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Faculty of Engineering, Built Environment and Information Technology
School of Engineering
Department of Industrial and Systems Engineering
Selected Highlights from Research Findings
The modeling and analysis of inventory systems influenced by supply and demand processes were undertaken with special reference to service facilities and negative customers. In most inventory models the demanded item is immediately issued to the customer. But there are cases in which the item needs some service in the form of installation or preparation, before it is delivered to the customers. Thus there is positive time between the demand occurrence point and the delivery time. In these types of situations the quantity of interest would be the number of waiting customers apart from the mean inventory level. By incorporating `negative’ demand ie the demand of a negative customer in inventory systems which have a service facility, we can model the scenario. It may be noted that the negative customer may be a tout of a competitive organization. We carried out simulation studies to get more insight into understanding the solution of these systems. By imposing a suitable cost structure, we are exploring optimality analysis of the total expected cost rate of carrying out the inventory. This would benefit the inventory managers and enable them to implement various control policies. Statistical Process Control charts are used to monitor product quality and to detect special events that may be indicators of out-of-control situations. Positive autocorrelation in observations can result in severe negative bias in traditional estimators of the standard deviation. This second research project investigated the use of control charts for simultaneously monitoring the process mean and variation and succeded in using a single chart in the presence of autocorrelation.
Contact person: Prof VSS Yadavalli.
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