Criteria based ergonomic assessment in a manufacturing industry

Kamala, V.; Malliga, P.; Priyanka, G.

doi:10.1109/ieem.2016.7797872

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…The ergonomic assessment model is divided into three stages. The first stage comprises 4 factors, the second stage contains 15 ergonomic criteria, and the third stage entails 40 ergonomic variables [35]. Human error (psy3)…”

Section: Ergonomic Assessment Modelmentioning

confidence: 99%

Human Factor Index Measurement Using an ISM-SEM-Fuzzy Approach

Kamala

Robert

2022

Sustainability

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In recent years, there has been a trend toward automation and data exchange in manufacturing processes through industrial cognitive computing, the Internet of Things (IoT), and artificial intelligence. However, the human–machine interface plays a role in establishing a smart manufacturing system in any industry. It is necessary to develop a comprehensive model to identify the risk factors that contribute to the loss of human performance and productivity and evaluate the workplace for its compliance and agility toward safe human–machine systems. In this study, a model is proposed that can be used as a measurement tool to design ergonomic workplaces in the automotive industry. Several criteria have been classified under four enablers: physiological factors, psychological factors, environmental factors, and safety factors. These were identified through a literature review. The proposed model integrates the applications of structural equation modeling (SEM), interpretive structural modeling (ISM), and the multigrade fuzzy approach. ISM was employed to demonstrate the applicability of the model to depict various ergonomic enablers considered in the ergonomic measurement. SEM was used to validate the ergonomic measurement model statistically. Physiological factors were found to be highly correlated with ergonomic practices. Physiological and psychological factors were also highly correlated. The use of the multigrade fuzzy approach was demonstrated to determine the human factor index for an automotive component manufacturing industry. The proposed model can enable management to evaluate the various risk factors that hamper the ergonomic level of a company and thereby allow the company to harness the benefits of ergonomics to enhance safety and productivity.

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Section: Ergonomic Assessment Modelmentioning

confidence: 99%

Human Factor Index Measurement Using an ISM-SEM-Fuzzy Approach

Kamala

Robert

2022

Sustainability

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“…There were four enablers in the first stage. The second stage comprises 15 ergonomic requirements, while the third stage contains 40 ergonomic features [37]. EC112 -Material handling [31] EC113 -Worker movement [31] EC12 -Biomechanical Aspects EC121 -Physical work/endurance and design [32] EC122 -Postural comfort of design [32] EC123 -Vertical reach [32] EC124 -Access to machine and clearance [32] EC125-Adjustability of design [32] EC13 -Usability EC131 -Visual workplace design [32] EC132 -Error tolerance [32] EC133 -Compatibility of design and control [32] EC134 -Man/machine function allocation of design [32] EC135 -Physical distribution of controls [32] EC2 -PSYCHOLOGICAL FACTORS EC21 -Communication EC211 -Speech intelligibility [38,39] EC212 -Information flow [38,39] EC22 -Human error EC221 -Design of equipment [38,39] EC222 -Worker selection [38,39] EC223 -Training [38,39] EC23 -Human skills and training capability EC231 -Training level compatibility [32] EC232 -Skill level compatibility [32] EC24 -Work rest schedule EC241 -Heart rate [10] EC242 -Work and rest period [10] EC243 -Body heat [10] Table 1: Ergonomic evaluation conceptual framework (cont.…”

Section: Ergonomic Assessment Modelmentioning

confidence: 99%

Fuzzy-Logic-Based Ergonomic Assessment in an Automotive Industry

Kamala

Robert²

2022

SAJIE

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The objective of this study was to develop and evaluate a tool for measuring an organisation’s ergonomic level. The study was carried out to fill a research gap in which no attempt had been made to design an index for evaluating a company’s ergonomics. An ergonomic index measuring model with 15 criteria using a fuzzy logic technique was developed during this study. The fuzzy ergonomic index (FEI), which represents the ergonomic level of the company, and the fuzzy performance importance index, which assists in resolving ergonomics barriers, were then calculated. The findings show that the model is capable of analysing ergonomics adequately and has practical application. Application of the methodology presented in this paper will reveal the measures necessary to improve an organisation’s ergonomic level. Keywords Fuzzy Ergonomic Index; Manufacturing; Fuzzy Logic; Ergonomic Assessment;

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“…Kedua komponen tersebut perlu ada sebab keduanya berfungsi sebagai penggerak utama dalam perkembangan perusahaan. Berdasarkan kriteria ergonomi (Kamala et al, 2016) dijelaskan bahwa performa kinerja dari seorang pekerja dipengaruhi oleh beberapa faktor. Salah satu faktor tersebut adalah kondisi lingkungan kerja yang meliputi kebersihan area kerja.…”

Section: Pendahuluanunclassified

Analisis Beban Kerja Pada Cleaning Service Di Pt. Xyz Dengan Metode Full Time Equivalent

et al. 2018

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Abstrak PT. XYZ adalah perusahaan asing asal Jerman yang memproduksi circuit breaker (sebagai pelindung peralatan listrik). Penelitian ini bertujuan untuk mengetahui jumlah tenaga bagian kebersihan (cleaning service) yang optimal sebab melalui pengamatan dari beberapa manajer, petugas cleaning service seringkali menganggur. Jumlah tenaga cleaning service saat ini adalah 9 orang. Metode yang digunakan dalam penelitian ini adalah Full Time Equivalent (FTE). Metode FTE dilakukan dengan menghitung total waktu beban kerja pada seluruh lokasi di PT. XYZ dan jumlah jam kerja efektif. Total waktu beban kerja petugas cleaning service adalah 464.746,5 menit dan total jam kerja efektif selama setahun setelah diberikan allowance adalah 93.585 menit. Total nilai FTE tenaga cleaning service adalah 4,97 yang berarti jumlah tenaga yang dibutuhkan adalah 5 orang. AbstractPT. XYZ is a foreign company based in German that manufactures circuit breaker (to protect an electrical devices). This research aims to find an optimum number of needed cleaning service’s employees as the information from the manager at PT. XYZ said that the current cleaning service’s employees are frequently idle. The current cleaning service’s total employees are 9. The method used in this research was Full Time Equivalent (FTE). FTE was applied by counting the total time workload at the entire location of PT. XYZ and the total effective working hours. Total time workload of the cleaning service’s employees are 464,746.5 minutes and the total effective working hours a year after adjusted with the allowance is 93,585 minutes. Total FTE value for cleaning service’s employee is 4.97 which means only 5 employees needed. Keywords: Workload; Employee; Full Time Equivalent

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Criteria based ergonomic assessment in a manufacturing industry

Cited by 5 publications

References 7 publications

Human Factor Index Measurement Using an ISM-SEM-Fuzzy Approach

Human Factor Index Measurement Using an ISM-SEM-Fuzzy Approach

Fuzzy-Logic-Based Ergonomic Assessment in an Automotive Industry

Analisis Beban Kerja Pada Cleaning Service Di Pt. Xyz Dengan Metode Full Time Equivalent

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