An efficient integrated approach to reduce scraps of industrial manufacturing processes: a case study from gauge measurement tool production firm

Shishebori, Davood; Akhgari, Mahdi; Noorossana, Rassoul; Khaleghi, G. Hossein

doi:10.1007/s00170-014-6273-x

Cited by 7 publications

(5 citation statements)

References 26 publications

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“…The solutions necessary to tackle these barriers are not prioritised and linked. This logically AHP-modified TOPSIS framework creates need for developing and using a hybrid MCDM framework to meet this research challenge; and Researchers (Percin and Kahraman, 2010;Shishebori et al, 2014) developed MCDM-based frameworks mainly for barriers and its prioritisation. It is noticed that even while prioritising barriers also, researchers do not consider human judgment error-related possibilities, which may arise while developing these frameworks.…”

Section: Gap Areas Based On Literature Reviewmentioning

confidence: 99%

Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework

Yadav

Seth

Desai

2018

IJLSS

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Purpose This paper aims to guide about prioritisation and ranking of the solutions and overcoming barriers to facilitate the adoption of Lean Six Sigma (LSS) by using a hybrid framework. Design/methodology/approach It identifies LSS barriers and solutions to facilitate LSS adoption through literature review and by involving subject experts. The study makes use of fuzzy set theory and proposes a fuzzy analytical hierarchy process (AHP)-modified TOPSIS (technique for order preference by similarity to ideal solution) framework. It uses sensitivity analysis to establish framework robustness. Findings The key findings of this techno-managerial study are identification and prioritisation of 27 LSS barriers and 22 solutions to overcome adoption challenges, proposition and usage of fuzzy AHP-modified TOPSIS framework, guidance regarding where to focus for facilitating LSS adoption and ensuring robustness using sensitivity analysis, which establishes insignificant deviation in rankings when criteria weights are altered. Research limitations/implications Some biasness and subjectivity may exist during pairwise comparisons as human judgements are involved. Practical implications Handling a hybrid solution like LSS is never easy. It is expected that the study will help industry professionals to plan their LSS adoption attempts effectively. Guidance regarding LSS barriers will assist in observing necessary precautions to avoid failures. It will open up new research fronts for researchers also. Originality/value Literature is full of studies regarding LSS barriers and its rankings. It is very rare to witness a study like ours, which discusses the barriers and links with solutions and its prioritisation. Proposed hybrid framework for a hybrid techno-managerial approach such as LSS is unique and acts as the roadmap for smooth implementation.

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Section: Gap Areas Based On Literature Reviewmentioning

confidence: 99%

Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework

Yadav

Seth

Desai

2018

IJLSS

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“…It has determined the equipment and operator failure types in autonomous maintenance activities. Shishebori (2015) has worked to reduce production waste in a production facility by using FMEA, DOE and Six-Sigma methods together. As one of the waste reduction methods, the importance of FMEA has contributed to the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

New Generation FMEA Method in Automotive Industry: An Application

KÖK

Yıldız

2023

Journal of Turkish Operations Management

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It is aimed to gain study substantiality by making an application for risk analysis study in the automotive industry. To bring to the literature the current point of risk analyzes used in FMEA methods applied in the automotive industry. At the same time, it is aimed to improve a problem experienced in the process of an operating in the automotive supplier industry with the risk analysis method. Failure Mode and Effects Analysis (FMEA) from risk analysis which is strong method to identifying and managing of the risks of potential failures occurring from product, process, service and system. Three methods were used in FMEA risk analysis in the study. AIAG FMEA Handbook fourth edition 2008, VDA-4 standard and new generation AIAG&VDA FMEA handbook, 2019. In this study, a Process FMEA study was prepared for the surface coating preparation process used by an automotive supplier industry. According to the results of the risk analysis, corrective actions were defined and prepared after the P-FMEA study. Afterwards, the necessary investments were made by the company management and the risks were minimized. With this investment, an innovative and technological application was integrated by ensuring the transition of the process from the human factor to automation. In addition, differences and current information about FMEA evaluation methods used in the automotive industry have been brought to the literature

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“…A small-and medium-scale plastic parts manufacturing unit in India reduced the injection moulding defects like short moulding, contamination, injection point and flash using Six Sigma [21]. A gage measurement tool manufacturing process has reduced the scrap from 8 to 3.8% using the Six Sigma approach integrated with the design of experiments and goal programming [22]. The application of Six Sigma with simultaneous optimization of multiple response methodology in a small-scale machine shop improved the process capability of the bearing end plate machining process [23].…”

Section: Literature Reviewmentioning

confidence: 99%

Minimizing the Dry Content Variation in the Pulp Drying Process Using Six Sigma Methodology

John

Chowdhury

2021

Oper. Res. Forum

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An efficient integrated approach to reduce scraps of industrial manufacturing processes: a case study from gauge measurement tool production firm

Cited by 7 publications

References 26 publications

Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework

Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework

New Generation FMEA Method in Automotive Industry: An Application

Minimizing the Dry Content Variation in the Pulp Drying Process Using Six Sigma Methodology

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