Техніко-економічне обґрунтування вибору моделі річстакера

The paper considers an approach to choosing the optimal reach stacker model for container terminals based on engineering-and-econo­mic performance. The technical characteristics of models from leading global manufacturers of handling machinery are analyzed. A methodology to determine the technical and operational productivity of reach stackers in the absence of complete data from the manufacturer is proposed. Five key efficiency criteria are identified: specific power, energy saturation, economic efficiency, cost power and cost mass. The most effective model choice is justified based on the ranking of models for each criterion and the calculation of the final score. The study results can be applied when forming technical requirements and specifications for the purchase of handling machinery. They also serve as an analytical basis for making informed mana­gement decisions in the field of logistics infrastructure development, and cargo terminals and ports modernization.

Publication Details

Journal
Scientific periodicals of Ukraine
Published
2025-05-09
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
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article

Техніко-економічне обґрунтування вибору моделі річстакера

Scientific periodicals of Ukraine
Traffic Prediction and Management Techniques
article

Техніко-економічне обґрунтування вибору моделі річстакера

article en

Abstract

The paper considers an approach to choosing the optimal reach stacker model for container terminals based on engineering-and-econo­mic performance. The technical characteristics of models from leading global manufacturers of handling machinery are analyzed. A methodology to determine the technical and operational productivity of reach stackers in the absence of complete data from the manufacturer is proposed. Five key efficiency criteria are identified: specific power, energy saturation, economic efficiency, cost power and cost mass. The most effective model choice is justified based on the ranking of models for each criterion and the calculation of the final score. The study results can be applied when forming technical requirements and specifications for the purchase of handling machinery. They also serve as an analytical basis for making informed mana­gement decisions in the field of logistics infrastructure development, and cargo terminals and ports modernization.

Scientific periodicals of Ukraine
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Traffic Prediction and Management Techniques
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