Analysis of assembly through product configuration
Computers in Industry
A framework of collaborative design environment for injection molding
Computers in Industry
Expert Systems with Applications: An International Journal
Application of BPN with feature-based models on cost estimation of plastic injection products
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A three-phase integrated model for product configuration change problems
Expert Systems with Applications: An International Journal
Cooperator selection and industry assignment in supply chain network with line balancing technology
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A hybrid approach for supplier cluster analysis
Computers & Mathematics with Applications
A weighted additive fuzzy programming approach for multi-criteria supplier selection
Expert Systems with Applications: An International Journal
Supplier selection and performance evaluation in just-in-time production environments
Expert Systems with Applications: An International Journal
International Journal of Bio-Inspired Computation
A two-phase algorithm for product part change utilizing AHP and PSO
Expert Systems with Applications: An International Journal
Green supply chain management with linguistic preferences and incomplete information
Applied Soft Computing
Multi-objective decision-making methodology to create an optimal design chain partner combination
Computers and Industrial Engineering
Close-loop or open hierarchical structures in green supply chain management under uncertainty
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Configuration change management provides a way for a manufacturer to become more competitive. Because of the short life and the large variety involved in commercial products, they must be configured accordingly. It is a task for the configuration change management. This paper presents an integrated model for modeling the change behavior of product parts, and for evaluating alternative suppliers for each part by applying fuzzy theory, T transformation technology, and genetic algorithms. The proposed model is based on the concepts of part change requirements, fuzzy performance indicators, and the integration of different attributes, to allow the part supplier selection of a specific commercial product to be explored and modeled. The application of this approach is illustrated through a case study of a TFT-LCD product for part change optimization. In terms of change performance, experimental analyses with different genetic parameters allowed the potential alternative suppliers for the product parts to be evaluated. The results of the experimental analyses show that this proposed methodology is a suitable approach and provides a quality solution for products with a complex configuration. In addition, the numerical results obtained from the new approach were compared with the results obtained by linear programming. The result shows that the proposed algorithm is reliable and robust.