Adopting Six Sigma DMAIC for environmental considerations in process industry environment

Prashar, Anupama

doi:10.1108/tqm-09-2019-0226

Cited by 24 publications

(12 citation statements)

References 53 publications

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“…When we look at the methodology methods from the emergence paradigm, it is surprising that complexity theory is seldom mentioned. Action research is conducted in only seven cases (Mättö, 2019; Malik et al , 2016; Gustavsson et al , 2016; Kassela et al , 2017; Mättö, 2019; Kennedy, 2020; Prashare, 2020; Unzueta et al , 2020). Avelar et al (2020) do not call it action research but do make use of direct involvement in the environment under study.…”

Section: Discussionmentioning

confidence: 99%

Patterns emerging from the TQM paradigm in relation to the 21st century complex context within TQM journal

Kemenade

2021

TQM

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PurposeThe purpose of this research is to explore the deployment of the total quality management (TQM) paradigm in the TQM Journal in relation to the context of the 21st century. The study builds on the theoretical framework of the four quality paradigms that together compose TQM. The four paradigms differ in their effectiveness based on the context in which they are used. In a complex context, one would expect the reflective and the emergence paradigm to flourish. The TQM Journal is one of the leading scientific journals on TQM. If the assumption that the reflective and emergent paradigm would flourish in a complex environment is correct, one will see that represented in the past five years of scientific research in that magazine.Design/methodology/approachThe TQM Journal articles of the past five years from January 2016 till January 2021 have been chosen as the scope of an exploratory review. The author assessed the title and abstract of all articles based on the characteristics of the four quality paradigms, as described in the theoretical framework. If the title and abstract did not provide enough data to take the decision for the assessment, the whole article has been taken into account. The results have been collated, summarized and reported. Based on the results, the author explores the possible patterns.FindingsIn total, 283 articles from 2016 to 2021 (from Volume 28, Issue 1 to Volume 33, Issue 1) were included in this study. In total, 45 were read fully to be able to characterize the article. Most of the studies relate the tertiary (33.3%) and secondary (27.9%) sectors. Healthcare was the sector in 32 of the cases (11.3%). Most studies have been conducted in Europe (n = 82, 28.9%) and Asia (n = 58, 20.5%). Within Europe, Italy was the most prolific country with, respectively, 25 (30.8%) of the articles. The USA and Canada only had five articles in these five years (1.8%). Many articles did not specify the region. More than half of the articles (52.4%) worked with surveys, questionnaires or other methods to involve the customer in the research; 16 articles (5.6%) used experts in the field through expert panels and such to collect data from. In total, 107 articles (37.8%) did involve no other stakeholders than the researchers themselves. Eight studies (2.8%) used action research or co-design methodology to create optimal stakeholder participation. Based on the data, four patterns can be discovered: the context sensitivity of the articles, reflexivity, coping with uncertainty and co-creation.Research limitations/implicationsIt is acknowledged that the articles in the study were published in just one scientific journal. One can expect that this will be represented in other journals on TQM. Still, it would be interesting to conduct a follow-up study in other journals on TQM and compare the results. The research is done by one subjective researcher.Practical implicationsResearch on TQM should take the complexity of the context into account. For that purpose, researchers should focus more on the emergence paradigm within TQM.Originality/valueThis study is the first to investigate TQM as a holistic paradigm, including the empirical, reflective, reference and emergence paradigm in TQM research.

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Section: Discussionmentioning

confidence: 99%

Patterns emerging from the TQM paradigm in relation to the 21st century complex context within TQM journal

Kemenade

2021

TQM

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“…In this work, DMAIC technique is used for improved statistical analysis. The framework of DMAIC in six sigma is illustrated in Figure 1 (Shaikh and Kazi, 2015; Uluskan, 2016; Prashar, 2020).…”

Section: Proposed Methodologymentioning

confidence: 99%

Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data

Nagarajaiah¹,

Chandramouli

Ramakrishna

2022

IJPCC

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Purpose Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid viral transmission, various researchers have introduced different mobile applications. This paper aims to study issues like viral transmission, mortality rates, vaccination rates, etc. and also provides suitable solutions based on the statistical analysis with the assistance of the Six-Sigma Define-Measure-Analyse-Improve-Control (DMAIC) concept. Design/methodology/approach Statistical analysis is done for different countries, and the required solutions are provided by using the DMAIC procedure. This application has the ability to represent the current risk status of the user and notify them to secure themselves. Findings The proposed work suggests the Aarogya Setu application to prevent large viral transmission by affording many preventive measures. This application also issues the current risk status of each individual user. Hence, it gives improved results in avoiding high viral transmission. Originality/value The proposed six-sigma DMAIC concept also affords the control measures to prevent viral transmission. Hence, the suggested application has the highest chance of avoiding the rapid viral transmission.

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“…Six Sigma is expected to develop business process capacity, improve performance and reduce the possibility of errors. The Six Sigma approach used is Define, Measure, Analyze, Improve, and Control (DMAIC) (Prashar, 2020). The first stage starts by determining the problem, objectives, and processes.…”

Section: Six Sigmamentioning

confidence: 99%

Management and Production Engineering Review

ANDRY,

NURPRIHATIN,

LILIANA

2022

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Supply Chain Management (SCM) is a very important part of the industrial world, especially in the manufacturing sector. The development of the business world affects the complexity of the supply chain due to the lack of logistics infrastructure, quality of materials and components, and much more. Supply chain disruption risk mapping needs to be done due to high uncertainty, which is overcome by implementing a decision support system. Based on the background of the problem, supply chain disruption mapping uses the help of the Six Sigma method, which consists of 5 stages: Define, Measure, Analyze, Improve, and Control (DMAIC). The measurement of disturbance also uses the Failure Mode and Effect Analysis (FMEA) approach to prioritize risk. Risks that have a high assessment and cause failure need to be prioritized for improvement. This study aims to map supply chain disruptions in the current manufacturing industry based on the barriers, resistances, and causes detected for making a decision support system prototype. By implementing a decision support system in the supply chain process, it is hoped that the manufacturing industry can minimize potential losses from existing risks.

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Adopting Six Sigma DMAIC for environmental considerations in process industry environment

Cited by 24 publications

References 53 publications

Patterns emerging from the TQM paradigm in relation to the 21st century complex context within TQM journal

Patterns emerging from the TQM paradigm in relation to the 21st century complex context within TQM journal

Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data

Management and Production Engineering Review

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