ASSESSING THE SYNERGETIC EFFECT OF SELECTING THE OPTIMAL STRUCTURE OF A LOGISTICS CHAIN

This study tackles a critical challenge in logistics optimization: assessing the economic efficiency not only of individual entities within a logistics chain, but also the synergistic benefits that arise from their collaboration. We achieve this by proposing a methodology that evaluates the economic efficiency of interactions between participants in a logistics chain. This methodology goes beyond individual efficiency and delves into how the overall economic benefit is distributed among key stakeholders. These stakeholders include freight owners, who initiate the delivery process, forwarders who manage and optimize deliveries, carriers who physically transport goods, and freight terminals that facilitate cargo handling and storage. To ensure the methodology’s relevance to contemporary practices, we begin with a comprehensive review of recent advancements in delivery chain optimization research. We propose to measure the synergetic effect by considering delivery demand parameters, such as the weight of the consignment and the distance it needs to travel. To validate our methodology and gain practical insights, we conducted a series of experimental studies specifically tailored to the Kazakhstani transportation market. By analysing the share of the synergistic effect under varying delivery demand parameters, we were able to identify trends and patterns.

Authors

Publication Details

Journal
Scientific Journal of Silesian University of Technology Series Transport
Published
2024-09-30
DOI
https://doi.org/10.20858/sjsutst.2024.124.8
Citations
1
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASSESSING THE SYNERGETIC EFFECT OF SELECTING THE OPTIMAL STRUCTURE OF A LOGISTICS CHAIN

Vitalii Naumov, Жумажан Жанбиров, Ігор Олександрович Таран, Zarina KONAKBAI et al.
1 citations
Scientific Journal of Silesian University of Technology Series Transport
Economic and Technological Systems Analysis
0.73
article

ASSESSING THE SYNERGETIC EFFECT OF SELECTING THE OPTIMAL STRUCTURE OF A LOGISTICS CHAIN

Vitalii Naumov, Жумажан Жанбиров, Ігор Олександрович Таран, Zarina KONAKBAI, B Mussabayev
article en
1 citations

Abstract

This study tackles a critical challenge in logistics optimization: assessing the economic efficiency not only of individual entities within a logistics chain, but also the synergistic benefits that arise from their collaboration. We achieve this by proposing a methodology that evaluates the economic efficiency of interactions between participants in a logistics chain. This methodology goes beyond individual efficiency and delves into how the overall economic benefit is distributed among key stakeholders. These stakeholders include freight owners, who initiate the delivery process, forwarders who manage and optimize deliveries, carriers who physically transport goods, and freight terminals that facilitate cargo handling and storage. To ensure the methodology’s relevance to contemporary practices, we begin with a comprehensive review of recent advancements in delivery chain optimization research. We propose to measure the synergetic effect by considering delivery demand parameters, such as the weight of the consignment and the distance it needs to travel. To validate our methodology and gain practical insights, we conducted a series of experimental studies specifically tailored to the Kazakhstani transportation market. By analysing the share of the synergistic effect under varying delivery demand parameters, we were able to identify trends and patterns.

Scientific Journal of Silesian University of Technology Series TransportVol. 124
Openalex Percentile: Top 23%
Economic and Technological Systems Analysis
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.