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Supply Chain Management (SCM) is now an important strategy for companies to gain competitiveness. However, the cost is still the key factor to face. This paper proposes a novel approach to create an optimal logistic plan in SCM with failures such that the required total capacity for logistics is minimum while the reliability retains the highest. Since the globalized economics changes very fast, the...
Product design optimization under model or input variable uncertainty is commonly required, in which robustness and reliability are two important attributes of the design. In structure design, it is critical to maintain the design feasibility (or reliability); while at the same time, to counter manufacturing variations, robust design is employed in order to obtain high product quality. It is necessary,...
Mechanical components design is subjected to uncertainties in material and geometrical properties, loads and other variables. For reliability optimization design with uncertain parameters, based on the non-probabilistic reliability theory, robust design and optimal design method, the uncertain parameters of mechanical components are expressed by non-probabilistic interval variables, and a non-probabilistic...
Traditional Reliability Engineering lacks powerful methods and tools on earlier development stages; it takes less effect on product conception definition and system design. There are also some tough problems for applying Traditional Reliability approaches on civil products, such as how to develop high reliable products with Commercial, off-the-shelf (COTS) components? How to greatly reduce the time...
There are a lot of uncertain factors in the gearbox transmission system of wind turbine. In this paper the controllable factors and uncontrollable factors in gearbox transmission system were analyzed; combining the optimization design theory and robust design theory the robust mathematical model of transmission system was established. In the model we take volume of gearbox as objective function and...
An approach which combines PERT and CPM in one model to solve project scheduling problems, is introduced. Due to the stochastic nature of activity time and cost for PERT and CPM networks, robust design for project scheduling via statistical method is introduced in the presented approach. The statistical method, such as response surface methodology (RSM), is used to develop a rationale of the time-cost...
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