Multi-criteria analysis of road transport service providers as a method to support decision-making within sustainable supply chains
[ 1 ] Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ SzD ] doktorant ze Szkoły Doktorskiej
2024
artykuł naukowy
angielski
- urban logistics optimization methods
- decision-making effectiveness
- organization of transport flows in urban conditions
- sustainable supply chains management
- environmental efficiency
- green supply chains
EN The efficient use of transportation resources is the foundation of the management concept behind sustainable supply chains. The complexity of distribution supply chains requires the implementation of appropriate decision- making steps during modeling. This is due to the number of supply chain participants, the diversity of processes, and their flow. Thus, an appropriate way to assess the variety of control parameters that define the functionality of participants within sustainable supply chains is required. An extended multi-criteria analysis provides an opportunity to support the decision process of selecting appropriate supply chain elements, based on a scoring system that defines the relevance of the parameters. The developed method of multi-criteria evaluation of the attractiveness of carrier offers can be applied to urban logistics conditions. Due to limited access to data on carrier offers and their range of services under urban conditions, it seems appropriate to translate the experiences and conclusions from the consolidation of deliveries and the sharing of long-distance routes into urban transportation logistics. The effectiveness of the selection of supply-chain road-transportation service providers has been the subject of a comparative analysis of the types and parameters of the process within the research. The principles of the multi-criteria decision-making (MCDM) approach are considered, including identification of the process, determination of process requirements, establishment of objectives, consideration of alternative solutions, and identification of the operational framework. The variant approach proposed within this study allows us to verify the impact of road transportation conditions on overall efficiency. The performed analysis enables a choice between full truckload (FTL) and less-than-truckload (LTL) types of road transport. The results of this study support the decision-making process in the selection of road transport service providers. Conclusions are valuable also from the organization of city transportation models, as the logic behind efficiency assessment is comparable in both operational environments. A formulated set of recommendations can be implemented within the organization with a focus on optimizing the use of road transport solutions.
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