Simulation-based constraint generation with applications to optimization of logistic system design

Susumi Morito; Jun Koida; Tsukasa Iwama; Masanori Sato; Yosiaki Tamura

Simulation-based constraint generation with applications to optimization of logistic system design

Susumi Morito^*, Jun Koida, Tsukasa Iwama, Masanori Sato, Yosiaki Tamura

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

We present in this paper a general framework for a combined optimization/simulation approach where constraints to be satisfied are identified from results of simulation evaluation of the proposed system alternative, and then these constraints are added to the optimization model for re-optimization. The proposed cutting-plane-like procedure is iterative and terminates when an 'optimal' solution of a mathematical program is obtained which passes all conditions of performance criteria set for simulation evaluation. A case of the real large-scale logistic system design is taken as an example, and the proposed approach is shown to work efficiently for the case, and looks promising for other problems especially in the field of logistics and scheduling.

Original language	English
Title of host publication	Winter Simulation Conference Proceedings
Publisher	IEEE
Pages	531-536
Number of pages	6
Volume	1
Publication status	Published - 1999
Event	1999 Winter Simulation Conference Proceedings (WSC) - Phoenix, AZ, USA Duration: 1999 Dec 5 → 1999 Dec 8

Other

Other	1999 Winter Simulation Conference Proceedings (WSC)
City	Phoenix, AZ, USA
Period	99/12/5 → 99/12/8

ASJC Scopus subject areas

Chemical Health and Safety
Software
Safety, Risk, Reliability and Quality
Applied Mathematics
Modelling and Simulation

Cite this

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title = "Simulation-based constraint generation with applications to optimization of logistic system design",

abstract = "We present in this paper a general framework for a combined optimization/simulation approach where constraints to be satisfied are identified from results of simulation evaluation of the proposed system alternative, and then these constraints are added to the optimization model for re-optimization. The proposed cutting-plane-like procedure is iterative and terminates when an 'optimal' solution of a mathematical program is obtained which passes all conditions of performance criteria set for simulation evaluation. A case of the real large-scale logistic system design is taken as an example, and the proposed approach is shown to work efficiently for the case, and looks promising for other problems especially in the field of logistics and scheduling.",

author = "Susumi Morito and Jun Koida and Tsukasa Iwama and Masanori Sato and Yosiaki Tamura",

year = "1999",

language = "English",

volume = "1",

pages = "531--536",

booktitle = "Winter Simulation Conference Proceedings",

publisher = "IEEE",

note = "1999 Winter Simulation Conference Proceedings (WSC) ; Conference date: 05-12-1999 Through 08-12-1999",

}

TY - GEN

T1 - Simulation-based constraint generation with applications to optimization of logistic system design

AU - Morito, Susumi

AU - Koida, Jun

AU - Iwama, Tsukasa

AU - Sato, Masanori

AU - Tamura, Yosiaki

PY - 1999

Y1 - 1999

N2 - We present in this paper a general framework for a combined optimization/simulation approach where constraints to be satisfied are identified from results of simulation evaluation of the proposed system alternative, and then these constraints are added to the optimization model for re-optimization. The proposed cutting-plane-like procedure is iterative and terminates when an 'optimal' solution of a mathematical program is obtained which passes all conditions of performance criteria set for simulation evaluation. A case of the real large-scale logistic system design is taken as an example, and the proposed approach is shown to work efficiently for the case, and looks promising for other problems especially in the field of logistics and scheduling.

AB - We present in this paper a general framework for a combined optimization/simulation approach where constraints to be satisfied are identified from results of simulation evaluation of the proposed system alternative, and then these constraints are added to the optimization model for re-optimization. The proposed cutting-plane-like procedure is iterative and terminates when an 'optimal' solution of a mathematical program is obtained which passes all conditions of performance criteria set for simulation evaluation. A case of the real large-scale logistic system design is taken as an example, and the proposed approach is shown to work efficiently for the case, and looks promising for other problems especially in the field of logistics and scheduling.

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M3 - Conference contribution

AN - SCOPUS:0033325136

VL - 1

SP - 531

EP - 536

BT - Winter Simulation Conference Proceedings

PB - IEEE

T2 - 1999 Winter Simulation Conference Proceedings (WSC)

Y2 - 5 December 1999 through 8 December 1999

ER -

Simulation-based constraint generation with applications to optimization of logistic system design

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ASJC Scopus subject areas

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