Lean tool selection in a die casting unit: a fuzzy-based decision support heuristic

Singh, Ritesh Kumar; Kumar, Shakti; Choudhury, A.K.; Tiwari, Manoj Kumar

doi:10.1080/00207540500272980

Cited by 58 publications

(41 citation statements)

References 25 publications

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“…Although sustainable manufacturing is widely regarded as a business strategy, few researchers have concentrated on the validation of its positive link with business performance (Singh et al 2006;Detty and Yingling 2000). Sarkis et al (2006) developed ISM model for evaluating environmentally conscious manufacturing (ECM) barriers considering 11 factors.…”

Section: Identification Of Factors Influencing the Sustainable Systemmentioning

confidence: 99%

Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system

Vinodh

Ramesh

Arun

2015

Clean Techn Environ Policy

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The modern manufacturing systems recognize the importance of adopting lean and sustainable manufacturing principles. Especially, Indian automotive component manufacturing organizations are interested in adopting the integrated lean sustainable manufacturing system. An appropriate methodology is required for enabling the organizations to identify the dominant factors. In this context, this article presents the interpretive structural modelling approach for identifying the mutual relationship among factors influencing the integrated lean sustainable manufacturing system. From the literature study and survey conducted among Indian automotive component manufacturing organizations, 25 influencing factors have been identified. Based on the study, top-management commitment in adopting integrated lean sustainable manufacturing and environmental knowledge occupy the bottom level of model which shows that it has more driving power. Efforts are being taken to implement the factors in the surveyed organizations.

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Section: Identification Of Factors Influencing the Sustainable Systemmentioning

confidence: 99%

Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system

Vinodh

Ramesh

Arun

2015

Clean Techn Environ Policy

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“…To overcome the ambiguity in linguistic assessment, triangular and trapezoidal membership functions can be developed (Delgado et al 1993). These membership functions can then be used to transform the linguistic variables into fuzzy numbers (Singh et al 2006). Therefore, fuzzy logic is employed to handle uncertain EOL strategies in the proposed methodology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Widely used membership functions include triangular and trapezoidal membership functions (Bufardi et al 2004). The advantages of triangular membership functions are their simplicity; they have been commonly used in product development analysis (Delgado 1993;Singh et al 2006). This study evaluates all EOL criteria and their weights to obtain each EOL strategy's score.…”

Section: Fuzzy Evaluationmentioning

confidence: 99%

A comprehensive end-of-life strategy decision making approach to handle uncertainty in the product design stage

Kremer

Ray

2017

Res Eng Design

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This study employs fuzzy logic to evaluate uncertain component end-of-life (EOL) options in the design stage. Determining EOL strategies during the product design stage can be complex. For example, EOL strategies for retired bicycle components are various and may change with geographic location. Thus, adopting fixed EOL strategies in the product design stage may not always be appropriate; the element of uncertainty should be considered. Limited research has examined uncertainty of EOL strategies during the design stage. Moreover, the evaluation of EOL strategies in a comprehensive manner has not been shown in a realistic case study. These facts motivate this investigation. Fourteen evaluation criteria are used to generate a comprehensive framework for assessing seven EOL strategies. The evaluation process generates the likelihood for each of these strategies by aggregating fuzzy set operations and a left-right fuzzy ranking method. Using SUMPRODUCT calculation for these weights/probabilities and input sustainability value (i.e., cost, environmental impact and labor time), expected values are derived to represent the sustainability values for each EOL strategy. A Technique-for-Order-of-Preference-by-Similarity-to-Ideal-Solution (TOPSIS) based method is employed to identify the appropriate EOL strategy for each component/product. A refrigerator is used as a case study to illustrate the methodology. This study addresses the uncertainty involved in identifying an EOL strategy for a specific product component during the design stage through the use of fuzzy logic. The method closes a gap in the current EOL strategy assessment criteria and introduces a comprehensive evaluation framework to capture multiple strategic perspectives by incorporating 14 key evaluation criteria. KeywordsEnd-of-life, uncertainty, fuzzy logic, expected value, product design, decision making Disciplines Industrial Engineering | Systems Engineering CommentsThis is a manuscript of an article published as Ma, Junfeng, Gül E. Okudan Kremer, and Charles David Ray. "A comprehensive end-of-life strategy decision making approach to handle uncertainty in the product design stage. AbstractThis study employs fuzzy logic to evaluate uncertain component End-of-Life (EOL) options in the design stage. Determining EOL strategies during the product design stage can be complex. For example, EOL strategies for retired bicycle components are various and may change with geographic location. Thus, adopting fixed EOL strategies in the product design stage may not always be appropriate; the element of uncertainty should be considered. Limited research has examined uncertainty of EOL strategies during the design stage. Moreover, the evaluation of EOL strategies in a comprehensive manner has not been shown in a realistic case study. These facts motivate this investigation. Fourteen evaluation criteria are used to generate a comprehensive framework for assessing seven EOL strategies. The evaluation process generates the likelihood for each of these strategies by aggregat...

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“…In order to overcome the ambiguity in linguistic assessment, triangular and trapezoidal membership functions can be developed [61]. These membership functions are used to transform the linguistic variables into fuzzy numbers [62]. We use fuzzy logic for EOL strategy selection in the proposed methodology.…”

Section: Eol Stagementioning

confidence: 99%

A sustainable modular product design approach with key components and uncertain end-of-life strategy consideration

Kremer

2015

Int J Adv Manuf Technol

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Today, sustainability emphasis is imperative for modern design and manufacturing enterprises; therefore, sustainability assessment has attracted increasing attention. In this study, we use cost, environmental impact, and labor time as indicators to measure a comprehensive set of sustainability dimensions: economic, environmental, and social sustainability. Similarly, modular product design (MPD), due to its benefits to design and manufacturing, has been widely accepted as a useful strategy. The need for customizing MPD for various sustainability purposes across a product's life cycle motivates this study. Our research goal is to develop a MPD approach to improve the product life cycle performance for dimensions of sustainability. We also concentrate on two current product design focused research gaps: (1) how to best handle key components and (2) taking into account life cycle uncertainty at the component or product end-of-life (EOL) stage. Key components represent core techniques and can have the highest sustainability impact. We specify key components and then develop three sustainable clustering algorithms to generate component modules based on the identified key components. For EOL uncertainty, we adopt fuzzy logic to assess 14 EOL characteristics and use modified transfer equations to convert fuzzy evaluations to designer's perception toward sustainability. Left-right defuzzification method is employed to estimate the probability of each EOL strategy and calculate the expected EOL sustainability values for each component. The Module Structure Sustainability Index (MSSI) advances toward optimizing sustainability in order to determine the best component modules. A coffee maker case study is used to illustrate the proposed methodology.

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Lean tool selection in a die casting unit: a fuzzy-based decision support heuristic

Cited by 58 publications

References 25 publications

Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system

Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system

A comprehensive end-of-life strategy decision making approach to handle uncertainty in the product design stage

A sustainable modular product design approach with key components and uncertain end-of-life strategy consideration

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