Modeling of Non-linear Relations among Different Design and Manufacturing Evaluation Measures for Multiobjective Optimal Concurrent Design

Abstract

This research introduces a new approach to model the non-linear relations among different design and manufacturing evaluation measures for multiobjective optimal concurrent design. In this approach, different design and manufacturing evaluation measures are mapped to comparable evaluation indices. The non-linear relation between an evaluation measure and its evaluation index is identified based on the least-square curve-fitting method. The weighting factors for different design and manufacturing evaluation indices, representing the importance measures of these indices in the multiobjective design optimization, are achieved using the pair-wise comparison method. An example case study of automobile caliper disc brake design considering 3 design evaluation measures and 1 manufacturing evaluation measure is given to illustrate the effectiveness of the introduced approach.

A multi-population co-evolutionary genetic programming approach for optimal mass customisation production

“…Because these seven evaluation measures could not be compared directly, they were converted into seven comparable evaluation indices, as shown in Table 2, based on the method developed by Yang, Xue, and Tu (2006).…”

Parametric design with neural network relationships and fuzzy relationships considering uncertainties

“…V ¼ E À h act;a À h act;c À h con;a À h con;c À ri (22) where E is the open circuit Nernst potential, h act,a and h act,c are the activation polarization losses at the anode and cathode, respectively, h con,a and h con,c are the concentration polarization losses at the anode and cathode, respectively, r is the area-specific ohmic resistance, and i is the average current density.…”

“…Four evaluation measures are considered in this case study: (1) the maximum net power output of the system, P net,max ; (2) the average working efficiency, h; (3) the material cost of cell per kilowatt, C m ; and (4) the fuel utilization, U f [22].…”

“…(22), the open circuit Nernst potential, E, and the area-specific ohmic resistance, r, are usually calculated by deterministic mathematical relationships given in Eqs. (23) and (28).…”

“…A hybrid parameter relationship network is built using the relationships in all artifacts. The Optimization Browser is used to define design variables, evaluation measures, mapping from evaluation measures to comparable evaluation indices following the method introduced in [22], and weighting factors of these evaluation indices for the optimization problem. The optimization result and its uncertainty are also achieved using this browser.…”