A bibliometric and social network analysis of data-driven heuristic methods for logistics problems

DOI10.3934/jimo.2022190OpenAlexW4312680929MaRDI QIDQ2691477

Eren Özceylan, Nurcan Deniz

Publication date: 29 March 2023

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2022190

zbMATH Keywords

transportationheuristiclogisticssocial network analysisdata-drivensystematic literature reviewbibliometric analysis

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02) Mathematics and literature (00A64)

Uses Software

• Pajek

Cites Work

• Managing risk and disruption in production-inventory and supply chain systems: a review
• Utilizing individual picker skills to improve order batching in a warehouse
• A new data-driven robust optimization approach to multi-item newsboy problems
• An Exact Constraint Logic Programming Algorithm for the Traveling Salesman Problem with Time Windows
• The Data-Driven Newsvendor Problem: New Bounds and Insights
• Robust Partitioning for Stochastic Multivehicle Routing
• Robust Data-Driven Vehicle Routing with Time Windows

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