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Inventory rationing and sharing in pre-sell distribution with mobile communication technologies. / Pishchulov, Grigory; Richter, Knut.

In: International Journal of Production Economics, Vol. 121, No. 2, 01.10.2009, p. 584-600.

Research output: Contribution to journal › Article › peer-review

Harvard

Pishchulov, G & Richter, K 2009, 'Inventory rationing and sharing in pre-sell distribution with mobile communication technologies', International Journal of Production Economics, vol. 121, no. 2, pp. 584-600. https://doi.org/10.1016/j.ijpe.2007.02.039

APA

Pishchulov, G., & Richter, K. (2009). Inventory rationing and sharing in pre-sell distribution with mobile communication technologies. International Journal of Production Economics, 121(2), 584-600. https://doi.org/10.1016/j.ijpe.2007.02.039

Vancouver

Pishchulov G, Richter K. Inventory rationing and sharing in pre-sell distribution with mobile communication technologies. International Journal of Production Economics. 2009 Oct 1;121(2):584-600. https://doi.org/10.1016/j.ijpe.2007.02.039

Author

Pishchulov, Grigory ; Richter, Knut. / Inventory rationing and sharing in pre-sell distribution with mobile communication technologies. In: International Journal of Production Economics. 2009 ; Vol. 121, No. 2. pp. 584-600.

BibTeX

@article{130bf72ca37a4d09a18c32fe6a54c742,
title = "Inventory rationing and sharing in pre-sell distribution with mobile communication technologies",
abstract = "In pre-sell distribution, the uncertain customer demands are revealed by the company's sales representatives who visit the customers and arrange delivery quantities on the spot, prior to physical execution of deliveries. Given a periodic base-stock of a distributed product, we consider allocation of the product to the customers in two different settings: with and without utilization of mobile communication technologies. There are two performance measures considered: the customer-average fill rate, and the sales profit under service level constraints. The mobile setting is shown to enable a generally better system-wide performance, featuring the capability of inventory pooling. To observe the magnitude of this advantage we determine the optimal allocation policies by means of stochastic dynamic programming. Computational examples for selected configurations and demand distributions are presented.",
keywords = "Inventory pooling, Inventory rationing, Mobile communication technologies, Pre-sell, Stochastic programming",
author = "Grigory Pishchulov and Knut Richter",
year = "2009",
month = oct,
day = "1",
doi = "10.1016/j.ijpe.2007.02.039",
language = "English",
volume = "121",
pages = "584--600",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Inventory rationing and sharing in pre-sell distribution with mobile communication technologies

AU - Pishchulov, Grigory

AU - Richter, Knut

PY - 2009/10/1

Y1 - 2009/10/1

N2 - In pre-sell distribution, the uncertain customer demands are revealed by the company's sales representatives who visit the customers and arrange delivery quantities on the spot, prior to physical execution of deliveries. Given a periodic base-stock of a distributed product, we consider allocation of the product to the customers in two different settings: with and without utilization of mobile communication technologies. There are two performance measures considered: the customer-average fill rate, and the sales profit under service level constraints. The mobile setting is shown to enable a generally better system-wide performance, featuring the capability of inventory pooling. To observe the magnitude of this advantage we determine the optimal allocation policies by means of stochastic dynamic programming. Computational examples for selected configurations and demand distributions are presented.

AB - In pre-sell distribution, the uncertain customer demands are revealed by the company's sales representatives who visit the customers and arrange delivery quantities on the spot, prior to physical execution of deliveries. Given a periodic base-stock of a distributed product, we consider allocation of the product to the customers in two different settings: with and without utilization of mobile communication technologies. There are two performance measures considered: the customer-average fill rate, and the sales profit under service level constraints. The mobile setting is shown to enable a generally better system-wide performance, featuring the capability of inventory pooling. To observe the magnitude of this advantage we determine the optimal allocation policies by means of stochastic dynamic programming. Computational examples for selected configurations and demand distributions are presented.

KW - Inventory pooling

KW - Inventory rationing

KW - Mobile communication technologies

KW - Pre-sell

KW - Stochastic programming

UR - http://www.scopus.com/inward/record.url?scp=70349226769&partnerID=8YFLogxK

U2 - 10.1016/j.ijpe.2007.02.039

DO - 10.1016/j.ijpe.2007.02.039

M3 - Article

VL - 121

SP - 584

EP - 600

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

IS - 2

ER -

ID: 5384578