... at the various reliability values is denoted as the β-Pareto set. We study the relations between the deterministic Pareto set and the β-Pareto set and then develop a method to systematically determine the exact β-Pareto set of bi-objective linear programming problems. The method is also extended to predict the β...

... to “mine” the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. This paper presents a method for making those decisions. The concept of a transition matrix is integrated with mixed integer linear programming to determine the extent...

...Jeongwoo Han; Panos Y. Papalambros Analytical target cascading (ATC) is a multidisciplinary design optimization method for multilevel hierarchical systems. To improve computational efficiency, especially for problems under uncertainty or with strong monotonicity, a sequential linear programming...

... evaluations is reduced considerably while the solution accuracy depends on the degree of monotonicity and nonlinearity. 24 11 2008 20 11 2009 14 01 2010 14 01 2010 linear programming normal distribution Optimal system design of complex products often encompasses several...

... higher experience level and evaluation skill level. 22 11 2006 23 02 2007 CAD production engineering computing data envelopment analysis product design product development display devices linear programming In a typical product development process, a product model...

... rather than accuracy and the global convergence behavior of the solution. A new strategy utilizing an adaptive sequential linear programming (SLP) algorithm is proposed as a promising approach to balance accuracy, efficiency, and convergence. The strategy transforms the nonlinear probabilistic...

... inequality constraints, similarly to the deterministic case. Such a strategy is presented as part of a sequential linear programming algorithm along with numerical examples. 15 09 2005 05 01 2006 05 09 2005 11 09 2005 design engineering linear programming probability...

... + : [ a 1 + , ... , a m + ] is dominated by D T : [ a 1 T , ... , a m T ] . This linear programming (LP) problem is simple to solve by any LP solver (e.g., “linprog” from the MATLAB ® optimization toolbox). In this formulation, w i T...

... designer’s cognitive burden, and lead to accurate and consistent preference representation. Salient features of this approach include a linear programming based dynamic preference learning method and a logical analysis of preference inconsistencies. The development of this method and its utilization...