کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
552869 | 873287 | 2009 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A decision support system for detecting products missing from the shelf based on heuristic rules
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The problem of products missing from the shelf is a major one in the grocery retail sector, as it leads to lost sales and decreased consumer loyalty. Yet, the possibilities for detecting and measuring an “out-of-shelf” situation are limited. In this paper we suggest the employment of machine-learning techniques in order to develop a rule-based Decision Support System for automatically detecting products that are not on the shelf based on sales and other data. Results up-to-now suggest that rules related with the detection of “out-of-shelf” products are characterized by acceptable levels of predictive accuracy and problem coverage.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Decision Support Systems - Volume 46, Issue 3, February 2009, Pages 685–694
Journal: Decision Support Systems - Volume 46, Issue 3, February 2009, Pages 685–694
نویسندگان
Dimitrios Papakiriakopoulos, Katerina Pramatari, Georgios Doukidis,