Monitoring delivery chains using multivariate control charts |
| |
| Authors: | Alireza Faraz,Cé dric Heuchenne,Erwin Saniga,Earnest Foster |
| |
| Affiliation: | 1. HEC Management School, University of Liège, Liège 4000, Belgium;2. Department of Business Administration, University of Delaware, Newark, DE 19716, USA;3. Industrial Engineering Department, University of Washington, Seattle, USA |
| |
| Abstract: | Delivery chains are concerned with the delivery of goods and services to customers within a specific time interval; this time constraint is added to the usual consumer demand for product or service quality. In this context, we address the idea of using process control tools to monitor this key variable of delivery time. In applications, there are usually several production and delivery sites and a variety of different ways to transport, treat and provide goods and services; that makes the problem multivariate in nature. We therefore propose to control the process using multivariate T2 control charts economically designed with the addition of statistical constraints, a design method called economic-statistical design. We illustrate the application in general through an illustrative example. |
| |
| Keywords: | Transportation Supply chain management Quality control Multivariate control charts Economic statistical design and genetic algorithms |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
