Rapid tooling manufacturability evaluation using fuzzy-AHP methodology

Nagahanumaiah,; Ravi, B.; Mukherjee, Nayana

doi:10.1080/00207540600622431

Cited by 26 publications

(17 citation statements)

References 19 publications

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“…AHP is a combination of the qualitative and quantitative analysis methods for multicriteria decision making developed by Saaty (1985Saaty ( , 1990. It has been studied widely and applied in many fields related with multicriteria decision making such as manufacturing (Nagahanumaiah et al, 2007), management (Rezaei & Dowlatshahi, 2010), education (Melón et al, 2008), government (Huang et al, 2008), and so on. The widely variety of applications is due to its simplicity, ease of use, and flexibility of integration with other technologies.…”

Section: Ahp Methodsmentioning

confidence: 99%

Machining scheme selection based on a new discrete particle swarm optimization and analytic hierarchy process

Wang

et al. 2014

AIEDAM

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The goal of machining scheme selection (MSS) is to select the most appropriate machining scheme for a previously designed part, for which the decision maker must take several aspects into consideration. Because many of these aspects may be conflicting, such as time, cost, quality, profit, resource utilization, and so on, the problem is rendered as a multiobjective one. Consequently, we consider a multiobjective optimization problem of MSS in this study, where production profit and machining quality are to be maximized while production cost and production time must be minimized, simultaneously. This paper presents a new discrete method for particle swarm optimization, which can be widely applied in MSS to find out the set of Pareto-optimal solutions for multiobjective optimization. To deal with multiple objectives and enable the decision maker to make decisions according to different demands on each evaluation index, an analytic hierarchy process is implemented to determine the weight value of evaluation indices. Case study is included to demonstrate the feasibility and robustness of the hybrid algorithm. It is shown from the case study that the multiobjective optimization model can simply, effectively, and objectively select the optimal machining scheme according to the different demands on evaluation indices.

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Section: Ahp Methodsmentioning

confidence: 99%

Machining scheme selection based on a new discrete particle swarm optimization and analytic hierarchy process

Wang

et al. 2014

AIEDAM

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“…Chan and Kumar (2007) proposed a model on supplier global development problem by utilizing FAHP as a multiple criteria decision-making approach. Chan and Kumar (2007) proposed risk-based global supplier development model utilizing with fuzzy extended AHP-based approach (Nagahanumaiah & Mukherjee, 2007). Bozbura, Beskese, and Kahraman (2007) and proposed systematic by utilizing a methodology based on the extent FAHP in fuzzy environment to determine the priorities of human capital measurement indicators.…”

Section: Theory Of Fuzzy Analytic Hierarchy Process and Chang's Extenmentioning

confidence: 99%

Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry

Celik

Özok

2009

Expert Systems with Applications

156

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“…The method was proposed by the professor Thomas A. Saaty in '70 years of the previous century and from that time, many scientific studies and applications were made. When applying the AHP method, the problems corresponding to certain stages must be successively solved [4][5][6][7][8].…”

Section: Theoretical Considerationsmentioning

confidence: 99%

“…A version of fuzzy-AHP methodology was used by Nagahanumaiah et al in the evaluation of rapid tooling manufacturability in the case of an injection mold [6]. They appreciated that the proposed methodology facilitates introducing a minor modification of the mold design when the problem of improving the mold manufacturability cost is stated.…”

Section: Alternativementioning

confidence: 99%

Optimal Selection of Equipment for Injection Molding Process using the AHP Method

et al. 2019

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Increased interest in the study of plastics has led to the development of processing technologies using such materials. The variety of plastics has led to a diversification of the technical processes through which the finished plastic products can be obtained. We approached the idea of designing plastic injection equipment, considering that various research could be made on the phenomena involved during the process, as well as the observation of the technological properties of the plastics. To design such equipment, some known methods used in conception processes could be applied. Optimizing the equipment design process is one of the elements that can ensure high efficiency of the entire injection molding process. Thus, the method chosen in this case was the analytic hierarchy process (AHP) method, which is one of the methods that offer the possibility to choose a solution when there are many alternatives. The relative simplicity and precision of this method are some of the arguments behind this method. The combination of required equipment and application of the AHP method allowed the choice of an optimal solution for testing injection molding. The result of design activity was an alternative to equipment that can be used for developing future research.

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Rapid tooling manufacturability evaluation using fuzzy-AHP methodology

Cited by 26 publications

References 19 publications

Machining scheme selection based on a new discrete particle swarm optimization and analytic hierarchy process

Machining scheme selection based on a new discrete particle swarm optimization and analytic hierarchy process

Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry

Optimal Selection of Equipment for Injection Molding Process using the AHP Method

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