Background and Objectives: Efficient cost management in hospitals’ pharmaceutical inventories have the potential to remarkably contribute to optimization of overall hospital expenditures. To this end, reliable forecasting models for accurate prediction of future pharmaceutical demands are instrumental. While the linear methods are frequently used for forecasting purposes chiefly due to their si...

Context: Effort adjustment is an essential part of analogy-based effort estimation, used to tune and adapt nearest analogies in order to produce more accurate estimations. Currently, there are plenty of adjustment methods proposed in literature, but there is no consensus on which method produces more accurate estimates and under which settings. Objective: This paper investigates the potential o...

A computer model is built to simulate master production scheduling activities in a capacitated multi-item production system under demand uncertainty and a rolling time horizon. The output from the simulation is analyzed through statistical software. The results of the study show that forecasting errors have significant impacts on total cost, schedule instability and system service level, and th...

The transmission line project cost index, which reflects price changes of transmission line project components affecting project cost, is an integrated indicator. Based on the constitution of the transmission line project cost index, 324 transmission line project cost index during 2002 and 2010 were selected, in order to describe variation tendency of the transmission line project cost index in...

Accurate forecasting of demand under uncertain environment is one of the vital tasks for improving supply chain activities because order amplification or bullwhip effect (BWE) and net stock amplification (NSAmp) are directly related to the way the demand is forecasted. Improper demand forecasting results in increase in total supply chain cost including shortage cost and backorder cost. However,...

This paper will describe the ongoing research work which is aimed at producing a cost forecasting and planning model most representative of the building in Malaysia. Due to the limitation of data and time, the model is targeted for a particular type of building. Its techniques can however be expanded to other types of buildings. Data was collected from the two-storey residential building projec...

Load forecasting is important for safe and cost-effective operation of recent power utilities. It helps in taking many decisions regarding energy purchasing and generation, maintenance, etc. Further, load forecasting provides information which is able to be used for energy interchange with other utilities. Over the years, a number of methods have been proposed for load forecasting. This paper f...

Recently a new approach was introduced in lightning protection incorporating the use of forecasting tools and preventive actions into one lightning protection system, the preventive lightning protection. The key feature of this protection system is that the hazard forecasting methods are planned according to the available preventive actions. The appropriate use of forecasting is very important ...

Short Term Load Forecasting (STLF) is a power system operating procedures that have an important role in terms of realizing the economic electric production. This research focuses on the application of hybrid PSO-ANN algorithm in STLF. Load data grouped by the type of weekdays and holidays. Consumption of electricity load in West Java Indonesia, used as input to the learning algorithm PSO-ANN. ...