Multi-agent just-in-time manufacturing scheduling system for dynamic environment

Yingzhe Jiang; Wei Weng; Shigeru Fujimura

doi:10.1109/IIAI-AAI.2016.44

Multi-agent just-in-time manufacturing scheduling system for dynamic environment

Yingzhe Jiang, Wei Weng, Shigeru Fujimura

Graduate School of Information, Production and Systems

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

2 Citations (Scopus)

Abstract

This article proposes a novel method to solve the manufacturing scheduling problems in multi-agent system (MAS) for dynamic environment. The study focuses on the machine selection work for jobs and proposes a remaining time prediction method, which will help a job choose machines based on estimated finishing time. In this way, we can keep the job finishing just-in-time, which aims to support a customer-oriented lead time policy, and can provide better manufacturing performance and increase customer service level. This article provides experimental results compared with another approach in previous research, through which we can find that in some case if we put the Just-in-time philosophy into consideration, the proposed method will deliver competitive performance.

Original language	English
Title of host publication	Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1022-1025
Number of pages	4
ISBN (Electronic)	9781467389853
DOIs	https://doi.org/10.1109/IIAI-AAI.2016.44
Publication status	Published - 2016 Aug 31
Event	5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan Duration: 2016 Jul 10 → 2016 Jul 14

Other

Other	5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/Territory	Japan
City	Kumamoto
Period	16/7/10 → 16/7/14

Keywords

Dynamic environment
Just-in-time
Multi-agent system
Remaining time prediction

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/IIAI-AAI.2016.44

Cite this

Multi-agent just-in-time manufacturing scheduling system for dynamic environment. / Jiang, Yingzhe; Weng, Wei; Fujimura, Shigeru.
Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1022-1025 7557763.

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

Jiang, Y, Weng, W & Fujimura, S 2016, Multi-agent just-in-time manufacturing scheduling system for dynamic environment. in Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016., 7557763, Institute of Electrical and Electronics Engineers Inc., pp. 1022-1025, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Kumamoto, Japan, 16/7/10. https://doi.org/10.1109/IIAI-AAI.2016.44

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abstract = "This article proposes a novel method to solve the manufacturing scheduling problems in multi-agent system (MAS) for dynamic environment. The study focuses on the machine selection work for jobs and proposes a remaining time prediction method, which will help a job choose machines based on estimated finishing time. In this way, we can keep the job finishing just-in-time, which aims to support a customer-oriented lead time policy, and can provide better manufacturing performance and increase customer service level. This article provides experimental results compared with another approach in previous research, through which we can find that in some case if we put the Just-in-time philosophy into consideration, the proposed method will deliver competitive performance.",

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N2 - This article proposes a novel method to solve the manufacturing scheduling problems in multi-agent system (MAS) for dynamic environment. The study focuses on the machine selection work for jobs and proposes a remaining time prediction method, which will help a job choose machines based on estimated finishing time. In this way, we can keep the job finishing just-in-time, which aims to support a customer-oriented lead time policy, and can provide better manufacturing performance and increase customer service level. This article provides experimental results compared with another approach in previous research, through which we can find that in some case if we put the Just-in-time philosophy into consideration, the proposed method will deliver competitive performance.

AB - This article proposes a novel method to solve the manufacturing scheduling problems in multi-agent system (MAS) for dynamic environment. The study focuses on the machine selection work for jobs and proposes a remaining time prediction method, which will help a job choose machines based on estimated finishing time. In this way, we can keep the job finishing just-in-time, which aims to support a customer-oriented lead time policy, and can provide better manufacturing performance and increase customer service level. This article provides experimental results compared with another approach in previous research, through which we can find that in some case if we put the Just-in-time philosophy into consideration, the proposed method will deliver competitive performance.

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Multi-agent just-in-time manufacturing scheduling system for dynamic environment

Abstract

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Keywords

ASJC Scopus subject areas

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