A multi-phase model for product part change problems
- 17 March 2008
- journal article
- research article
- Published by Taylor & Francis in International Journal of Production Research
- Vol. 46 (10), 2797-2825
- https://doi.org/10.1080/00207540600999144
Abstract
The parts of a product may be changed over the product life cycle for the purpose of enhancing profits, that is to say, product part change has a direct impact on production efficiency and customer satisfaction. The analysis of product part change can provide producers with related components/part suppliers by analysing the product's configuration. Before performing the physical assembly of a specific product, selected part suppliers are connected and have to verify their ability to assemble. This paper proposes an assessment model consisting of three major phases: (1) analysis of the assembly relationship among the parts; (2) preliminary selection of the appropriate parts and their suppliers; and (3) solution selection for supplier association. The proposed model solves the product part change problem for a given related quality level, operation and cost data. The liaison graph, fuzzy theory and value engineering approaches are employed in phases 1 and 2 to analyse the product's configuration and assembly relationships, to deal with production data and to carry out the preliminary analysis. To solve the solution selection model of phase 3, a genetic algorithm based heuristic approach was developed. Finally, the configuration of the stand module of TFT-LCD is used as an example to demonstrate the application and working of the proposed approach. The results of the illustrated example are used to demonstrate its efficiency and effectiveness in solving the part change problem.Keywords
This publication has 33 references indexed in Scilit:
- Fuzzy multi-criteria selection of object-oriented simulation software for production system analysisComputers & Operations Research, 2005
- A framework of collaborative design environment for injection moldingComputers in Industry, 2002
- A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural networkComputers in Industry, 2002
- Systems Design Framework for the Extended EnterpriseProduction Planning & Control, 1999
- Ranking of enterprises based on multicriterial analysisInternational Journal of Production Economics, 1998
- A parametric representation of fuzzy numbers and their arithmetic operatorsFuzzy Sets and Systems, 1997
- Selection of vendors — A mixed-integer programming approachComputers & Industrial Engineering, 1996
- PROBLEM COSTINGQuality Engineering, 1994
- A multiple objective selection methodology for strategic industry selection analysisIEEE Transactions on Engineering Management, 1991
- FUZZY RELATIONS IN A CONTROL SETTINGKybernetes, 1978