Multi-objective Optimization of Logistics Networks: Supply Chain Optimization and Resilience

Emil Jacob

Diplomová práce

Abstract:

The research presented in this master’s thesis proposes a multi-objective optimization approach for global supply chain management and its application to Taghleef Industries. The proposed multi-objective optimization approach aims to enhance the efficiency of the supply chain, the environment, and the supply chain’s resilience using the MILP formulation. The pareto optimal solutions obtained using the constraint method show that the supply chain costs of Taghleef Industries can be minimized by 8-15%, the environmental impact of the supply chain can be minimized by 12-18%, the supply chain’s resilience can be improved by 25-30% and the supply chain’s service levels can be improved by 2-4%.

Keywords

Multi-objective optimization, Manufacturing supply chains, Global distribution networks, Taghleef Industries, Operational resilience, Sustainability, Raw material optimization, Production planning, Supply chain disruption mitigation, Mixed-integer linear programming (MILP).

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 23. 4. 2026

Obhajoba závěrečné práce

• Obhajoba proběhla 26. 6. 2026
• Vedoucí: doc. Ing. Ondrej Stopka, PhD.
• Oponent: doc. Ing. Jaroslav Mašek, PhD.

Vysoká škola technická a ekonomická v Českých Budějovicích

Magisterský studijní program / obor:
Logistics / Logistics