Biomechanical model for energy consumption in manual load carrying on Indian farms

Jena, Swagatika; Kumar, Adarsh; Singh, Jitendra; Mani, Indra

doi:10.1016/j.ergon.2016.08.005

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…In particular, the spinal pain appeared to be related to the early onset of the menopause and increased with age. In a different manner, Jena et al [58] developed a biomechanical model to estimate the consumption of the metabolic energy for manual currying under various conditions. Experimental tests were also performed regarding three modes (head, shoulder, and back), three slopes (0, 5, and 10 degrees), and three loads (10,15, and 20 kg load) in the laboratory.…”

Section: Load Carryingmentioning

confidence: 99%

A Review on Ergonomics in Agriculture. Part I: Manual Operations

2020

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Background: Agriculture involves several harmful diseases. Among the non-fatal ones, musculoskeletal disorders (MSDs) are the most prevalent, as they have reached epidemic proportions. The main aim of this investigation is to systematically review the major risk factors regarding MSDs as well as evaluate the existing ergonomic interventions. Methods: The search engines of Google Scholar, PubMed, Scopus, and ScienceDirect were used to identify relevant articles during the last decade. The imposed exclusive criteria assured the accuracy and current progress in this field. Results: It was concluded that MSDs affect both developed and developing countries, thus justifying the existing global concern. Overall, the most commonly studied task was harvesting, followed by load carrying, pruning, planting, and other ordinary manual operations. Repetitive movements in awkward postures, such as stooping and kneeling; individual characteristics; as well as improper tool design were observed to contribute to the pathogenesis of MSDs. Furthermore, low back disorders were reported as the main disorder. Conclusions: The present ergonomic interventions seem to attenuate the MSDs to a great extent. However, international reprioritization of the safety and health measures is required in agriculture along with increase of the awareness of the risk factors related to MSDs.

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Section: Load Carryingmentioning

confidence: 99%

A Review on Ergonomics in Agriculture. Part I: Manual Operations

2020

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“…The conclusions show that structural changes have little effect on energy demand. In addition, there are also studies on the overall state of energy [15][16][17][18]. Wang et al [19] predicted the total energy consumption of China and India.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Coal Consumption in India by 2030: Using Linear Modified Linear (MGM-ARIMA) and Linear Modified Nonlinear (BP-ARIMA) Combined Models

Yang

2019

Sustainability

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India's coal consumption is closely related to greenhouse gas emissions and the balance of supply and demand in energy trading markets. Most existing research on India focuses on total energy, renewable energy and energy intensity. To fill this gap, this study used two single forecasting models: the metabolic grey model (MGM) and the Back-Pro-Pagation Network (BP) to make predictions. In addition, based on these two single models, this study also developed the ARIMA correction principle and derived two combined models: the metabolic grey model, the Autoregressive Integrated Moving Average model (MGM-ARIMA) and Back-Pro-Pagation Network; and the Autoregressive Integrated Moving Average model (BP-ARIMA). After fitting India's coal consumption during 1995-2017, the average relative errors of the four models were 2.28%, 1.53%, 1.50% and 1.42% respectively. The forecast results show that coal consumption in India will continue to increase at an average annual rate of 2.5% during the period from 2018-2030.

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“…This model has been widely used in many fields, such as agriculture and industry [6,18,25,46,47]. Battini et al used the model in order to estimate the ergonomics level, which helps estimate the energy expenditure values for solving assembly line balancing problem [18].…”

Section: Problem Descriptionmentioning

confidence: 99%

A Biobjective Model for Manual Materials Handling with Energy Consumption Being Accounted For

Zhang

Fan

Xiong

et al. 2018

Mathematical Problems in Engineering

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Aiming at production environment and operation design in manual materials handling which often overlook workers' physiological factors and cause fatigue, even work-related musculoskeletal disorders, we construct a biobjective model based on economics and ergonomics. In the model, two objectives include functions about handling time and energy consumption. Based on the openness of IGRIP/ERGO simulation software combined with MATLAB, we design and develop the interactive simulation platform, where program language can be automatically generated. Then, we analyze the case about handling operations in an automobile brake pad manufacturing company, and the number of input materials and process scheduling are taken as research objects. Finally, the results show that the win-win optimal solution can be usually obtained between productivity and ergonomics for decision makers according to the proposed biobjective model. Moreover, the case study demonstrates that the interactive simulation platform can be devoted to providing the solution for modern production operation directly and conveniently, which can make the production environment and operation design in accordance with ergonomics.

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Biomechanical model for energy consumption in manual load carrying on Indian farms

Cited by 6 publications

References 29 publications

A Review on Ergonomics in Agriculture. Part I: Manual Operations

A Review on Ergonomics in Agriculture. Part I: Manual Operations

Forecasting Coal Consumption in India by 2030: Using Linear Modified Linear (MGM-ARIMA) and Linear Modified Nonlinear (BP-ARIMA) Combined Models

A Biobjective Model for Manual Materials Handling with Energy Consumption Being Accounted For

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