drought is a gradual phenomenon and cause important changes in water resources, agriculture and so on. due to the stochastic behavior of factors that influence the occurrence and intense of drought, one can consider this phenomenon as a stochastic process. with respect to the importance of predicted drought severity and its vital influence in designing and operating water resources systems, thi...

The combination of uncertain demand and lead times for installing capacity creates the risk of shortage during the lead time, which may have serious consequences for a service provider with dependent customers. This paper analyzes a model of capacity expansion with correlated random demand and a fixed lead time for adding capacity. We develop and prove the form of an optimal policy for expansio...

We consider a two echelon supply chain: a single retailer holds a finished goods inventory to meet an i.i.d. customer demand, and a single manufacturer produces the retailer’s replenishment orders on a make-to-order basis. In this setting the retailer’s order decision has a direct impact on the manufacturer’s production. It is a well known phenomenon that inventory control policies at the retai...

Due-dates are often determined during sales negotiations between customers and the sales team of the firm. In the preliminary (pre-sale) stage, the customer provides a time interval (due-window) of his preferred due-dates. This interval reflects acceptable leadtimes, which are functions of the customer resource constraints (e.g. storage or personnel limitations). If the due-dates are assigned e...

We consider a supply chain in which orders and lead times are linked endogenously, as opposed to assuming lead times are exogenous. This assumption is relevant when a retailer’s orders are produced by a supplier with finite capacity and replenished when the order is completed. The retailer faces demands that are correlated over time – either positively or negatively – which may, for example, be...

The combination of uncertain demand and lead times for installing capacity creates the risk of shortage during the lead time, which may have serious consequences for a service provider with dependent customers. This paper analyzes a model of capacity expansion with autocorrelated random demand and a fixed lead time for adding capacity. To provide a specified level of service, a discrete time ex...

A lean manufacturing simulation model was created that replicated the existing assembly system as well as a potential system of similar capacity that modified the existing design to incorporate lean manufacturing shop-floor principles. Arena’s manufacturing simulation software generated performance statistics for both systems and measured each system’s resource requirements and performance in t...

Previously, we have put in a considerable amount of effort to separate, identify, and then classify pen gestures from any given ink trace on the digital board. Those heuristics have been proven sound and efficiently fast, but lags in coherence when it comes to administering seriously ambiguous cases when both the domains for sketches and gestures are merged. When earlier, we analysed data solel...

The combination of demand uncertainty and a lead time for adding capacity creates the risk of capacity shortage during the lead time. We formulate a model of capacity expansion for uncertain exponential demand growth and deterministic expansion lead times when there is an obligation to provide a specified level of service. The service level, defined in terms of the ratio of expected lead time s...

We study an inventory system that consists of two demand classes. The orders in the first class need to be satisfied immediately, whereas the orders in the second class are to be filled in a given demand lead–time. The two classes are also of different criticality. For this system, we propose a policy that rations the non–critical orders. Under a one-for-one replenishment policy with backorderi...