Dr. Elkafi Hassini

Professor / Associate Dean, Research

Department / Academic Area

Faculty, Operations Management

Available to Supervise PhD

Operations Management

Designations

Associate Dean, Research

Biography

Professor Hassini specializes in data-driven optimization with applications in supply chain management. His current research interests include big data optimization, supply chain analytics, supply chain risk management, sustainability performance measurement and strategic procurement. His research has been funded by several funding agencies including CFI, MRI ORF-RI, NSERC and SSHRC. His research has also been recognized through best paper awards and the faculty researcher of the year award. He teaches supply chain management, procurement operations management and applied optimization.

Videos

Articles

Publications

Journals

A Network-based, Data-driven Methodology For Identifying And Ranking Freight Bottlenecks

Yunfei Ma    Chien an Liu    Elkafi Hassini

Journal     2024

Data Science For Transportation

Improving Order Picking Efficiency Through Storage Assignment Optimization In Robotic Mobile Fulfillment Systems

Yanling Zhuang    Yun Zhou    Elkafi Hassini    Yufei Yuan    Xiangpei Hu

Journal     2024

European Journal Of Operational Research

A Review Of Models For Dependency Of Risks: Extension And Applications To Supply Chains

Leila Morteza beigi    Elkafi Hassini    Narges Soltani

Journal     2024

Operations And Supply Chain Management An International Journal

Freight Last Mile Delivery: A Literature Review

Si Liu    Elkafi Hassini

Journal     2024

Transportation Planning And Technology

Other

Impact Of Internet Of Things On Food Supply Chains

Elkafi Hassini    Mohamed Ben-daya    Zied Bahroun

2023

Optimal Investment Decisions For Recovery From Disruptions In The Decentralized Supply Chains

N Azad    Elkafi Hassini    Manish Verma

Conference    2018

Proceedings Of The International Conference On Industrial Engineering And Operations Management

Storage Space Allocation To Maximize Inter-replenishment Times

Elkafi Hassini

Conference    2008

Computers & Operations Research