Dynamic shopfloor scheduling in multi-agent manufacturing systems

Wong, TN; Leung, CW; Mak, K. L.; Fung, Richard Y. K.

doi:10.1016/j.eswa.2005.09.073

Cited by 140 publications

(70 citation statements)

References 24 publications

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“…Leitao and Restivo (2002) considered priority of a new order in terms of early due date. Wong et al (2006) introduced a fictitious cost element to determine scheduling priority of job. This cost is a function of critical ratio defined as ratio of due date and total processing time.…”

Section: Priority Rule For Schedulingmentioning

confidence: 99%

“…The tasks are allocated initially following Contract Net Protocol (CNP) (Smith, 1980) and rescheduling is done by hybrid-genetic algorithm to achieve global optimization. Wong et al (2006) developed an agent-based approach for the dynamic integration of the process planning and scheduling. Two algorithms are developed to monitor the agent's individual decision are compatible with the global objectives.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-objective scheduling in an agent based Holonic manufacturing system

Jana¹,

Bairagi²,

Paul³

et al. 2013

10.5267/j.dsl

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The present paper is aimed at multi-objective scheduling in an agent based holonic manufacturing system to satisfy the goal of several communities namely the product, the resource, and the organization simultaneously. In this attempt, first a multi criteria based priority rule is developed following Simple Additive Weight (SAW) method under Multi Criteria Decision Making (MCDM) environment to rank the products. Accordingly, the products are allowed to select a particular resource for execution by negotiation considering minimum time as criterion. The interests of different communities are accomplished by allocating the ordered rank of products to the ordered rank of resources. Conflict, if arises between products and resources, are resolved by introducing the concept of Early Finish Time (EFT) as criterion for task allocation. A scheduling algorithm is proposed for execution of the rule. In view of machine failure, a cooperation strategy is evolved that also optimizes reallocation of the incomplete task. It is concluded that the proposed scheduling algorithm together with the disturbance handling algorithm are poised to satisfy the agent's local objective as well as organization's global objective concurrently and are commensurable with multi agent paradigm.

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Section: Priority Rule For Schedulingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective scheduling in an agent based Holonic manufacturing system

Jana¹,

Bairagi²,

Paul³

et al. 2013

10.5267/j.dsl

View full text Add to dashboard Cite

show abstract

“…Some other cases use a supervisory controller to achieve interfacing of process planning and production scheduling, where process plans are retrieved or created by supervisory controllers based on centralised methods. Production schedules in these cases are then obtained through heterarchical control on the basis of the process plan created by the supervisory controller (Wong et al, 2006b). The hybrid architecture based on this approach is easy to understand and implement.…”

Section: Modelling and Control Architectures Of Manufacturing Systemmentioning

confidence: 99%

Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system

Zhang

2014

International Journal of Production Economics

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“…The multi-agent based holonic manufacturing control has been considered as a very promising platform to execute distributed scheduling in dynamic manufacturing environments (Shen, 2002;Walker et al, 2005;Shen et al, 2006a, Shen et al, 2006bWong et al, 2006aWong et al, , 2006bLeitao & Restivo, 2008;Cao et al, 2009;Lou et al, 2010, Toptal & Sabuncuoglu, 2010Renna, 2011;Chan & Chung, 2013). The agent-based approach benefits the manufacturing scheduling in various ways, the most prominent being the integration of process planning and scheduling (IPPS) functions.…”

Section: Introductionmentioning

confidence: 99%

Handling machine breakdown for dynamic scheduling by a colony of cognitive agents in a holonic manufacturing framework

Jana¹,

Naskar²,

Paul³

et al. 2015

10.5267/j.dsl

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There is an ever increasing need of providing quick, yet improved solution to dynamic scheduling by better responsiveness following simple coordination mechanism to better adapt to the changing environments. In this endeavor, a cognitive agent based approach is proposed to deal with machine failure. A Multi Agent based Holonic Adaptive Scheduling (MAHoAS) architecture is developed to frame the schedule by explicit communication between the product holons and the resource holons in association with the integrated process planning and scheduling (IPPS) holon under normal situation. In the event of breakdown of a resource, the cooperation is sought by implicit communication. Inspired by the cognitive behavior of human being, a cognitive decision making scheme is proposed that reallocates the incomplete task to another resource in the most optimized manner and tries to expedite the processing in view of machine failure. A metamorphic algorithm is developed and implemented in Oracle 9i to identify the best candidate resource for task re-allocation. Integrated approach to process planning and scheduling realized under Multi Agent System (MAS) framework facilitates dynamic scheduling with improved performance under such situations.

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Dynamic shopfloor scheduling in multi-agent manufacturing systems

Cited by 140 publications

References 24 publications

Multi-objective scheduling in an agent based Holonic manufacturing system

Multi-objective scheduling in an agent based Holonic manufacturing system

Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system

Handling machine breakdown for dynamic scheduling by a colony of cognitive agents in a holonic manufacturing framework

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