Dynamic Pricing for Multiple Class Deterministic Demand Fufillment

We consider how a firm should allocate inventory to multiple customer classes that differ based on the price they pay and their willingness to incur delay in fulfillment of their demand. The problem is set in a deterministic demand, economic-order-quantity-like environment with holding, backorder, l...

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Main Authors: DING, Qing, Kouvelis, Panos, Milner, Joseph M.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2007
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/969
https://doi.org/10.1080/07408170601091881
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spelling sg-smu-ink.lkcsb_research-19682010-09-23T06:24:04Z Dynamic Pricing for Multiple Class Deterministic Demand Fufillment DING, Qing Kouvelis, Panos Milner, Joseph M. We consider how a firm should allocate inventory to multiple customer classes that differ based on the price they pay and their willingness to incur delay in fulfillment of their demand. The problem is set in a deterministic demand, economic-order-quantity-like environment with holding, backorder, lost demand and setup costs. The firm either fulfills demand or offers a price discount to induce the demand to wait for fulfillment from the next reorder. We determine the optimal policy and discuss how changes in various parameters affect profitability, customer service, and operational measures such as order frequency and base stock levels. We compare the results to a policy that only rations inventory without dynamic discounting and to a policy that only provides discounts. Through the comparison, we observe that dynamic pricing can be seen as a combination of a pricing mechanism which determines demand and an allocation mechanism that differentiates between customer classes, serving each ones needs. We show that if lower-value customers are distinguished by accepting reduced service, it is possible that both high and low-value customer classes see better levels of service under the optimal policy than under a discounting only policy. In addition we demonstrate the applicability of the results to a stochastic version of the problem 2007-01-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/969 info:doi/10.1080/07408170601091881 https://doi.org/10.1080/07408170601091881 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Inventory allocation discounting multiple class economic order quantity Business Administration, Management, and Operations
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Inventory allocation
discounting
multiple class
economic order quantity
Business Administration, Management, and Operations
spellingShingle Inventory allocation
discounting
multiple class
economic order quantity
Business Administration, Management, and Operations
DING, Qing
Kouvelis, Panos
Milner, Joseph M.
Dynamic Pricing for Multiple Class Deterministic Demand Fufillment
description We consider how a firm should allocate inventory to multiple customer classes that differ based on the price they pay and their willingness to incur delay in fulfillment of their demand. The problem is set in a deterministic demand, economic-order-quantity-like environment with holding, backorder, lost demand and setup costs. The firm either fulfills demand or offers a price discount to induce the demand to wait for fulfillment from the next reorder. We determine the optimal policy and discuss how changes in various parameters affect profitability, customer service, and operational measures such as order frequency and base stock levels. We compare the results to a policy that only rations inventory without dynamic discounting and to a policy that only provides discounts. Through the comparison, we observe that dynamic pricing can be seen as a combination of a pricing mechanism which determines demand and an allocation mechanism that differentiates between customer classes, serving each ones needs. We show that if lower-value customers are distinguished by accepting reduced service, it is possible that both high and low-value customer classes see better levels of service under the optimal policy than under a discounting only policy. In addition we demonstrate the applicability of the results to a stochastic version of the problem
format text
author DING, Qing
Kouvelis, Panos
Milner, Joseph M.
author_facet DING, Qing
Kouvelis, Panos
Milner, Joseph M.
author_sort DING, Qing
title Dynamic Pricing for Multiple Class Deterministic Demand Fufillment
title_short Dynamic Pricing for Multiple Class Deterministic Demand Fufillment
title_full Dynamic Pricing for Multiple Class Deterministic Demand Fufillment
title_fullStr Dynamic Pricing for Multiple Class Deterministic Demand Fufillment
title_full_unstemmed Dynamic Pricing for Multiple Class Deterministic Demand Fufillment
title_sort dynamic pricing for multiple class deterministic demand fufillment
publisher Institutional Knowledge at Singapore Management University
publishDate 2007
url https://ink.library.smu.edu.sg/lkcsb_research/969
https://doi.org/10.1080/07408170601091881
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