In this paper, a mathematical programming model is presented for integrated problem of closed loop supply chain network design and supplier selection. The suppliers  propose discount policy based on purchase amount and loyalty of buyers which are both taken from the elements of RFM (Recency, Frequency and Monetary) technique. The main objective of this paper which is formulated by a mixed-integ...

This research focuses on how to build a segmentation model for credit customers identify the potential defaulting based their transaction history. Currently, there is no available this possibility of payment failure. Credit scoring helps in minimizing risk when applying credit. However, using RFM (Recency, Frequency, Monetary) models score each variable customer's financial activity. K-means th...

Funding pressures amidst the slow economic recovery from the late-2000's recession have forced universities, as well as other not-for-profit organizations, to increase the volume and sophistication of their direct marketing activities. The efficiency of direct marketing strategies is linked to an organization's ability to effectively target individuals. In this paper, we present a finite-mixtur...

The reduction in government support and the rapid growth number of nonprofit organizations have made them face fierce competition for charitable donations. Identifying valuable donors developing effective marketing strategies can contribute to online donation platforms. This study explored donors' characteristics Taiwan through identification different donor segments using a refined clustering ...

The COVID-19 has brought us unprecedented difficulties and thousands of companies have closed down. general public responded to call the government stay at home. Offline retail stores been severely affected. Therefore, in order transform a traditional offline sales model B2C improve shopping experience, this study aims utilize historical data for exploring, building prediction recommendation mo...

The service area and the wide distribution of customers often require quite a long time in terms handling disturbances, which can reduce level customer trust loyalty to using network services provided. Customer segmentation by region help make it easier analyze disruptions that occur zoning so be maintained. This research was conducted understand characteristics disturbances several areas. In t...

Sequential pattern mining is an extension of association rule mining that discovers time-related behaviors in sequence database. It extends association by adding time to the transactions. The problem of finding association rules concern with intratransaction patterns whereas that of sequential pattern mining concerns with inter-transaction patterns. Generalized Sequential Pattern (GSP) mining a...