Musculoskeletal ailments in Indian injection-molded plastic furniture manufacturing shop-floor: Mediating role of work shift duration

Sanjog, J.; Patel, Thaneswer; Chowdhury, Anirban; Karmakar, Sougata

doi:10.1016/j.ergon.2015.04.004

Cited by 18 publications

(10 citation statements)

References 16 publications

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“… 3.1.3.4 37 ) Indonesia 2015 Questionnaire NBM and software WinOWAS in workers of a corn-chip factory. 3.1.3.4 76 ) India 2015 Use of several tools, including the OWAS in furniture builders. 3.1.3.3 97 ) Portugal 2015 Application of QEC, REBA, and the OWAS in workers in tasks related to electric and electronic equipment.…”

Section: Resultsmentioning

confidence: 99%

Musculoskeletal disorders: OWAS review

et al. 2017

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The prevention of musculoskeletal disorders (MSD) is very important in the world. Governments and companies are the most interested. The objective of the present work is to review the literature on the applications of the OWAS method in the diverse sectors or fields of knowledge and countries from its publication to March 2017. The use of OWAS method has been classified by categories of knowledge, by country and by year. The search was made by selecting only the main collection of the Web of Science. This was selected by the option “Advanced search” using the term OWAS (ts=OWAS) for the time period of 1900 to 2017. A total of 166 results were found, consisting of conference papers and articles in scientific journals. In conclusion, the OWAS has been applied mainly in two sectors: “Manufacturing industries” and “Healthcare and Social assistance activities”. This method needs to be complemented with other indirect or direct methods. Also, whenever the OWAS has been used, whether individually or together with other methods, musculoskeletal disorders risks have been detected, this perhaps being an indicator to review the evaluation parameters because overestimating the risk.

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Section: Resultsmentioning

confidence: 99%

Musculoskeletal disorders: OWAS review

et al. 2017

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“…Many authors analysed production lines for automotive elements [84], plastics [83] or brick furnaces [81] using the REBA method. Conversely, Cornell University [72] developed a REBA-inspired musculoskeletal discomfort questionnaire, the AnyBody Modeling System (AMS) and electromyography measurements that identified the musculoskeletal disorders of employees on a harness assembly line.…”

Section: Production Linesmentioning

confidence: 99%

An Overview of REBA Method Applications in the World

Hita-Gutiérrez

Gómez-Galán

Díaz-Pérez

et al. 2020

IJERPH

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The objective of this work is to review literature, worldwide, in which the Rapid Entire Body Assessment (REBA) ergonomic assessment method was applied and count the number of times that REBA was applied together with other methods and subsequent incidence. The database used was the “Web of Science—Core Collection”. Only scientific articles and bibliographic reviews were included, analysing a total of 314 documents and selecting only 91. The use of the REBA method is indicated in terms of knowledge, country, year and journal sectors. It was most used in the knowledge areas of “Manufacturing” (24.18%), “Agriculture, forestry and fishing” (21.98%) and in “Other activities” (19.78%). One of the benefits of REBA is that it evaluates different body parts: upper limbs (arm, forearm and wrist), lower extremities, trunk and neck. It is a useful method to identify the forced postures adopted by workers to thus develop improvement measures if necessary. It is concluded that REBA method use has increased over the last decade, probably due to the digitization of knowledge. It is almost always applied in combination with other methods, and its use can be a positive indicator of company sustainability.

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“…Bad working posture will not only cause injury to muscles and skeletons but also lead to physiological fatigue which contributes to a decline in mental performance (Shikdar and Sawaqed 2004). Sanjog et al (2015) has made an attempt to assess the contributing role of workstation design, working posture concerning symptoms of musculoskeletal ailments and to find out inter-relationship between these factors in manufacturing. Thus, the comfort level of human working posture has a great influence on work efficiency and maintenance time.…”

Section: Time Measurement Of Maintenance Taskmentioning

confidence: 99%

A maintenance time prediction method considering ergonomics through virtual reality simulation

Zhou

Guo

et al. 2016

SpringerPlus

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Maintenance time is a critical quantitative index in maintainability prediction. An efficient maintenance time measurement methodology plays an important role in early stage of the maintainability design. While traditional way to measure the maintenance time ignores the differences between line production and maintenance action. This paper proposes a corrective MOD method considering several important ergonomics factors to predict the maintenance time. With the help of the DELMIA analysis tools, the influence coefficient of several factors are discussed to correct the MOD value and the designers can measure maintenance time by calculating the sum of the corrective MOD time of each maintenance therbligs. Finally a case study is introduced, by maintaining the virtual prototype of APU motor starter in DELMIA, designer obtains the actual maintenance time by the proposed method, and the result verifies the effectiveness and accuracy of the proposed method.

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Musculoskeletal ailments in Indian injection-molded plastic furniture manufacturing shop-floor: Mediating role of work shift duration

Cited by 18 publications

References 16 publications

Musculoskeletal disorders: OWAS review

Musculoskeletal disorders: OWAS review

An Overview of REBA Method Applications in the World

A maintenance time prediction method considering ergonomics through virtual reality simulation

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