Βελτιστοποίηση δικτύου παραγωγής και διανομής στη βιομηχανία χαρτονιού : μελέτη περίπτωσης στην ανάθεση παραγωγής σε υφιστάμενα εργοστάσια
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Keywords
Βελτιστοποίηση εφοδιαστικής αλυσίδας ; Σχεδιασμός δικτύου παραγωγής και διανομής ; Βιομηχανία χαρτονιού ; Supply Chain Guru ; Ανάθεση παραγωγήςAbstract
This thesis examines the optimization of an existing production and distribution network in the corrugated board industry, with the main objective of reducing total operating cost through the optimal allocation of production to available plants and the corresponding assignment of customer demand. The problem does not involve the establishment of new facilities, but rather the more efficient utilization of an existing network of production sites, considering demand, available capacity, unit production cost, transportation cost and fixed operating costs.
The methodology is based on the development of an optimization model in Supply Chain Guru, using real operational data related to production facilities, customer nodes and three main product families. Through scenario analysis, different production and distribution assignment policies are evaluated, with emphasis on comparing the current network configuration with optimized solutions that differ in terms of available capacity and customer service policy.
The results indicate that optimized production allocation and distribution flows can lead to a significant reduction in total cost. The final proposed solution is the Optimized & Full Capacities & Single Source Scenario, which reduces total cost from €94.82 million to €86.32 million, achieving annual savings of €8.50 million, corresponding to an 8.97% reduction compared to the current network. This scenario is selected because it provides a balanced solution between cost efficiency and operational simplicity, maintaining a substantial part of the economic benefit while reducing service complexity through a single-sourcing policy.
The main finding of the thesis is that optimal production allocation cannot be based solely on the lowest production cost or geographical proximity. Instead, it requires an integrated evaluation of production cost, transportation cost, available capacity and operational feasibility. The thesis highlights the importance of digital optimization tools in supporting evidence-based decision-making in supply chain management, especially in industrial networks where production and distribution decisions are strongly interdependent.