Tytuł
Integrating Disruption Propagation and Buffer Allocation in Smart City Manufacturing Clusters: A Transport-Energy Performance Model for Intermodal Supply Chains
Autorzy
[ 1 ] Akademia im. Jakuba z Paradyża | [ P ] pracownik
Dyscyplina naukowa (Ustawa 2.0)
Rok publikacji
2026
Typ artykułu
artykuł naukowy
Język publikacji
angielski
Słowa kluczowe
EN
- smart city
- manufacturing cluster
- supply chain resilience
- intermodal transport
- inventory management
- transport-energy performance
Streszczenie
EN This study integrates disruption propagation and inventory buffer allocation into a unified analytical framework and develops a transport-energy performance model (TEPM) for intermodal supply chains operating within smart city manufacturing clusters (SCMCs). The analyzed system consists of a single intermodal logistics node (ILN), a city logistics node (CLN), and multiple manufacturing buildings, forming a multi-layer network with strong interdependencies between transport, logistics, and production processes. Disruptions may occur at different system layers, including the ILN, transport links, the CLN, and manufacturing entities, and propagate downstream through the network (ripple effect), affecting material availability and production continuity. The proposed model employs the multi-layer Bayesian network method (MLBNM) to represent disruption propagation and interdependencies between system components under uncertainty. Inventory buffers at the CLN and manufacturing nodes are incorporated as decision variables and act as key mitigation mechanisms, enhancing system resilience. Buffer allocation also affects transport-energy performance through its interaction with transport activity and production continuity, linking inventory-based resilience with the energy requirements of material transport. The model integrates network structure, disruption propagation, and inventorybased decision-making into a unified framework. A scenario-based analysis evaluates system performance under different disruption conditions and buffer allocation strategies using a representative SCMC configuration. The results for the analyzed scenarios show how buffer placement and supply chain configuration affect resilience and transport-energy performance within the modeled system. The proposed approach provides a framework for jointly analyzing probabilistic disruption propagation, inventory-based mitigation, and transport-energy performance in intermodal SCMC supply chains
Strony (od-do)
4139 (1) - 4139(38)
Typ licencji
CC BY (uznanie autorstwa)
Tryb otwartego dostępu
otwarte czasopismo
Wersja tekstu w otwartym dostępie
ostateczna wersja opublikowana
Data udostępnienia
09.2026
Czas udostępnienia publikacji w sposób otwarty
w momencie opublikowania
Punktacja Ministerstwa / czasopismo
140
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