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Now showing items 11-20 of 29
Comparison of forecasting techniques in revenue management for a national railway in an emerging Asian economy
(Inderscience Enterprises Ltd., 2015)
In this paper, we make an attempt to compare various forecasting techniques to predict railway bookings for the final day of departure in the national railways of emerging Asian economy (NREAE). We use NREAE data of 2005-2008 ...
Artificial neural network models for forecasting stock price index in the Bombay stock exchange
(2006-10-29)
ANN has been shown to be an efficient tool for non-parametric modeling of data in a variety of different contests where the output is a non-linear function of the inputs. These include business forecasting, credit scoring, ...
A logarithmic goal programming approach to develop the utility function for a railway travel
(International Journal of Revenue Management, 2015)
Railway passengers are in a dilemma to choose the best train among several alternatives available in a particular route. A relative comparison of competing railways helps the passenger to make an informed choice before the ...
Lessons of success in OR/MS practice gained from experience in Indian and US steel plants
(2000-10-15)
I worked on modeling integrated steel plants in India (as an
analyst) and in the USA (as a doctoral student). The following
factors influence the success of OR/MS practice: positioning
the OR/MS team in operations, ...
An expanded database structure for a class of multi-period, stochastic mathematical programming models for process industries
(Elsevier, 2014)
We introduce a multiple scenario, multiple period, optimization-based decision support system (DSS) for strategic planning in a process industry. The DSS is based on a two stage stochastic linear program (SLP) with recourse ...
A logarithmic goal programming approach to develop the utility function for a railway travel
(Inderscience Enterprises Ltd., 2015)
Railway passengers are in a dilemma to choose the best train among several alternatives available in a particular route. A relative comparison of competing railways helps the passenger to make an informed choice before the ...
An optimization based decision support system for strategic and operational planning with in-process industries: case of pharmaceuticals industry in India
(2007-10-29)
We describe how a generic multi-period optimization-based decision support system (DSS) can be used for
strategic planning in process industries. The DSS is built on five fundamental elements—materials, facilities,
activities, ...
Mathematical modeling for demurrage reduction in coal transportation for an Indian thermal power plant
(Springer, 2004)
Competitive pressures on power plants have seen them attempting to reduce their
operating expenses for profitable operations. In India, the plants use wagons of the
Indian Railways to transport coal from the mines (in ...
New decision support system for strategic planning in process industries: computational results
(Elsevier, 2018-10)
The impact of a Stochastic Linear Programming (SLP) based Decision Support System in a manufacturing company, such as an integrated aluminum plant, is measured by two important parameters, the VSS and EVPI. With the real ...
A two-part dynamic pricing policy for household electricity consumption scheduling with minimized expenditure
(Elsevier, 2018-02-22)
In this paper we propose an optimization model for scheduling electrical appliances for an individual household. Here, customers are offered dynamic prices which are a function of that household’s planned consumption and ...