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- Publications
- Influence

Monitoring the Coefficient of Variation Using a Variable Sampling Interval Control Chart

- P. Castagliola, A. Achouri, H. Taleb, G. Celano, S. Psarakis
- Computer Science
- Qual. Reliab. Eng. Int.
- 1 December 2013

The coefficient of variation (CV) is a quality characteristic that has several applications in applied statistics and is receiving increasing attention in quality control. Few papers have proposed… Expand

Monitoring the Coefficient of Variation Using EWMA Charts

- P. Castagliola, G. Celano, S. Psarakis
- Mathematics
- 1 July 2011

The coefficient of variation (CV) is a quality characteristic that has several applications in applied statistics and is receiving increasing attention in quality control. A few papers have proposed… Expand

Monitoring the Coefficient of Variation Using Control Charts with Run Rules

- P. Castagliola, A. Achouri, H. Taleb, G. Celano, S. Psarakis
- Mathematics
- 1 January 2013

Abstract Monitoring the coefficient of variation (CV) is a successful approach to Statistical Process Control when the process mean and standard deviation are not constant. In recent years the CV has… Expand

A new efficient encoding/decoding procedure for the design of a supply chain network with genetic algorithms

- Antonio Costa, Giovanni Celano, Sergio Fichera, Enrico Trovato
- Chemistry, Computer Science
- Comput. Ind. Eng.
- 1 November 2010

Supply chain network (SCN) design is a strategic issue which aims at selecting the best combination of a set of facilities to achieve an efficient and effective management of the supply chain. This… Expand

THE EXACT RUN LENGTH DISTRIBUTION AND DESIGN OF THE S2 CHART WHEN THE IN-CONTROL VARIANCE IS ESTIMATED

- P. Castagliola, G. Celano, G. Chen
- Mathematics
- 1 February 2009

When monitoring the process variability, it is a common practice that a Phase I data set is used to estimate the unknown in-control process standard deviation σ0 or variance to set up the control… Expand

An Evolutionary Algorithm for Pure Fuzzy Flowshop Scheduling Problems

- G. Celano, Antonio Costa, S. Fichera
- Computer Science, Mathematics
- Int. J. Uncertain. Fuzziness Knowl. Based Syst.
- 1 December 2003

The pure flowshop scheduling problem is here investigated from a perspective considering me uncertainty associated with the execution of shop floor activities. Being the flowshop problem is NP… Expand

Multiobjective economic design of an X control chart

- G. Celano, S. Fichera
- Engineering
- 1 October 1999

The prevention of defective products is a fundamental principle of total quality management and control charts are a powerful statistical tool to reach this objective, but they are expensive and may… Expand

Robust design of adaptive control charts for manual manufacturing/inspection workstations

- G. Celano
- Mathematics
- 1 February 2009

Often the manufacturing and the inspection workstations in a manufacturing process can coincide: thus, in these workstations the statistical process control (SPC) procedure of collecting sample… Expand

Monitoring the coefficient of variation using a variable sample size control chart

- P. Castagliola, A. Achouri, H. Taleb, G. Celano, S. Psarakis
- Mathematics
- 23 April 2015

This paper proposes an adaptive Shewhart control chart implementing a variable sample size strategy in order to monitor the coefficient of variation. The goals of this paper are as follows: (a) to… Expand

Economic design of Shewhart control charts for monitoring autocorrelated data with skip sampling strategies

- Bruno Chaves Franco, G. Celano, P. Castagliola, A. Costa
- Economics
- 1 May 2014

On-line monitoring of process variability is strategic to achieve high standards of quality and maintain at acceptable levels the number of nonconforming items. Shewhart control charts are the… Expand