EOQ estimation for imperfect quality items using association rule mining with clustering
Timely identification of newly emerging trends is needed in business process. Data mining techniques like clustering, association rule mining, classification, etc. are very important for business support and decision making. This paper presents a method for redesigning the ordering policy by includi...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2015-09-01
|
| Series: | Decision Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/dsl/Vol4/dsl_2015_26.pdf |