Benchmarking flexible job-shop scheduling and control systems

Trentesaux, Damien; Pach, Cyrille; Bekrar, Abdelghani; Sallez, Yves; Berger, Thierry; Bonte, Thérèse; Leitão, Paulo; Barbosa, José

doi:10.1016/j.conengprac.2013.05.004

Cited by 91 publications

(77 citation statements)

References 23 publications

(20 reference statements)

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“…Several sub-products are made in this system, namely the parts in the form of the letters A, B, E, I, L, P and T, which combined can produce the final products BELT and AIP. More detail about the case study benchmark can be found in [17].…”

Section: Resultsmentioning

confidence: 99%

Dynamic Service Reconfiguration with Multi-agent Systems

Rodrigues

Leitão²,

Oliveira

2017

Service Orientation in Holonic and Multi-Agent Manufacturing

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Most modern manufacturing systems rely on constantly seeking new solutions to better fulfil their manufacturing objectives. As reported in today's manufacturing literature, dynamic service reconfiguration is one solution that permits to endorse continuous service reconfiguration, flexibility and evolvable systems. In spite of the current research efforts, real reconfiguration solutions are still lacking automated tools that support dynamic and runtime reconfigurations by discovering new adaptation needs and opportunities and, thus, explore possible actions leading to new system configurations. To overcome these issues, it is essential to provide solutions that answer to the "when" and "what" to reconfigure questions. Most of the service changes triggers rely on reactive events, where decisions come from a centralized decision-maker and are performed manually. Based on these facts a service-oriented multi-agent systems architecture is described aiming at actively promoting service reconfiguration (e.g., improvement of the service's properties and/or update the services' catalogue) to cope with the unexpected and unpredictable condition changes. This paper describes the processes that decide which service reconfiguration should be applied to each circumstance. The developed prototype for a flexible manufacturing system case study allowed verifying the feasibility of the proposed dynamic service reconfiguration solution in different scenarios.

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Section: Resultsmentioning

confidence: 99%

Dynamic Service Reconfiguration with Multi-agent Systems

Rodrigues

Leitão²,

Oliveira

2017

Service Orientation in Holonic and Multi-Agent Manufacturing

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“…In the latter, failures were introduced in workstation M 2 at a rate of 25% (corresponding to scenario #PS12 of the benchmarking platform [38]), meaning that on average the resource will be unavailable every four work orders, guaranteeing determinism in the tests. In this situation, the work order affected and the subsequent ones need to be re-scheduled.…”

Section: Analysis Of the Results Of The Behavioural Self-organizationmentioning

confidence: 99%

“…The case study used in this work is presented in detail in [38]. In brief, the FMS is composed of six workstations linked by a conveyor system.…”

Section: Description Of the Case Study And System Implementationmentioning

confidence: 99%

Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution

Barbosa¹,

Leitão²,

Adam³

et al. 2015

Computers in Industry

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200

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“…For more information about the flexible job shop system at Valenciennes, the interested reader can consult Trentesaux et al (2013). Figure 4 illustrates the layout, the sequence of operations, the processing times, and the operation processed in each machine from the AIP-PRIMECA facility (Valenciennes).…”

Section: System Descriptionmentioning

confidence: 99%

“…A GDE is created to hold the predictive schedule generation technique (offline) of the jobs to be processed. For this, it solves the dispatching and machine sequence of each job according to the MILP model formulated in Trentesaux et al (2013). For this, it was used the IBM ILog Cplex optimisation studio (IBM ILOG CPLEX 2016) using concert technology (C++).…”

Section: Structural and Behavioural Characteristicsmentioning

confidence: 99%

Pollux: a dynamic hybrid control architecture for flexible job shop systems

Jiménez

Bekrar

Zambrano-Rey

et al. 2016

International Journal of Production Research

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Nowadays, manufacturing control systems can respond more effectively to exigent market requirements and real-time demands. Indeed, they take advantage of changing their structural and behavioural arrangements to tailor the control solution from a diverse set of feasible configurations. However, the challenge of this approach is to determine efficient mechanisms that dynamically optimise the configuration between different architectures. This paper presents a dynamic hybrid control architecture that integrates a switching mechanism to control changes at both structural and behavioural level. The switching mechanism is based on a genetic algorithm and strives to find the most suitable operating mode of the architecture with regard to optimality and reactivity. The proposed approach was tested in a real flexible job shop to demonstrate the applicability and efficiency of including an optimisation algorithm in the switching process of a dynamic hybrid control architecture.

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Benchmarking flexible job-shop scheduling and control systems

Cited by 91 publications

References 23 publications

Dynamic Service Reconfiguration with Multi-agent Systems

Dynamic Service Reconfiguration with Multi-agent Systems

Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution

Pollux: a dynamic hybrid control architecture for flexible job shop systems

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