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Authordc.contributor.authorTroncoso, Juan 
Authordc.contributor.authorD'Amours, Sophie 
Authordc.contributor.authorFlisberg, Patrik 
Authordc.contributor.authorRoennqvist, Mikael 
Authordc.contributor.authorWeintraub Pohorille, Andrés 
Admission datedc.date.accessioned2015-09-13T22:17:54Z
Available datedc.date.available2015-09-13T22:17:54Z
Publication datedc.date.issued2015
Cita de ítemdc.identifier.citationCanadian Journal of Forest Research, 2015, 45(7): 937-949en_US
Identifierdc.identifier.otherDOI: 10.1139/cjfr-2014-0315
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/133610
General notedc.descriptionArtículo de publicación ISIen_US
Abstractdc.description.abstractWhen 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%.en_US
Lenguagedc.language.isoenen_US
Publisherdc.publisherCanadian Science Publishingen_US
Type of licensedc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Keywordsdc.subjectValue chain managementen_US
Keywordsdc.subjectForest industryen_US
Keywordsdc.subjectPush and pull strategiesen_US
Keywordsdc.subjectLong term forest planningen_US
Keywordsdc.subjectMixed integer programmingen_US
Títulodc.titleA mixed integer programming model to evaluate integrating strategies in the forest value chain - a case study in the Chilean forest industryen_US
Document typedc.typeArtículo de revista


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Atribución-NoComercial-SinDerivadas 3.0 Chile
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 Chile