Computational evaluation of order selection methods in dynamic supply chains

Y. Tanimizu; B. Orita; Y. Shimizu; C. Ozawa; Y. Maeda; K. Iwamura; N. Sugimura

doi:10.1016/j.procir.2012.07.049

Computational evaluation of order selection methods in dynamic supply chains

Y. Tanimizu^*, B. Orita, Y. Shimizu, C. Ozawa, Y. Maeda, K. Iwamura, N. Sugimura

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

Previous researches proposed a dynamic supply chain model, which consists of three model components; those are clients, manufacturers, and suppliers. The model provided a numerical method to determine suitable prices and delivery times of products through the iteration of both the modification processes of production schedules and the negotiation processes among the model components. This paper proposes an effective order selection method for suppliers to find a suitable order in a number of orders sent from the lower-layer organizations. Computational experiments were carried to evaluate the effectiveness of the proposed method by using a developed supply chain simulation system.

Original language	English
Pages (from-to)	281-286
Number of pages	6
Journal	Procedia CIRP
Volume	3
Issue number	1
DOIs	https://doi.org/10.1016/j.procir.2012.07.049
Publication status	Published - 2012
Externally published	Yes
Event	45th CIRP Conference on Manufacturing Systems, CMS 2012 - Athens, Greece Duration: 2012 May 16 → 2012 May 18

Keywords

Genetic algorithm
Heuristic rule
Make-to-order
Multithread processing
Negotiation
Parallel scheduling
Penalty
Supply chain

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

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10.1016/j.procir.2012.07.049

Cite this

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title = "Computational evaluation of order selection methods in dynamic supply chains",

abstract = "Previous researches proposed a dynamic supply chain model, which consists of three model components; those are clients, manufacturers, and suppliers. The model provided a numerical method to determine suitable prices and delivery times of products through the iteration of both the modification processes of production schedules and the negotiation processes among the model components. This paper proposes an effective order selection method for suppliers to find a suitable order in a number of orders sent from the lower-layer organizations. Computational experiments were carried to evaluate the effectiveness of the proposed method by using a developed supply chain simulation system.",

keywords = "Genetic algorithm, Heuristic rule, Make-to-order, Multithread processing, Negotiation, Parallel scheduling, Penalty, Supply chain",

author = "Y. Tanimizu and B. Orita and Y. Shimizu and C. Ozawa and Y. Maeda and K. Iwamura and N. Sugimura",

year = "2012",

doi = "10.1016/j.procir.2012.07.049",

language = "English",

volume = "3",

pages = "281--286",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier BV",

number = "1",

note = "45th CIRP Conference on Manufacturing Systems, CMS 2012 ; Conference date: 16-05-2012 Through 18-05-2012",

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TY - JOUR

T1 - Computational evaluation of order selection methods in dynamic supply chains

AU - Tanimizu, Y.

AU - Orita, B.

AU - Shimizu, Y.

AU - Ozawa, C.

AU - Maeda, Y.

AU - Iwamura, K.

AU - Sugimura, N.

PY - 2012

Y1 - 2012

N2 - Previous researches proposed a dynamic supply chain model, which consists of three model components; those are clients, manufacturers, and suppliers. The model provided a numerical method to determine suitable prices and delivery times of products through the iteration of both the modification processes of production schedules and the negotiation processes among the model components. This paper proposes an effective order selection method for suppliers to find a suitable order in a number of orders sent from the lower-layer organizations. Computational experiments were carried to evaluate the effectiveness of the proposed method by using a developed supply chain simulation system.

AB - Previous researches proposed a dynamic supply chain model, which consists of three model components; those are clients, manufacturers, and suppliers. The model provided a numerical method to determine suitable prices and delivery times of products through the iteration of both the modification processes of production schedules and the negotiation processes among the model components. This paper proposes an effective order selection method for suppliers to find a suitable order in a number of orders sent from the lower-layer organizations. Computational experiments were carried to evaluate the effectiveness of the proposed method by using a developed supply chain simulation system.

KW - Genetic algorithm

KW - Heuristic rule

KW - Make-to-order

KW - Multithread processing

KW - Negotiation

KW - Parallel scheduling

KW - Penalty

KW - Supply chain

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U2 - 10.1016/j.procir.2012.07.049

DO - 10.1016/j.procir.2012.07.049

M3 - Conference article

AN - SCOPUS:84879192485

SN - 2212-8271

VL - 3

SP - 281

EP - 286

JO - Procedia CIRP

JF - Procedia CIRP

IS - 1

T2 - 45th CIRP Conference on Manufacturing Systems, CMS 2012

Y2 - 16 May 2012 through 18 May 2012

ER -

Computational evaluation of order selection methods in dynamic supply chains

Abstract

Keywords

ASJC Scopus subject areas

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