Multi-Objective Mixed-Integer Linear Programming for Dynamic Fleet Scheduling, Multi-Modal Transport Optimization, and Risk-Aware Logistics

Transportation planning is a complex process that aims to achieve the maximum level of effectiveness in terms of costs, usage of transport resources, reliability of deliveries, and minimizing the negative impact on the environment. Most traditional models focus on cost minimization at the expense of...

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Bibliographic Details
Published in:	Sustainability Vol. 17; no. 10; p. 4707
Main Authors:	Mohamed Alshabibi, Nawaf, Matar, Al-Hussein, H. Abdelati, Mohamed
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2025
Subjects:	Case studies Compliance Cost control Cost reduction Decision making Deep learning Efficiency Emission standards Emissions control Energy consumption Linear programming Literature reviews Logistics Logistics services Maritime industry Multiple criteria decision making Planning Route optimization Scheduling Sustainability Technology application Traffic congestion Transportation schedules Variables Vehicles Egypt
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
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