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)
No sugar factory can extract cent percent sugar content from sugarcane. A small amount of sugar content goes as normal process loss. If any sugar unit maintains its normal losses within the allowable normal losses, such sugar mills are considered as highly efficient mills. The rate of normal loss indicates the degree of efficiency of men and machines in sugar mills. It is noticed that there is a loss of sugar at all stages right from harvesting to final product, which is a serious economic problem of sugar industry. The sugar losses in the sugarcane have been classified into: (I) Known Losses or Determined Losses consist of (a) Bagasse loss; (b) Filter cake loss; and (c) Molasses loss; and (II) Unknown Losses or Undetermined Losses, which cannot be determined directly but as ascertained from the difference between sugarcane and sugar accounted for. Here, exercise is made by researcher to identify and explore the opportunities and potential of cost savings by improvements in Technical Performance Parameters of Sugar Mills of Gujarat State with comparison to that of Maharashtra State.
" Energy Management in Sugar Industry – A Comparative study of Technical Performance of Sugar Mills of Gujarat & Maharashtra States", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.d127-d134, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212313.pdf
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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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