Productivity improvement under manufacturing environment using Shainin system and fuzzy analytical hierarchy process: a case study

Mittal, Kapil; Tewari, P. C.; Khanduja, Dinesh

doi:10.1007/s00170-017-0123-6

Cited by 12 publications

(6 citation statements)

References 48 publications

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“…As the present case is similar to decision making under uncertainty with the availability of various dependent parameters, a suitable multiple attribute decision making (MADM) with fuzzy logic approach could be used (Mittal, Tewari, & Khanduja, 2017a). Various MADM approaches such as TOPSIS (Technique for order preference by similarity to ideal solution) (Chen, 2000;Hwang et al, 1993;Mittal et al, 2016;Rathi et al, 2015), VIKOR (VlseKriterijumskaOptimisacija I KompromisnoResenje) (Liu et al, 2012;Opricovic & Tzeng, 2004;Yadollahi Farsi et al, 2012), AHP (Mittal et al, 2017b;Saaty, 1990) and SAW (simple additive weighting) (Chen & Klein, 1997) etc. are available but in this case study TOPSIS was selected as it was best suited for similar case scenarios.…”

Section: Fuzzy Evaluationmentioning

confidence: 99%

On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study

Mittal¹,

Tewari²,

Khanduja³

2018

10.5267/j.msl

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Variation exists in all processes. There is not even a single process that is completely true. Measuring the trueness of the process is itself a process which can also imitate the process variation. Therefore, measurement system should be strong enough to wager on the trueness of the process. This paper is an attempt to indicate the true method and substantiate the use of measurement system analysis (MSA) by using it in two different environments i.e. in manufacturing as well as process industry. Also, a comparison among various analyzing techniques has been drawn for authenticating the candid method followed by an evaluation using fuzzy TOPSIS for authenticating the results of comparison. The organization's type, also, strongly influences the performance of MSA as revealed in the conclusion of the article. The results calculated by various methods and in both environments were discussed and as a result ANOVA comes out to be the best method. The application of correct MSA is highly required which ultimately results in increased organizations' performance. The study is one of its type and will motivate the researchers and industrialists to use and explore the new and efficient ways of MSA.

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Section: Fuzzy Evaluationmentioning

confidence: 99%

On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study

Mittal¹,

Tewari²,

Khanduja³

2018

10.5267/j.msl

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“…It certainly helps the administration and government to take the necessary measures before any calamity happens. More work on such technique is proposed in concerned area using classical techniques like fuzzy logic Mittal et al [6], multiple attribute decision making MADM Mittal et al [7], Six-sigma Kaushik et al [8] etc.…”

Section: Cmentioning

confidence: 99%

Seismic Microzonation: A Case Study

Mittal¹

2017

CERJ

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“…Since Professor Zadeh introduced the concept of fuzzy set in 1965, it has been successfully applied in many fields such as intelligent control, military engineering, economic prediction, and decision-making [1][2][3][4][5]. Zadeh's fuzzy sets have been proved to be an effective tool to deal with fuzzy and imprecise problems [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Novel Regret Theory-Based Decision-Making Method Combined with the Intuitionistic Fuzzy Canberra Distance

Ren

Gao

Yang

2020

Discrete Dynamics in Nature and Society

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In practical decision-making, the behavior factors of decision makers often affect the final decision-making results. Regret theory is an important behavioral decision theory. Based on the regret theory, a novel decision-making method is proposed for the multiattribute decision-making problem with incomplete attribute weight information, and the attribute values are expressed by Atanassov intuitionistic fuzzy numbers. At first, a new distance of intuitionistic fuzzy sets is put forward based on the traditional Canberra distance. Then, we utilize it for the definition of the regret value (rejoice) for the attribute value of each alternative with the corresponding values of the positive point (negative point). The objective of this method is to maximize the comprehensive perceived utility of the alternative set by the decision maker. The optimal attribute weight vector is solved, and the optimal comprehensive perceived utility value of each alternative is obtained. Finally, according to the optimal comprehensive perceived utility value, the rank order of all alternatives is concluded.

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Productivity improvement under manufacturing environment using Shainin system and fuzzy analytical hierarchy process: a case study

Cited by 12 publications

References 48 publications

On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study

On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study

Seismic Microzonation: A Case Study

A Novel Regret Theory-Based Decision-Making Method Combined with the Intuitionistic Fuzzy Canberra Distance

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