Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Nusrat Hossain Zerin
The reverse logistics (RL) try to discover to assist the return of consumer supplies or its ingredient materials in the production phase. Nowadays reversed logistics has been achieved more attention in supply chain management. Political, economic, green image and social responsibility etc. influence firms to develop strategies to their current systems because, substitute uses of resources must be promoted that may be cost-effective and ecology friendly by extending products’ routine life cycles in the turbulent business environment. Reverse logistics activities i.e. storing, transporting and handling of used products poses a great challenge to reverse logistics managers as there is always chances of uncertainty in terms of quantity, quality and timing of return of end of life (EOL) products. This approach intends to investigate the going over dynamics of reversed logistics implementation based on survey opinion polls for Walton electronics industry by a real life case study. Fuzzy Analytic Hierarchy Process (FAHP) was selected for identify the vital gauges from different companies’ professionals of confirmation and electronics firms to do the related ecofriendly management work. The prirotization of each factor has been obtained. The overall weights and performance ranking of the evaluation criteria have been shown by the result of this study with respect to the reverse logistics implementation.
Nusrat Hossain Zerin. 2018. \u201cPrioritizing of Reverse Logistic Implementation Factor: A Case Study on Electronics Industries\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 18 (GJRE Volume 18 Issue G1): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Bangladesh
Subject: Global Journal of Research in Engineering - G: Industrial Engineering
Authors: Nusrat Hossain Zerin, Dewan Maisha Zaman (PhD/Dr. count: 0)
View Count (all-time): 185
Total Views (Real + Logic): 3112
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Publish Date: 2018 08, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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The reverse logistics (RL) try to discover to assist the return of consumer supplies or its ingredient materials in the production phase. Nowadays reversed logistics has been achieved more attention in supply chain management. Political, economic, green image and social responsibility etc. influence firms to develop strategies to their current systems because, substitute uses of resources must be promoted that may be cost-effective and ecology friendly by extending products’ routine life cycles in the turbulent business environment. Reverse logistics activities i.e. storing, transporting and handling of used products poses a great challenge to reverse logistics managers as there is always chances of uncertainty in terms of quantity, quality and timing of return of end of life (EOL) products. This approach intends to investigate the going over dynamics of reversed logistics implementation based on survey opinion polls for Walton electronics industry by a real life case study. Fuzzy Analytic Hierarchy Process (FAHP) was selected for identify the vital gauges from different companies’ professionals of confirmation and electronics firms to do the related ecofriendly management work. The prirotization of each factor has been obtained. The overall weights and performance ranking of the evaluation criteria have been shown by the result of this study with respect to the reverse logistics implementation.
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