Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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A case study of a Bangladeshi steel industry is reported that is dealing with some aspects of reverse logistics operation in their organization for instance Bangladesh steel re-rolling mill (BSRM), Chittagong. In this paper, a transportation model is proposed to reduce the extent of internal steel scrap transportation based on real transport network. To validate these model linear optimization model (TORA) is used. This paper basically incorporates the characteristics of in-plant steel scrap transportation which means the most important factors are transported quantity, distance, variable cost and fixed cost. Five sources where scrap generated is found in the case study. In the proposed transportation model, Two collection sites are used, one collection site for two sources of scrap and the other sources is the direct transport of collected steel scrap from each individual to reprocessing units whereas the existing transport network shown two collection sites, one collected scrap source 1 and the other is used to collect scrap from the remaining sources. A methodology is also developed to accurately compute CO emission to evaluate the environmental performance depending on the transport distance and quantity. The developed method has shown that environmental performance of propose model is improved.
Syimun Hasan Mehidi. 2014. \u201cIntegration of Reverse Logistics Network into an in- Plant Recycling Process: A Case Study of Steel Industry\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 14 (GJRE Volume 14 Issue G5): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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A case study of a Bangladeshi steel industry is reported that is dealing with some aspects of reverse logistics operation in their organization for instance Bangladesh steel re-rolling mill (BSRM), Chittagong. In this paper, a transportation model is proposed to reduce the extent of internal steel scrap transportation based on real transport network. To validate these model linear optimization model (TORA) is used. This paper basically incorporates the characteristics of in-plant steel scrap transportation which means the most important factors are transported quantity, distance, variable cost and fixed cost. Five sources where scrap generated is found in the case study. In the proposed transportation model, Two collection sites are used, one collection site for two sources of scrap and the other sources is the direct transport of collected steel scrap from each individual to reprocessing units whereas the existing transport network shown two collection sites, one collected scrap source 1 and the other is used to collect scrap from the remaining sources. A methodology is also developed to accurately compute CO emission to evaluate the environmental performance depending on the transport distance and quantity. The developed method has shown that environmental performance of propose model is improved.
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