Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production – a study in an Indian scenario

Govindan, Kannan; Shankar, K. Madan; Kannan, Devika

doi:10.1016/j.jclepro.2015.06.092

Cited by 154 publications

(103 citation statements)

References 82 publications

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“…The literature reveals that most of the waste in developing countries comes from the automobiles (Rathore et al 2011;Govindan et al 2016), and out of the total automobile waste, most of the waste comes in the form of tires. There are several barriers faced during the remanufacturing these wastes (Govindan et al 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are several barriers faced during the remanufacturing these wastes (Govindan et al 2016). Around the world, only few studies have been carried out for the tire industries and these studies are focused on analyzing the profitability of car and truck tire remanufacturing (Lebreton and Tuma 2006), system design for tire reworking (Sasikumar et al 2010), value analysis for scrap tires in cement industries (de Souza and Márcio de Almeida 2013), and analyzing the factors for end-of-life management (Kannan et al 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

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Six-sigma application in tire-manufacturing company: a case study

et al. 2017

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Globalization, advancement of technologies, and increment in the demand of the customer change the way of doing business in the companies. To overcome these barriers, the six-sigma define-measure-analyze-improvecontrol (DMAIC) method is most popular and useful. This method helps to trim down the wastes and generating the potential ways of improvement in the process as well as service industries. In the current research, the DMAIC method was used for decreasing the process variations of bead splice causing wastage of material. This six-sigma DMAIC research was initiated by problem identification through voice of customer in the define step. The subsequent step constitutes of gathering the specification data of existing tire bead. This step was followed by the analysis and improvement steps, where the six-sigma quality tools such as cause-effect diagram, statistical process control, and substantial analysis of existing system were implemented for root cause identification and reduction in process variation. The process control charts were used for systematic observation and control the process. Utilizing DMAIC methodology, the standard deviation was decreased from 2.17 to 1.69. The process capability index (C p ) value was enhanced from 1.65 to 2.95 and the process performance capability index (C pk ) value was enhanced from 0.94 to 2.66. A DMAIC methodology was established that can play a key role for reducing defects in the tiremanufacturing process in India.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Six-sigma application in tire-manufacturing company: a case study

et al. 2017

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“…This imprecision may be a result of unquantifiable, incomplete and unobtainable information [33]. To incorporate the uncertainty caused by vagueness and imprecision of decision makers' judgments, fuzzy set theory was applied in ANP method [35][36][37]. Fuzzy ANP (FANP) makes judgments easier because decision makers are exposed to interval values instead of fixed values and they may be unable to express their judgments caused by vagueness involved in comparison process which is remedied in FANP [38].…”

Section: Step 3: Ranking Csfs Using Fuzzy Analytic Network Processmentioning

confidence: 99%

Exploring Critical Success Factors in Urban Housing Projects Using Fuzzy Analytic Network Process

Youneszadeh¹,

Ardeshir²,

Sebt³

2017

CivileJournal

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Population growth and increasing trend towards urbanization have caused housing demand to exceed its supply, particularly in urban areas in developing countries. Furthermore, housing industry motivates many subsidiary industries and plays a leading socio-economic role in such countries. Therefore, successful completion of housing projects is of great significance quantitatively and qualitatively.This study aims to propose a framework to evaluate the critical success factors (CSFs) in housing projects considering the interrelationship among factors and criteria. The factors were initially identified through literature review and then refined and categorized using a two-round Delphi method and finally prioritized using fuzzy analytic network process (FANP). To demonstrate the implementation of the proposed model, a case study was carried out on an urban residential building project in Tehran. The framework proposed in this study can be applied as a decision support system for decision makers, project managers and practitioners involved in the housing sector.

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“…They have identified competitive price is the major economic driver and lack of support from the government, quality related issues are the barriers in remanufacturing in India. Another case study is done by Govindan et al (2016) on the automotive parts remanufacturing. They only keep their focus on the barriers in remanufacturing.…”

Section: Remanufacturing Paradigm In Developing Countriesmentioning

confidence: 99%

“…Feng et al (2016) used Decision Making Trial and Evaluation Method (DEMATEL) technique to inspect the contribution of the remanufacturing sectors in their national economy and also investigated the energy saving and emission reduction aspects than other sectors. Govindan et al (2016) developed a framework which address the interrelationships and interdependencies among the barriers in automotive remanufacturing in India. To address the interdependencies and inter relationships, they used Interpretive Structural Modeling (ISM) along with Analytic Network Process (ANP).…”

Section: Remanufacturing Paradigm In Developing Countriesmentioning

confidence: 99%

Analysis of the critical success factors of automotive engine remanufacturing in India

Chakraborty¹,

Mukherjee²

2017

10.5267/j.uscm

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Extension of product's useful life through product recovery options can help to reduce the consumption of natural resource and environmental pollution. Remanufacturing operation is considered as the most suitable product recovery option for automotive parts. The objective of this paper is to identify the barriers and the critical success factors in automotive engine remanufacturing. A case study is carried out in an automotive engine remanufacturing plant, situated in the south-western part of India. In this case study, the strategic, tactical and operational characteristics of the remanufacturing process are explored, what are the barriers they have faced while remanufacturing and to overcome those barriers, what strategies they have adopted are also analyzed. A fuzzy technique for order performance by similarity to ideal solutions (TOPSIS) is used to identify the critical success factor to overcome the roadblocks of remanufacturing. As this study is directed by the experts' opinion from the remanufacturing plant which proves its practical implication. This case study is also useful for the other OEM remanufacturers in India.

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Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production – a study in an Indian scenario

Cited by 154 publications

References 82 publications

Six-sigma application in tire-manufacturing company: a case study

Six-sigma application in tire-manufacturing company: a case study

Exploring Critical Success Factors in Urban Housing Projects Using Fuzzy Analytic Network Process

Analysis of the critical success factors of automotive engine remanufacturing in India

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