Employing an analytic hierarchy process to prioritize factors influencing surface  roughness of wood and wood-based materials in the sawing process

Singer, Hilal; Özşahin, Şükrü

doi:10.3906/tar-1801-138

Cited by 11 publications

(6 citation statements)

References 31 publications

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“…Firstly, the evaluation index system of forest green food industry competitiveness is first constructed. Fuzzy evaluation method [35] and AHP [36] are used for the empirical analysis of the competitiveness of forest green food industry in Yunnan Province. Fuzzy evaluation method has the characteristics of clear results and strong systematicness.…”

Section: Methodsmentioning

confidence: 99%

The measurement of competitiveness of forest green food industry in Yunnan Province

Udimal

et al. 2021

PLoS ONE

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Improvement in living standards has led to the development and utilization of forest green foods. The study seeks to examine the foundation and potential of forest green food industry in Yunnan Province. By constructing the industrial competitive advantage model, this paper measured and analyzed the competitiveness of forest green food industry in Yunnan Province from 2016 to 2020 by using fuzzy evaluation method and AHP. The conclusions were as follows: (1) The competitiveness of forest green food industry in Yunnan Province was at a medium level with competitiveness index of 83.98. (2) The competitive advantage of forest green food industry in Yunnan Province mainly depended on key factors such as natural endowment and education level. The area is however not having comparative advantage in general factors and important factors. Therefore, there is the need to put in place measures to realise the full potential of forest green food industry in the area by providing players in the sector with requisite skills.

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Section: Methodsmentioning

confidence: 99%

The measurement of competitiveness of forest green food industry in Yunnan Province

Udimal

et al. 2021

PLoS ONE

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“…Each criterion is quantified by finding the value of the maximized eigenvalue, consistency index (CI), and consistency ratio (CR) [52]. The CR is used in order to maintain consistency in the decision-making of the responder.…”

Section: Methodsmentioning

confidence: 99%

How to Design a Successful Digital Product? An Analytic Hierarchy Process (AHP) Analysis of Expert Opinions from the Berlin Start-up Scene

Azka¹,

Chankov

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Designing the best digital product is vital for the competitiveness of any organization. Thus, this paper aims to determine the critical success design factors and to create guidelines for start-up founders, product managers, designers and entrepreneurs on how to design a successful digital product. To this end, six key design factors and 24 respective sub-factors were identified based on literature and expert opinions. Further, 21 experts were surveyed regarding their priorities on these factors, using the analytic hierarchy process (AHP). The results suggest that high-level planning design is the most important success factor, while having clear product vision, discovery, strategy and goals, building a great user experience, and creating an aesthetic user interface are the top three priority sub-factors for successful digital products.

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“…Karakuş et al (2017) employed the TOPSIS method, the multiple attribute utility theory, and the compromise programing to predict the optimum properties of some nanocomposites. Singer and Özşahin (2018Singer and Özşahin ( , 2020aSinger and Özşahin ( , 2020b prioritized some factors influencing the surface roughness of wood and wood-based materials in sawing, planing, and CNC machining. Özşahin et al (2019) employed AHP and MOORA to select the best softwood species for construction.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Evaluation of Structural Composite Lumber Products

Singer

Özşahin

2020

Journal of Anatolian Environmental and Animal Sciences

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In this study, laminated veneer lumber, parallel strand lumber, and laminated strand lumber were evaluated via multicriteria decision-making methods. Within the model, nine evaluation criteria were defined: moisture content, density, bending strength, modulus of elasticity, compression strength parallel to grain, dynamic bending strength, tensile strength parallel to surface, tensile strength perpendicular to surface, and screw holding capacity. The weights of the criteria were computed using the fuzzy analytic hierarchy process (FAHP). The evaluation based on distance from an average solution (EDAS) and the technique for order preference by similarity to an ideal solution (TOPSIS) were employed to determine the ranking of the alternatives. After the borda count method was used, an integrated ranking was obtained. According to the results, the first three important subcriteria were density, bending strength, and modulus of elasticity. Furthermore, laminated veneer lumber was determined as the best alternative. Consequently, this study can present a road map to evaluate wooden materials.

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Employing an analytic hierarchy process to prioritize factors influencing surface roughness of wood and wood-based materials in the sawing process

Cited by 11 publications

References 31 publications

The measurement of competitiveness of forest green food industry in Yunnan Province

The measurement of competitiveness of forest green food industry in Yunnan Province

How to Design a Successful Digital Product? An Analytic Hierarchy Process (AHP) Analysis of Expert Opinions from the Berlin Start-up Scene

Multicriteria Evaluation of Structural Composite Lumber Products

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