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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Contemporary business organizations highly depend on outsourcing for success in today’s competitive marketplace and selecting a suitable supplier is essential for developing new products. To ensure effective upstream management, supplier selection plays a key role in supply chain management. Nowadays to keep pace with the global competition, organizations tend to build a long-term relationship with the vendors. As a result, the direct and the indirect consequences of poor decision-making become more severe. There are a lot of methods to determine the best matched supplier for a particular product. In this study, at first, we have calculated the weighted values through MCDM process (Using AHP) for the different product for different vendors. Then we have proposed a vendor selection model using Integer Linear Programming (ILP) Model for multiproduct, multi-vendor environment. The research is intended to build up a generic model to be utilized in different scenarios in the decision making process according to the company’s own preference. We check the validity of the model with a case study for managing the best suppliers for knit fabrics of a renowned textile industry of Bangladesh.
Md. Sazol Ahmmed. 2018. \u201cSupplier Selection using Integer Linear Programming Model\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 18 (GJRE Volume 18 Issue J4): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Neural Networks and Rules-based Systems used to Find Rational and
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Contemporary business organizations highly depend on outsourcing for success in today’s competitive marketplace and selecting a suitable supplier is essential for developing new products. To ensure effective upstream management, supplier selection plays a key role in supply chain management. Nowadays to keep pace with the global competition, organizations tend to build a long-term relationship with the vendors. As a result, the direct and the indirect consequences of poor decision-making become more severe. There are a lot of methods to determine the best matched supplier for a particular product. In this study, at first, we have calculated the weighted values through MCDM process (Using AHP) for the different product for different vendors. Then we have proposed a vendor selection model using Integer Linear Programming (ILP) Model for multiproduct, multi-vendor environment. The research is intended to build up a generic model to be utilized in different scenarios in the decision making process according to the company’s own preference. We check the validity of the model with a case study for managing the best suppliers for knit fabrics of a renowned textile industry of Bangladesh.
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