A Comprehensive Review of Ergonomics Principles and Applications on Optimizing Workplace Performance and Well-being

References

[1] Maximum Heart Rate Formula

[2] Formula to predict maximum heart rate.

[3] HRMAX=220−𝐴HRMAX=220−A

[4] Astrand and Rhyming (1954)

[5] Heart Rate Measurement Methods

[6] Methods to measure heart rate.

[7] - wireless detection technology

[8] Zulkifi et al., (2012); Liu and Yu, (2013); Larki and Ruileng (2015)

[9] Perceived Exertion

[10] Heart rate as an index of task difficulty can be estimated by perceived exertion.

[11] The perceived exertion scale corresponds to 10% of the heart rate.

[12] Borg (1982)

[13] Table 2: Borg's Scale and Cardiovascular Parameters

[14] Task

[15] Perceived Exertion (Borg Scale)

[16] Source

[17] Very, very light

[18] 6

[19] Borg (1962)

[20] Very light

[21] 9

[22] Fairly light

[23] 11

[24] Hard

[25] 15

[26] Very hard

[27] 17

[28] Very, very hard

[29] 19

[30] Table 2 presents Borg's Scale alongside corresponding perceived exertion ratings for different tasks, spanning from very, very light to very, very hard. The scale, introduced by Borg in 1982, offers a subjective measure of exertion levels during physical activities. Tasks are categorized based on perceived effort, with ratings increasing as tasks become more strenuous. For instance, activities classified as very, very light correspond to a rating of 6 on the Borg Scale, while those deemed very, very hard are assigned a rating of 19. This table serves as a reference tool for assessing perceived exertion during various tasks, aiding in the evaluation of workload and exertional demands in different settings.

[31] Insights into Work Physiology and Energy Expenditure

[32] Work physiology applies physiological techniques to manual work, aiming to gauge physical stress levels by observing changes such as heart rate and oxygen consumption. Passmore and Durnin (1955) provide energy expenditure measurements for various activities, ranging from 5.0 cal/min to 9.8 cal/min. Datta and Ramanathan (2007) demonstrate how different load-carrying methods affect energy expenditure, with maintaining good postural balance being the most efficient. McCormick and Sanders (1982) highlight that task efficiency depends on both activity pace and age. Pontzer et al., (2015) estimated that the total energy expenditure for a 65 kg eutherian mammal is 5,550 kcal/day. These insights aid in assessing acceptable energy expenditure limits during work activities.

[33] This table 3 below outlines the grading of work according to energy expenditure and oxygen consumption. The grading system provides a framework for assessing the physical demands of various tasks based on their energy expenditure rates and corresponding oxygen consumption levels. Work is categorized into six grades, ranging from "Unduly heavy" to "Very light," with specific ranges for approximate oxygen consumption (in litres per minute), energy expenditure (in kilocalories per minute), and total energy expenditure over an eight-hour period (in kilocalories). This grading system offers valuable guidance for evaluating the intensity of different workloads and aids in designing strategies for managing and optimizing human performance in occupational settings. The data presented in this table are sourced from Passmore and Durnin (1955), providing foundational insights into the physiological aspects of work assessment.

[34] Table 3: Grading of Work based on Energy Expenditure and Oxygen Consumption

[35] Grade of Work

[36] Approx. Oxygen Consumption (litre/min)

[37] Energy Expenditure (kcal/min)

[38] Energy Expenditure (kcal/8hr)

[39] Unduly heavy

[40] Over 2.5

[41] Over 12.5

[42] Over 6,000

[43] Very heavy

[44] 2.0-2.5

[45] 10.0-12.5

[46] 4,800-6,000

[47] Heavy

[48] 1.5-2.0

[49] 7.5-10

[50] 3,600-4,800

[51] Moderate

[52] 1.0-1.5

[53] 5.0-7.5

[54] 2,400-3,600

[55] Light

[56] 0.5-1.0

[57] 2.5-5.0

[58] 1,200-2,400

[59] Very light

[60] Under 0.5

[61] Under 2.5

[62] Under 1,200

[63] Measurement Techniques

[64] Nordic Musculoskeletal Questionnaire (NMQ)

[65] The Nordic Musculoskeletal Questionnaire (NMQ), adapted by Health, Safety, and Environment (HSE) agencies, is widely utilized across different workforces, including supermarket workers and lock assemblers, to assess musculoskeletal issues such as pain and discomfort. The NMQ is structured into three sections: personal details, job-related information, and inquiries about musculoskeletal disorders affecting nine body regions. Additionally, respondents evaluate their perceived exertion using Borg's scale.

[66] Any modifications to the NMQ could introduce complexities, necessitating thorough validation and piloting to ensure reliability and effectiveness (Dickinson et al., 1992; Ikpambese et al., 2017). The careful management of these modifications is essential to maintain the questionnaire’s accuracy and applicability in diverse occupational settings.

[67] Heart Rate Measurement

[68] Heart rate monitoring using Polar Heart Rate Monitors is a valuable method for evaluating energy requirements during work shifts. This technology aids in assessing the physical demands of different tasks by comparing them against established levels of strenuousness (Saha, 1979). By providing real-time data on cardiovascular responses, Polar Heart Rate Monitors help in understanding the intensity of work activities and ensuring that tasks remain within safe and manageable limits. This approach supports efforts to optimize work conditions and improve overall workplace ergonomics.

[69] Ergonomic Assessments

[70] Posture Analysis

[71] Video recordings are used to assess worker postures with the aid of tools like OWAS (Occupational Work Analysis Software), which classifies postures into action categories based on their perceived harmfulness (Figlali et al., 2015; Ozkaya et al., 2018). This method provides a detailed analysis of how different postures contribute to musculoskeletal risks.

[72] In addition to these tools, European standards such as EN-614-1 and EN-1005-4 offer guidelines and parameters designed to mitigate musculoskeletal risks associated with workplace ergonomics (Berberoglu & Tojuc, 2013). These standards help in establishing safe working conditions and promoting practices that reduce the likelihood of musculoskeletal disorders.

[73] Rapid Upper Limb Assessment (RULA)

[74] The Rapid Upper Limb Assessment (RULA) is a widely used tool designed to assess biomechanical loading on the neck, trunk, and upper limbs. It provides a systematic method for evaluating postural risk factors and determining the need for ergonomic interventions based on observed postures and external loads. RULA is particularly effective for tasks that involve prolonged sitting or repetitive upper limb movements and is valued for its simplicity and ease of use, as it requires no special equipment. This makes it a practical choice for assessing and addressing ergonomic issues in various work settings (Qutunbuddin et al., 2013b).

[75] Rapid Entire Body Assessment (REBA)

[76] The Rapid Entire Body Assessment (REBA) is an effective tool for conducting a comprehensive postural analysis of entire activities. It assigns risk levels based on the assessment and provides recommendations for necessary interventions. REBA evaluates a range of postures, including static, dynamic, and unstable positions, making it adaptable to various industries and work environments. This tool is particularly useful for identifying potential ergonomic issues and guiding improvements to enhance worker safety and reduce musculoskeletal risk (Qutunbuddin et al., 2013b; Deros et al., 2016a).

[77] Basic Concept of Health, Safety, Environment, and Ergonomics (HSEE)

[78] The relationship between health, safety, environment, and ergonomics (HSEE) is intricate and significant. Ergonomics focuses on factors that impact individuals and their behavior, emphasizing the importance of appropriate design to ensure safety and efficiency. Poor design, particularly between humans and machines, can lead to decreased safety and management errors, which in turn can result in human error (Azadeh et al., 2015).

[79] Ergonomics encompasses various elements affecting individuals and their behavior at work. Inappropriate system design can lead to safety issues and management errors, which are harmful factors contributing to human error (Azadeh et al., 2008). According to Health, Safety, and Environment (HSE) definitions, human factors and ergonomics involve understanding how environmental, organizational, and individual factors influence workplace behavior. The goal is to enhance health and safety outcomes while reducing costs associated with workplace accidents (Azadeh et al., 2008).

[80] Integrated frameworks for HSEE models, such as the total ergonomics approach, have been proposed to improve safety and efficiency in various work settings (Azadeh et al., 2008). Research has also focused on methods for assessing health risks and evaluating the performance of occupational health and safety management systems, providing insights into improving safety and operational effectiveness (Hassim & Hurme, 2010; Chang & Liang, 2009).

[81] Research Gap:

[82] Despite extensive research on ergonomics, musculoskeletal health, and safety across various industries, there remains a significant gap in understanding the comprehensive integration of ergonomic principles and their practical application in effectively addressing musculoskeletal disorders (MSDs). Existing literature provides valuable insights into ergonomic assessments, techniques, and interventions; however, there is a pressing need for further research to bridge the divide between theoretical knowledge and practical implementation strategies.

[83] Current research often lacks exploration into the development and evaluation of holistic ergonomic models that account for multiple factors influencing workplace health and safety outcomes. Additionally, there is a notable absence of standardized methods for assessing the effectiveness of ergonomic interventions and management systems, particularly within diverse occupational settings. This gap hinders the ability to apply ergonomic principles consistently and effectively.Moreover, there is a deficiency of research investigating the long-term impacts of ergonomic interventions on reducing MSD incidence and improving overall worker well-being. Addressing these research gaps is crucial for enhancing the efficacy of ergonomic practices and fostering a safer, healthier work environment across various industries. By focusing on these areas, future studies can contribute to the development of more comprehensive and practical solutions for mitigating musculoskeletal disorders and improving workplace health.

[84] CONCLUSION

[85] In conclusion, this literature review highlights the significance of ergonomics, musculoskeletal health, and safety in optimizing workplace performance and ensuring employee well-being. The integration of ergonomic principles into work design and management systems is essential for preventing musculoskeletal disorders (MSDs), reducing workplace injuries, and enhancing overall productivity. The review underscores the complex interplay of physical and psychosocial factors contributing to MSDs and emphasizes the importance of addressing both aspects in ergonomic interventions.

[86] Furthermore, the review identifies key gaps in current research, including the need for comprehensive ergonomic models, standardized assessment methods, and longitudinal studies to evaluate the long-term effectiveness of interventions. Bridging these gaps requires interdisciplinary collaboration, innovative research methodologies, and a focus on translating theoretical knowledge into practical solutions.

[87] RECOMMENDATIONS

[88] Based on the findings of this review, the following recommendations are proposed:

[89] Development of Comprehensive Ergonomic Models: Researchers should focus on designing holistic ergonomic models that integrate environmental, organizational, and individual factors to address the complex nature of workplace health and safety.

[90] Standardization of Assessment Methods: Efforts should be made to standardize ergonomic assessment methods and metrics to facilitate comparison across studies and industries, enabling more effective evaluation of interventions.

[91] Longitudinal Studies: Long-term studies are needed to assess the sustained impact of ergonomic interventions on reducing MSDs and improving worker well-being over time.

[92] Interdisciplinary Collaboration: Collaboration between researchers, practitioners, and policymakers from diverse fields is essential to develop evidence-based ergonomic interventions and promote their implementation in various occupational settings.

[93] Knowledge Translation: Efforts should be made to bridge the gap between research and practice by translating findings into practical guidelines, training programs, and policy recommendations for organizations and stakeholders.

[94] By implementing these recommendations, stakeholders can work towards creating safer, healthier, and more productive work environments that prioritize the well-being of employees while enhancing organizational performance.

[95] Acknowledgement:

[96] Special mention to the Petroleum Trust Development Fund (PTDF) for awarding the MSC 2021 full time In-country scholarship that facilitated this research.

[97] REFERENCES

[98] Abu-Kasim, M. Z. H. and Mohd-Taib, M.F. (2022). Ergonomics Evaluation for TurningMachinists in Oil and Gas Industry, International Journal of Integrated Engineering. Vol. 14 (2); 55-61

[99] Astrand P.O. and Rhyming I.. (1954). A Nomogram for Calculation of Aerobic Capacity (Physical Fitness) from Pulse Rate during Sub-maximal Work. J Apply Physio, Vol 7 (2), 218 - 222.

[100] Azadeh, A., Mohammed Fam, I., Nouri, M.A. (2008). Integrated health, safety, environment and ergonomic management system (HSE-MS): An efficient substitution for conventional HSE-MS. Journal of Scientific and Industrial Research. Vol. 67, pp 403-411.

[101] Azadeh, A., and Sheiklalishahi, M, (2015). An Efficient Taguchi Approach for the Performance Optimization of Health, Safety, Environment and Ergonomics in Generation Companies. Safety and Health at Work 6(2). 77 – 84.

[102] Berberoğlu, U. and Tojuc, B. (2013) work-related musculoskeletal disorders at two textile factories in Edirne, turkey Balkan Medical Journal. Vol. 30:23-7. doi10.5152/balkanmedj.2012.069

[103] Borg G.A. (1982). Psychophysical Bases of Perceived Exertion. Med Sci Sports Exerc. Vol 14. 377 – 381.

[104] Chang, J.L., Liang, C.L., (2009). Performance evaluation of process safety management systems of paint manufacturing facilities. Journal of Loss Prevention in the process Industries.Vol. 22, pp 398-402.

[105] Datta, S.R. and Ramanathan, N.L. (2007). Ergonomic Comparison of Seven Modes of Carrying Loads on the Horizontal Plane. Tailor and Francis online Vol 14(2). 270.

[106] Deros, B. M., Ali M. H., Mohamad D., and Daruis D. D. I. (2016a). Ergonomic risk assessment on oil palm industry workers, Iran Journal of Public Health; Vol.45 (1); 44-51.

[107] Deros, B. M., Yusoff, A.R.M., Ismail, S.J., and Daruis D. D. I. (2016b). Optimizing workstation design for standing work system in an electronics assembly work. Iran Journal of Public Health; Vol.45 (1); 17-24.

[108] Dickinson C.E., Campion K., Foster A.F., Newman S.J., Orourke A.M.T. and Thomas P.G. (1992). Questionnaire Development: An Examination of the Nordic Musculoskeletal Questionnaire. Applied Ergonomics. Vol 23 (3). 197 – 201.

[109] Figali, N., Cihan, A., Esen, H., Figali, A., Cesemi, D., Gullu, M.K., and Yilma, M.K. (2015). Image Processing aided Working Posture Aanalysis: I – OWAS. Computer and Industrial Engineering. 85, 384 – 394.

[110] Hassim, M.H., Hurme, M., (2010). Inherent occupational health assessment during process research and development stage. Journal of Loss Prevention in the process Industries. Vol.23, pp127-138.

[111] Ikpambese, K.K. Tuleun, L.T. and Ager, P. (2017), Artificial neural network prediction of Compressibility and oil absorption of gasket produced from palm kernel fibres, Journal of Engineering Research, Vol. 17, No. 3, pp 32-37.

[112] Jagadish, R., Asif, A., Sameer, Q., Ayesha, S. and Qutubuddin, S.M. (2018). Ergonomic Risk Assessment of Working Postures in Small Scale Industries, Grenze International Journal of Engineering and Technology, Special Issue. Grenze ID: 01.GIJET.4.3.41

[113] Larki D.L. and Ruileng W., (2015). Wireless HRM in Personal Emergency Response System in Design and Diagnostics of Electric Circuit Systems (DDECS). IEEEE 18th International Symposium. Pp 299 – 300.

[114] Liu G.C. and Yu H.Y. (2013). Design and Implementation of a Bluetooth 4.0 Based Heart Rate Monitoring System in Sport IOS Platform in Communication, Circuits and Systems (ICCCAS), 2013 International Conference. Pp 112 – 115.

[115] Mahmood N.H., Uyop U., Zularnain N., Harun F.K.C. Kamarudin M.F. and Linoby A. (2011). LED Indicator for Heart Rate Monitoring System in Sport Application in Signal Processing and its Application. IEEE 7th International Colloquim. Pp 64 -66.

[116] McCormic. E.J. and Sanders, M.S. (1982). Human Factor in Engineering and Design, Mc Graw, HillBook Company New York. Fifth Edition.

[117] Ozkaya, K., Palot, O. and Kalinkara, V. (2018). Physical Workload Assessment of Furniture Indisutry Workersby Using OWAS Method. Ergonomics Open Journal, 11(1).

[118] Passmore R. and Durnin J.V.G.A. (1955). Human Energy Expenditure. Physical Reviewers. Vol 35 (5). 821 – 832. Retrieved from: https://doi.org/10.1152/Physrev.1955.35.4.801. 2022.

[119] Pontzer H., Raichlen D.A., Wood B.M., Emery T.M., Racette S.B. (2015). Energy Expenditure and Activity Among Hadza Hunter-gatherers. Am.j.Biol. In press. Doi.10.102/ajhb.22711.

[120] Robert R. and Roberto L., (2002). The Surprising History of the HRMAX = 220 – Age. Intrnational Jorunal of Exercise Physiology Vol(5)2. Pp 1 – 7.

[121] Qutubuddin, S.M., Hebbal, S.S., Kumar, A.C.S. (2013b). Ergonomic Risk Assessment using Postural Analysis Tools in a Bus Body Building Unit, Industrial Engineering Letters Vol. 3(8); 10-20.

[122] Saha, P.N., Datta S.R., Barnerjee P.K., Nathyane G.G. (1979). An Acceptable Workload for Indian Workers. Ergonomics. Vol 22(9). 1059 – 1071

[123] Seidel, D.H., Ditchen, D.M., Hoehne-Huckstadt, U.M., Reiger, M.A. and Steinhilber, B. (2019). Quantitative Measures of Physical Risk Factors Associated with Work Related Musculo-skeletal Disorders of the Elbow: A systematic Review. International Journal of Environmental Research and Public Health. Vol. 16(1); 1 – 23.

[124] Subtrata, D. and Subhalakshmi, N., (2022). A Study on Musculoskeletal Disorders in Garment Industry.Scientific Paper Tekstilna Industrija. Vol. 70(2). 62 – 65.

[125] Sukri P. and Lilin R., (2021). Control of The Risk of Musculoskeletal Disorders in the Food Industry: Systematic Review. P 4254.

[126] Surenda, S., (2024). Enhancing Workplace Safety with Ergonomic Assessments using REBA and RULA Powered Computer Vision Technology. 3.

[127] Vijaywargiya A. and Bhiwapurkar M., (2020). Biomechanical Evaluation of Manual Material Handling Task inthe Workplace: A Comprehensive Review Lecture Notes in Mechanical Engineering. Pp. 295 – 303.

[128] William, M. A. S. (2005) an investigation into the ergonomics of the western cape construction Industry. A Master’s dissertation presented to the higher degrees committee of cape peninsula University of science and technology.

[129] Zulfikli N.S.A., Harun F.K.C and Azahar N.S. (2012). XBEE Wireless Sensor Networks for Heart Rate Monitoring in Sport Training in Biomedical Engineering (ICOBE) 2012 International Conference. P 444.

@article{1706185,
      author = {Fidelis Mne CHIA},
      title = {A Comprehensive Review of Ergonomics Principles and Applications on Optimizing Workplace Performance and Well-being},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {2},
      pages = {680-689},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706185.pdf},
      abstract = {This paper delves into the interdisciplinary field of ergonomics, which aims to optimize workforce performance and well-being by aligning workplace elements with workers' capabilities. It explores the historical significance of ergonomics in mitigating musculoskeletal disorders (MSDs) and enhancing workplace productivity. Key concepts such as ergonomic modeling, musculoskeletal system biomechanics, and the ergonomic assessment of carrying, holding, and lifting tasks are discussed. Additionally, the paper examines the physiological aspects of work, including heart rate and energy expenditure measurements, and presents ergonomic assessment techniques such as the Nordic Musculoskeletal Questionnaire (NMQ), posture analysis, and rapid assessment tools like the Rapid Upper Limb Assessment (RULA) and the Rapid Entire Body Assessment (REBA). Furthermore, it outlines the fundamental concepts of Health, Safety, Environment, and Ergonomics (HSEE), emphasizing the importance of integrated approaches to enhance workplace safety and efficiency. This abstract provides a comprehensive overview of ergonomic principles, methodologies, and their applications in promoting occupational health and well-being.},
      keywords = {Ergonomics, Musculoskeletal Disorders, Biomechanics, Work Physiology, Health and Safety, Environmental Factors, Human Factors, Workplace Optimization.},
      month = {August},
  }