Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment
In a multiple-customer-class model of demand fulfillment for a single item, we consider the use of dynamic price discounts to encourage backlogging of demand for customer classes denied immediate service. Customers are assumed to arrive over several stages in a period, and customer classes are disti...
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2006
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sg-smu-ink.lkcsb_research-13282018-07-09T06:24:05Z Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment DING, Qing Kouvelis, Panos Milner, Joseph M. In a multiple-customer-class model of demand fulfillment for a single item, we consider the use of dynamic price discounts to encourage backlogging of demand for customer classes denied immediate service. Customers are assumed to arrive over several stages in a period, and customer classes are distinguished by their contractual price and sensitivity to discounts. Through dynamic programming we determine the optimal discounts to offer, assuming a linear model for the sensitivity of customers to such inducements. We show that customers are served in class order, and allocation of inventory to demand is determined by considering the current number of customers backlogged, as well as the current inventory position. Through comparison to a naive supplier allocating inventory first come/first served with no discounting, we show that profits are primarily influenced by the allocation of capacity, and the use of price discounts primarily benefits the second-class customers' overall fill rate. Heuristics for implementation of the solution in real-time settings are given. [PUBLICATION ABSTRACT] 2006-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/329 info:doi/10.1287/opre.1060.0248 https://ink.library.smu.edu.sg/context/lkcsb_research/article/1328/viewcontent/OR_Dynamic_paper.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business Administration, Management, and Operations |
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Business Administration, Management, and Operations DING, Qing Kouvelis, Panos Milner, Joseph M. Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment |
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In a multiple-customer-class model of demand fulfillment for a single item, we consider the use of dynamic price discounts to encourage backlogging of demand for customer classes denied immediate service. Customers are assumed to arrive over several stages in a period, and customer classes are distinguished by their contractual price and sensitivity to discounts. Through dynamic programming we determine the optimal discounts to offer, assuming a linear model for the sensitivity of customers to such inducements. We show that customers are served in class order, and allocation of inventory to demand is determined by considering the current number of customers backlogged, as well as the current inventory position. Through comparison to a naive supplier allocating inventory first come/first served with no discounting, we show that profits are primarily influenced by the allocation of capacity, and the use of price discounts primarily benefits the second-class customers' overall fill rate. Heuristics for implementation of the solution in real-time settings are given. [PUBLICATION ABSTRACT] |
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text |
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DING, Qing Kouvelis, Panos Milner, Joseph M. |
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DING, Qing Kouvelis, Panos Milner, Joseph M. |
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DING, Qing |
title |
Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment |
title_short |
Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment |
title_full |
Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment |
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Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment |
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Dynamic Pricing through Discounts for Optimizing Multiple Class Demand Fulfillment |
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dynamic pricing through discounts for optimizing multiple class demand fulfillment |
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Institutional Knowledge at Singapore Management University |
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2006 |
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https://ink.library.smu.edu.sg/lkcsb_research/329 https://ink.library.smu.edu.sg/context/lkcsb_research/article/1328/viewcontent/OR_Dynamic_paper.pdf |
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