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Designing machines without involving the human factor can cause users discomfort, fatigue, and health problems. Ergonomic criteria when designing machines can increase user effectiveness. PT. Noang Prima Utama uses an extruder to produce pasta under the “LocaPasta” brand. Complaints of pain in the neck and back for 1-3 days due to standing position, bending down, and arms reaching forward for a long-time during production. The research objective was to evaluate the extruder design using the anthropometric method. Anthropometric data were tested for uniformity, data adequacy, and the determination of percentiles. Machine dimensions were compared with user anthropometer data for design improvement. When feeding materials into the hopper, the operator’s working posture needed to be more ergonomically adequate due to raised arms and pushing the material bit by bit (repetitively). The evaluation of the machine design based on anthropometric dimensions reveals several improvements. The redesigned extruder machine includes changes such as adjusting the footstep height to 27.7 cm so that the height of the setting box to 120.95 cm from the footstep (adjusting to standing shoulder height), allowing rotation of the setting box and the hopper height from the footstep is parallel to the standing elbow height which is 92.1 cm. With the implementation of the new prototype, the operator’s working posture no longer involves bending over while adjusting the machine, and the arms can comfortably rest on the hopper while feeding the material.
Designing machines without involving the human factor can cause users discomfort, fatigue, and health problems. Ergonomic criteria when designing machines can increase user effectiveness. PT. Noang Prima Utama uses an extruder to produce pasta under the “LocaPasta” brand. Complaints of pain in the neck and back for 1-3 days due to standing position, bending down, and arms reaching forward for a long-time during production. The research objective was to evaluate the extruder design using the anthropometric method. Anthropometric data were tested for uniformity, data adequacy, and the determination of percentiles. Machine dimensions were compared with user anthropometer data for design improvement. When feeding materials into the hopper, the operator’s working posture needed to be more ergonomically adequate due to raised arms and pushing the material bit by bit (repetitively). The evaluation of the machine design based on anthropometric dimensions reveals several improvements. The redesigned extruder machine includes changes such as adjusting the footstep height to 27.7 cm so that the height of the setting box to 120.95 cm from the footstep (adjusting to standing shoulder height), allowing rotation of the setting box and the hopper height from the footstep is parallel to the standing elbow height which is 92.1 cm. With the implementation of the new prototype, the operator’s working posture no longer involves bending over while adjusting the machine, and the arms can comfortably rest on the hopper while feeding the material.
BACKGROUND: The dimensional seat design process should consider both the users’ tasks and their physical characteristics. OBJECTIVE: To use an approach for the design and evaluation of seat dimensions based on the anthropometric characteristics of the Iranian population and the requirements of tractor operators. METHODS: Some existing equations relating the seat dimensions to anthropometric characteristics were modified according to logical justifications and international standards. A new mathematical-statistical method was used to extract the equations estimating the constant seat dimensions based on the theoretical maximizing of the accommodation level. In addition, an Overall Seat Accommodation Score (OSAS) was developed to represent the mean of seat dimensions accommodation level and dimensional accommodation equality, simultaneously. RESULTS: The dimensional seat design can be affected under different conditions of adjustability, esthetic, and space limitations. However, it was shown that it is possible to improve the design of tractor seats without any significant increase in the final cost and complexity. CONCLUSION: A new approach was used for tractor seats for a sample of Iranian operators and can be used for the design and evaluation of tractor seats for other target populations.
Farm women are often forced to work in extremely hazardous conditions due to their limited access to improved agricultural technologies. This circumstance makes agricultural work physically demanding, requiring significant physiological effort and the maintenance of good posture. It is also very exhausting, time-consuming, and stressful. The study was designed to evaluate and quantify the drudgery involved in the rice-wheat production system for rural women. Three replications of a 10-min work cycle without a break were used to assess the physiological and postural demands of various farm tasks on the female workers. Observations were recorded on farm women workers who were in normal health, without any major illness, and regularly involved in farm operations. In the attempt to obtain and analyze the prioritized drudgery experiences in crop production activities through drudgery assessment and reduction, various ergonomically sound farm tools and implements were provided for crop cultivation and intercultural operations. Data indicating musculoskeletal disorders were analyzed by ergonomics assessment of postural and biomechanical assessments using the Human Physical Drudgery Index (HPDI), resulting in the maximum drudgery reflecting very high risk in transplanting (48.4%), followed by threshing (47.2%), load carrying (46.00%), and harvesting (45.14%). For physiological ergonomics quantifications, the most drudgery-prone activities in the rice-wheat production system, i.e., transplanting, harvesting, threshing & post-harvest, and load carrying, were evaluated, and it was found that drudgery is caused by different activities with reflects working energy expenditure rate ranging from ~7.00 to 12.00 (kJ/min) and total cardiac cost of work (TCCW) ~ 331.00 to 524.00. Multivariate regression analysis was employed to drive relationships between energy expenditure rate (dependent variable) and other independent variables, such as age, body mass index (BMI), mid-upper arm circumference (MUAC), calf circumference (CC), skinfold measurements, body density (D), % body fat, fat mass, and fat-free mass (kg). It was found that energy expenditure rate during various crop production practices is positively correlated with independent variables (R = 0.721, R2 = 0.520, Adjusted R2 = 0.518, Standard Error of Estimate = 0.0324, Durbin-Watson = 1.531). It was found that with higher physiological parameters, the corresponding energy expenditure is maximized relating to the drudgery in respective agricultural activities. The present study addressed the magnitude of drudgery for women farmers in the rice-wheat production system and its mitigation strategy.
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