An effective potential field approach to FMS holonic heterarchical control

Pach, Cyrille; Bekrar, Abdelghani; Zbib, Nadine; Sallez, Yves; Trentesaux, Damien

doi:10.1016/j.conengprac.2012.07.005

Cited by 27 publications

(19 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…ADACOR approach, presenting the adaptive control approach balancing between hierarchical and heterarchical approaches in response to the occurrence of failures. ADACOR 2 approach, enabling the behavioural self-organization approach (in this work, by selecting new behaviours, such as those using a Potential Fields (PF) approach [43]). …”

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

confidence: 99%

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

Barbosa¹,

Leitão²,

Adam³

et al. 2015

Computers in Industry

203

View full text Add to dashboard Cite

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

confidence: 99%

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

Barbosa¹,

Leitão²,

Adam³

et al. 2015

Computers in Industry

203

View full text Add to dashboard Cite

“…Scheduling problem for FMS has been investigated by some academics: Ulusoy et al [18], Ali et al [19], Pach et al [20], and Leitao & Restivo [21]. After that, Abazari et al [22] proposed a linear mathematical programming model with both continuous and zeroone variables for job selection and operation-allocation problems in an FMS to maximize pro tability and utilization of system.…”

Section: Fms Studiesmentioning

confidence: 99%

A flexible cell scheduling problem with automated guided vehicles and robots under energy-conscious policy

2017

View full text Add to dashboard Cite

Abstract. A exible Cell Scheduling Problem (CSP) under Time-Of-Use (TOU)electricity tari s is developed in this study. To apply a kind of energy-conscious policy, overconsumption cost of on-peak period electricity, limitations on total energy consumption by all facilities, setup time available on each cell, part defect (pert) percentage, and the total number of Automated Guided Vehicles (AGV) were considered. Additionally, an Ant Colony Optimization (ACO) algorithm was employed to nd a near-optimum solution to the proposed Mixed Integer Linear Programming (MILP) model with the objective of minimizing the total cost of CSP model. Since no benchmark is available in the literature, a lower bound was implemented as well to validate the result achieved. Moreover, to improve the quality of the results obtained by meta-heuristic algorithms, two hybrid algorithms (HGA and HACO) were proposed to solve the model. For parameter tuning of algorithms, Taguchi experimental design method was applied. Then, numerical examples were presented to prove the application of the proposed methodology. Our results were compared with the lower bound, con rming consequently that HACO is capable of nding better and near-optimum solutions.

show abstract

“…This field, which can be attracting or repelling fields, is dynamically calculated by the availability of the machines (RDEs) that process the requested operation and distance between machine and job (LDEs). Further reading about potential fields in manufacturing, applications can be found in Pach et al (2012).…”

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

View full text Add to dashboard Cite

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.

show abstract

An effective potential field approach to FMS holonic heterarchical control

Cited by 27 publications

References 43 publications

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

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

A flexible cell scheduling problem with automated guided vehicles and robots under energy-conscious policy

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

Contact Info

Product

Resources

About