Identification of Major Lean Waste and Its Contributing Factors Using the Fuzzy Analytical Hierarchy Process

Arunagiri, P.; Gnanavelbabu, A.

doi:10.1139/tcsme-2016-0027

Cited by 12 publications

(7 citation statements)

References 25 publications

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“…From the case study of applying the modified FMEA model, "Human Resource Underutilization", "Waiting" and "Overproduction" are becoming the three most critical risks and "Burdening the Environment" is becoming the least critical risk. Intended to find the most critical lean waste in the process industry, the finding of this study is similar with earlier investigative studies by Prasad et al (2016) and Arunagiri and Gnanavelbabu (2016) who noted waiting was the most critical waste in the process industry.…”

Section: Determining the Entropy Of Fmea Indicessupporting

confidence: 88%

An improved modified FMEA model for prioritization of lean waste risk

Sutrisno

Gunawan

Vanany

et al. 2018

IJLSS

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Purpose Proposing an improved model for evaluating criticality of non-value added (waste) in operation is necessary for realizing sustainable manufacturing practices. The purpose of this paper is concerning on improvement of the decision support model for evaluating risk criticality lean waste occurrence by considering the weight of modified FMEA indices and the influence of waste-worsening factors causing the escalation of waste risk magnitude. Design/methodology/approach Integration of entropy and Taguchi loss function into decision support model of modified FMEA is presented to rectify the limitation of previous risk reprioritization models in modified FMEA studies. The weight of the probability components and loss components are quantified using entropy. A case study from industry is used to test the applicability of the integration model in practical situation. Findings The proposed model enables to overcome the limitations of using subjective determination on the weight of modified FMEA indices. The inclusion of the waste-worsening factors and Taguchi loss functions enables the FMEA team to articulate the severity level of waste consequences appropriately over the use of ordinal scale in ranking the risk of lean waste in modified FMEA references. Research limitations/implications When appraising the risk of lean waste criticality, ignorance on weighting of FMEA indices may be inappropriate for an accurate risk-based decision-making. This paper provides insights to scholars and practitioners and others concerned with the lean operation to understand the significance of considering the impact of FMEA indices and waste-worsening factors in evaluating criticality of lean waste risks. Practical implications The method adopted is for quantifying the criticality of lean waste and inclusion of weighting of FMEA indices in modified FMEA provides insight and exemplar on tackling the risk of lean waste and determining the most critical waste affecting performability of company operations. Originality/value Integration of the entropy and Taguchi loss function for appraising the criticality of lean waste in modified FMEA is the first in the lean management discipline. These findings will be highly useful for professionals wishing to implement the lean waste reduction strategy.

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Section: Determining the Entropy Of Fmea Indicessupporting

confidence: 88%

An improved modified FMEA model for prioritization of lean waste risk

Sutrisno

Gunawan

Vanany

et al. 2018

IJLSS

View full text Add to dashboard Cite

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“…Lean is a methodical attack on waste, and therefore is struggling against the factors that are behind poor quality and other management problems. It is foundational to the management process and is an allencompassing solution [21][22][23][24][25][26]. The following factors are necessary for successful implementation of lean manufacturing, simultaneously apply at least five lean tools, view lean as a long term journey, instill continuous improvement, change the culture for empowerment and a thorough implementation was carried out [27][28][29][30][31].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Process Flow in an Assembly Line of Manufacturing Unit through Lean Tools Execution

Nallusamy

Saravanan

2018

JERA

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The main aim of this study is to achieve the maximum productivity in an assembly line of a valve manufacturing industry through the implementation of different lean tools to minimize the production time. The existing manufacturing data were collected and interpret the information’s for identifying the gaps for productivity improvement. For obtaining the production line performance we shall introduce a solution after finding the problemswhich affects the lead time. In this research, an attempt was made to introduce a new fixture with appropriate lean methods by focusing on value stream mapping, kaizen etc to eliminate different kinds of lead times consuming phases in the overall process. Designing a fixture for the process is also done in Kaizen, in order to exclude the sub operations. After execution of various lean tools the total cycle time was reduced about 10.49 minutes and the productivity was improved about 20% by eliminating all those non value added activities in the operations to meet the customer demand.

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“… Inadequate training, skill shortage, operator error, excessive stock. Source: P Arunagiri and A Gnanavelbabu [ 7 ] …”

Section: Introductionmentioning

confidence: 99%

The impact of lean management on frontline healthcare professionals: a scoping review of the literature

Mahmoud

Angelé-Halgand²,

Churruca

et al. 2021

BMC Health Serv Res

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Background Lean management practices are increasingly used in hospitals. However, their impacts on staff have not been systematically synthesised. This scoping review aims to synthesise the evidence on the effects of Lean Management practices on frontline healthcare professionals. Methods A search was conducted in February 2020 on multiple databases to identify relevant sources. Studies had to satisfy the following inclusion criteria to be considered: published in English or French, peer-reviewed, empirical, studied the use of Lean in a healthcare setting and focused on its impacts on frontline workers. The studies included were heterogeneous in terms of participants. Findings were coded and classified using a thematic analysis. The quality and methodological rigour of the reviewed articles were assessed to establish a level of confidence in their findings. Results Of 998 identified articles, 17 were included in the review. The findings were coded into four themes: (1) Morale, motivation and job satisfaction (n = 9, 2) work intensification, job strain, anxiety, stress and dehumanisation (n = 7, 3) teamwork, communication and coordination (n = 6); and (4) learning, innovation and personal development (n = 3). Overall, the articles reported positive (n = 11), negative (n = 3) and mixed (n = 3) impacts of Lean on frontline healthcare professionals. Conclusion This review is the first to synthesise and highlight the gaps in the existing literature examining the impacts of Lean on frontline health professionals. The review revealed a range of both positive, negative and mixed effects, and points to the need for more empirical research to identify the underlying reasons leading to these outcomes.

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Identification of Major Lean Waste and Its Contributing Factors Using the Fuzzy Analytical Hierarchy Process

Cited by 12 publications

References 25 publications

An improved modified FMEA model for prioritization of lean waste risk

An improved modified FMEA model for prioritization of lean waste risk

Optimization of Process Flow in an Assembly Line of Manufacturing Unit through Lean Tools Execution

The impact of lean management on frontline healthcare professionals: a scoping review of the literature

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