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title

The role of data mining in fishery supply chain management

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 120
Year: 2017
COI code: IIEC14_045
Paper Language: English

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Authors The role of data mining in fishery supply chain management

  Mahnaz Fekri Sari - Faculty of Computer and Information Technology Engineering , Qazvin Branch ,Islamic Azad University ,Qazvin , Iran
  Omid Sojoodishijani - Faculty of Computer and Information Technology Engineering , Qazvin Branch ,Islamic Azad University ,Qazvin , Iran

Abstract:

Fisheries supply chain is a network of members and activities including fish, shrimp and seashell culturing and harvesting, production of sea foods and products and distributing them among stores, restaurants and consumers. The main objectives of the supply chain include increased production of high-quality products within the lowest possible time, cost reduction and customer satisfaction. Therefore, the supply chain members should manage demand-supply chain via technology to preserve their share in current markets while penetrating in new markets. Data mining techniques as strong evaluation and prediction tools are technological aids improving and promoting the supply chain efficiency. In this review we consider Data mining applications in Fisheries supply chain as well as some new areas that could be practice using Data mining methods.

Keywords:

Fishery supply chain management, Data Mining, Shrimp supply chain management

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COI code: IIEC14_045

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Fekri Sari, Mahnaz & Omid Sojoodishijani, 2017, The role of data mining in fishery supply chain management, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_045.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Fekri Sari, Mahnaz & Omid Sojoodishijani, 2017)
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The University/Research Center Information:
Type: Azad University
Paper No.: 9233
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