Trends in Intelligent Manufacturing Systems

Christo, C.; Cardeira, Carlos

doi:10.1109/isie.2007.4375129

Cited by 27 publications

(16 citation statements)

References 21 publications

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“…It covers flow shop, job shop and parallel machine environments. So, the FJS can be used for modelling many of systems, including majority of flexible manufacturing systems (Christo & Cardeira, 2007). 2.…”

Section: Production System Structurementioning

confidence: 99%

“…A prototype scheduling module has been created for a medium size screw factory. This is the part of a larger project that strives for implementing an innovative flexible manufacturing system (Christo & Cardeira, 2007). Hardware and software infrastructure for the project has been created and the real-time monitoring subsystem has been developed so far ( abiński & Mączka, 2010).…”

Section: Design Of Scheduling Module For Screw Factorymentioning

confidence: 99%

See 1 more Smart Citation

Using Timed Coloured Petri Nets for Modelling, Simulation and Scheduling of Production Systems

Bożek¹

2012

Production Scheduling

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Section: Production System Structurementioning

confidence: 99%

Section: Design Of Scheduling Module For Screw Factorymentioning

confidence: 99%

Using Timed Coloured Petri Nets for Modelling, Simulation and Scheduling of Production Systems

Bożek¹

2012

Production Scheduling

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“…In multi agent system (MAS), a complex manufacturing system is divided into large numbers of small manageable agents that are autonomous, have intelligence to take their own decision, can perceive the environment and respond accordingly and can also communicate and cooperate with others (Christo & Cardeira 2007). The holonic behavior is realized by MAS.…”

Section: Introductionmentioning

confidence: 99%

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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“…In traditional manufacturing systems this would create an unacceptable decrease in efficiency due to high replacements costs, for example. (Christo & Cardeira, 2007) Modern computer systems devoted to manufacturing must be scalable, reconfigurable, expandable and open in the structure. The systems should enable an on-line monitoring, control and maximization of the total use of manufacturing resources as well as support human interactions with the system, especially on the factory floor.…”

Section: Introductionmentioning

confidence: 99%