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eISSN: 1734-459XpISSN: 1895-2038
JournalOpen Access

Key Metrics

CiteScore
1.9
SJR
Q4Management Information Systems
SNIP
0.65
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Logforum Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • DOAJ DOAJ
  • SJR SJR
Overview
Publisher POZNAN SCH LOGISTICS
Language English
Frequency Quarterly
Publication Time20
Editorial Review ProcessDouble anonymous peer review
General Details
LanguageEnglish
Society/Institute/SponsorPoznan School of Logistics
FrequencyQuarterly
Publication Start Year2005
Publisher URLVisit website
Website URLVisit website
Publication Details
Other chargesVisit website
PlagiarismVisit website
Publication Time 20
Editorial Review Detail
Editorial TeamVisit website
Review ProcessDouble anonymous peer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
License typeCC BY-NC
OA statementVisit website
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Recently Published Papers in Logforum

Occupational Safety and Risk Perception Among Postal Delivery Workers
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Chiang Mai University, Department of Industrial Engineering, Faculty of Engineering, Chiang Mai, Thailand
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Digital Twin (DT)-Driven Real-Time Optimization and Resilience Framework for Perishable Supply Chains Using MIP and Agile Quality Tools
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Improving plastic waste reverse logistics processes: differences between consumers of different genders and ages
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Zebra-SparseEchoNet: A Hybrid Transformer- Echo State Network Optimized with the Zebra Algorithm for Smart Logistics Demand Forecasting
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Simulation Studies on the Impact of Using Demand Forecasts Based on Deep Neural Networks for Inventory Replenishment Efficiency
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Occupational Safety and Risk Perception Among Postal Delivery Workers
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Chiang Mai University, Department of Industrial Engineering, Faculty of Engineering, Chiang Mai, Thailand
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Digital Twin (DT)-Driven Real-Time Optimization and Resilience Framework for Perishable Supply Chains Using MIP and Agile Quality Tools
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Improving plastic waste reverse logistics processes: differences between consumers of different genders and ages
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Zebra-SparseEchoNet: A Hybrid Transformer- Echo State Network Optimized with the Zebra Algorithm for Smart Logistics Demand Forecasting
  • 30 Mar 2026
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Simulation Studies on the Impact of Using Demand Forecasts Based on Deep Neural Networks for Inventory Replenishment Efficiency
  • 30 Mar 2026
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