Next Article in Journal
Effects of Anticipation in Individually Motivated Behaviour on Survival and Control in a Multi-Agent Scenario with Resource Constraints
Previous Article in Journal
A Novel Block-Based Scheme for Arithmetic Coding
Article Menu

Export Article

Open AccessArticle
Entropy 2014, 16(6), 3329-3356; doi:10.3390/e16063329

Speeding up Derivative Configuration from Product Platforms

ETSI Informatica, Universidad Nacional de Educacion a Distancia, Juan del Rosal 16, 28040 Madrid,Spain
Department of Electrical, Electronic and Control Engineering, Universidad de Castilla La Mancha, Ronda de Calatrava 5, 13071 Ciudad Real, Spain
Author to whom correspondence should be addressed.
Received: 16 January 2014 / Revised: 27 May 2014 / Accepted: 9 June 2014 / Published: 18 June 2014
View Full-Text   |   Download PDF [618 KB, uploaded 24 February 2015]   |  


To compete in the global marketplace, manufacturers try to differentiate their products by focusing on individual customer needs. Fulfilling this goal requires that companies shift from mass production to mass customization. Under this approach, a generic architecture, named product platform, is designed to support the derivation of customized products through a configuration process that determines which components the product comprises. When a customer configures a derivative, typically not every combination of available components is valid. To guarantee that all dependencies and incompatibilities among the derivative constituent components are satisfied, automated configurators are used. Flexible product platforms provide a big number of interrelated components, and so, the configuration of all, but trivial, derivatives involves considerable effort to select which components the derivative should include. Our approach alleviates that effort by speeding up the derivative configuration using a heuristic based on the information theory concept of entropy.
Keywords: entropy-based heuristic; mass customization; product configuration; software product line; feature model entropy-based heuristic; mass customization; product configuration; software product line; feature model

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Heradio, R.; Fernandez-Amoros, D.; Perez-Morago, H.; Adan, A. Speeding up Derivative Configuration from Product Platforms. Entropy 2014, 16, 3329-3356.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top