Renewable energy sources introduce uncertainty regarding generated power in smart grids. For instance, power that is generated by wind turbines is time-varying and dependent on the weather. Electric vehicles will become increasingly important in the development of smart grids with a high penetration of renewables, because their flexibility makes it possible to charge their batteries when renewa...

We study a capacity sizing problem in a service system that is modeled as a single-class queue with multiple servers and where customers may renege while waiting for service. A salient feature of the model is that the mean arrival rate of work is random (in practice this is a typical consequence of forecasting errors). The paper elucidates the impact of uncertainty on the nature of capacity pre...

The customers ’preference is derived from reflection on a product or special commercial brand, and factors such as positive appraisal of a brand performance and holding advantages and being unique, establishes the preference. This study aimed to develop a model of female customers' preferences in selecting banks and to train senior managers and banking staff. It had an applied objective, adopte...

We study a special type of technology evolution, referred to in the literature as disruptive technology vs. sustaining technology. In general, “old” products based on sustaining technology are perceived to be superior to the “new” ones based on disruptive technology. However, the latter have distinctive features that allow them to attract an exclusive set of customers. Examples include laser pr...

AbsfracfData mining has a lot of e-Commerce applications. The key problem is how to tind useful hidden patterns for better business applications. For these problems, granular fuzzy Web intelligence techniques are used to implement the granular fuzzy Web data mining system for available historical data of the credit company customers. Fuzzy computing and granular computing are used to design the...

Based on uncertainty theory, a twostage supply chain model is presented, where the customers’ demands are characterized as uncertain variables. The objective is to minimize the combined costs incurred in the manufacturing and logistics phases. When these uncertain variables are linear, the objective function and constraints can be converted into crisp equivalents, then can be solved by traditio...

As a manager, no one needs to remind you that we live in a global economy that constantly bombards us with change and complexity. Every year, new technologies, markets, and competitors emerge at an everincreasing pace. As change accelerates, so do novelty and uncertainty. Future threats and opportunities become harder to predict. We also live in an increasingly complex, interconnected world, wh...

Adopting a mass customization strategy, enterprises often enable customers to specify their individual product wishes by using web based configurator tools. With such tools, customers can interactively and virtually create their own instance of a product. However, customers are not usually supported in a comprehensive way during the configuration process, thus facing problems such as complexity...