A mixed integer programming model to evaluate integrating strategies in the forest value chain - a case study in the Chilean forest industry
Author
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Troncoso, Juan
Author
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D'Amours, Sophie
Author
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Flisberg, Patrik
Author
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Roennqvist, Mikael
Author
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Weintraub Pohorille, Andrés
Admission date
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2015-09-13T22:17:54Z
Available date
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2015-09-13T22:17:54Z
Publication date
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2015
Cita de ítem
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Canadian Journal of Forest Research, 2015, 45(7): 937-949
en_US
Identifier
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DOI: 10.1139/cjfr-2014-0315
Identifier
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https://repositorio.uchile.cl/handle/2250/133610
General note
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Artículo de publicación ISI
en_US
Abstract
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When a company is integrated vertically, it can manage and plan its overall value chain in one direct and integrated approach. However in many cases, companies follow a decoupled approach where forests and production plants optimize separately their processes in a supply-driven strategy. In Chile, the two largest forest companies are vertically integrated (i.e., they own forest and mills that produce logs, lumber, plywood, pulp, paper, and bioenergy, etc.). Historically, they have coordinated their value chains using a make-to-stock strategy, for which the forest is the main driver of the value chain activities. In this paper, we propose an integrated planning approach to show the impacts of a demand-driven integration of the value chain in the forest industry. To compare this strategy with the decoupled strategy, we propose a mixed integer programming (MIP) model for the integrated strategy. To illustrate our proposal, we use forest and production information from a Chilean forest company. The decoupled strategy, where the forest and industry planning are planned separately, uses two models. The first model deals with the forest management and harvesting decisions and maximizes the expected net present value (NPV) of logs. In this model, the planning horizon covers one full forest rotation, which in Chile corresponds to about 25 years. The second model maximizes the NPV of the downstream operations for a shorter business planning horizon (five years) constrained by the availability of the logs from the first model. In the integrated approach, all parts of the value chain (forest, transportation, and mills) are driven by final product demandand where the objective is to maximize the profit of the company (NPV of the entire value chain). The demand is only given for the shorter business planning horizon. The two strategies are evaluated using the MIP model, and NPV is used to determine the best practice. According to the results, the NPV can increase up to 5.0% when the proposed integrated strategy is implemented compared to a decoupled strategy. Moreover, the profit for the business period increases up to 8.5%.