We report on a real-time demand response experiment with 100 controllable devices. The reveals several key challenges in the deployment of program, including time delays, uncertainties, characterization errors, multiple timescales, and nonlinearity, which have been largely ignored previous studies. To resolve these practical issues, we develop implement two-level multi-loop control structure in...

Reduced Differental Transform Method (RDTM), which is one of the useful and effective numerical method, is applied to solve nonlinear time-dependent Foam Drainage Equation (FDE) with different initial conditions. We compare our method with the famous Adomian Decomposition and Laplace Decomposition Methods. The obtained results demonstrated that RDTM is a powerful tool for solving nonlinear part...

Business Process Management Systems (BPMS) is a complex information system that provides designing, administrating, and improving the business processes. Task allocation to human resources is one of the most important issues which should be managed more efficiently in BPMS. Task allocation algorithms are defined in order to meet the various policies of organizations. The most important of these...

In the classical inventory it is assumed that all the costs associated with the inventory system remains constant over time. Since most decision makers think that the inflation does not have significant influence on the inventory policy and most of the inventory models developed so far does not include inflation and time value of money as parameters of the system. But due to large scale of infl...

An inventory model for two warehouses with different deterioration rates is developed. Demand is considered as linear function of time. Holding cost is time dependent. Shortages are allowed and completely backlogged. To support the model numerical case is given. Affectability investigation is likewise done for parameters.

We consider a firm that faces random demand and receives product from a single supplier who faces random supply. The supplier’s availability may be affected by events such as storms, strikes, machine breakdowns, and congestion due to orders from its other customers. In our model, we consider a dynamic environment: the probability of disruption, as well as the demand intensity, can be time depen...

This paper investigates the implications of an intertemporally dependent demand structure in the market for an exhaustible resource. The demand structure is derived endogenously in a partial equilibrium model where price-taking users combine the resource with capital to produce final output. It is shown that, when demand for the resource is modelled explicitly as a derived demand, the common as...

We study a manufacturing firm that builds a product to stock to meet a random demand. Production time is deterministic, so that if there is a backlog, customers are quoted a firm lead time that is proportional to the backlog. In order to represent the customers’ response to waiting, we introduce a new defection function — the probability that a customer chooses not to order as a function of the...