Mining logistics systems: classification, identification, innovation
نویسندگان
چکیده
منابع مشابه
Temporal Pattern Mining in Logistics
Modern technologies like RFID, GPS, and wireless networks provide means for an automated tracking of goods, containers, and transportation vehicles. Collecting data about positions and movements of different actors and objects is a prerequisite for an automated analysis of ongoing logistic processes. As extensive information about objects and their relations is available, it is possible to appl...
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با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
Self-organizing logistics systems
When a logistics system is “self-organizing” it can function without significant intervention by managers, engineers, or software control. The social insects, such as ants or bees, provide models of self-organizing logistics systems that may be profitably emulated. We illustrate some of these ideas for the problem of balancing assembly lines.
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ژورنال
عنوان ژورنال: E3S Web of Conferences
سال: 2020
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202019203016