A holonic approach to dynamic manufacturing scheduling

Paulo Leitão; Francisco Restivo

doi:10.1016/j.rcim.2007.09.005

A holonic approach to dynamic manufacturing scheduling

Paulo Leitão^*
, Francisco Restivo

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

79 Citations (Scopus)

Abstract

Manufacturing scheduling is a complex combinatorial problem, particularly in distributed and dynamic environments. This paper presents a holonic approach to manufacturing scheduling, where the scheduling functions are distributed by several entities, combining their calculation power and local optimization capability. In this scheduling and control approach, the objective is to achieve fast and dynamic re-scheduling using a scheduling mechanism that evolves dynamically to combine centralized and distributed strategies, improving its responsiveness to emergence, instead of the complex and optimized scheduling algorithms found in traditional approaches.

Original language	English
Pages (from-to)	625-634
Number of pages	10
Journal	Robotics and Computer-Integrated Manufacturing
Volume	24
Issue number	5
DOIs	https://doi.org/10.1016/j.rcim.2007.09.005
Publication status	Published - Oct 2008
Externally published	Yes
Event	7th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services - Niagara Falls, Canada Duration: 4 Sept 2006 → 6 Sept 2006 Conference number: 7

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Dynamic re-scheduling
Holonic manufacturing systems
Intelligent production control systems
Manufacturing scheduling

Access to Document

10.1016/j.rcim.2007.09.005

Cite this

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title = "A holonic approach to dynamic manufacturing scheduling",

abstract = "Manufacturing scheduling is a complex combinatorial problem, particularly in distributed and dynamic environments. This paper presents a holonic approach to manufacturing scheduling, where the scheduling functions are distributed by several entities, combining their calculation power and local optimization capability. In this scheduling and control approach, the objective is to achieve fast and dynamic re-scheduling using a scheduling mechanism that evolves dynamically to combine centralized and distributed strategies, improving its responsiveness to emergence, instead of the complex and optimized scheduling algorithms found in traditional approaches.",

keywords = "Dynamic re-scheduling, Holonic manufacturing systems, Intelligent production control systems, Manufacturing scheduling",

author = "Paulo Leit{\~a}o and Francisco Restivo",

note = "Copyright: Copyright 2008 Elsevier B.V., All rights reserved.; 7th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services ; Conference date: 04-09-2006 Through 06-09-2006",

year = "2008",

month = oct,

doi = "10.1016/j.rcim.2007.09.005",

language = "English",

volume = "24",

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journal = "Robotics and Computer-Integrated Manufacturing",

issn = "0736-5845",

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AU - Leitão, Paulo

AU - Restivo, Francisco

N1 - Conference code: 7

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N2 - Manufacturing scheduling is a complex combinatorial problem, particularly in distributed and dynamic environments. This paper presents a holonic approach to manufacturing scheduling, where the scheduling functions are distributed by several entities, combining their calculation power and local optimization capability. In this scheduling and control approach, the objective is to achieve fast and dynamic re-scheduling using a scheduling mechanism that evolves dynamically to combine centralized and distributed strategies, improving its responsiveness to emergence, instead of the complex and optimized scheduling algorithms found in traditional approaches.

AB - Manufacturing scheduling is a complex combinatorial problem, particularly in distributed and dynamic environments. This paper presents a holonic approach to manufacturing scheduling, where the scheduling functions are distributed by several entities, combining their calculation power and local optimization capability. In this scheduling and control approach, the objective is to achieve fast and dynamic re-scheduling using a scheduling mechanism that evolves dynamically to combine centralized and distributed strategies, improving its responsiveness to emergence, instead of the complex and optimized scheduling algorithms found in traditional approaches.

KW - Dynamic re-scheduling

KW - Holonic manufacturing systems

KW - Intelligent production control systems

KW - Manufacturing scheduling

UR - https://www.scopus.com/pages/publications/44649183271

U2 - 10.1016/j.rcim.2007.09.005

DO - 10.1016/j.rcim.2007.09.005

M3 - Article

AN - SCOPUS:44649183271

SN - 0736-5845

VL - 24

SP - 625

EP - 634

JO - Robotics and Computer-Integrated Manufacturing

JF - Robotics and Computer-Integrated Manufacturing

IS - 5

T2 - 7th IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services

Y2 - 4 September 2006 through 6 September 2006

ER -

A holonic approach to dynamic manufacturing scheduling

Abstract

UN SDGs

Keywords

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