scholarly journals Development of an economically sustainable and balanced tactical forest management plan: a case study in Quebec

2018 ◽  
Vol 48 (2) ◽  
pp. 197-207 ◽  
Author(s):  
Azadeh Mobtaker ◽  
Mustapha Ouhimmou ◽  
Mikael Rönnqvist ◽  
Marc Paquet

In Canada, most of the forests are publicly owned and forest products companies depend on timber licenses issued by the provincial governments for their wood supplies. According to the Sustainable Forest Development Act effective in the province of Quebec since April 2013, the government is responsible for harvest area selection and timber allocation to companies. This is a complex tactical planning decision with important impacts on downstream economic activities. Moreover, to avoid high grading of forest resources and to determine a sustainable tactical plan that ensures a stable level of availability, quality, and cost of supply over several years, it is necessary to take these criteria into consideration simultaneously during the planning process. We propose a mixed-integer nonlinear goal-programming formulation while employing Nadir theory as a reliable scaling technique to model this multi-objective planning problem. The model is solved by a linearization approach for a real case in the province of Quebec. The proposed solution method enables us to obtain good-quality solutions for relatively large cases. Results show that the proposed model outperforms conventional cost-minimization planning strategy by ensuring a more balanced use of wood supply and costs for all stakeholders over a longer period.

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 437 ◽  
Author(s):  
Cong Gao ◽  
Daogang Qu ◽  
Yang Yang

Bioenergy supply chains can offer social benefits. In most related research, the total number of created jobs is used as the indicator of social benefits. Only a few of them quantify social benefits considering the different impact of economic activities in different locations. In this paper, a new method of measuring the social benefits of bioethanol supply chains is proposed that considers job creation, biomass purchase, and the different impacts of economic activities in different locations. A multi-objective mixed integer linear programming (MILP) model is developed to address the optimal design of a bioethanol supply chain that maximizes both economic and social benefits. The ε-constraint method is employed to solve the model and a set of Pareto-optimal solutions is obtained that shows the relationship between the two objectives. The developed model is applied to case studies in Liaoning Province in Northeast China. Actual data are collected as practical as possible for the feasibility and effectiveness of the results. The results show that the bioethanol supply chain can bring about both economic and social benefits in the given area and offers governments a better and more efficient way to create social benefits. The effect of the government subsidy on enterprises’ decisions about economic and social benefits is discussed.


1988 ◽  
Vol 64 (6) ◽  
pp. 485-488 ◽  
Author(s):  
H. Douglas Walker ◽  
Stephen W. Preiss

A mathematical model was constructed and used to help plan five-year timber harvesting and delivery activities from an industrially managed public forest in Ontario. Harvest systems, harvest levels, and wood flows from compartments within the forest to various mills and delivery points were scheduled to minimize costs. The mathematical structure of the model may suggest applications to related forest planning problems. The model was useful in addressing the planning problem, and model results were used within the company's planning process. Data accuracy problems precluded assessing definitively the expected cost savings resulting from model use.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Celso T. Miasaki ◽  
Edgar M. C. Franco ◽  
Ruben A. Romero

This paper presents a novel mathematical model for the transmission network expansion planning problem. Main idea is to consider phase-shifter (PS) transformers as a new element of the transmission system expansion together with other traditional components such as transmission lines and conventional transformers. In this way, PS are added in order to redistribute active power flows in the system and, consequently, to diminish the total investment costs due to new transmission lines. Proposed mathematical model presents the structure of a mixed-integer nonlinear programming (MINLP) problem and is based on the standard DC model. In this paper, there is also applied a specialized genetic algorithm aimed at optimizing the allocation of candidate components in the network. Results obtained from computational simulations carried out with IEEE-24 bus system show an outstanding performance of the proposed methodology and model, indicating the technical viability of using these nonconventional devices during the planning process.


Author(s):  
İbrahim Zeki Akyurt ◽  
Yusuf Kuvvetli ◽  
Muhammet Deveci ◽  
Harish Garg ◽  
Mert Yuzsever

AbstractThis study aims to model a workforce-planning problem of pilot roles which include captain and first officer in an airline company and to make an efficient plan having maximal utilization of minimum workforce requirements. To tackle this problem, a mixed integer programming based a new mathematical model is proposed. The model considers different conditions such as employing pilots with different skill types, resignations, retirements, holidays of pilots, transitions between different skills regarding needs of the demands during the planning horizon. The application of the proposed approach is investigated using a case study with real-world data from an airline company in Turkey. The results show that a company can use transitions instead of new employment and this is a more suitable medium-term production and human resource planning decision.


2007 ◽  
Vol 37 (1) ◽  
pp. 128-140 ◽  
Author(s):  
Daniel Beaudoin ◽  
Luc LeBel ◽  
Jean-Marc Frayret

A mixed integer programming model that aims at supporting the tactical wood procurement decisions of a multifacility company is presented. This model allows for wood exchanges between companies. Furthermore, the material flow through the supply chain is driven by both a demand to satisfy ("pull" strategy) and a market mechanism ("push" strategy), enabling the planner to take into consideration both wood freshness and the notion of quality linked to the age of harvested wood into log, chips, and end-product demands. An inability to consider alternative plans for implementation, and the difficulty of assessing the performance of these plans in an uncertain environment, are two shortcomings of the manual planning process. A planning process, based on human planner – decision support system interactions that allows a company to overcome these shortcomings is therefore presented. The process combines Monte Carlo methods and an anticipation mechanism that will, in the long term, enable the company to take into account equipment transportation costs. The proposed planning process leads to a multicriteria decision-making problem where the human planner has to select a plan to implement from a set of candidate plans. A hypothetical test case shows that it is possible to manage the wood flow from stump to end market in such a way as to preserve freshness and extract higher value from the logs processed in the mills. The test case also shows that the proposed planning process achieves an average profitability increase of 8.8% compared with an approach based on a deterministic model using average parameter values. Finally, a sensitivity analysis reveals that the accuracy of standing inventory on harvest blocks and the anticipated market conditions are the most important parameters to consider in selecting a good wood procurement plan.


1998 ◽  
Vol 28 (7) ◽  
pp. 1084-1087 ◽  
Author(s):  
Alan T Murray

Route planning and development for operational forest harvesting is an important component of the forest management process. The need for an efficient and low-cost transportation network is significant, as it is likely to dictate or impact the profitability of a particular management plan. Approaches for automating or aiding the road planning process are essential. This paper discusses one interpretation of this planning problem and provides a formal mathematical specification of the problem. This research contributes to the further development of analytical methods for addressing operational forest planning and management.


2008 ◽  
Vol 84 (3) ◽  
pp. 338-348 ◽  
Author(s):  
Xiangfei Li ◽  
Mohamed H Nour ◽  
Daniel W Smith ◽  
Ellie E Prepas ◽  
Gordon Putz ◽  
...  

Under the authority of the Millar Western Forest Products Ltd. (MWFP) Forest Management Agreement, the company has the right to harvest trees, grow trees, manage the forest and plan activities that assure forest productivity and industry profitability without jeopardizing the quality of the environment. Thus, as part of obtaining provincial government approval, the company has to submit a Detailed Forest Management Plan that includes a comprehensive assessment of the environmental implications of forestry operations and the mitigation of impacts. Forest management planning for environmental sustainability will become more and more difficult with increased land use pressures from other industries, agriculture and recreation. Therefore, the planning process will require increasingly more sophisticated modelling tools to identify and avoid significant impacts. The Forest Watershed and Riparian Disturbance (FORWARD) project proposes a hybrid modelling tool that relies on inexpensive remote sensing data, with few ground truthing requirements, to model streamflow, suspended solids and nutrients in streams on the Boreal Plain. Incorporating modelling tools into the MWFP planning process provides MWFP additional strategies to operate in an environmentally sensitive manner. Thus, the company can maintain an allowable cut, while ensuring that ecological and physical values are considered. Key words: forest management and planning, modelling, artificial neural networks, SWAT, remote sensing, MODIS, GIS


2017 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
John Harner ◽  
Lee Cerveny ◽  
Rebecca Gronewold

Natural resource managers need up-to-date information about how people interact with public lands and the meanings these places hold for use in planning and decision-making. This case study explains the use of public participatory Geographic Information System (GIS) to generate and analyze spatial patterns of the uses and values people hold for the Browns Canyon National Monument in Colorado. Participants drew on maps and answered questions at both live community meetings and online sessions to develop a series of maps showing detailed responses to different types of resource uses and landscape values. Results can be disaggregated by interaction types, different meaningful values, respondent characteristics, seasonality, or frequency of visit. The study was a test for the Bureau of Land Management and US Forest Service, who jointly manage the monument as they prepare their land management plan. If the information generated is as helpful throughout the entire planning process as initial responses seem, this protocol could become a component of the Bureau’s planning tool kit.


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 772-779
Author(s):  
T.Vinsela Jeev

During the DMK regime many welfare schemes for implemented for women especially. This schemes for developments for socio and economic activities for women. The poor women, widows, physically challenged were benefited their schemes. The government allotted lot of sewing machines, Free school books, Midday meal schemes, Small scale Industry, Self help groups, Boating supply for fisher mans and many women teachers were appointed in Elementary school, Middle school, High schools. Women’s were appointed in police Department and also so many schemes for the development of socio and economic condition of the poor women people.


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