Manufacturing Control Architecture for FMS with AGV: A State-of-the-Art

Gonzalez, Sergio; Mondragón, Iván F.; Zambrano, Gabriel; Hernandez, Wilson; Montaña, Henry

doi:10.1007/978-3-319-54377-2_14

Cited by 11 publications

(4 citation statements)

References 38 publications

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“…Constraint (19) allows the production specifications to be considered in terms of operation due date. Conflict avoidance is performed using constraint (20) where c = cr jk is the estimated chosen resource of agent j. The conflict degree cd ij allows the size of the conflict area to be tuned according to the number of agents involved.…”

Section: B Optimization Problemsmentioning

confidence: 99%

“…Since the resource was chosen at step 1, the objective is only to minimize the transportation time T T ik in order to arrive at the earliest date while respecting constraints similar to (14)- (19). Conflict constraint (20) is replaced by the two following coupled constraints, ensuring local collision avoidance, ∀t ∈ [τ k , τ k + T T ik ] and ∀j ∈ HP i :…”

Section: B Optimization Problemsmentioning

confidence: 99%

“…In [19], integration is achieved in a decentralized way. However, although decentralized architectures are more suitable to satisfy flexibility requirements, they lead to poorer global performance due to a lack of information [20]. In [21], the AGVs have to stop to synchronize their schedules.…”

Section: Introductionmentioning

confidence: 99%

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Decentralized Motion Planning and Scheduling of AGVs in an FMS

Demesure

Defoort

Bekrar

et al. 2018

IEEE Trans. Ind. Inf.

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In this paper, decentralized motion planning and scheduling of automated guided vehicles (AGVs) in a flexible manufacturing system (FMS) is proposed. A motion planner is combined with a scheduler allowing each AGV to update its destination resource during navigation in order to complete the transported product. The proposed strategy is based on two steps. The first step consists in planning a presumed trajectory to avoid collision conflicts previously detected by a central supervisor, enabling more appropriate decentralized scheduling by AGVs. The presumed trajectories, which represent the intentions of AGVs, are then exchanged with neighboring AGVs. The second step uses the presumed trajectories of neighbors to compute a collisionfree trajectory according to the priority policy. Numerical and experimental results are provided to show the pertinence and the feasibility of the proposed strategy.

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Section: B Optimization Problemsmentioning

confidence: 99%

Section: B Optimization Problemsmentioning

confidence: 99%

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Decentralized Motion Planning and Scheduling of AGVs in an FMS

Demesure

Defoort

Bekrar

et al. 2018

IEEE Trans. Ind. Inf.

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show abstract

“…In turn, [17] reviewed literature from the last two decades that focuses on the application of operations research methods in manufacturing system design related by flexible manufacturing system without emphasizing control structures. Without examining their control system, [18] has shown interest in the concept of matrix-structured manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Production Control Architectures for Flexible Manufacturing System

Ismayir,

Dawood,

AL-Khafaji

2024

Adv. Sci. Technol. Res. J.

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The study offers an analytical approach for assessing production control system performance in terms of volume and variety features of the product being manufactured for the flexible manufacturing system. Throughput, resource utilization, cycle time, and maximum completion time are the four performance indicators taken into account. The objective was to quantify the performance of the production system and define the reactive capability of production control architectures in a market that is becoming increasingly competitive. The examination of the production performances of control systems motivates the evaluation of these architectures through the introduction of scheduling approaches that deal with uncertainty. Results revealed the semi-heterarchical control architecture outperforms the hierarchical control architecture through multiple performance criteria. A case study with regard to a manufacturing control system was presented in order to highlight the significance of the adopted methodology and the contribution of the research.

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Mecanum Wheeled Mobile Platform Odometry Error Analysis and Correction

Quan

Chen

2021

Proceedings of IncoME-V &Amp; CEPE Net-2020

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Manufacturing Control Architecture for FMS with AGV: A State-of-the-Art

Cited by 11 publications

References 38 publications

Decentralized Motion Planning and Scheduling of AGVs in an FMS

Decentralized Motion Planning and Scheduling of AGVs in an FMS

Performance Evaluation of a Production Control Architectures for Flexible Manufacturing System

Mecanum Wheeled Mobile Platform Odometry Error Analysis and Correction

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