectforecast deviationen
dc.titleUse of Cargo Delivery Process Model for the Assessment of Logistics Service Qualityen
dc.typeArticleen
Appears in Collections:Наукові праці співробітників НАУ (проводиться премодерація, колекція НТБ НАУ)
Наукові статті кафедри бізнес-аналітики та цифрової економіки

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