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 ...

Stochastic integer programming is more complicated than stochastic linear programming, as will be explained for the case of the two-stage stochastic programming model. A survey of the results accomplished in this recent field of research is given.

An interactive heuristic approach can offer a practical solution to the problem of linear integer programming (LIP) by combining an optimization technique with the Decision Maker’s (DM) judgment and technical supervision. This is made possible using the concept of bicriterion linear programming (BLP) problem in an integer environment. This model proposes two bicriterion linear programs for iden...

Selecting an MCDM method to use in any decision-making problem is always a difficult issue regarding that there no agreement generally on which the most appropriate one. This paper addressed proposal of hybrid approach for this problem. Under assumption superiority among well-established and accepted methods, we defined maximin strategy based fact lowest correlation between MCDMs proposed terms...

Production planning is a necessary process that directly affects the efficiency of production systems in most industries. The complexity current problem depends on increased options production, uncertainties demand and resources. In this study, stochastic multi-objective mixed-integer optimization model developed to ensure uncertainty conditions satisfy requirements sustainable development. sys...

Nowadays, there is a great deal of attention for regulations of carbon emissions to enforce the decision-makers of production and distribution networks to redesign their systems satisfactorily. The literature has seen a rapid interest in developing novel metaheuristics to solve this problem as a complicated optimization problem. Such difficulties motivate us to address a production-distribution...