doi: 10.7763/IJIET.2015.V5.521
Selection of the Most Suitable Statistical Process Control Approach for Short Production Runs: A Decision-Model
Pedro A. Marques1
,
Carlos B. Cardeira2 ,
Paula Paranhos3 ,
Sousa Ribeiro4 ,
Helena Gouveia5
- 1Department of Strategy and Special Projects, ISQ – Instituto de Soldadura e Qualidade, Av. Prof. Dr. Cavaco Silva, 33, Taguspark, 2740-120 Porto Salvo, Portugal
- 2Department of Mechanical Engineering (IDMEC), Instituto Superior Técnico (IST), University of Lisbon, 1049-001 Lisboa, Portugal
- 3IDEPA – Ind. Passamanarias, Lda., Av. 1. de Maio, 71, 3700-227 S. João Madeira, Portugal
- 4SisTrade – Software Consulting, R. Manuel Pinto de Azevedo, 64B, 4100-320 Porto, Portugal
- 5Lab I&D, ISQ – Instituto de Soldadura e Qualidade, Av. Prof. Dr. Cavaco Silva, 33, Taguspark, 2740-120 Porto Salvo, Portugal
Abstract
Nowadays, customers are increasingly claiming not only for better quality products at the lowest possible cost, but also demanding customized solutions to satisfy their specific, sometimes unique, needs and wants. Due to this, manufacturing companies are seeking to adopt higher agile production models, such as mass customization strategies. In the quality control field, statistical process control (SPC) methods have been widely used to monitor process performance and detect abnormal situations in its behavior; however, traditional SPC approaches are usually not appropriate for small lot or batch sizes, for the start-up of a process, and for situations where a high variety of mixed products exist. Such situations are within the scope of the so called short production runs. Several SPC schemes have been proposed for short-run environments; all of them have their own advantages, shortcomings, and more suitable for certain production scenarios. This paper provides an up-to-date literature review on the topic, identifies classes of SPC short-run methods, and presents a decision-model that guides production managers in the choice of the most appropriate SPC short-run approach. The model was validated in a textile production company, and is being incorporated into a software package.
Keywords
- Decision-model
- short-run
- statistical process control (SPC)
How to Cite
Pedro A. Marques, Carlos B. Cardeira, Paula Paranhos, Sousa Ribeiro, and Helena Gouveia, "Selection of the Most Suitable Statistical Process Control Approach for Short Production Runs: A Decision-Model," International Journal of Information and Education Technology, vol. 5, no. 4, pp. 303-310, 2015. https://doi.org/10.7763/IJIET.2015.V5.521
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).