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Gimpl-Heersink L, Rudloff C, Fleischmann M, Taudes A (2008). Integrating Pricing and Inventory Control: Is it Worth the Effort?. BuR - Business Research, Vol. 1, Iss. 1, pp. 106-123, URN: urn:nbn:de:0009-20-13953

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%0 Journal Article
%T Integrating Pricing and Inventory Control: Is it Worth the Effort?
%A Gimpl-Heersink, Lisa
%A Rudloff, Christian
%A Fleischmann, Moritz
%A Taudes, Alfred
%J BuR - Business Research
%D 2008
%V 1
%N 1
%@ 1866-8658
%F gimpl-heersink2008
%X In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results forthis more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model and the properties of this new model are better understood.
%L 330
%K Inventory Management
%K Pricing
%K Reference Price
%K Stochastic Demand Model
%U http://nbn-resolving.de/urn:nbn:de:0009-20-13953
%P 106-123

Bibtex

@Article{gimpl-heersink2008,
  author = 	"Gimpl-Heersink, Lisa
		and Rudloff, Christian
		and Fleischmann, Moritz
		and Taudes, Alfred",
  title = 	"Integrating Pricing and Inventory Control: Is it Worth the Effort?",
  journal = 	"BuR - Business Research",
  year = 	"2008",
  volume = 	"1",
  number = 	"1",
  pages = 	"106--123",
  keywords = 	"Inventory Management",
  keywords = 	"Pricing",
  keywords = 	"Reference Price",
  keywords = 	"Stochastic Demand Model",
  abstract = 	"In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results forthis more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model and the properties of this new model are better understood.",
  issn = 	"1866-8658",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-20-13953"
}

RIS

TY  - JOUR
AU  - Gimpl-Heersink, Lisa
AU  - Rudloff, Christian
AU  - Fleischmann, Moritz
AU  - Taudes, Alfred
PY  - 2008//
TI  - Integrating Pricing and Inventory Control: Is it Worth the Effort?
JO  - BuR - Business Research
SP  - 106
EP  - 123
VL  - 1
IS  - 1
KW  - Inventory Management
KW  - Pricing
KW  - Reference Price
KW  - Stochastic Demand Model
N2  - In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results forthis more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model and the properties of this new model are better understood.
SN  - 1866-8658
UR  - http://nbn-resolving.de/urn:nbn:de:0009-20-13953
ID  - gimpl-heersink2008
ER  - 

Wordbib

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<b:Comments>In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results forthis more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model and the properties of this new model are better understood.</b:Comments>
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ISI

PT Journal
AU Gimpl-Heersink, L
   Rudloff, C
   Fleischmann, M
   Taudes, A
TI Integrating Pricing and Inventory Control: Is it Worth the Effort?
SO BuR - Business Research
PY 2008
BP 106
EP 123
VL 1
IS 1
DE Inventory Management; Pricing; Reference Price; Stochastic Demand Model
AB In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results forthis more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model and the properties of this new model are better understood.
ER

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  <abstract>In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand functions the benefits of integration with inventory control are substantially increased due to the price dynamics. We also provide some analytical results for
this more complex model. We thus conclude that integrated pricing/inventory models could repeat the success of revenue management in practice if reference price effects are included in the demand model and the properties of this new model are better understood.</abstract>
  <subject>
    <topic>Inventory Management</topic>
    <topic>Pricing</topic>
    <topic>Reference Price</topic>
    <topic>Stochastic Demand Model</topic>
  </subject>
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</mods>

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Issues 2008
Volume 1 | Issue 2 | December 2008
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Volume 1 | Issue 1 | May 2008
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