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He has fulfilled all the requirements as mentioned in the rules and regulations for submission of thesis for PhD degree of Indian Institute of Technology Guwahati. Occupational health is one of the basic critical issues for the handloom sector and ignorance about these issues is very prominent.

Abstract

After statistical analysis of the collected data, it was found that the light level in the handlooms was markedly poor and far below the recommended standards, while the noise level near the right ear of the weaver was high throughout the year. Proposals to correct the prevailing levels of lighting and noise and to reduce the impact of these factors on the occupational health of weavers through specific affordable design interventions / recommendations to increase lighting levels and some general recommendations to control the impact of noise in order to improve the general well-being of weavers were proposed in published literature of this research.

Summary of the research

Chapter V – General discussion and conclusion of the overall thesis 143

Suggestions for correcting the prevailing level of lighting and noise and their impact on occupational health and to reduce the impact on the occupational health of weavers.

Values ​​were expressed as mean ± SD 107 4.4 Noise level (dBA) measured at different positions of the handloom. Weighted average demand cognitive values ​​as reported by weavers while working on handlooms.

List of Tables

Monthly representation of correlation properties (r and r2) showing the significance of the difference between illumination and questions in the questionnaire. Comparison of average observed value data (monthly, seasonally and throughout the year) with standard work heart rate levels (bpm) of the weavers at the handloom workstation.

Nomenclature

Introduction

  • Environmental factors and occupational health
  • Scenario of environmental research in the handloom sector
  • Scenario in handloom sector of Bargarh district
  • Research gap and Justification of the present research
  • Research Questions
  • Problem statement

Distance from the source of sound leads to variations in the intensity of the sound. How do environmental factors, especially lighting and noise, affect the physical, physiological and psychological conditions of the weavers involved in the Indian handloom sectors?.

Fig. 1.1 Underground Pit Loom ( adopted from Handloom Census Report2009 - 2010 )  The  weaving  work  is  monotonous  and  excruciating  in  nature  and  under  these  adverse conditions, a weaver weaves at least for more than 8 h per day
Fig. 1.1 Underground Pit Loom ( adopted from Handloom Census Report2009 - 2010 ) The weaving work is monotonous and excruciating in nature and under these adverse conditions, a weaver weaves at least for more than 8 h per day

Aim and Objectives

  • Objectives
  • Hypothesis
  • Expected outcome
  • Organization of the thesis
  • Review of Literature
    • Introduction
    • Textile as an Industry

In the year 2005, the textile and clothing industry of the world joined the multilateral trading system. Indian handlooms have a respected place in the national and traditional design terminology of the world.

Contribution of Total cloth production(%)

Handlooms in India

  • History and Origin of the Handloom Industry in India
  • Handloom in India: State-wise scenario

Being a decentralized sector, it is a household-based industry to which the entire family contributes and is spread across thousands of towns and cities in the country. Analysis of state production revealed that, except the North-Eastern states, all the handloom units of the other states were mainly engaged in commercial production.

Fig. 2.4   State wise handloom workers households     (Source:  Handloom Census of India 2009-2010 )
Fig. 2.4 State wise handloom workers households (Source: Handloom Census of India 2009-2010 )

Name of State

Maximum commercial production of handloom came from the state of Karnataka and Uttar Pradesh, while in Tamil Nadu, Andhra Pradesh, Odisha and West Bengal, commercial production was carried out in certain pockets and the rest of handloom households were engaged in domestic or mixed production (Handloom Census of India 2009-2010). Northeastern states with the largest number (80.2%) of households owning handlooms, and Odisha ranked second with 77.5% households owning handlooms (Fig. 2.5) compared to the national average (66.5%) and there 33.5% of households in different parts did not have handlooms of the land (Fig. 2.6).

Loom Owning Households(%)

Loom Owning Households (%)

Textiles and Handlooms with respect to the Indian economy

Weaving and handloom fabrics form an integral part of India's rich culture, heritage and tradition. Some of the major international players importing Indian handloom products include IKEA, Wal-Mart, Target Corporation, Habitat and Town and Country Linen (IBEF, 2017).

Fig. 2.8   Year-Wise  Total  Cloth Production includes Handloom, Power loom and Mill  sector
Fig. 2.8 Year-Wise Total Cloth Production includes Handloom, Power loom and Mill sector

Current scenario and strategy for reviving handloom

It has been observed that supply of yarn (raw material) and marketing are the two biggest constraints for the handloom industry. Designers who help improve the face value of handloom products can play a vital role in promoting handloom. Efforts in machine development for the handloom industry have been oriented towards improving machine and labor productivity without sacrificing traditional.

Fig. 2.10   Weaver weaving Ikat Sari on the Handloom
Fig. 2.10 Weaver weaving Ikat Sari on the Handloom

Rural Scenario with respect to Handloom

  • Handlooms in eastern states of India with the special focus on Odisha state

Although there is an increasing trend of export, the earnings of the weavers are not remunerative, that is, it has been an important part of the ethnic Indian women's wear in the western Odisha society. Most of the weavers had no agricultural land as their secondary source of income.

Fig. 2.11  Production of major fabrics in Odisha. ( Source: Handloom
Fig. 2.11 Production of major fabrics in Odisha. ( Source: Handloom

Different types of looms used by Indian weavers

  • Loom: Definition and Type
  • Motions of Weaving

The handloom sector is playing a vital role in the production of intricate fabrics which indirectly leads to contribution to the country's economy (Kondaiah, 2010). Developmental works have been carried out in the power loom industry to reduce the weight of the looms and improve their productivity. Beating is a motion of beating the end of the weft fabric until the fabric falls with the help of the cane on the sley.

Fig. 2.15  Skeleton diagram of frame handloom  ( Source: Banerjee, 1982 )
Fig. 2.15 Skeleton diagram of frame handloom ( Source: Banerjee, 1982 )

Environmental Factors and its impact on occupational health

Small scale industries play a significant role in India as well as many other countries of the world. All occupations, including textiles, involve health and safety risks (Cullen et al., 2005) in all parts of the developing world. Methods of environmental assessment of the human activities are inevitably necessary to reduce the environmental impact.

Environmental Issues in Handlooms Sector

  • Illumination: definition, types, measurement and health impact
  • Noise: Definition, Types, Measurement, Health impact Definitions, Commonly Used Terms, Units and standards

Studies also found that in regulated offices about 90% of workers were disturbed by noise, of which 35% were severely affected (Nemecek and Grandjean, 1973). In this contemporary world, most of the activities are taking place in the indoor physical environment. The result of physiological damage is the permanent hearing loss of the ear mechanisms.

Fig. 2.19   Range of Visible Radiation ( Source: Bureau of Energy Efficiency, 2005 )  Instruments used for measuring illumination
Fig. 2.19 Range of Visible Radiation ( Source: Bureau of Energy Efficiency, 2005 ) Instruments used for measuring illumination

Status of handloom sector in Odisha with reference to environmental issues

In the present scenario, the main problem faced by weavers is poor efficiency and product quality on handlooms, which may be due to poor physical environmental conditions indoors. In order to increase the efficiency of the system, it is mandatory to improve the indoor physical environmental conditions, especially the lighting and noise conditions around the men's and handloom workstations. In the present research, an attempt was made to evaluate the effect of low light and high noise on the occupational health of handloom weavers and to investigate the contributing factors.

Methodology

Location of the Study

The working hours spent on the loom in commercial weaving are longer than in traditional weaving. Of the total handloom production in Odisha, over 55% of handloom production comes from Bargarh district and it is one of the major income generating districts, located in the western part of Odisha (Fig. 3.1). Bargarh is accredited in the handloom cluster district of category 'A', with over 1000 handlooms in working condition.

Fig. 3.1  Handloom clusters distribution on the map of Odisha  ( adapted from Government  of Odisha Website http://www.odisha.gov.in/textiles/index.htm visited on 06.03.2017 )
Fig. 3.1 Handloom clusters distribution on the map of Odisha ( adapted from Government of Odisha Website http://www.odisha.gov.in/textiles/index.htm visited on 06.03.2017 )

Sampling

In this study, only male weavers have been considered as they are mainly associated with the main weaving activity (85%) in Bargarh area (Handloom Census of India and have adopted this activity on a commercial scale. Moreover, it was found that the weavers, who worked on the handloom were also engaged in other auxiliary work outside the handloom.To establish the problem statement of the weavers' ailments due to exposure to higher noise level and low illumination level, instead of comparing experimental group (weavers) with the control group, statistical correlation technique was used.

Table  3.1  Villages selected from eight ‘A’ category handloom clusters and  two block-  level clusters of Bargarh district, Odisha
Table 3.1 Villages selected from eight ‘A’ category handloom clusters and two block- level clusters of Bargarh district, Odisha

Subjects

  • Demographic exploration

Some of the weavers produced sarees to sell directly in the market; while others used the loom on a labor basis, working for the cooperative society or some private house for the purchase of the loom. All the looms were placed only in the homes of the weavers, who adopt this profession as their full-time activity. About 19% of the weavers used artificial light even during the day due to unsuitable lighting conditions prevailing during the day.

Research Framework

In addition to 2/100s and 2/80s, Maximum weavers used 2/120s double cotton yarn for fabric production and mainly produced Maximum Double Ikat sarees.

Fig. 3.3  Research Framework.
Fig. 3.3 Research Framework.

Design

The weavers in the clusters were collected for data collection in such a way that a minimum of 30 weavers could be surveyed each day of the month to cover the sample size of 480.

Parameters

  • Assessment of Illumination (Lux )
  • Estimation of Noise (dBA)
  • Physiological Measurements
  • NASA Task Load Index for Cognitive Psychological Assessment NASA Task Load Index (TLX) is the most widely accepted subjective
  • Questionnaires for the assessment of impact of illumination and noise

The noise level (in dBA) was measured at two different locations, one near the weaver's right ear and another in the middle of the shed every month throughout the year on each handloom. The weaver's heart rate was measured by counting the pulse of the dominant hand of the weaver in supine rest before they started working on the handloom as in their daily routine. Discomfort rating of the weavers was evaluated using the Borg CR10 (Category Ratio) scale.

Fig. 3.6  Original loom image signifies the positions L 1 , L 2 , L 3  and L 4  for measuring the  illumination values.
Fig. 3.6 Original loom image signifies the positions L 1 , L 2 , L 3 and L 4 for measuring the illumination values.

Statistical Analyses

  • Reliability of questionnaires (Illumination and Noise)
  • Friedman’s Chi-Squared (χ 2 F ) tests for independence
  • Correlation between environmental factors and their subjective perception

After validating the reliability of the questionnaires, they were scored according to the number of responses and the generated data then underwent the Friedman Chi-Squared test (χ2F) for independence. The questions in the questionnaire for (a) impact of lighting (light) and (b) impact of noise (sound) on the weavers' psychophysiological state (and discomfort) were subjected to Friedman's Chi-Squared (χ2F) test for association between lighting/noise level and psychophysiological discomfort, to investigate whether the questions were independent of lighting level / noise levels; because a significant correlation between questions and noise or lighting would influence the respondent while recording their answers to the questions in the questionnaires. To investigate whether lighting and noise affect the health and performance of handloom sector workers, their subjective responses (Through the administered questionnaire) to the exposure to lighting and noise were evaluated using Spearman's correlation coefficient (r).

RESULTS

  • Comparison of illumination (yearly average level) of the loom workstation with recommended standard values

Between-group analyzes of lighting level over the months at 0800 hours (Table 4.2) reflected significant (p ≤ 0.001) differences in most of the cases. The values ​​(Mean ± SD) of the lighting of workplace, measured at different places of the handloom and categorized under different climatic seasons, are shown in Table 4.6. A significant (p ≤ 0.001) difference in the lighting was observed between all pairs of seasons during all four times of the day, as reflected in Table 4.6.

Fig. 4.1  Mean illumination level (lux) measured on each handloom workstation (month- (month-wise)
Fig. 4.1 Mean illumination level (lux) measured on each handloom workstation (month- (month-wise)

Comparison of noise level at handloom workstations .1 Noise levels compared pair wise across 12 months

  • Comparison of Noise (yearly average level) of the loom workstation with recommended standard values

EMIN – Minimum value of sound near the weaver's right ear CMAX – Maximum value of sound in the center of the stable; CMIN – Minimum noise value in the center of the stable. The analyzes of the maximum noise level near the weaver's ear (EMAX) over the months (see Table 4.9) revealed significant (p ≤ 0.001) differences in most cases. Analyzes of the minimum noise level near the right ear (EMIN) of the weaver (see Table 4.10) revealed significant (p ≤ 0.001) differences in most cases.

Table 4.8 Noise level (dBA) measured on two locations in the handloom shed (Month  Wise)
Table 4.8 Noise level (dBA) measured on two locations in the handloom shed (Month Wise)

Comparison of heart rate of the weavers at loom workstations

  • Heart rate compared pair wise across 12 months

The values ​​(Mean ± SD) of heart rate of the weavers, grouped according to different climatic seasons, were shown in Table 4.17. The significance of heart rate variation at each loom workstation across different seasons was also reflected in the same table. A significant difference (p ≤ 0.001) in resting heart rate was observed in all pairs of seasons, as reflected above.

Fig. 4.7  Working Heart Rate (bpm) of the weavers on the handloom (Month Wise)  Table  4.16  presented  pair-wise  between-group  analyses  of  working  heart  rate  across the months
Fig. 4.7 Working Heart Rate (bpm) of the weavers on the handloom (Month Wise) Table 4.16 presented pair-wise between-group analyses of working heart rate across the months

Cognitive workload analyses

Resting heart rate revealed a gradual decreasing trend from summer season through monsoon season to winter season (Fig. 4.8). It is clear from NASA's TLX evaluation that it was the need of the hour to focus on reducing perceived physical demand, effort and frustration among weavers by providing the necessary corrective input to improve weavers' working conditions at the station. their work. . Weighted average ratio cognitive demand values ​​as reported by weavers during loom work using NASA's TLX scale. MD, PD, TD, OP, EF and FR indicate mental demand, physical demand, temporal demand, performance, respectively , effort and frustration.

Analyses of responses to questionnaire constructed for subjective evaluation of the impact of illumination and

  • Analysis of responses to the questionnaire for impact of illumination
  • Analysis of responses to the questionnaire for impact of noise
  • Reliability of questionnaire related to existing workplace illumination level
  • Reliability of questionnaire related to existing workplace noise level
  • Friedman’s Chi-Squared (χ 2 F ) test for independence of association for questionnaire on illumination
  • Friedman’s Chi-Squared (χ 2 F ) test for independence of association for questionnaire on Noise
  • Spearman’s correlation coefficient (r) and Coefficient of Determination (CoD, r 2 ) for correlation of illumination level and
  • Spearman’s correlation coefficient (r) and Coefficient of Determination (CoD, r 2 ) for correlation of Noise level and
  • Correlation matrix to analyse month wise vs. question wise inter- item correlation

The correlation between the assessment of perceived exertion (Q25) with lighting level showed indirect correlation with variable tendency and suffering on the perceived exertion with poor lighting level. The testament of the statistical inference reflected that the correlation of fatigue (Q3) with the prevailing noise conditions with varying tendency, caused greater degree of suffering on the fatigue with high noise level. Data regarding the correlation of the rating of perceived exertion (Q7) with noise level showed direct correlation with variable tendency and compromised on the perceived exertion with high noise level.

Table 4.19 Analysis of questionnaire on discomfort due to prevailing illumination level
Table 4.19 Analysis of questionnaire on discomfort due to prevailing illumination level

General discussion and conclusion of the overall thesis

  • Introduction
    • Lack of research and studies on the impact of prevailing illumination and noise levels on the occupational health of the
    • Textile Industry: Global and Indian Scenario
    • Scenario of handlooms in India
    • Need for research initiatives in Indian Handloom sector from occupational health perspectives
  • Research findings
  • Key Findings
  • Fulfilment of objectives
  • Testing of hypothesis
  • Suggestions towards rectifying prevailing level of illumination and noise to reduce their impact on
    • Specific recommendations towards design interventions for enhancing illumination level

This prolonged exposure to noise had detrimental effects on the occupational health of the weavers. The subjective assessments showed the clear influence of lighting on the health and performance of the weavers. The subjective assessments showed a clear influence of workplace noise on the weavers' health and performance.

(refer Chapter - 4, Section - 4.1, Sub Section- 4.1.1, Table - 4.1 and Chapter - 4, Section  -  4.2,  Sub Section-  4.2.1,  Table  -  4.8)
(refer Chapter - 4, Section - 4.1, Sub Section- 4.1.1, Table - 4.1 and Chapter - 4, Section - 4.2, Sub Section- 4.2.1, Table - 4.8)

Gambar

Fig. 1.2  Shows the area of research gap (red arrow lines) where work is required to be  done (Mentioned references in the figure  are the recent publications related to  corresponding research area)
Fig. 2.1  Share  of  total  cloth  production  (in  percentage)  by  various  textile  sectors Source: Textile Commissioner Office, Mumbai (2016)
Fig. 2.3  Consumption of cloth in the world  ( Source: ITMF )
Fig. 2.4   State wise handloom workers households     (Source:  Handloom Census of India 2009-2010 )
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