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Faculty members

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Inside a building, a man dressed in a traditional white uniform with a red and white Saudi shemagh wears a neutral expression as if he were taking a picture of a faculty file at Qassim University.
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abdeljawed mohamed elati sadok

Assistant Professor
College of Business and Economics
Operations Management

Personal data

  • 00966501536836
  • a.sadok@qu.edu.sa
  • Desktop watches
  • Sunday: 10:40 AM - 11:40 AM
  • Tuesday: 10:40 AM - 12:00 PM
  • Thursday: 9:30 AM - 11:00 AM
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Scientific qualifications

  • Phd

Research interests

  • Operations Management, Logistics (Transport and Distribution)
  • Vehicle Routing Problem - VRP

Published research

  • Hybrid genetic-sweep algorithm to solve the vehicle routing problem with drones (2021-01-01)
  • Vehicle routing with multiple UAVs for last-mile logistics distribution: A hybrid distributed optimization approach (2025-01-01)
  • Optimizing the travel of home health carers using a hybrid ant colony algorithm (2023-01-01)
  • A hybrid grouping genetic algorithm for the inventory routing problem with multi-tours of vehicles (2010-01-01)
  • A genetic local search algorithm for the capacitated vehicle routing problem (2020-01-01)
  • Energy-efficient drone technologies and carbon-aware systems in sustainable supply chains: innovations, challenges, and policy pathways (2026-01-01)
  • Physical Communication (2020-01-01)
  • A hybrid grouping genetic algorithms for the inventory routing problem with multi-vehicle tours (2011-01-01)
  • Vehicle routing with multiple UAVs for last-mile logistics distribution: A hybrid distributed optimization approach (2024-05-24)
  • Hybrid genetic-sweep algorithm to solve the vehicle routing problem with drones (2021-02-01)
  • Optimizing the travel of home health carers using a hybrid ant colony algorithm (2021-02-26)
  • Energy-efficient drone technologies and carbon-aware systems in sustainable supply chains: innovations, challenges, and policy pathways (2026-01-28)

Teaching materials

  • Operations Management
  • Introduction to Management Science
  • Decision-Making Theory
  • Principles of Quantitative Analysis

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