Competing in product and service: a product life-cycle model
Management Science - Special issue on frontier research in manufacturing and logistics
Fuzzy data mining for interesting generalized association rules
Fuzzy Sets and Systems - Theme: Learning and modeling
Comprehensive data warehouse exploration with qualified association-rule mining
Decision Support Systems
Expert Systems with Applications: An International Journal
Elicitation of fuzzy association rules from positive and negative examples
Fuzzy Sets and Systems
Mining association rules with improved semantics in medical databases
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Manufacturing corporations aim to sell their goods while they try to keep a sound customer relationship by providing high quality after-sales service (A/S). This is because while such services have always been important in marketing and sales industries, they are currently gaining importance in the manufacturing industry as well. Therefore, it is important to identify the needs of different customer groups and to provide respective A/S for each group accordingly. In this study, we propose a framework that consists of fuzzy clustering and an association rule to identify customer groups and their needs. We first carried out fuzzy clustering of customers in terms of indicators of CSI (customer satisfaction index). Next, the association rule is used to grasp the kind of A/S that customers consider important. Our results identified three groups of customers and their needs: Group 1 represents those who have a high degree of satisfaction, loyalty and high number of complaints. This group considers the home visiting service most important. Despite the fact that the Group 1 has high degree of complaint occurrence, they show a high degree of loyalty. Group 2 has very high degree of satisfaction and loyalty with a low level of complaints. This group considers important the A/S factors in all of service sections, including at the call center, the home visiting service, and claim handling. Group 3 has average satisfaction, number of complaints, and loyalty. Group 3 customers put weight on A/S factors dealing with the call center and the home visiting service. We expect that manufacturing firms can strengthen CRM (customer relationship management) by offering tailored A/S for each group accordingly.