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Application of customer lifetime value model in make‐to‐order manufacturing

Oya I. Tukel (Cleveland State University, Cleveland, Ohio, USA)
Ashutosh Dixit (Cleveland State University, Cleveland, Ohio, USA)

Journal of Business & Industrial Marketing

ISSN: 0885-8624

Article publication date: 26 July 2013

1940

Abstract

Purpose

The applicability of the customer life time value (CLV) concept goes beyond consumer markets. Specifically, the purpose of this paper is to show how a make‐to‐order manufacturing company in a supply chain can set customer‐focus manufacturing strategies using CLV.

Design/methodology/approach

Data from an integrated steel plant is used to calculate the life time value of customers based on the past value, the potential value, and their loyalty. The past value of a customer is based on the historical data and the future value of a customer is then forecasted. The loyalty index of a customer is determined by survey results.

Findings

In general, it was found that the CLV for the most valuable customers increases exponentially and the top 28 percent of customers constitute 80 percent of the total value of all customers.

Research limitations/implications

This study focuses on make‐to‐order manufacturing organizations and the three strategies suggested for business process improvement need to be re‐evaluated for make‐to‐stock or mass production.

Practical implications

Based on these results, the authors suggest three strategies for business process improvement and revenue growth for the plant.

Originality/value

This study constitutes an initial effort to develop a CLV model for make‐to‐order manufacturing organizations for improving plant performance. The model links customers with not only the front office functions but also with ERP systems. Organizations that are part of value chains can benefit significantly from CLV applications.

Keywords

Citation

Tukel, O.I. and Dixit, A. (2013), "Application of customer lifetime value model in make‐to‐order manufacturing", Journal of Business & Industrial Marketing, Vol. 28 No. 6, pp. 468-474. https://doi.org/10.1108/JBIM-04-2013-0099

Publisher

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Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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