Many studies and reports support the significant impact of the application of group technology on various aspects of product design and manufacturing. The fact that group tech­nology is the common solution to similar problems is the main source of such impact. In this paper, one of the less frequent­ly utilized features of GNG technology known as parametric part programming is used to implement...

strategic programming, complex supply chain, lean, production programming, suppliers selection,   electre this paper represents a model of strategic programming with limited resources in a complex supply chain. the main goal of the proposed model is to increase efficiency and effectiveness of the supply chain with respect to income increases and cost decreases. using special objective functions...

In this paper we introduce a visual approach to functional programming with PLaSM, a design language used for geometric programming and the parametric generation of CAD models. A visual diagram is generated according to very few simple rules, and may be used both for automatically generating the corresponding PLaSM code and for the specification and distribution of computer tasks to be concurre...

delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. in this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several produ...

data envelopment analysis (dea) is a method to evaluate the relative efficiency of decision making units (dmus). in this method, the issue has always been to determine a set of weights for each dmu which often caused many problems. since the dea models also have the multi-objective linear programming (molp) problems nature, a rational relationship can be established between molp and dea problem...

this paper uses integrated data envelopment analysis (dea) models to rank all extreme and non-extreme efficient decision making units (dmus) and then applies integrated dea ranking method as a criterion to modify genetic algorithm (ga) for finding pareto optimal solutions of a multi objective programming (mop) problem. the researchers have used ranking method as a shortcut way to modify ga to d...

Constrained optimal control problem of unmanned aerial vehicle (UAV) which is also called aerial robotics is studied in this paper. The nonlinear system of small unmanned helicopter with bounded disturbance is abstracted and modeled by PWA hybrid systems model. As the complexity on-line computation for a class of large hybrid systems, an explicit optimal controller for hybrid systems based on m...

Explicit piecewise linear state feedback solutions to the constrained linear model predictive control problem has recently been characterized and computed numerically using multiparametric quadratic programming. The piecewise linear state feedback is defined on a polyhedral partitioning of the state space, which may be quite complex. Here we suggest an approximate multi-parametric quadratic pro...