A method for customer lifetime value ranking — Combining the analytic hierarchy process and clustering analysis

Factors Influencing Prioritization of Hospital Services for Outsourcing: A Fuzzy Analytic Hierarchy Process Ranking Model

Background and Objectives: Prioritizing the services to be outsourced is a crucial challenge toward efficient outsourcing of health services. In spite of fruitful efforts in improving the outsourcing process, there still remains room and need for developing more systematic approaches. The present paper introduces a novel multi-criteria decision making model based on the fuzzy a...

CUSTOMER CLUSTERING BASED ON FACTORS OF CUSTOMER LIFETIME VALUE WITH DATA MINING TECHNIQUE

Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...

Customer Lifetime Value Models: A literature Survey

Abstract Customer Lifetime Value (CLV) is known as an important concept in marketing and management of organizations to increase the captured profitability. Total value that a customer produces during his/her lifetime is named customer lifetime value. The generated value can be calculated through different methods. Each method considers different parameters. Due to the industry, firm, business...

Comprehensive Multi-Criteria Comparison and Ranking of Natural Gas Liquefaction Process by Analytic Hierarchy Process (AHP)

Several processes have been proposed for natural gas liquefaction due to the vast utilization of LNG as a reliable and relatively easy to use fuel. Even though the merits and demerits of different process have been studied, a dearth of comprehensive technical and economical comparative investigation of these methods makes further broad examination a necessity. This article is presented to addre...

Customer satisfaction evaluation method for customized product development using Entropy weight and Analytic Hierarchy Process