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Title: Use of Cargo Delivery Process Model for the Assessment of Logistics Service Quality
Authors: Кириченко, Ганна Іванівна
Нестеренко, Галина Іванівна
Авраменко, Світлана Ігорівна
Литвиненко, Сергій Леонідович
Яновський, Петро Олександрович
Литвиненко, Лариса Леонідівна
Keywords: logistics service
cargo delivery
cargo delivery process model
forecast deviation
Issue Date: 2018
Publisher: International Journal of Engineering & Technology
Citation: Use 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.
Series/Report no.: Vol. 7;iss. 4
Abstract: The 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.
ISSN: 2227-524X
Appears in Collections:Наукові праці співробітників НАУ (проводиться премодерація, колекція НТБ НАУ)
Наукові статті кафедри бізнес-аналітики та цифрової економіки

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