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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | ANALYSE THE KEY FACTORS OF FABRIC UTILIZATION IN THE APPAREL SECTOR |
| Authors Name: | K.A.C.Sampath , Dr. M.J. Renuka Perera |
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IJNRD_209691
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| Published Paper Id: | IJNRD2311349 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | Abstract: The apparel industry heavily relies on fabric, a significant contributor to production costs. This study explores better Fabric Utilization, waste reduction, and the industry's economic, technological, and sustainability challenges. Material waste poses financial burdens, while outdated equipment, software, and validation processes hinder progress. Manufacturers are investing in technology to optimize material usage due to the sector's annual production of 92 million tons of textile waste. Stakeholders are introducing initiatives, highlighting the need for careful assessment. The study focuses on ABC Company, a prominent player in Sri Lanka's Apparel Sector, examining the critical issue of efficient Fabric Utilization. Key elements explored include Marker Efficiency Enhancement (MEE), Automated Cutter Machinery (ACM), and Wastage Factor Revalidation (WFR). Following a pilot test confirming the reliability and validity of measured variables with Cronbach's Alpha. The research instrument of self-administered questionnaire was distributed among 110 respondents out of 154 population comprises at ABC Company. Data were analysed using SPSS software, revealing a significant, robust positive correlation among all variables (MEE = 0.771, ACM = 0.799, WFR = 0.776) at a significance level of 0.000, indicating a strong positive relationship. All the variables were significant under the Regression results 0.153, 0.437, and 0.447. ACM emerged as the most influential variable, with a beta factor of 0.418, and the developed model explained 72.5% of the dependent variable's variance (R2 = 0.725). Future research endeavours could further explore the remaining 27.5% of factors affecting the dependent variable. This study's significance extends beyond ABC Company, benefiting the broader apparel industry, fostering sustainability, operational excellence, and enhanced learning, thus bridging industry demands with consumer preferences and contributing to academic progress. For future research, consider exploring diverse organizations, conducting long-term studies, incorporating qualitative methods, and investigating external factors to enhance understanding of Fabric Utilization in the apparel industry. |
| Keywords: | Apparel Sector, Fabric Utilization, Marker Efficiency Enhancement, Automated Cutter Machinery, Wastage Factor Revalidation |
| Cite Article: | "ANALYSE THE KEY FACTORS OF FABRIC UTILIZATION IN THE APPAREL SECTOR", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d448-d469, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311349.pdf |
| Downloads: | 000118758 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2311349 Registration ID: 209691 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: d448-d469 Country: Gampaha, Gampaha, Sri Lanka Research Area: Textile Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311349 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311349 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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