scholarly journals A Long-Term Harvest Scheduling Model Involving Two Types of Rotation and Variable Labour Requirements

2013 ◽  
Vol 19 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Suguru Watanabe ◽  
Satoshi Tatsuhara
Keyword(s):  
Harvest Scheduling ◽  
Scheduling Model

An operational, spatially constrained harvest scheduling model

1990 ◽  
Vol 20 (9) ◽  
pp. 1438-1447 ◽  
Author(s):  
Stephen E. Clements ◽  
Patrick L. Dallain ◽  
Mark S. Jamnick
Keyword(s):  
Monte Carlo ◽  
New Brunswick ◽  
Timber Harvest ◽  
Programming Algorithm ◽  
Search Procedure ◽  
Harvest Scheduling ◽  
Short Term ◽  
Mapping Strategy ◽  
Scheduling Model

A Monte Carlo integer programming algorithm was developed to generate short-term (25-year), spatially feasible timber harvest plans for a New Brunswick Crown license. Solutions for the short-term plan are considered feasible if they meet spatial and temporal harvest-flow and adjacency constraints. The solution search procedure integrates a randomly generated harvesting sequence and checks of harvest-flow and adjacency constraints. The model was used to determine the annual allowable cut under three constraint formulations. The three formulations represented increasing levels of adjacency constraints, from no constraints to levels similar to current provincial requirements. The annual allowable cut under the most strict constraint formulation was reduced by 9% from the unconstrained formulation, for a given mapping strategy of a long-term harvest schedule. These applications of the model indicate that it is suitable for spatially constrained harvest scheduling on Crown licenses in New Brunswick.

scholarly journals Techniques for assessing the effects of pest hazards on long-run timber supply

1987 ◽  
Vol 17 (11) ◽  
pp. 1455-1465 ◽  
Author(s):  
William J. Reed ◽  
Darrell Errico
Keyword(s):  
Stand Age ◽  
Harvest Scheduling ◽  
Timber Supply ◽  
Pest Infestation ◽  
Total Destruction ◽  
Long Run ◽  
Land Expectation Value ◽  
Level Model ◽  
Using Data

Stand-level and forest-level models are developed for the purpose of assessing the effects of pest hazards on long-term timber supply. The stand-level model yields formulas for the long-run average yield and the land expectation value when both the risk of infestation by pests and the risk of total destruction by fire are present. Infestations are assumed to occur with a probability dependent upon stand age. A forest-level harvest scheduling procedure of the model II type, which allows for pest infestation and fire destruction, is developed. Numerical examples are given, using data for lodgepole pine in the Quesnel Timber Supply Area of British Columbia, assuming various patterns of infestation by mountain pine bark beetle.

scholarly journals Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2239
Author(s):  
Bin Luo ◽  
Shumin Miao ◽  
Chuntian Cheng ◽  
Yi Lei ◽  
Gang Chen ◽  
...  
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Copula Function ◽  
Market Environment ◽  
Scheduling Model ◽  
Multiple Markets ◽  
Generation Scheduling ◽  
Hydropower Plants ◽  
Proposed Model

The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets.

Economic trade-offs of managing forests for timber production and vegetative diversity

1994 ◽  
Vol 24 (6) ◽  
pp. 1260-1265 ◽  
Author(s):  
David N. Holland ◽  
Robert J. Lilieholm ◽  
David W. Roberts ◽  
J. Keith Gilless
Keyword(s):  
Diversity Index ◽  
Basal Area ◽  
Timber Harvest ◽  
Forest Stand ◽  
Timber Production ◽  
Harvest Scheduling ◽  
Scheduling Model ◽  
Trade Offs ◽  
Compositional Diversity ◽  
Shannon’S Diversity Index

Three indices of forest stand structural and compositional diversity were incorporated into a linear programming timber harvest scheduling model to examine the trade-offs between managing stands for timber production and biodiversity objectives. The indices, based on Shannon's diversity index, characterized stand species diversity, basal area diversity, and vertical crown diversity. While harvest-level objectives were often compatible with the maintenance of vegetative diversity, the maximization of present net value was accompanied by substantial reductions in all three measures of diversity.

Long-term scheduling model of Swiss hydropower

2019 ◽  
Author(s):  
Olga Weiss ◽  
Giacomo Pareschi ◽  
Oliver Schwery ◽  
Michele Bolla ◽  
Gil Georges ◽  
...  
Keyword(s):  
Scheduling Model

scholarly journals Incorporating Regeneration Effort as a Decision Variable in Tactical Harvest Scheduling

2009 ◽  
Vol 24 (2) ◽  
pp. 61-66 ◽  
Author(s):  
Kevin Boston ◽  
John Sessions ◽  
Robin Rose ◽  
Will Hoskins
Keyword(s):  
Net Present Value ◽  
Spatial Arrangement ◽  
Decision Variable ◽  
Harvest Scheduling ◽  
Slight Improvement ◽  
Present Value ◽  
Scheduling Model ◽  
Heuristic Procedures ◽  
Value Determination ◽  
Forest Managers

Abstract A variable green-up period is incorporated into a tactical harvest scheduling model to allow for the regeneration policy to be included as a decision variable. The benefit of this formulation was demonstrated by solving a 91-logging unit forest plan under four different green-up policies.The first three policies used fixed green-up periods of 2, 3, and 4 years. The fourth policy uses a variable green-up period where the model selects the regeneration effort that determines the green-up period stand by stand. This policy allows each harvested stand to choose among a 2-, 3-,or 4-year green-up period. The variable green-up period resulted in a slight improvement in the net present value because its total was approximately $3,000 or $1.11/ac higher for the total planning area, not just the harvested acres when compared with the best solutions when 4-, 3-, and 2-year fixed green-up periods were used. The variable green-up constraint adds a level of complexity to the spatial harvest scheduling problem that is easily incorporated into a variety of heuristic procedures because they do not require that all combinations of harvest units be specified before solving the problem. The results cannot be generalized to other forests because the spatial arrangement of the stands is a major component in the value determination. However, using the methodology presented, forest managers can evaluate their own alternatives that may improve the returns from managing their resources.

Formulating the integrated forest harvest-scheduling model to reduce the cost of the road-networks

2018 ◽  
Vol 20 (4) ◽  
pp. 2283-2306 ◽  
Author(s):  
Nader Naderializadeh ◽  
Kevin A. Crowe
Keyword(s):  
Road Networks ◽  
Harvest Scheduling ◽  
Forest Harvest ◽  
The Road ◽  
Scheduling Model ◽  
The Cost

Evaluation of two risk mitigation strategies for dealing with fire-related uncertainty in timber supply modelling

2010 ◽  
Vol 40 (6) ◽  
pp. 1136-1154 ◽  
Author(s):  
David W. Savage ◽  
David L. Martell ◽  
B. Mike Wotton
Keyword(s):  
Risk Mitigation ◽  
Timber Harvest ◽  
Fire Regimes ◽  
Mitigation Strategies ◽  
Planning Model ◽  
Harvest Scheduling ◽  
Scheduling Model ◽  
Risk Mitigation Strategies ◽  
Harvest Volume ◽  
Forest Managers

We embedded a linear programming timber harvest scheduling model into an aspatial stochastic simulation model of a flammable forest to evaluate two fire risk mitigation strategies. The harvest scheduling model is solved repeatedly to produce harvest schedules within a rolling planning horizon framework. The risk mitigation strategies we examined were (1) whether or not to account for fire in the planning model and (2) replanning interval. We evaluated those strategies under four representative fire regimes. We found that accounting for fire in the planning model reduced the harvest volume variability as fire activity increased (i.e., for average annual burn fractions ≥0.45%), but replanning intervals over a range of 1 to 10 years had little impact on harvest volume variability. We also developed a risk analysis decision-making aid that forest managers can use to help deal with fire-related uncertainty. Our results suggest that risk-averse forest managers should account for fire while planning, especially when burn fractions exceed 0.45%.

Habitat and harvest scheduling using Bayesian statistical concepts

1996 ◽  
Vol 26 (8) ◽  
pp. 1375-1383 ◽  
Author(s):  
Paul C. Van Deusen
Keyword(s):  
Stochastic Process ◽  
Infinite Number ◽  
Spatial Distributions ◽  
Harvest Scheduling ◽  
Spatial Constraints ◽  
Model Based ◽  
Land Holdings ◽  
Term Management

A procedure is derived to generate long-term management schedules of habitat and harvest on large land holdings. The method utilizes spatial distributions that are derived using Bayesian statistical concepts. Model-based methods are proposed for incorporating spatial constraints and stochastically creating habitat. Thus, the Bayesian scheduler treats the schedule as a stochastic process rather than a deterministic one and generates virtually an infinite number of potential schedules that share common distributional characteristics. These schedules can then be examined and chosen according to economic or other criteria.

Sign in / Sign up

Export Citation Format

Share Document