Data Consumption Analysis by Two Ordinal Multivariate Control Charts
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The process quality is described by one or more important factors called multivariate processes. Contingency tables used to demonstrate the relevance between these factors and modeled by log-linear model. There are also two types of statistical variables that are nominal and ordinal. In this paper, the variables are ordinal and two new control charts have been used to monitor the process of analyzing subscribers' consumption. These two multivariate ordinal chart are the MR chart and the multivariate ordinal categorical (MOC) used to monitor processes based on the ordinal log-linear model in Phase II. In addition, with a real numerical example, about analyzing the internet usage of mobile subscribers, two control charts are drawn and compared with each other in terms of average run length. In this case, we focus on customer behavior and in real action, by marketing department, changing in data consumption has been seen and analyzed. The study of the two proposed charts was performed using simulation based on real example in different situation, and the MOC performed relatively better.
Keywords:
Language:
English
Published:
International Journal of Engineering, Volume:35 Issue: 11, Nov 2022
Pages:
2196 to 2204
https://www.magiran.com/p2497656
سامانه نویسندگان
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شدهاست. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)
-
Joint Condition-Based Maintenance and Condition-Based Production Optimization in Production System with Finite Planning Horizon and Predetermined Demand
Pourya Mohammadipour, *, Hasan Rasay
Journal of Industrial Engineering Research in Production Systems, Winter and Spring 2025 -
Joint production and maintenance optimization for a single-machine deteriorating system in a finite planning horizon
Parviz Rahimi Kakehjoob, *, Hasan Rasay
Journal of Industrial Engineering and Management Studies, Summer-Autumn 2024 -
PROGRESSIVE MEAN CONTROL CHARTS FOR PHASE II MONITORING OF MULTIVARIATE SIMPLE LINEAR PROFILES
A. Sotoudeh, A.H. Amiri *, M.R. Maleki, S. Jamshidi
Industrial Engineering & Management Sharif, -
Enhancing Fault Detection in Image Analysis: A Combined Wavelet-Fourier Technique for Advancing Manufacturing Quality Control
Z. Khodadadi, M. S. Owlia *, A. Amiri
International Journal of Engineering, Feb 2024