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Published byWinifred Fisher Modified over 9 years ago
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Matching Supply with Demand: An Introduction to Operations Management Gérard Cachon ChristianTerwiesch All slides in this file are copyrighted by Gerard Cachon and Christian Terwiesch. Any instructor that adopts Matching Supply with Demand: An Introduction to Operations Management as a required text for their course is free to use and modify these slides as desired. All others must obtain explicit written permission from the authors to use these slides.
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O’Neill’s Hammer 3/2 wetsuit
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Hammer 3/2 timeline and economics
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Oneill data
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Oneill data
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Forecasts vs actual graph
Forecasts and actual demand for surf wet-suits from the previous season
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Empirical distribution function for the Hammer 3/2 using historical A/F ratios
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A portion of the Standard Normal Distribution Function Table, F(z).
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Empirical vs normal demand distribution
Empirical distribution function (diamonds) and normal distribution function with mean 3192 and standard deviation 1181 (solid line)
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Balancing the risk and benefit of ordering a unit
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Hammer 3/2's expected loss sales table if the empirical distribution is the demand forecast
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Performance measures relationship
Expected demand, m Fill rate If Normal demand, s Expected sales Loss function table Expected lost sales Order quantity, Q, and, if Normal demand, z = (Q – m)/s Exp. left over inventory Expected profit In-stock probability Distribution function table Stockout probability Price, cost, salvage value
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Service measures of performance
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Pareto curve
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