FlexRay is getting popular among car makers to be used as a communication backbone for in-vehicle networking systems. It serves both time-triggered as well as event-triggered applications by maintaining static and dynamic segments in its communication cycle. There are many works on the scheduling of the signals that are motivated by different vehicular applications. In this survey the focus is ...

Multistage stochastic programming deals with operational and planning problems that involve a sequence of decisions over time while responding to an uncertain future. Algorithms designed address multistage linear (MSLP) often rely upon scenario trees represent the underlying process. When this process exhibits stagewise independence, sampling-based techniques, particularly dual dynamic algorith...

Optimum utilization of limited resources in the production floor demands that the production manager makes decisions on the best allocation of limited resources. This study applied linear programming techniques to production planning problem in a feed mill producing company. Linear Programming model was formulated based on data obtained from the company operations’ diary. Data was processed wit...

This paper gives an algorithm for L-shaped linear programs which arise naturally in optimal control problems with state constraints and stochastic linear programs (which can be represented in this form with an infinite number of linear constraints). The first section describes a cutting hyperplane algorithm which is shown to be equivalent to a partial decomposition algorithm of the dual program...

generally, an engineering design problem has multiple objective functions. some of these problems can be formulated as multiobjective geometric programming models. on the other hand,often in the real world, coefficients of the objective functions are not known precisely. coefficients may be interpreted as fuzzy numbers, which lead to a multiobjective geometric programming with fuzzy parameters....