Scheduling forest road maintenance using the analytic hierarchy process and heuristics

Coulter, Elizabeth Dodson; Sessions, John; Wing, Michael G.

doi:10.14214/sf.357

Cited by 36 publications

(21 citation statements)

References 11 publications

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“…Then the geometric mean was used to incorporate the ratings of decision makers (Aczel, Saaty 1983). After the pair-wise comparison matrices were completed, the inconsistency and weights were derived using the eigenvector method (Saaty 2000;Coulter et al 2003). Then the factors were combined in the form of a weighted linear combination:…”

Section: Methodsmentioning

confidence: 99%

“…In road planning different kinds of criteria often exist, particularly with environmental factors. Coulter et al (2003) stated that AHP provides a useful framework to provide quantitative measures of environmental benefits of forest road maintenance. Also Coulter et al (2006) stated that AHP has the potential to provide a consistent approach to the ranking of forest road investments based on multiple criteria.…”

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confidence: 99%

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A GIS-MCE based model for forest road planning

Abdi¹,

Majnounian²,

Darvishsefat³

et al. 2009

J. For. Sci.

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ABSTRACT:One of the cost factors in forest management is the development of road infrastructure. The objective of study was to develop a method using GIS and Multi-criteria Evaluation (MCE) to design a forest road network with the lowest construction cost while maintaining other technical requirements. Six road alternatives meeting technical requirements were developed using PEGGER. Then MCE was used to evaluate the construction costs of the candidate networks. The decision making group identified six factors as being relevant to the costs of forest roads. Then factors were compared in a pair-wise comparison, in the context of the Analytic Hierarchy Process to develop weights of map layers. Then weights and factors were entered into the MCE module to create a final suitability map. The total cost of each alternative was extracted from the suitability map and the unit cost of each alternative was calculated. The results showed that alternatives one and two had the highest and lowest unit costs, respectively. The results illustrated the utility of using GIS and MCE to improve the planning process.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

A GIS-MCE based model for forest road planning

Abdi¹,

Majnounian²,

Darvishsefat³

et al. 2009

J. For. Sci.

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show abstract

“…Maintenance prioritization (Farhan & Fwa, 2009;Moazami et al, 2011;Taghipour et al, 2011) (Ouma et al, 2015) (Wakchaure & Jha, 2011) (Liu et al, 2012;Cafiso et al, 2002;Hankach et al, 2011;Trojan & Morais, 2012b) (Monte & de Almeida-Filho, 2016;de et al, 2015b) Resource Planning (Azadeh et al, 2013) Almeida et al, 2013) (Garmabaki et al, 2016;de Almeida., 2001;Liu & Frangopol, 2006) Maintenance Scheduling (Coulter et al, 2006;Eslami et al, 2014) ( Van et al, 2013) (Certa et al, 2013) (Almeida, A. T., 2012) Operational Level…”

Section: Expert Maintenance Systemsmentioning

confidence: 99%

Data quality assessment of maintenance reporting procedures

Madhikermi

Kubler

Robert

et al. 2016

Expert Systems with Applications

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Today's largest and fastest growing companies' assets are no longer physical, but rather digital (software, algorithms. . . ). This is all the more true in the manufacturing, and particularly in the maintenance sector where quality of enterprise maintenance services are closely linked to the quality of maintenance data reporting procedures. If quality of the reported data is too low, it can results in wrong decision-making and loss of money. Furthermore, various maintenance experts are involved and directly concerned about the quality of enterprises' daily maintenance data reporting (e.g., maintenance planners, plant managers. . . ), each one having specific needs and responsibilities. To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is hardly considered in existing expert maintenance systems, this paper develops a Maintenance Reporting Quality Assessment (MRQA) dashboard that enables any company stakeholder to easily -and in real-time -assess/rank company branch offices in terms of maintenance reporting quality. From a theoretical standpoint, AHP is used to integrate various data quality dimensions as well as expert preferences. A use case describes how the proposed MRQA dashboard is being used by a Finnish multinational equipment manufacturer to assess and enhance reporting practices in a specific or a group of branch offices.

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“…Rodriguez-Perez et al (2007) pointed out that the use of GPS in the forest ecosystem introduces problems related to signal reception under the forest canopy, including the visibility of satellites in a given territory at the time of measurement. Coulter et al (2006) were convinced that the best method to set the maintenance plan of a forest road network is a combination of heuristic analysis, analysis of financial costs and impacts on the environment, and "expert judgment". They are one of the few authors who add a certain degree of the experience of the staff responsible for the forest road network condition to the otherwise mostly exact method of decision-making.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Forest Hauling Roads Wearing Course Damage Using Unmanned Aerial Systems

Hrůza¹,

Mikita²,

Janata³

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Currently, a large part of the forest roads that were built using the bituminous surface technology in the second half of the last century have been worn out. This means that forest owners and forest managers urgently need to determine the amount and extent of this damage and establish a suitable repair plan, which demands both time and staff. The aim of the study is to verify whether it is possible, and with what precision, to detect the damage of the wearing course by means of unmanned aerial systems, which would facilitate and accelerate this process and possibly make it cheaper. A 3D model of a forest road was created using photos of the current state of a damaged part of a forest road. The aerial photographs were taken by an unmanned aircraft. To verify the accuracy of the model, cross sections of the road surface were surveyed tachymetrically and compared with the cross sections created in the 3D model in ArcMap, from photogrammetric pointcloud using aerial photographs from the unmanned aircraft. The RMSE of the values of the control points in the 3D model cross sections compared to the values of the points in the tachymetric measurement of the cross sections reached to within 0.0198 m. The results of the tested road section showed that the unmanned aerial systems can be used to detect the forest road surface damage with the difference in accuracy being up to 2 cm compared with the accuracy of the current tachymetric methods. Based on the results we can conclude that the used method is appropriate for detailed monitoring of the condition of the asphalt wearing course of forest roads and allows for a precise and objective localization and quantification of damage.

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Scheduling forest road maintenance using the analytic hierarchy process and heuristics

Cited by 36 publications

References 11 publications

A GIS-MCE based model for forest road planning

A GIS-MCE based model for forest road planning

Data quality assessment of maintenance reporting procedures

Monitoring of Forest Hauling Roads Wearing Course Damage Using Unmanned Aerial Systems

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