Now showing items 1-10 of 60636
A synthetic control chart for monitoring the process mean and variance
Purpose - The aim of this paper is to present a synthetic chart based on the non-central chi-square statistic that is operationally simpler and more effective than the joint X̄ and R chart in detecting assignable cause(s). ...
BIRTH AND DEATH PROCESSES AS PROJECTIONS OF HIGHER-DIMENSIONAL POISSON PROCESSES
(Applied Probability TrustSheffieldInglaterra, 1995)
A tutorial on signal energy and its applications
This tutorial, dedicated both to young professionals and students working with digital signal processing and pattern recognition, introduces three feature extraction approaches based on signal energy, characterising ...
Joint economic design of X̄ and R control charts for processes subject to two independent assignable causes
(Chapman Hall Ltd, 1993-11-01)
A model for the joint economic design of X̄ and R control charts is developed. This model assumes that the process is subject to two assignable causes. One assignable cause shifts the process mean; the other shifts the ...
From Idea to Market in RIPI: An Agile Frame for NTD Process
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
An Environment for Modeling and Managing the Process Design Process
A three-layer object based environment architecture (Client, Application Server and Server) to support the modeling and management of the process design process is presented. It guides the design process and explicitly ...
MDE-based process tailoring strategy
Defining organizational software processes is essential for enhancing maturity because they cannot be improved if they are not specified. However, software process definition is hard and still not good for assuring ...
MDE software process lines in small companies
Software organizations specify their software processes so that process knowledge can be systematically reused across projects. However, different projects may require different processes. Defining a separate process for ...
Time fluctuations of the random average process with parabolic initial conditions
(Elsevier Science BvAmsterdamHolanda, 2003)