A student-centred design approach for reducing musculoskeletal disorders in India through Six Sigma methodology with ergonomics concatenation

Taifa, Ismail W. R.

doi:10.1016/j.ssci.2021.105579

Cited by 21 publications

(15 citation statements)

References 20 publications

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“…Since the respondents needed in the manufacturing organisations are only leaders (e.g. managers, engineers and supervisors), the percentage of a sample having a characteristic (p) is 6% with a confidence interval of 95% (which gives Z of 1.96) and a marginal error (E) of 5% Quality 4.0 transition framework (Taifa, 2022). The sample size was calculated using (equation 2).…”

Section: Sample Designmentioning

confidence: 99%

Quality 4.0 transition framework for Tanzanian manufacturing industries

Maganga¹,

Taifa

2022

TQM

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PurposeThis research aimed at developing the Quality 4.0 transition framework for Tanzanian manufacturing industries.Design/methodology/approachThe survey method was used in this study to gather practitioners' perspectives. The approach included open-ended and closed-ended structured questionnaires to assess respondents' perceptions of Quality 4.0 awareness and manufacturers' readiness to transit to Quality 4.0. The study's objective was to adopt non-probability and purposive sampling strategies. The study focused on fifteen Tanzanian manufacturing industries. The data were analysed qualitatively and quantitatively using MAXQADA 2020 and Minitab 20 software packages, respectively.FindingsThe study demonstrated a high level of awareness of Quality 4.0 among Tanzanian manufacturing industries (i.e. 100% in Quality 4.0 traditional attributes and 53% in Quality 4.0 modern attributes). Individuals acquire knowledge in various ways, including through quality training, work experience, self-reading and Internet surfing. The result also revealed that most manufacturing industries in Tanzania use Quality 3.0 or a lower approach to manage quality. However, Tanzanian manufacturing industries are ready to embrace Quality 4.0 since practitioners are aware of the concepts and could see benefits such as customer satisfaction, product improvement, process and continuous improvement, waste reduction and decision support when using the Quality 4.0 approach. The challenges hindering Quality 4.0 adoption in Tanzania include reliable electricity, high-speed Internet and infrastructure inadequacy to support the adoption, skilled workforces familiar with Quality 4.0-enabled technologies and a financial set-up to support technology investment. Moreover, the study developed a transition framework for an organisation to transition from traditional quality approaches such as quality control, quality assurance and total quality management to Quality 4.0, a modern quality approach aligned with the fourth industrial revolution era.Research limitations/implicationsThe current study solely looked at manufacturing industries, leaving other medical, service, mining and construction sectors. Furthermore, no focus was laid on the study's Quality 4.0 implementation frameworks.Originality/valueThis is probably the first Quality 4.0 transition framework for Tanzanian manufacturing industries, perhaps with other developing countries.

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Section: Sample Designmentioning

confidence: 99%

Quality 4.0 transition framework for Tanzanian manufacturing industries

Maganga¹,

Taifa

2022

TQM

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“…People with poor posture and sitting for a long time are more likely to develop musculoskeletal disorders (MSDs). Taifa (2022) examined the consequences of not considering ergonomics when designing student-friendly furniture and environments. Around 69% of students reported physical ailments, including 23% with hand and elbow discomfort and 19% with headaches.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Lighting, Noise, and Temperature on the Academic Performance of Students amid Covid-19 Pandemic

Hoang

Samara²,

Shannawi³

et al. 2022

IJLTER

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The Coronavirus outbreak disrupted the global economy and human social activities, including schooling. Because of the worldwide school closure, face-to-face lessons have been stopped. Students desire to participate in real-time online learning was not well understood when the Coronavirus outbreak occurred. Despite this, there has been a progressive return to face-to-face education accompanied by online learning after more than two years of the COVID-19 pandemic. This international survey assessed students' readiness for live online learning using technology rather than the more traditional online/internet self-efficacy scale. This study is needed because of the COVID-19 outbreak (dependent variable). Three hypotheses were substantiated with the partial least square method to develop a structural equation model containing all four variables. Students' grades were shown to be directly influenced by factors such as temperature, lighting, and noise. Three distinct elements influence university students' long-term viability (human resources). Males and females were found to have no statistically significant differences. We contend that during the Coronavirus pandemic, the gender disparity in learning was minimized because students were pushed to take greater responsibility for their education. Educators utilizing live online learning, particularly those educating students at various educational levels, can benefit greatly from this research. Students pursuing lower-level degrees should be encouraged to engage in more virtual activities and student-to-student relationships.

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“…The 2nd IR enabled quality to transform into Quality 2.0, which was characterised by quality assurance (QA), and the 3rd IR resulted in Quality 3.0, which involved quality improvement; in this era, several models and frameworks were created to assist organisations in managing and enhancing quality across all activity sectors (Chiarini and Kumar, 2021;ASQ, 2021). These include quality management systems (QMSs), quality management (QM) standards (International Organisation for Standards (ISO) 9001) (Mangula, 2013;Carvalho et al, 2021), quality by design (Chiarini, 2020), lean and Six Sigma methods (Radziwill, 2018;Taifa, 2022) and the teachings of quality experts, for example, Philip Crosby, Joseph Juran, Genichi Taguchi and W Edwards Deming (Fonseca, 2021). The 4th IR has emerged as a new concept in QM known as Quality 4.0 (Q4.0) (Maganga and Taifa, 2022a) that assists in improving human intelligence, decision-making speed and quality, improving auditability, traceability and transparency, anticipating changes, removing biases and adjusting to novel situations (Arsovski, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…These include quality management systems (QMSs), quality management (QM) standards (International Organisation for Standards (ISO) 9001) (Mangula, 2013; Carvalho et al. , 2021), quality by design (Chiarini, 2020), lean and Six Sigma methods (Radziwill, 2018; Taifa, 2022) and the teachings of quality experts, for example, Philip Crosby, Joseph Juran, Genichi Taguchi and W Edwards Deming (Fonseca, 2021). The 4th IR has emerged as a new concept in QM known as Quality 4.0 (Q4.0) (Maganga and Taifa, 2022a) that assists in improving human intelligence, decision-making speed and quality, improving auditability, traceability and transparency, anticipating changes, removing biases and adjusting to novel situations (Arsovski, 2019).…”

Section: Introductionmentioning

confidence: 99%

The readiness of manufacturing industries to transit to Quality 4.0

Maganga¹,

Taifa

2022

IJQRM

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PurposeThis research provides the essential aspects of the transition from traditional quality methods like total quality management, quality assurance and quality control to a new quality approach linked with the Industry 4.0 era. The purpose of this paper is to address this issue.Design/methodology/approachThe study used a survey method to obtain the practitioners' perceptions of the Quality 4.0 (Q4.0) concepts. Both closed-ended and open-ended structured questionnaires assessed the perceptions of respondents regarding manufacturers' readiness and Q4.0 awareness to transition to Q4.0. Non-probability and purposive sampling tactics selected 15 Tanzanian manufacturing industries (TMIs). Garnered data were scrutinised quantitatively and qualitatively utilising Minitab® 20, SmartPLS 3.3.7 and MAXQADA 2020 software packages.FindingsThe results indicate that TMIs are equipped to deploy the Q4.0 approach because industrialists are familiar with the concept's characteristics and dimensions and the benefits of implementing Q4.0. Most TMIs utilise a Q3.0 method for managing quality, while some manufacturing industries have begun to apply Q4.0 leveraging technologies. The study revealed several factors influencing Q4.0 readiness in TMIs, including leveraged technology adoption, training, Q4.0 skills, infrastructures, the government set-up, top management support, Q4.0 strategy and vision, collaboration, awareness, knowledge of Q4.0, customer and supplier centeredness and organisational culture.Research limitations/implicationsThe implication of this study is on Q4.0 awareness creation so that industries can grab the advantages of Q4.0 leveraged technologies. Another implication is that organisational readiness factors identified in this study are critical for the effective adoption of Q4.0. The highlighted influences may be utilised as indications to determine an organisation's readiness to transition to the Q4.0 approach. This research was limited to TMIs, excluding service firms, mining, and the building and construction industry due to differences in their mode of operation.Originality/valueDetermining readiness factors and awareness for the Q4.0 study is probably the first amongst the seven East African countries, including Tanzania. This study thus bridges a huge gap in fulfilling the need of this research type.

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A student-centred design approach for reducing musculoskeletal disorders in India through Six Sigma methodology with ergonomics concatenation

Cited by 21 publications

References 20 publications

Quality 4.0 transition framework for Tanzanian manufacturing industries

Quality 4.0 transition framework for Tanzanian manufacturing industries

The Influence of Lighting, Noise, and Temperature on the Academic Performance of Students amid Covid-19 Pandemic

The readiness of manufacturing industries to transit to Quality 4.0

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