scholarly journals Material Selection of Natural Fibers for Composite Automotive Component Using Analytic Hierarchy Process/Analytic Network Process in Concurrent Engineering Approach

2019 ◽  
Vol 801 ◽  
pp. 53-58 ◽  
Author(s):  
Mohd Taha Mastura ◽  
S.M. Sapuan ◽  
Muhammad Noryani
Keyword(s):  
Analytic Hierarchy Process ◽  
Natural Fiber ◽  
Material Selection ◽  
Analytic Network Process ◽  
Design Development ◽  
Analytic Hierarchy ◽  
Automotive Components ◽  
Network Process ◽  
Hierarchy Process ◽  
Selection Of

Material selection of natural fiber for composite based products is an essential process in product design development especially in application of automotive components. Several factors need to be considered concurrently and dependency among the factors should be evaluated during the judgement. Therefore, a proposed approach is presented in this study by using Analytic Hierarchy Process/Analytic Network Process (AHP/ANP) to prioritize the criteria for material selection of natural fiber composites automotive components. AHP computes the priority values from pairwise comparison basis and ANP derives the global priority values based on the inner dependency of the criteria. As in a case study, flax fibers obtained the highest value (19%) and rank as number one fibers in the selection where tensile strength is the most significant criteria. Thus, application of AHP/ANP would derive a more reliable and accurate judgement in material selection and their flexibility allows integration with other decision making tools.

Site selection for landfill gas extraction plant by fuzzy analytic hierarchy process and fuzzy analytic network process in the city of Najafabad, Iran

2017 ◽  
Vol 28 (7) ◽  
pp. 763-774 ◽  
Author(s):  
Mohammad Saeed Khademalhoseiny ◽  
Mozhgan Ahmadi Nadoushan ◽  
Hadi Radnezhad
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytic Network Process ◽  
Biogas Plant ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process ◽  
The City ◽  
Fuzzy Analytic Network Process ◽  
Selection Of

For the selection of the suitable place for the construction of sanitary landfill and biogas plant in the city of Najaf Abad, this study used fuzzy analytic hierarchy process, fuzzy analytic network process, and geographic information system. In this research, factors such as slope, aspect, geology, land use, biomass, and distance from groundwater, electricity network, protected areas, and roads were used as the most important criteria for site selection of biogas plant. The results of weighting and overlaying the maps of different criteria showed that based on the analytic network process, the best place selected for the establishment of biogas reactor was located in the southwest and based on analytic hierarchy process, the best places are located in the south and southwest of the study area. Suggested places, which are the best for the establishment of biogas plant, are located in barren lands of Najaf Abad. Moreover, according to the result, it is found that 10% and 11% of the study area are highly suitable based on fuzzy analytic hierarchy process and analytic network process methods, respectively. The results showed that the usage of fuzzy analytic hierarchy process, fuzzy analytic network process as multi-criteria decision-making methods in combination with geographic information system are suitable for selecting the best place for landfill and biogas plant.

Diminishing Utility Decision Model for Weighting Criteria

2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Marginal Utility ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Absorbing State ◽  
Network Process ◽  
Diminishing Marginal Utility ◽  
Hierarchy Process

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.

The Analytic Network Process – Dependence and Feedback in Decision-Making

2011 ◽  
pp. 360-387 ◽  
Author(s):  
Thomas L. Saaty
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Market Share ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Fundamental Scale ◽  
Network Process ◽  
Independence Assumptions ◽  
Hierarchy Process ◽  
Pair Wise Comparison

Simple multi-criteria decisions are made by deriving priorities of importance for the criteria in terms of a goal and of the alternatives in terms of the criteria. Often one also considers benefits, opportunities, costs and risks and their synthesis in an overall outcome. The Analytic Hierarchy Process (AHP) with its independence assumptions, and its generalization to dependence among and within the clusters of a decision — the Analytic Network Process (ANP), are theories of prioritization and decision-making. Here we show how to derive priorities from pair-wise comparison judgments, give the fundamental scale for representing the judgments numerically and by way of validation illustrate its use with examples and then apply it to make a simple hierarchic decision in two ways: pair-wise comparisons of the alternatives and rating the alternatives with respect to an ideal. Network decisions are discussed and illustrated with market share examples. A mathematical appendix is also included.

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