An EOQ lost sizing model with random supplier capacity

Article Abstract:

A lot sizing model is derived to analyze random supplier capacity under an economic order quantity (EOQ) framework. It is shown that the expected cost per unit of time is a unimodal function and pseudo-convex in the ordering quantity. The model is also illustrated via the uniform, exponential and truncated normal capacity distributions which showed that the percent cost penalties for using the EOQ lot size rather than the optimal one are 0.52%, 1.81% and 0.91% for the exponential and truncated normal capacity distributions, respectively. Extension of the model to allow the presence of defective units in the quantity received is discussed.

Economic lot size

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Explaining beer demand: a residual modeling regression approach using statistical process control

Article Abstract:

A medium-term and a short-term regression model for understanding and forecasting beer demand in Turkey is presented. A method based on statistical process control principles and techniques is suggested to identify nonrandom data points, discover common missing, lurking variables that explain these anomalies and combine these lurking variables into the model. The suggested method is confirmed on a number of test examples and on the medium-term beer demand model. The results are discussed.

Beer & Other Malt Beverages, Breweries, Malt beverages, Usage, Supply and demand, Turkey, Beer, Regression analysis, Statistical process control

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Transfer pricing of a service department facing random demand

Article Abstract:

A model is developed to study transfer pricing in a service department facing random demand. The model portrays the service department as an M/D/1 queueing system wherein inputs are the operating departments' requests for service which follow a Poisson process. Two algorithms are also derived to determine optimal transfer pricing. It is shown the net benefits provided by the two algorithms differ by no more than 3%.

Transfer pricing, Demand (Economics)

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