Collective Problem Solving through Coordination in a Society of Reactive Agents

Liu, Jyi-Shane

doi:10.21236/ada283008

Cited by 11 publications

(7 citation statements)

References 19 publications

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“…These approaches are rooted from the constraint satisfaction version of the scheduling problem [31,14,15]. The optimization version of the problem has rarely been attempted in DAI [31,16].…”

Section: Relevant Literaturementioning

confidence: 99%

Coalitions in coordinated multi-agent production scheduling: A computational study

Kutanoğlu

2007

Journal of Manufacturing Systems

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Section: Relevant Literaturementioning

confidence: 99%

Coalitions in coordinated multi-agent production scheduling: A computational study

Kutanoğlu

2007

Journal of Manufacturing Systems

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“…Colored timed object-oriented Petri Nets (CTOPN) [123] further incorporates structured, reusable, and easily maintainable control/decision knowledge that can be used in scheduling/dispatching. Constraint satisfaction is another search procedure that operates in the space of constraint sets rather than in the solution set space [59], [60], [68].…”

Section: A Traditional Approachesmentioning

confidence: 99%

“…Applications include manufacturing flow shop scheduling [18], [113] and job shop scheduling [49], [59], [60], transportation scheduling [27], power distribution scheduling [44], computing resource scheduling [31], meeting scheduling [100], medical test scheduling [38], and project management [54], [127]. An extensive bibliography on multiagent scheduling in manufacturing systems is compiled by Schiegg [88].…”

Section: B Agent-based Approachesmentioning

confidence: 99%

“…Its uniqueness is a voting protocol for communication among agents. d) Liu and Sycara [59] proposed a coordination mechanism called Constraint Partition and Coordinated Reaction (CP&CR) for job shop constraint satisfaction. This system assigns each resource to a resource agent responsible for enforcing capacity constraints on the resource, and each job to a job agent responsible for enforcing temporal precedence and release-date constraints within each job.…”

Section: Research Literature On Agent-based Manufacturing Schedulingmentioning

confidence: 99%

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Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey

Shen

Wang

Hao

2006

IEEE Trans. Syst., Man, Cybern. C

353

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Abstract-Manufacturing process planning is the process of selecting and sequencing manufacturing processes such that they achieve one or more goals and satisfy a set of domain constraints. Manufacturing scheduling is the process of selecting a process plan and assigning manufacturing resources for specific time periods to the set of manufacturing processes in the plan. It is, in fact, an optimization process by which limited manufacturing resources are allocated over time among parallel and sequential activities. Manufacturing process planning and scheduling are usually considered to be two separate and distinct phases. Traditional optimization approaches to these problems do not consider the constraints of both domains simultaneously and result in suboptimal solutions. Without considering real-time machine workloads and shop floor dynamics, process plans may become suboptimal or even invalid at the time of execution. Therefore, there is a need for the integration of manufacturing process-planning and scheduling systems for generating more realistic and effective plans. After describing the complexity of the manufacturing process-planning and scheduling problems, this paper reviews the research literature on manufacturing process planning, scheduling as well as their integration, particularly on agent-based approaches to these difficult problems. Major issues in these research areas are discussed, and research opportunities and challenges are identified.

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“…Within the past decade, a large number of researchers have applied a new paradigm named agent technology in attempts to resolve scheduling problems [4], [14]. An extensive bibliography on agent/multiagent scheduling in manufacturing systems is compiled in [21].…”

Section: Introductionmentioning

confidence: 99%

A Framework for Improving Planning-Scheduling Collaboration in Industrial Production Environment

Gómez-Gasquet¹,

Esteban²,

Pereyra³

et al. 2011

SIC

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Abstract:The work presented in this paper highlights how a real scheduling problem can be considered as a process avoiding the traditional operation research-based approach. Understanding the scheduling problem as a dynamic, uncertain and continuous process, in order to reduce the gap between reality and academic models, new conceptual elements emerge. The framework includes methodologies, concepts, architecture, and algorithms, which are based on the idea of a multiagent system in which planning-scheduling relationship is the core proposal. From the framework a software platform has been developed and tested in real industry.

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Collective Problem Solving through Coordination in a Society of Reactive Agents

Cited by 11 publications

References 19 publications

Coalitions in coordinated multi-agent production scheduling: A computational study

Coalitions in coordinated multi-agent production scheduling: A computational study

Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey

A Framework for Improving Planning-Scheduling Collaboration in Industrial Production Environment

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