Multi-criteria decision making method for selection of machine tool

Tsai, Jo‐Peng; Cheng, Hsin-Yu; Wang, Shan-Yang; Kao, Yung‐Chou

doi:10.1109/3ca.2010.5533376

Cited by 12 publications

(12 citation statements)

References 7 publications

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“…The TOPSIS method (Yang, et. al., 2008;Tsai, et al, 2010) will be used to rank alternatives based on the criteria obtained, comparing alternatives' distances from ideal solutions. The goal is at the top of the hierarchy, while the criteria, sub-criteria and alternatives are at the lower levels.…”

Section: Methodsmentioning

confidence: 99%

Application of quantitative models in the organization of the financial function of agricultural enterprises

Milojević

Mihajlović

Popović

et al. 2020

Ekonomika poljoprivrede

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The role and content of the financial function can be seen through the identification of its tasks. They determine the volume and method of organization of the financial function in agricultural enterprises. Hierarchical priorities of tasks, their volume and complexity, the impact on business efficiency are just some aspects that affect its organization. Multi-criteria optimization methods can be used in choosing the organization and setting the model of job specialization within the organizational structure of the financial function of agricultural enterprises. By applying the individual methods that have been applied so far, not all requirements could be fully covered, so in this paper we applied a hybrid optimization model -DEMATEL-TOPSIS. The DEMATEL method was used for obtaining the weighting coefficients of the criteria on the basis of which the evaluation of alternatives was performed. The selection of criteria for evaluating the model was based on the analysis of the available literature. Evaluation and selection of models was performed using a multicriteria method -TOPSIS. The paper presents the practical application and sensitivity analysis of the TOPSIS method.

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Section: Methodsmentioning

confidence: 99%

Application of quantitative models in the organization of the financial function of agricultural enterprises

Milojević

Mihajlović

Popović

et al. 2020

Ekonomika poljoprivrede

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“…The knowledge-based cluster of approaches is implemented upon a polar robot performance appraisement framework, tackling mixed information. In the presented research, the crucial seven quantitative and four qualitative measures are elected to meet the defies of current AMMs selection problem and for building AMMs (polar robots) evaluation model based on a literature survey (Sun, 2002;Bhangale et al, 2004;Abdi, 2009;Tsai et al, 2010;Bairagi et al, 2012;Ayag and Ozdemir, 2012;Sahu et al, 2015). In built model, capital cost ðC 1 Þ, speed ðC 2 Þ, load carrying capacity ðC 3 Þ, depreciation ðC 4 Þ, maintenance cost ðC 5 Þ, degree of freedom ðC 6 Þ and power consumption ðC 7 Þ correspond the technical cum cost capabilities and are considered the quantitative information.…”

Section: A Hypothetical Case Research: Quantification Of Economic Worth Under Technical Cum Cost and Agility Measures Of Polar Robotsmentioning

confidence: 99%

“…Brauers and Zavadskas (2010) disclosed the significant benefits of MOORA and suggested to exploit it for handling different sets of objectives under distinguish units. Tsai et al (2010) revealed the path to determine the significant measures for selecting machine tools specifications. They determined the same by consulting it with the experts and demonstrated the application of MCDM algorithmic model for selecting significant CNC machine tool alternative.…”

Section: Introduction and Literature Surveymentioning

confidence: 99%

Exploitation of the advanced manufacturing machine tool evaluation model under objective-grey information: a knowledge-based cluster with the grey relational analysis approach

Luo

et al. 2020

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PurposeAdvanced manufacturing machines (AMMs) are searched as a momentous asset across the manufacturing societies for quenching and addressing the production units under economical circumstances, i.e. production of high-quality of goods under feasible cost. AMMs are significant in holding the managers against their rivals and competitors with high profit margins. The authors developed the decision support mechanism/portfolio (DSM-P) consist of knowledge-based cluster approach with a dynamic model. The purpose of research work is to measure overall economic worth of AMMs under objective and grey-imperfect (mixed) data by exploring the proposed DSM-P.Design/methodology/approachThe authors developed the DSM-P that consist of knowledge-based cluster, three multi-criteria decision-making (MCDM) techniques-1-2-3 with complementary grey relational analysis-4(GRA), approach with a dynamic model (complied by technical plus cost and agility measures of AMMs). The proposed DSM-P enables the manager to map the overall economic worth of candidate AMMs under objective and grey-mixed data.FindingsThe presented DSM-P assist the managers for handling the selection problem of AMMs, i.e. CNCs, robots, automatic-guided vehicle, etc under mixed (objective cum grey) data. To enable the readers for intensely understand the work, the utility of proposed approach is displayed by illustrating a polar robot evaluation and selection problem. It is ascertained that the robot candidate-11 alternative is fulfilling the entire technical cum cost and agility measures.Originality/valueThe DSM-P provides more precise and reliable outcomes due to a usage of the dominance theory. Under the dominance theory, the ranks are obtained by MCDM techniques-1-2-3 are compared with ranks gathered by the GRA-4 under objective cum grey data, formed the novelties in presented research work. From a future perspective, the grey-based models in DSM-P can be built/extended/constructed more extensive and can be simulated by the same approach.

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“…Çimren, Budak, and Çatay (2004) designed software using the same technique to identify the best machining center among 236 alternatives, considering reliability, precision, and cost. Tsai, Cheng, Wang, and Kao (2010) selected the best 4-axis CNC machining center among three alternatives, considering reliability, cost, maintenance and service, safety and environment, and space.…”

Section: Introductionmentioning

confidence: 99%

Lathe Selection Using Analytic Hierarchy Process and Information Axiom

Kentli¹,

Akbaş²

2016

CBUP

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Selection of appropriate equipment, place, or employee is a problem that needs consideration by industry, as capacities develop and efficiencies become more valued over the recent decades. Several decisionmaking techniques have been developed and applied to many different areas to evaluate their reliability. This study focuses on the application of a hybrid decision-making technique of Analytic Hierarchy Process and Information Axiom to solve the problem of lathe selection. Results show that appropriate machine tools can easily be selected within a short time using this approach. UDC Classification: 621.7 DOI: http://dx

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Multi-criteria decision making method for selection of machine tool

Cited by 12 publications

References 7 publications

Application of quantitative models in the organization of the financial function of agricultural enterprises

Application of quantitative models in the organization of the financial function of agricultural enterprises

Exploitation of the advanced manufacturing machine tool evaluation model under objective-grey information: a knowledge-based cluster with the grey relational analysis approach

Lathe Selection Using Analytic Hierarchy Process and Information Axiom

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