DESIGN FOR MANUFACTURE MATRIX FOR OLDER WOMEN SHOES - CASE STUDIES Cover Image

DESIGN FOR MANUFACTURE MATRIX FOR OLDER WOMEN SHOES - CASE STUDIES
DESIGN FOR MANUFACTURE MATRIX FOR OLDER WOMEN SHOES - CASE STUDIES

Author(s): Mariana Costea, Aura Mihai, Arina Seul
Subject(s): Social Sciences
Published by: Carol I National Defence University Publishing House
Keywords: parameters' relationships; performance requirements; elderly feet characteristics.

Summary/Abstract: The Design for Manufacture (DSM) method allows product development and presentation of several other alternatives in a comparative form (matrix). It gives also the opportunity for the product to be analysed and to produce a flexible method to optimize it, by significantly reducing the costs. The process analysis by DSM requires data collection through technical document inspection and interviews with shoe designers. This could be an iterative and time consuming process. A deeper understanding of the system, usually results in changing the relationships between parameters. However, once the initial model is produced, it will be the basis for future developments. The analysed data for DSM were more accurate and fast collected because of the 3D and 2D CAD software used. Based on designed models for elderly women, the initial set of system/ model’s parameters were identified. The system’s elements are not only physical components, but also performance requirements. The reason for including performance requirements in DSM matrix was to find their relationship with design parameters and to compare from this point of view, different model’s design and finally to improve it. The selected products are more difficult to be designed because of their destination and the elderly feet characteristics. The main objectives of this study were to: determine the relationships among design parameters of the shoes for the elderly; obtain the DSM matrix which will be the basis for developing an algorithm to reorder design steps by following the specific parametric restrictions. To achieve an optimal parametric order and to identify the transition process, a partitioning algorithm developed by Pektas, S.T. in 2003 was used.

  • Issue Year: 13/2017
  • Issue No: 01
  • Page Range: 402-407
  • Page Count: 6
  • Language: English