Over the past three decades, silicon MOS-based integrated circuits, such as microprocessors, have consistently delivered greater functionality at higher performance and lower cost per function. An empirical observation called Moore’s Law [1] is commonly quoted to highlight the exponential rates of increase in circuit speed and integration density as MOS transistors have scaled down in channel l...

This study proposes an EOQ inventory mathematical model for deteriorating items with exponentially decreasing demand. In the model, the shortages are allowed and partially backordered. The backlogging rate is variable and dependent on the waiting time for the next replenishment. Further, we show that the minimized objective cost function is jointly convex and derive the optimal solution. A nume...

Simple exponential smoothing is widely used in forecasting economic time series. This is because it is quick to compute and it generally delivers accurate forecasts. On the other hand, its multivariate version has received little attention due to the complications arising with the estimation. Indeed, standard multivariate maximum likelihood methods are affected by numerical convergence issues a...

The growth in demand for data analysis may be attributed in large part to the exponential increase in computing power and data collection capabilities. At the same time, there is a worrisome tendency for quantitative investigators or technical staff to attack problems using blunt instruments and naive attitudes. Our discipline as a whole has been gloriously productive, making available a wide v...

This article analyzes a supply chain management system (SCM), with two echelons. We consider a perishable inventory with Poisson demand, exponential life time and positive lead time at distribution center (DC) and retailer. Partial backlogging at retailer node is assumed with limited quantity. (s, S) policy at retailer and (M-1, M) policy at DC are assumed to get a tractable analytic solution. ...

We study a continuous review inventory model over a nite-planning horizon with deterministic varying demand and constant deterioration rate. The model allows for shortages, which are partially backlogged at a rate which varies exponentially with time. For this model an optimal replenishment policy is established. c © 2000 Elsevier Science B.V. All rights reserved.

In the present day scenario of globalization, the concept of supply chain management (SCM) has gained significance as one of the 21 century manufacturing paradigms for improving organizational competitiveness. In this context, a two level supply chain model is developed considering a single manufacturer and single retailer. The main objective of this research is to demonstrate the optimality of...

We formulate a model of capacity expansion that is relevant to a service provider for whom the cost of capacity shortages would be considerable but difficult to quantify exactly. Due to demand uncertainty and a lead time for adding capacity, not all shortages are avoidable. In addition, technological innovations will reduce the cost of adding capacity but may not be completely predictable. Anal...

Three estimation policies for the optimal order quantity of the classical newsvendor model under exponential demand are evaluated in the current paper. According to the principle of the first estimation policy, the corresponding estimator is obtained replacing in the theoretical formula which gives the optimal order quantity the parameter of exponential distribution with its maximum likelihood ...

Abnormal motivation and hedonic assessment of aversive stimuli are symptoms of anxiety and depression. Symptoms influenced by motivation and anhedonia predict treatment success or resistance. Therefore, a translational approach to the study of negatively motivated behaviors is needed. We describe a novel use of behavioral economics demand curve analysis to investigate negative reinforcement in ...