The role of data mining in fishery supply chain management
محل انتشار: چهاردهمین کنفرانس بین المللی مهندسی صنایع
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 552
فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
IIEC14_045
تاریخ نمایه سازی: 26 مرداد 1397
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
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