A robust pricing/lot-sizing model and a solution method based on geometric programming

Sungmook Lim; Woo Je Kim

doi:10.1109/INDIN.2008.4618213

A robust pricing/lot-sizing model and a solution method based on geometric programming

Sungmook Lim
, Woo Je Kim

Dept. of Industrial Engineering

Korea University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The pricing/lot-sizing problem of determining the robust optimal order quantity and selling price is discussed. The uncertainty of parameters characterized by an ellipsoid is explicitly incorporated into the problem. An approximation scheme is proposed to transform the problem into a geometric program, which can be efficiently and reliably solved using interior-point methods.

Original language	English
Title of host publication	Proceedings - IEEE INDIN 2008
Subtitle of host publication	6th IEEE International Conference on Industrial Informatics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	808-811
Number of pages	4
ISBN (Print)	9781424421718
DOIs	https://doi.org/10.1109/INDIN.2008.4618213
State	Published - 2008
Event	IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics - Daejeon, Korea, Republic of Duration: 13 Jul 2008 → 16 Jul 2008

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)	1935-4576

Conference

Conference	IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics
Country/Territory	Korea, Republic of
City	Daejeon
Period	13/07/08 → 16/07/08

Access to Document

10.1109/INDIN.2008.4618213

Cite this

Lim, S., & Kim, W. J. (2008). A robust pricing/lot-sizing model and a solution method based on geometric programming. In Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics (pp. 808-811). Article 4618213 (IEEE International Conference on Industrial Informatics (INDIN)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN.2008.4618213

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title = "A robust pricing/lot-sizing model and a solution method based on geometric programming",

abstract = "The pricing/lot-sizing problem of determining the robust optimal order quantity and selling price is discussed. The uncertainty of parameters characterized by an ellipsoid is explicitly incorporated into the problem. An approximation scheme is proposed to transform the problem into a geometric program, which can be efficiently and reliably solved using interior-point methods.",

author = "Sungmook Lim and Kim, \{Woo Je\}",

year = "2008",

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language = "English",

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Lim, S & Kim, WJ 2008, A robust pricing/lot-sizing model and a solution method based on geometric programming. in Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics., 4618213, IEEE International Conference on Industrial Informatics (INDIN), Institute of Electrical and Electronics Engineers Inc., pp. 808-811, IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics, Daejeon, Korea, Republic of, 13/07/08. https://doi.org/10.1109/INDIN.2008.4618213

A robust pricing/lot-sizing model and a solution method based on geometric programming. / Lim, Sungmook; Kim, Woo Je.
Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics. Institute of Electrical and Electronics Engineers Inc., 2008. p. 808-811 4618213 (IEEE International Conference on Industrial Informatics (INDIN)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Lim S, Kim WJ. A robust pricing/lot-sizing model and a solution method based on geometric programming. In Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics. Institute of Electrical and Electronics Engineers Inc. 2008. p. 808-811. 4618213. (IEEE International Conference on Industrial Informatics (INDIN)). doi: 10.1109/INDIN.2008.4618213

A robust pricing/lot-sizing model and a solution method based on geometric programming

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