Quantitative Techniques for Sustainable Decision Making in Forest-to-Lumber Supply Chain: A Systematic Review
The main objective of this paper is to evaluate and classify quantitative techniques applied in the forests-to-lumber supply chain that enables a sustainable decision-making process. Therefore, the procedures are defined as follows: first, analyze the current state of decision-making practices in the component entities of the forest-to-timber supply chain, focusing on sustainability. Secondly, research the various quantitative techniques used for sustainable decision-making in the component entities of the forest-to-timber supply chain. Finally, the challenges associated with implementing these quantitative techniques will be discussed while suggesting possible future research.
Through a comprehensive analysis of the available articles, we seek a holistic view of the progress, challenges, and prospects related to sustainability in the forest supply chain. By examining the practices and approaches adopted by each entity, it is expected to identify best practices and lessons learned that can serve as a basis for future decision-making and the design of policies and strategies oriented towards sustainability in the forestry sector.
This section showcases the key outcomes and discoveries of the literature review. It begins with a descriptive analysis of the scientific articles reviewed, providing an overview. Subsequently, a more detailed analysis of each paper is presented, highlighting the individual contributions and their relevance in the research context.
In supply chains, several quantitative techniques play an essential role in the search for balance between economic efficiency, environmental preservation, and social welfare. Among these techniques are linear, integer, and mixed integer programming, which offer powerful tools for optimal resource allocation and operations planning. Multiobjective optimization is used for various goals that may sometimes conflict, while stochastic and robust optimization allow consideration of uncertainty scenarios and data variability. In addition, cost-benefit analysis and life-cycle analysis help to measure the economic, environmental, and social impacts of decisions. Sensitivity analysis adds depth by considering how fluctuations in key factors influence outcomes. Finally, discrete event simulation adds dynamism by modeling different scenarios and understanding their impact over time.
3.1.1. Forest Entities and Sustainability
3.1.2. Forest Entities: One Sustainability Dimension
3.1.3. Forest Entities: Two Sustainability Dimensions
3.1.4. Forest Entities: Three Sustainability Dimensions
3.2.1. Transport Entities and Sustainability
3.2.2. Transport Entities: One Sustainability Dimension
3.2.3. Transport Entities: Two Sustainability Dimensions
3.3.1. Sawmill Entities and Sustainability
3.3.2. Sawmill Entities: One Sustainability Dimension
3.3.3. Sawmill Entities: Two Sustainability Dimensions
3.3.4. Sawmill Entities: Three Sustainability Dimensions
3.4. Other Entities
Other entities comprise companies that transform primary products of wood into final consumer goods or semi-finished products, such as furniture, rolling mill industry, parquet industry, and panels industry.
3.4.1. Other Entities and Sustainability
3.4.2. Other Entities: One Sustainability Dimension
3.4.3. Other Entities: Two Sustainability Dimensions
3.4.4. Other Entities: Three Sustainability Dimensions
In conclusion, this systematic literature review has offered insight into the evolving landscape of sustainable decision-making within the forest-to-lumber supply chain. The comprehensive analysis of quantitative techniques and methodologies has provided valuable insights into the current state-of-the-art practices and their implications for sustainability.
The findings underscore the increasing importance of integrating advanced quantitative optimization techniques, such as linear programming, combinatorial optimization, and simulation technologies, into the decision-making processes of the forest-to-lumber supply chain. These techniques offer opportunities for enhancing operational efficiency and play a pivotal role in addressing the sustainability dimensions of the industry.
Furthermore, the review has highlighted that although there is a growing emphasis on sustainability metrics and methodologies, reflecting a paradigm shift towards holistic and environmentally conscious practices within the forestry sector, more is needed for the social dimension. The examined articles explore various dimensions: 19 discuss the social aspect, 43 concentrate on the environmental dimension, and 55 delve into the economic dimension. Identifying crucial areas for future research underscores the need to continue exploring and innovating truly sustainable decision-making frameworks.
There is a clear need to focus more on the social aspects of forest supply chain management, considering perspectives other than employment and looking for metrics not exclusively related to economic aspects. Addressing social conflicts in local contexts is essential as an integral part of sustainable forest resource management.
New lines of research in this area are suggested:
Include a broader approach that considers the social impact of operations in the forest supply chain and not only focuses on economic or environmental aspects. Identifying and developing metrics that more fully reflect the social impact of forestry activities is required, as well as considering the social conflicts that may arise in local contexts.
Evaluate the adaptability of Industry 4.0 and data science using sensors for different entities in the forest-to-lumber supply chain.
Value the contribution of competitiveness and collaboration through a game theory approach of the different entities in the forest-to-lumber supply chain to drive efficiencies, reduce costs, and strengthen the sector’s competitiveness, thus contributing to a more agile and sustainable transportation system.
Evaluate the integral preventive management of forest fires, water consumption, and nutrient depletion of the soils where planted forests are located.
Analyze the environmental impacts and social conflicts produced by the forestry supply chain affecting indigenous people in their worldview and natural environment.
Evaluate the social impact generated when mechanizing and automating work in high-volume tasks in the forestry industry.
This study has certain limitations that are important to highlight. First, the review was limited to research written exclusively in English and available in the Web of Science database. This choice may have excluded studies written in other languages or present in different databases that can have provided additional information to our analysis.
The present research provides an essential reference point to guide stakeholders in understanding the state-of-the-art quantitative methodologies and techniques employed in the decision-making of the forest-to-lumber supply chain. In addressing the current state of these methodologies, the study highlights their applicability and the specific benefits they bring to sustainability throughout the forest-to-lumber supply chain. These findings inform the current situation and identify crucial areas that can be fundamental for future research, thus consolidating the importance of quantitative approaches for sustainable decisions. Future research on the forest-to-lumber supply chain can be related to the social pillar of sustainability on transportation aspects.
Disasters Expo USA, is proud to be supported by Inergency for their next upcoming edition on March 6th & 7th 2024!
The leading event mitigating the world’s most costly disasters is returning to the Miami Beach
And in case you missed it, here is our ultimate road trip playlist is the perfect mix of podcasts, and hidden gems that will keep you energized for the entire journey-