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Journal articles on the topic 'Harvest scheduling'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Marušák, Róbert, and Jan Kašpar. "Spatially-constrained harvest scheduling with respect to environmental requirements and silvicultural system / Prostorové plánování mýtních těžeb zahrnující environmentální požadavky a hospodářské způsoby." Forestry Journal 61, no. 2 (2015): 71–77. http://dx.doi.org/10.1515/forj-2015-0015.

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Abstract There has been an increasing demand for environmental considerations (e.g. unharvested patches) in forest harvest scheduling in the last decades. In Slovakia and the Czech Republic, allowable cut indicators are not based on the spatial structure; thus, they are unable to incorporate these additional conditions. Many harvest scheduling models based on integer and mixed integer programming have been developed throughout the world, but their use in forest management in Slovakia and the Czech Republic is rare. These approaches have mostly been developed for clear-cut management systems an

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McDill, Marc E., Stephanie A. Rebain, and Janis Braze. "Harvest Scheduling with Area-Based Adjacency Constraints." Forest Science 48, no. 4 (2002): 631–42. http://dx.doi.org/10.1093/forestscience/48.4.631.

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Abstract Adjacency constraints in harvest scheduling models prevent the harvest of adjacent management units within a given time period. Two mixed integer linear programming (MILP) harvest scheduling formulations are presented that include adjacency constraints, yet allow the simultaneous harvest of groups of contiguous management units whose combined areas are less than some predefined limit. These models are termed Area Restriction Models, or ARMs, following Murray (1999). The first approach, the Path Algorithm, generates a set of constraints that prevent concurrent harvesting of groups of c

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3

Han, Xiao, Huarui Wu, Huaji Zhu, Jingqiu Gu, Wei Guo, and Yisheng Miao. "Scheduling of Collaborative Vegetable Harvesters and Harvest-Aid Vehicles on Farms." Agriculture 14, no. 9 (2024): 1600. http://dx.doi.org/10.3390/agriculture14091600.

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Transporting harvested vegetables in the field or greenhouse is labor-intensive. The utilization of small harvest-aid vehicles can reduce non-productive time for farmers and improve harvest efficiency. This paper models the process of harvesting vegetables in response to non-productive waiting delays caused by the scheduling of harvest-aid vehicles. Taking into consideration harvesting speed, harvest-aid vehicle capacity, and scheduling conflicts, a harvest-aid vehicle scheduling model is constructed to minimize non-production waiting time and coordination costs. Subsequently, to meet the coll

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4

Armstrong, Glen W., William E. Phillips, and James A. Beck Jr. "Optimal timber harvest scheduling under harvest volume constraints: a comparison of two opportunity cost criteria." Canadian Journal of Forest Research 22, no. 4 (1992): 497–503. http://dx.doi.org/10.1139/x92-065.

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A simple model is developed to determine the economically optimal combination of stands to harvest in a period when there are periodic maximum harvest volume constraints. The model is formulated using concepts developed in the Faustmann optimum forest rotation model. The objective function minimizes the net opportunity cost of delayed harvest. For each stand in the forest, the model is used to determine if the stand should be harvested this period or if the harvest decision should be deferred to the next period. In the typical exposition of the Faustmann model, the opportunity costs of delayed

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Hof, John G., James B. Pickens, and E. T. Bartlett. "A MAXMIN Approach to Nondeclining Yield Timber Harvest Scheduling Problems." Forest Science 32, no. 3 (1986): 653–66. http://dx.doi.org/10.1093/forestscience/32.3.653.

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Abstract This paper investigates an alternative approach to scheduling timber harvests when nondeclining yield is desired. The approach maximizes the minimum harvest during any one time period, across all time periods in the planning horizon. This approach tends to create an even flow harvest pattern, but allows more flexibility than rigid nondeclining yield or even flow constraints. The approach is tested in a case study involving conversion of an unregulated forest into a regulated state. The results suggest that the approach, in combination with other approaches, may have the potential to g

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Carter, Douglas R., Loukas G. Arvanitis, Daniel Brackett, Valentina Boycheva, and Scott Sager. "A Decision Support System for Timber Harvest Scheduling." Journal of Forestry 97, no. 6 (1999): 12–18. http://dx.doi.org/10.1093/jof/97.6.12.

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Abstract A World Wide Web interface has been developed for an integrated geographic information system (GIS) and timber harvest scheduling model. The interface builds on the Austin Cary Memorial Forest GIS, which was developed to enhance teaching, research, and extension in GIS and related technologies for students, professors, and professional foresters. This Web-based decision support system includes applications for browsing data, displaying maps and images, and modeling timber harvests. The timber harvest scheduling model allows users to experiment with different scenarios by observing how

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Murray, Alan T. "Spatial Restrictions in Harvest Scheduling." Forest Science 45, no. 1 (1999): 45–52. http://dx.doi.org/10.1093/forestscience/45.1.45.

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Abstract Forest resource use has traditionally been multifaceted. In order to ensure that these resources continue to be available for use by current and future generations, sustainable management practices are essential for striking a balance between the varied and often competing demands associated with forest use. This has meant that analysis incorporate specific objectives and considerations aimed at minimizing the impacts of forest activities. One such management planning approach has been the inclusion of spatial restrictions in harvest scheduling analysis. This article reviews two basic

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Simon, James E., W. Dennis Scott, and Gerald Wilcox. "SCHEDULING MELON TRANSPLANTING TO MEET SPECIFIC HARVEST WINDOWS IN SOUTHWEST INDIANA." HortScience 27, no. 11 (1992): 1171h—1171. http://dx.doi.org/10.21273/hortsci.27.11.1171h.

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A study was initiated at the Southwest Purdue Ag Center to demonstrate the effect of transplant age and transplanting date on the scheduling of melon harvests. Muskmelon (Cucumis melo cv. Superstar) was seeded into #38 growing trays with Jiffy-mix media. Seeding dates were such that 14 and 21 day old seedlings were transplanted April 25, May 9, 17 and 24. The plants were grown on black plastic with trickle irrigation Marketable fruit were harvested starting on June 28 and continuing through August 12. Neither transplant age or date had a significant effect on the number of fruit harvested or o

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9

O'Hara, Anthony J., Bruce H. Faaland, and B. Bruce Bare. "Spatially constrained timber harvest scheduling." Canadian Journal of Forest Research 19, no. 6 (1989): 715–24. http://dx.doi.org/10.1139/x89-111.

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Multiple-use management of forests often requires imposition of spatial constraints on the selection of units for harvest. To satisfy such constraints, harvest units must be treated as integral units. A biased sampling search technique is used to find integer solutions to operationally sized problems. Solutions found for the sample problems are within 8% of the upper bound of the corresponding linear programming solution and less than 4% below the upper bound on the true optimum as defined by a confidence interval estimator.

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Montgomery, Claire A., J. Douglas Brodie, and David A. Cleaves. "Allowable Cut Effect and Fire-Damage Appraisal." Western Journal of Applied Forestry 1, no. 4 (1986): 100–103. http://dx.doi.org/10.1093/wjaf/1.4.100.

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Abstract Analysis of investment in forest fire protection and control first requires appraisal of potential loss. Traditional analysis computes the present net worth of harvest and other benefits lost on a stand-by-stand basis. It assumes harvest scheduling without constraints. Forest planning, on the other hand, requires constraints on harvest scheduling and selection of a preferred alternative schedule. The interaction of timber inventory, age-class distribution, and harvest-scheduling constraints leads to a different allowable cut effect in each combination of forest structure and constrain

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Salassi, Michael E., Lonnie P. Champagne, and Benjamin L. Legendre. "Incorporation of Within-Season Yield Growth into a Mathematical Programming Sugarcane Harvest Scheduling Model." Journal of Agricultural and Applied Economics 32, no. 3 (2000): 507–19. http://dx.doi.org/10.1017/s1074070800020605.

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AbstractThis study focuses on the development of a optimal harvest scheduling mathematical programming model which incorporates within-season changes in perennial crop yields. Daily crop yield prediction models are estimated econometrically for major commercially grown sugarcane cultivars. This information is incorporated into a farm-level harvest scheduling linear programming model. The harvest scheduling model solves for an optimal daily harvest schedule which maximizes whole farm net returns above harvesting costs. Model results are compared for a commercial sugarcane farm in Louisiana.

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Karlsson, J., M. Ronnqvist, and J. Bergstrom. "Short-term harvest planning including scheduling of harvest crews." International Transactions in Operational Research 10, no. 5 (2003): 413–31. http://dx.doi.org/10.1111/1475-3995.00419.

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Silva, Pedro Henrique Belavenutti Martins da, Julio Eduardo Arce, Gustavo Valentim Loch, Hassan Camil David, and Luan Demarco Fiorentin. "FOREST HARVEST SCHEDULING PLAN INTEGRATED TO THE ROAD NETWORK." CERNE 22, no. 1 (2016): 69–76. http://dx.doi.org/10.1590/01047760201622012096.

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ABSTRACT In industrial forest plantations, the spatial distribution of management units for harvest scheduling influences the timber production cost and the non-renewable resources consumption, due to issues related to transport logistic. In this context, this research aimed to formulate Integer Linear Programming (ILP) by means of the application of Floyd-Warshall network optimization algorithm to generate timber production routes, minimizing the production costs resulting from harvest activities and forest road maintenance. Then, scenarios were simulated considering different minimal harvest

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Wightman, Rick A., and Emin Z. Baskent. "Forest neighbourhoods for timber harvest scheduling." Forestry Chronicle 70, no. 6 (1994): 768–72. http://dx.doi.org/10.5558/tfc70768-6.

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Forest management involves exploring through time the scheduling opportunities for timber and non-timber values within a forest. The ability to identify and form neighbourhoods — areas of suitable stand conditions and locations — is critical to this endeavour. This paper presents a GIS-based algorithm for identifying and forming forest neighbourhoods suitable for timber harvest scheduling. The resulting neighbourhoods are contiguous and overlapping, composed of stands sharing similar attributes. Similarity is based on a definable similarity list where stand conditions closest to one another in

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15

Goycoolea, Marcos, Alan Murray, Juan Pablo Vielma, and Andres Weintraub. "Evaluating Approaches for Solving the Area Restriction Model in Harvest Scheduling." Forest Science 55, no. 2 (2009): 149–65. http://dx.doi.org/10.1093/forestscience/55.2.149.

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Abstract We survey three integer-programming approaches for solving the area restriction model for harvest scheduling. We describe and analyze each of these approaches in detail, comparing them both from a modeling and computational point of view. In our analysis of these formulations as modeling tools, we show how each can be extended to incorporate additional harvest scheduling concerns. In our computational analysis we illustrate the strengths and weaknesses of each formulation as a practical optimization tool by studying harvest scheduling in four North American forests.

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Yoshimoto, Atsushi, and Patrick Asante. "Inter-Temporal Aggregation for Spatially Explicit Optimal Harvest Scheduling under Area Restrictions." Forest Science 67, no. 5 (2021): 587–606. http://dx.doi.org/10.1093/forsci/fxab025.

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Abstract We propose a new approach to solve inter-temporal unit aggregation issues under maximum opening size requirements using two models. The first model is based on Model I formulation with static harvest treatments for harvest activities. This model identifies periodic harvest activities using a set of constraints for inter-temporal aggregation. The second model is based on Model II formulation, which uses dynamic harvest treatments and incorporates periodic harvest activities directly into the model formulation. The proposed approach contributes to the literature on spatially constrained

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Gvozdenović, Nebojša, and Dejan Brcanov. "Vehicle scheduling in a harvest season." Ekonomika poljoprivrede 65, no. 2 (2018): 633–42. http://dx.doi.org/10.5937/ekopolj1802633g.

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Diaz-Balteiro, Luis, Mercedes Bertomeu, and Manuel Bertomeu. "Optimal harvest scheduling in Eucalyptus plantations." Forest Policy and Economics 11, no. 8 (2009): 548–54. http://dx.doi.org/10.1016/j.forpol.2009.07.005.

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Nelson, J. D., T. Shannon, and D. Errico. "Determining the effects of harvesting guidelines on the age-class profile of the residual forest." Canadian Journal of Forest Research 23, no. 9 (1993): 1870–80. http://dx.doi.org/10.1139/x93-237.

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Chromatic scheduling was used to demonstrate that harvest unit adjacency constraints can be translated into age-class profile constraints that are suitable for regulating the rate of harvest in strategic forest planning models. The advantage of the age-class approach is that strategic harvest rates will reflect the spatial constraints without the onerous task of designing and scheduling cut blocks for the entire forest. Other factors that are relevant to determining the steady-state age-class profile are the exclusion period and the width of the leave strip between any two harvest units. Throu

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Afifah, Eka Nur, Alamsyah Alamsyah, and Endang Sugiharti. "Scheduling Optimization of Sugarcane Harvest Using Simulated Annealing Algorithm." Scientific Journal of Informatics 5, no. 2 (2018): 138–47. http://dx.doi.org/10.15294/sji.v5i2.14421.

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Scheduling is one of the important part in production planning process. One of the factor that influence the smooth production process is raw material supply. Sugarcane supply as the main raw material in the making of sugar is the most important componen. The algorithm that used in this study was Simulated Annealing (SA) algorithm. SA apability to accept the bad or no better solution within certain time distinguist it from another local search algorithm. Aim of this study was to implement the SA algorithm in scheduling the sugarcane harvest process so that the amount of sugarcane harvest not s

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Hof, John G., and Brian M. Kent. "Nonlinear Programming Approaches to Multistand Timber Harvest Scheduling." Forest Science 36, no. 4 (1990): 894–907. http://dx.doi.org/10.1093/forestscience/36.4.894.

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Abstract This paper describes several nonlinear programming formulations of multistand (analysis area) timber harvest scheduling problems and compares these formulations with more traditional approaches. The strengths of the nonlinear programming approaches include the abilities to represent explicit nonlinear timber yield functions and to define continuous harvest timing variables. Optimal control theory has these capabilities but, to date, the technique has not proven applicable to multistand problems or to problems with common exogenous constraints. Linear programming works well with multis

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Beeson, R. C. "Scheduling Woody Plants for Production and Harvest." HortTechnology 1, no. 1 (1991): 30–35. http://dx.doi.org/10.21273/horttech.1.1.30.

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Growth characteristics and marketing of woody ornamentals prevent crop scheduling common in floriculture crops. However, many tasks in the production of woody ornamentals require coordination with the season and/or physiological state of the species. Since most woody ornamental nurseries produce many species or cultivars, a variety of tasks occur concurrently. This review highlights the major tasks required during production for most species of woody plants. The physiological and environmental factors that dictate or influence scheduling are discussed.

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Richards, Evelyn W., and Eldon A. Gunn. "A Model and Tabu Search Method to Optimize Stand Harvest and Road Construction Schedules." Forest Science 46, no. 2 (2000): 188–203. http://dx.doi.org/10.1093/forestscience/46.2.188.

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Abstract An important function of tactical planning in forest management is to choose spatially and temporally explicit schedules for both harvesting and road construction activities. In addition to maintaining consistency with goals of the strategic planning process, harvesting decisions are subjected to spatial, environmental constraints. At the same time, planning and cost of road access over the medium-term planning horizon must be considered.This article presents a model and heuristic solution methodology to address stand level harvest scheduling and the associated road construction sched

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Clements, Stephen E., Patrick L. Dallain, and Mark S. Jamnick. "An operational, spatially constrained harvest scheduling model." Canadian Journal of Forest Research 20, no. 9 (1990): 1438–47. http://dx.doi.org/10.1139/x90-190.

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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 const

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Smaltschinski, Thomas, Ute Seeling, and Gero Becker. "Clustering forest harvest stands on spatial networks for optimised harvest scheduling." Annals of Forest Science 69, no. 5 (2012): 651–57. http://dx.doi.org/10.1007/s13595-012-0182-7.

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Bare, B. Bruce, and Guillermo A. Mendoza. "Timber harvest scheduling in a fuzzy decision environment." Canadian Journal of Forest Research 22, no. 4 (1992): 423–28. http://dx.doi.org/10.1139/x92-055.

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Linear programming is a widely used tool for timber harvest scheduling in North America. However, some potential problems related to infeasible harvest schedules, overly optimistic objective function values, and the need to strictly satisfy all constraints included in deterministic model formulations have been raised. This paper describes a fuzzy approach for explicitly recognizing the imprecise nature of the harvest flow constraints usually included in harvest scheduling models. The objective function and selected constraints are viewed as soft, and satisfactory solutions are derived and disc

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Ross, Kai L., Sándor F. Tóth, and Weikko S. Jaross. "Forest Harvest Scheduling with Endogenous Road Costs." Interfaces 48, no. 3 (2018): 260–70. http://dx.doi.org/10.1287/inte.2017.0926.

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Eyvindson, Kyle, and Annika Kangas. "Integrating risk preferences in forest harvest scheduling." Annals of Forest Science 73, no. 2 (2015): 321–30. http://dx.doi.org/10.1007/s13595-015-0517-2.

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SARIMEHMET, Bedirhan, Hacı Mehmet ALAKAŞ, Mehmet PINARBAŞI, and Tamer EREN. "MATHEMATİCAL MODEL SUGGESTİON FOR TEA HARVEST SCHEDULİNG." Mühendislik Bilimleri ve Tasarım Dergisi 11, no. 3 (2023): 925–38. http://dx.doi.org/10.21923/jesd.1244145.

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Uluslar sürdürülebilir tarım faaliyetleri gerçekleştirmek için toplumsal olarak karar mekanizması geliştirmeye ve optimizasyona ihtiyaç duymaktadır. Hasat çizelgeleme de bu karar verme ve optimizasyon problemlerinden biridir. Bu çalışmada, yılda ortalama üç kez hasat edilen çay bitkisi için bir hasat optimizasyonu gerçekleştirilmiştir. Çiftçilikle mevsimlik olarak ilgilenen insanların genellikle birincil meslekleri farklıdır. Hasat günlerinde çiftçiler bu birincil mesleklerini yerine getirememektedir. Bu nedenle, hasat çizelgesinin oluşturulması için çiftçilerin uygun gün tercihlerinin de dikk

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Hafiz, Muhammad, Nuraeni Dahri, and Harry Setya Hadi. "WEB-BASED HONEY HARVEST SCHEDULING IN THE MUARO BOTUAK JAYA (MBJ) GROUP." Jurnal Manajemen Teknologi Informatika 1, no. 3 (2023): 134–42. http://dx.doi.org/10.70038/jentik.v1i3.57.

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This research is motivated by the mechanism of the conventional honey harvesting system. The harvest schedule is carried out irregularly, resulting in honey that is less than the quality and quantity. Usually this problem can be resolved with an integrated information system that is effective and efficient in managing harvest scheduling. Systems Development Life Cycle (SDLC) SDLC method with a waterfall model approach. The design tools used in this information system are UML, which consists of usecase diagrams, class diagrams, sequence diagrams, activities, collaboration diagrams, implementati

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Bagaram, Martin B., and Sándor F. Tóth. "Multistage Sample Average Approximation for Harvest Scheduling under Climate Uncertainty." Forests 11, no. 11 (2020): 1230. http://dx.doi.org/10.3390/f11111230.

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Forest planners have traditionally used expected growth and yield coefficients to predict future merchantable timber volumes. However, because climate change affects forest growth, the typical forest planning methods using expected value of forest growth can lead to sub-optimal harvest decisions. In this paper, we propose to formulate the harvest planning with growth uncertainty due to climate change problem as a multistage stochastic optimization problem and use sample average approximation (SAA) as a tool for finding the best set of forest units that should be harvested in the first period e

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Jordan, G. A., and E. Z. Baskent. "A case study in spatial wood supply analysis." Forestry Chronicle 68, no. 4 (1992): 503–16. http://dx.doi.org/10.5558/tfc68503-4.

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This paper shows the effects of extraction economics and wildlife habitat values on wood supply for a 9,640 stand forest in New Brunswick. Using a spatial wood supply model developed at the University of New Brunswick, the paper quantifies and explains wood supply effects of harvest blocking, road cost and harvest adjacency delay. Eight spatial strategies test harvest scheduling based on geographic forest structure (distribution of stand developmental types and stages). Given a forest of mostly regenerating and mature developmental stages, wood supply reductions vary from 4.9% to 19.2% when co

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Eyvindson, Kyle, Jussi Rasinmäki, and Annika Kangas. "Evaluating a hierarchical approach to landscape-level harvest scheduling." Canadian Journal of Forest Research 48, no. 2 (2018): 208–15. http://dx.doi.org/10.1139/cjfr-2017-0298.

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Forest planning at the landscape level has the potential to become a large intractable problem. In Finland, Metsähallitus (the state enterprise that manages federally owned land) creates strategic plans to determine the appropriate harvest level. While these plans are feasible, they are not implementable in practice as the harvests are scattered temporally and spatially. Requiring that harvests be organized both temporally and spatially for practical implementation can result in an intractable problem. Through a hierarchical approach, the problem can be organized into steps in which the intrac

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Boston, Kevin, John Sessions, Robin Rose, and Will Hoskins. "Incorporating Regeneration Effort as a Decision Variable in Tactical Harvest Scheduling." Western Journal of Applied Forestry 24, no. 2 (2009): 61–66. http://dx.doi.org/10.1093/wjaf/24.2.61.

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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 gr

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Zhang, Weipeng, Bo Zhao, Liming Zhou, et al. "Harvester Maintenance Resource Scheduling Optimization, Based on the Combine Harvester Operation and Maintenance Platform." Agriculture 12, no. 9 (2022): 1433. http://dx.doi.org/10.3390/agriculture12091433.

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The combine harvester is the main machine for fieldwork during the harvest season. When the harvester fails and cannot continue to work, this indirectly affects the harvest time and the yield in the field. The emergency maintenance service of agricultural machinery can be optimized through the dynamic planning of harvester maintenance tasks, using the operation and maintenance platform. According to the scene, a priority scheme for the operation and maintenance tasks, based on the improved Q-learning algorithm, was proposed. The continuous approximation capability of the model was improved by

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Bettinger, P., K. Rasheed, F. Maier, and K. Merry. "Associations between forest harvest scheduling and artificial intelligence." International Forestry Review 26, no. 4 (2024): 387–97. https://doi.org/10.1505/146554824839334650.

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Contemporary tactical forest harvest scheduling efforts address planning problems that generally have an economic or commodity production objective, accounting routines to accumulate outcomes or to assess the extent of forest conditions, and constraints (policy or resource) that limit the assignment of management actions to subdivisions of a forest (stands or strata). Operations research methods have proven useful for addressing these problems and providing guidance, in the form of a harvest schedule, to people managing forests. Heuristic search and simulation methods have also shown promise f

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Falcão, André O., and José G. Borges. "Designing an Evolution Program for Solving Integer Forest Management Scheduling Models: An Application in Portugal." Forest Science 47, no. 2 (2001): 158–68. http://dx.doi.org/10.1093/forestscience/47.2.158.

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Abstract In this article, basic concepts of both genetic algorithms and evolution program design are presented. An evolution program is presented to solve a Model I harvest scheduling problem with 0-1 decision variables for the management alternatives for each stand, with annual constraints on harvested volume. An appropriate data structure (i.e., chromosome representation) is presented, as well as modified selection, crossover, and mutation strategies specially designed for application to large forest scheduling problems. Emphasis is on designing an efficient evolution program to address the

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Konoshima, M., R. Marušák, and A. Yoshimoto. "Spatially constrained harvest scheduling for strip allocation under Moore and Neumann neighbourhood adjacency." Journal of Forest Science 57, No. 2 (2011): 70–77. http://dx.doi.org/10.17221/47/2010-jfs.

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Adjacency constraints can be represented by Moore or Neumann neighbourhood adjacency, depending upon how candidate neighbours are assigned at corners adjacent to the target cell. Considering Moore and Neumann neighbourhood adjacency, we investigate the effect of strip cutting under a shelterwood management scheme with adjacency requirements among strips. We compare the effect of creating a strip window within a management unit with the same spatially constrained problem without a strip window. The management scheme comparison is considered as a spatially constrained harvest scheduling problem,

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Bettinger, Pete, Kevin Boston, and John Sessions. "Intensifying a heuristic forest harvest scheduling search procedure with 2-opt decision choices." Canadian Journal of Forest Research 29, no. 11 (1999): 1784–92. http://dx.doi.org/10.1139/x99-160.

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Forest management problems with even-flow and adjacency considerations are difficult to solve optimally. A heuristic search intensification process, which uses two types of decision procedures, changes to single-decision choices (1-opt moves) and changes to two-decision choices simultaneously (2-opt moves), was used in an attempt to locate feasible and efficient solutions to these problems. One-opt moves involve changing the timing of timber harvests for a single land unit and are commonly used in heuristic techniques. Two-opt moves involve swapping the harvest timing between two land units, w

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Lockwood, Carey, and Tom Moore. "Harvest scheduling with spatial constraints: a simulated annealing approach." Canadian Journal of Forest Research 23, no. 3 (1993): 468–78. http://dx.doi.org/10.1139/x93-065.

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Simulated annealing is a stochastic approach to solving large combinatorial problems. This approach was used to model a harvest scheduling problem having block size constraints (no limit, 100–200, and 200–400 ha), a 20-year adjacency delay, and objectives to meet harvest volume targets on the minimum area possible. Spatially explicit harvest schedules complying with the constraints were successfully generated on test data sets of 6148 and 27 548 forest stands.

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Jamnick, M. S., L. S. Davis, and J. K. Gilless. "Influence of land classification systems on timber harvest scheduling models." Canadian Journal of Forest Research 20, no. 2 (1990): 172–78. http://dx.doi.org/10.1139/x90-024.

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Differences between linear program based timber harvest schedules that use decision variables based on stand types (homogeneous but generally noncontiguous areas) and management units (generally heterogeneous but contiguous areas) were investigated. It was proposed that (i) optimal harvest schedules identified using stand type decision variables should have larger present net value objective function values than those identified using models with management unit decision variables, (ii) optimal present net value objective function values in management unit models should decline as management u

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Frisk, Mikael, Patrik Flisberg, Mikael Rönnqvist, and Gert Andersson. "Detailed scheduling of harvest teams and robust use of harvest and transportation resources." Scandinavian Journal of Forest Research 31, no. 7 (2016): 681–90. http://dx.doi.org/10.1080/02827581.2016.1206144.

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Savage, David W., David L. Martell, and B. Mike Wotton. "Evaluation of two risk mitigation strategies for dealing with fire-related uncertainty in timber supply modelling." Canadian Journal of Forest Research 40, no. 6 (2010): 1136–54. http://dx.doi.org/10.1139/x10-065.

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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 vari

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Yoshimoto, Atsushi. "Tactical Harvest Scheduling using Zero-one Integer Programming." Journal of Forest Planning 2, no. 1 (1996): 13–24. http://dx.doi.org/10.20659/jfp.2.1_13.

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VILLANUEVA, T. R., and A. G. D. WHYTE. "INTEGRATED GROWTH MODELLING AND HARVEST SCHEDULING WITH SPREADSHEETS." Japanese Journal of Forest Planning 20 (1993): 61–72. http://dx.doi.org/10.20659/jjfp.20.0_61.

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Torres-Rojo, Juan M., and J. Douglas Brodie. "Adjacency constraints in harvest scheduling: an aggregation heuristic." Canadian Journal of Forest Research 20, no. 7 (1990): 978–86. http://dx.doi.org/10.1139/x90-131.

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An heuristic for adjacency constraint aggregation is proposed. The heuristic is composed of two procedures. Procedure 1 consists of identifying harvesting areas for which it is not necessary to write adjacency constraints. Procedure 2 consists of writing one adjacency constraint for each one of the harvesting areas not identified in procedure 1. Such adjacency constraints consider all the adjacency relations between the harvesting area and its surrounding areas. The heuristic is based on the concept of penalties and the four-color theorem. The aggregated constraints present fewer variables per

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Blatner, Keith A., and William A. Leuschner. "Forest Regulation, Harvest Scheduling and Planning Techniques. 1990." Journal of Range Management 47, no. 1 (1994): 94. http://dx.doi.org/10.2307/4002849.

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Sethanan, Kanchana, Somnuk Theerakulpisut, Panwipa Taechasook, Woraya Neungmatcha, and Sujin Bureerat. "Sugarcane Harvest Scheduling for Maximizing Total Sugar Yield." Advanced Science Letters 19, no. 10 (2013): 3122–25. http://dx.doi.org/10.1166/asl.2013.5096.

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Munoz, Francisco, and Seokcheon Lee. "Sugarcane Harvest Scheduling Using a Distributed Control Approach." Procedia Manufacturing 39 (2019): 1149–57. http://dx.doi.org/10.1016/j.promfg.2020.01.355.

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Boyland, M., J. Nelson, and F. L. Bunnell. "A test for robustness in harvest scheduling models." Forest Ecology and Management 207, no. 1-2 (2005): 121–32. http://dx.doi.org/10.1016/j.foreco.2004.10.022.

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