Statistical process control and quality of service at seaports
by Íñigo L. Ansorena
International Journal of Productivity and Quality Management (IJPQM), Vol. 24, No. 2, 2018

Abstract: This paper focuses on statistical process control as a strategic tool for the improvement of service at seaports. The aim of this paper is to examine the variable Time of container ships at port. A methodology based on the exponentially weighted moving average (EWMA) statistic is proposed in order to monitor each container vessel that arrives at the Port of Valencia. The EWMA chart is a time-weighted control chart that plots the exponentially weighted moving averages of a process. In the future, this model can be used by terminal managers of Valencia Port to implement better control techniques and thus improve the quality of service. Moreover, the methodological procedure presented in this paper is general enough to be applied by any other port as well.

Online publication date: Wed, 09-May-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Productivity and Quality Management (IJPQM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com