ADAPTATION OF SUPPLY CHAIN MANAGEMENT METHODS WITHIN REVERSE SUPPLY CHAINS OF WOOD BIOMASS

Background: This paper is devoted to identifying supply chain management methods applicable within reverse supply chains of wood biomass. In general, sustainable supply chains are characterised by increased process efficiency. Reverse supply chains also require proper management. Hence it is necessary to verify the applicability of existing management methods and tools within chains of this type. This article is devoted to identifying management methods and tools that have the potential to be used in reverse supply chains of wood biomass. Particular emphasis was placed on the well-known green supply chain management approach (GrSC), the concept of Zero Waste Management, the product life cycle (LCA), cost-effectiveness, and environmental efficiency. The possibility of adopting the available methods in reverse wood biomass supply chains has been analysed with reference to the limitations and opportunities resulting from the methods used.

Methods: The research was divided into two stages. In the first stage, an in-depth argumentative literature review (ALR) was performed to identify methods and tools suitable for implementation within reverse supply chains of wood biomass. The second stage outlined boundaries and possibilities for implementing management methods within reverse supply chains of wood biomass.

Results: The study indicated the potential to implement available management solutions in reverse supply chains of wood biomass. However, it is necessary to consider the specificity of wood biomass material flows and the characteristic elements of supply chain infrastructure they require.

Conclusions: The results show that sustainable supply chain management methods are suitable for use in reverse supply chains of wood biomass. It is necessary to consider the specific characteristics of wood biomass and the location of its acquisition points in existing supply chains. A number of limitations, related to the availability of data, their quality, the location of biomass sourcing locations and processing centres, and the degree of integration of internal processes resulting from the size of the company dealing with wood biomass processing, are identified.