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Flow Formulation of Demand Propagation in Guaranteed Service Models

Title data

Kamp, Dominik ; Rambau, Jörg:
Flow Formulation of Demand Propagation in Guaranteed Service Models.
In: IFAC-PapersOnLine. Vol. 55 (2022) Issue 20 . - pp. 505-510.
ISSN 2405-8963
DOI: https://doi.org/10.1016/j.ifacol.2022.09.145

Official URL: Volltext

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Project information

Project title:
Project's official title
Project's id
The Stochastic Guaranteed Service Model with Demand Propagation (SGSM-DP)
RA 1033/3-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

In this paper we present two alternative models for the Stochastic Guaranteed Service Model with Demand Propagation (SGSM-DP) in multi-echelon inventory theory. While the original SGSM-DP could so far not be solved for standard networks with more than 15 nodes in 1000 seconds, the new equivalent model F-SGSM-DP based on dynamic flows with arcs going backwards in time can be solved even for heavy instances with up to around 50 nodes.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: operation research; logistics; planning; comparison of methods for modeling; optimization; multi-echelon inventory management; stochastic programming; network flow; guaranteed service model; mixed-integer linear programming; demand propagation
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics > Chair Mathematical Economics - Univ.-Prof. Dr. Jörg Rambau
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Graduate Schools > University of Bayreuth Graduate School
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT) > Computational Mathematics in Science and Engineering
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics
Research Institutions
Research Institutions > Central research institutes
Graduate Schools
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT)
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 12 Jan 2023 09:16
Last Modified: 09 Aug 2023 07:52
URI: https://eref.uni-bayreuth.de/id/eprint/73289