A Sequential Optimization Approach in Tactical Planning for Value Creation in the Forest Products Industry

Autor: Pierre Cantegril, Shuva Gautam, Luc LeBel, Baburam Rijal
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Sustainability
Volume 12
Issue 12
Sustainability, Vol 12, Iss 4932, p 4932 (2020)
ISSN: 2071-1050
DOI: 10.3390/su12124932
Popis: Strategic, tactical, and operation-level forest management plans are commonly formulated by forest planners following even-flow yield principles. Although strategic planning ensures a sustained supply of timber over the long term, it disregards individual mills&rsquo
requirements, which leads to discrepancy between supply and demand. We hypothesize that a value-based timber allocation decision, which accounts for individual mills&rsquo
demands during tactical level planning, reduces such discrepancy by increasing value over the entire supply chain. Three types of linear programming models were constructed: Model A&mdash
status quo volume-maximization model, Model B&mdash
supply chain net present value-maximization (NPV) model, and Model C&mdash
a novel approach with sub-models embedded that maximize the NPV of individual mills in the allocation decision. Our results showed that only 58% of the annual allowable cut was profitable and the mean net revenue per harvested area was $2455 ha&minus
1 using Model A. The respective values using Models B and C were 64% and $3890 ha&minus
1 and 96% and $4040 ha&minus
1, respectively, showing that Model C generated the highest net revenue for all mills. Such a method of value-based sequential optimization (Model C) will be crucial in sustainable use of forest products and sustaining future bioeconomy, particularly for managing mixed species stands that contain timber suitable for manufacturing a wide range of products with different market values.
Databáze: OpenAIRE