10 research outputs found
New Solution of Abstract Architecture for Control and Coordination Decentralized Systems
This paper contains a new approach that combines the advantages and disadvantages of suppressing hierarchical and heterarchical control architectures, creating a semi-heterarchical (holonic) control architecture. The degree of subordinate unit autonomy changes dynamically, depending on the presence of a system disruption, and its scope allows for a smooth transition from hierarchical to heterarchic control architecture in subordinate units. We have proposed a representation of the dynamic degree of autonomy and its possible application to subordinate units, which are, in our case, one-directional Automated Guided Vehicles (AGVs) and are guided by magnetic tape. In order to achieve such a semi-heterarchic management architecture with a dynamic degree of autonomy, approaches such as smart product, stymergic (indirect) communication, or basic principles of holon approach have been implemented
A switching mechanism framework for optimal coupling of predictive scheduling and reactive control in manufacturing hybrid control architectures
Nowadays, manufacturing systems are seeking control architectures that offer efficient production performance and reactivity to disruptive events. Dynamic hybrid control architectures are a promising approach as they are not only able to switch dynamically between hierarchical, heterarchical and semi-heterarchical structures, they can also switch the level of coupling between predictive scheduling and reactive control techniques. However, few approaches address an efficient switching process in terms of structure and coupling. This paper presents a switching mechanism framework in dynamic hybrid control architectures, which exploits the advantages of hierarchical manufacturing scheduling systems and heterarchical manufacturing execution systems, and also mitigates the respective reactivity and optimality drawbacks. The main feature in this framework is that it monitors the system dynamics online and shifts between different operating modes to attain the most suitable production control strategy. The experiments were carried out in an emulation of a real manufacturing system to illustrate the benefits of including a switching mechanism in simulated scenarios. The results show that the switching mechanism improves response to disruptions in a global performance indicator as it permits to select the best alternative from several operating modes.This article was supported by COLCIENCIAS Departamento Administrativo de Ciencia, TecnologĂa e InnovaciĂłn 10.13039/100007637 [Grant Number Convocatoria 568 Doctorados en el exterior]; Pontificia Universidad Javeriana [Grant Number Programa de Formacion de posgrados].info:eu-repo/semantics/publishedVersio
Réduction du comportement myope dans le contrÎle des FMS : une approche semi-hétérarchique basée sur la simulation-optimisation
Heterarchical-based control for flexible manufacturing systems (FMS) localizes control capabilities in decisional entities (DE), resulting in highly reactive and low complex control architectures. However, these architectures present myopic behavior since DEs have limited visibility of other DEs and their behavior, making difficult to ensure certain global performance. This dissertation focuses on reducing myopic behavior. At first, a definition and a typology of myopic behavior in FMS is proposed. In this thesis, myopic behavior is dealt explicitly so global performance can be improved. Thus, we propose a semi-heterarchical architecture in which a global decisional entity (GDE) deals with different kinds of myopic decisions using simulation-based optimization (SbOs). Different optimization techniques can be used so myopic decisions can be dealt individually, favoring GDE modularity. Then, the SbOs can adopt different roles, being possible to reduce myopic behavior in different ways. More, it is also possible to grant local decisional entities with different autonomy levels by applying different interaction modes. In order to balance reactivity and global performance, our approach accepts configurations in which some myopic behaviors are reduced and others are accepted. Our approach was instantiated to control the assembly cell at Valenciennes AIPPRIMECA center. Simulation results showed that the proposed architecture reduces myopic behavior whereby it strikes a balance between reactivity and global performance. The real implementation on the assembly cell verified the effectiveness of our approach under realistic dynamic scenarios, and promising results were obtained.Le contrÎle hétérarchique des systÚmes de production flexibles (FMS) préconise un contrÎle peu complexe et hautement réactif supporté par des entités décisionnelles locales (DEs). En dépit d'avancées prometteuses, ces architectures présentent un comportement myope car les DEs ont une visibilité informationnelle limitée sue les autres DEs, ce qui rend difficile la garantie d'une performance globale minimum. Cette thÚse se concentre sur les approches permettant de réduire cette myopie. D'abord, une définition et une typologie de cette myopie dans les FMS sont proposées. Ensuite, nous proposons de traiter explicitement le comportement myope avec une architecture semi-hétérarchique. Dans celle-ci, une entité décisionnelle globale (GDE) traite différents types de décisions myopes à l'aide des différentes techniques d'optimisation basée sur la simulation (SbO). De plus, les SbO peuvent adopter plusieurs rÎles, permettant de réduire le comportement myope de plusieurs façons. Il est également possible d'avoir plusieurs niveaux d'autonomie en appliquant différents modes d'interaction. Ainsi, notre approche accepte des configurations dans lesquelles certains comportements myopes sont réduits et d'autres sont acceptés. Notre approche a été instanciée pour contrÎler la cellule flexible AIP- PRIMECA de l'Université de Valenciennes. Les résultats des simulations ont montré que l'architecture proposée peut réduire les comportements myopes en établissant un équilibre entre la réactivité et la performance globale. Des expérimentations réelles ont été réalisées sur la cellule AIP-PRIMECA pour des scenarios dynamiques et des résultats prometteurs ont été obtenus
Application of lean scheduling and production control in non-repetitive manufacturing systems using intelligent agent decision support
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Lean Manufacturing (LM) is widely accepted as a world-class manufacturing paradigm, its currency and superiority are manifested in numerous recent success stories. Most lean tools including Just-in-Time (JIT) were designed for repetitive serial production systems. This resulted in a substantial stream of research which dismissed a priori the suitability of LM for non-repetitive non-serial job-shops. The extension of LM into non-repetitive production systems is opposed on the basis of the sheer complexity of applying JIT pull production control in non-repetitive systems fabricating a high variety of products. However, the application of LM in job-shops is not unexplored. Studies proposing the extension of leanness into non-repetitive production systems have promoted the modification of pull control mechanisms or reconfiguration of job-shops into cellular manufacturing systems. This thesis sought to address the shortcomings of the aforementioned approaches. The contribution of this thesis to knowledge in the field of production and operations management is threefold:
Firstly, a Multi-Agent System (MAS) is designed to directly apply pull production control to a good approximation of a real-life job-shop. The scale and complexity of the developed MAS prove that the application of pull production control in non-repetitive manufacturing systems is challenging, perplex and laborious. Secondly, the thesis examines three pull production control mechanisms namely, Kanban, Base Stock and Constant Work-in-Process (CONWIP) which it enhances so as to prevent system deadlocks, an issue largely unaddressed in the relevant literature. Having successfully tested the transferability of pull production control to non-repetitive manufacturing, the third contribution of this thesis is that it uses experimental and empirical data to examine the impact of pull production control on job-shop performance. The thesis identifies issues resulting from the application of pull control in job-shops which have implications for industry practice and concludes by outlining further research that can be undertaken in this direction
13th International Conference on Modeling, Optimization and Simulation - MOSIM 2020
ComitĂ© dâorganisation: UniversitĂ© Internationale dâAgadir â Agadir (Maroc) Laboratoire Conception Fabrication Commande â Metz (France)Session RS-1 âSimulation et Optimisationâ / âSimulation and Optimizationâ Session RS-2 âPlanification des Besoins MatiĂšres PilotĂ©e par la Demandeâ / âDemand-Driven Material Requirements Planningâ Session RS-3 âIngĂ©nierie de SystĂšmes BasĂ©es sur les ModĂšlesâ / âModel-Based System Engineeringâ Session RS-4 âRecherche OpĂ©rationnelle en Gestion de Productionâ / "Operations Research in Production Management" Session RS-5 "Planification des MatiĂšres et des Ressources / Planification de la Productionâ / âMaterial and Resource Planning / Production Planning" Session RS-6 âMaintenance Industrielleâ / âIndustrial Maintenanceâ Session RS-7 "Etudes de Cas Industrielsâ / âIndustrial Case Studies" Session RS-8 "DonnĂ©es de Masse / Analyse de DonnĂ©esâ / âBig Data / Data Analytics" Session RS-9 "Gestion des SystĂšmes de Transportâ / âTransportation System Management" Session RS-10 "Economie Circulaire / DĂ©veloppement Durable" / "Circular Economie / Sustainable Development" Session RS-11 "Conception et Gestion des ChaĂźnes Logistiquesâ / âSupply Chain Design and Management" Session SP-1 âIntelligence Artificielle & Analyse de DonnĂ©es pour la Production 4.0â / âArtificial Intelligence & Data Analytics in Manufacturing 4.0â Session SP-2 âGestion des Risques en Logistiqueâ / âRisk Management in Logisticsâ Session SP-3 âGestion des Risques et Evaluation de Performanceâ / âRisk Management and Performance Assessmentâ Session SP-4 "Indicateurs ClĂ©s de Performance 4.0 et Dynamique de Prise de DĂ©cisionâ / â4.0 Key Performance Indicators and Decision-Making Dynamics" Session SP-5 "Logistique Maritimeâ / âMarine Logistics" Session SP-6 âTerritoire et Logistique : Un SystĂšme Complexeâ / âTerritory and Logistics: A Complex Systemâ Session SP-7 "Nouvelles AvancĂ©es et Applications de la Logique Floue en Production Durable et en Logistiqueâ / âRecent Advances and Fuzzy-Logic Applications in Sustainable Manufacturing and Logistics" Session SP-8 âGestion des Soins de SantĂ©â / âHealth Care Managementâ Session SP-9 âIngĂ©nierie Organisationnelle et Gestion de la ContinuitĂ© de Service des SystĂšmes de SantĂ© dans lâEre de la Transformation NumĂ©rique de la SociĂ©tĂ©â / âOrganizational Engineering and Management of Business Continuity of Healthcare Systems in the Era of Numerical Society Transformationâ Session SP-10 âPlanification et Commande de la Production pour lâIndustrie 4.0â / âProduction Planning and Control for Industry 4.0â Session SP-11 âOptimisation des SystĂšmes de Production dans le Contexte 4.0 Utilisant lâAmĂ©lioration Continueâ / âProduction System Optimization in 4.0 Context Using Continuous Improvementâ Session SP-12 âDĂ©fis pour la Conception des SystĂšmes de Production Cyber-Physiquesâ / âChallenges for the Design of Cyber Physical Production Systemsâ Session SP-13 âProduction AvisĂ©e et DĂ©veloppement Durableâ / âSmart Manufacturing and Sustainable Developmentâ Session SP-14 âLâHumain dans lâUsine du Futurâ / âHuman in the Factory of the Futureâ Session SP-15 âOrdonnancement et PrĂ©vision de ChaĂźnes Logistiques RĂ©silientesâ / âScheduling and Forecasting for Resilient Supply Chains
MetodologĂa de implantaciĂłn de modelos de gestiĂłn de la informaciĂłn dentro de los sistemas de planificaciĂłn de recursos empresariales. AplicaciĂłn en la pequeña y mediana empresa
La Siguiente GeneraciĂłn de Sistemas de FabricaciĂłn (SGSF) trata de dar respuesta a los requerimientos de los nuevos modelos de empresas, en contextos de inteligencia, agilidad y adaptabilidad en un entono global y virtual. La PlanificaciĂłn de Recursos Empresariales (ERP) con soportes de gestiĂłn del producto (PDM) y el ciclo de vida del producto (PLM) proporciona soluciones de gestiĂłn empresarial sobre la base de un uso coherente de tecnologĂas de la informaciĂłn para la implantaciĂłn en sistemas CIM (Computer-Integrated Manufacturing), con un alto grado de adaptabilidad a la estnictura organizativa deseada. En general, esta implementaciĂłn se lleva desarrollando hace tiempo en grandes empresas, siendo menor (casi nula) su extensiĂłn a PYMEs.
La presente Tesis Doctoral, define y desarrolla una nueva metodologĂa de implementaciĂłn pan la generaciĂłn automĂĄtica de la informaciĂłn en los procesos de negocio que se verifican en empresas con requerimientos adaptados a las necesidades de la SGSF, dentro de los sistemas de gestiĂłn de los recursos empresariales (ERP), atendiendo a la influencia del factor humano. La validez del modelo teĂłrico de la metodologĂa mencionada se ha comprobado al implementarlo en una empresa del tipo PYME, del sector de IngenierĂa.
Para el establecimiento del Estado del Arte de este tema se ha diseñado y aplicado una metodologĂa especĂfica basada en el ciclo de mejora continua de Shewhart/Deming, aplicando las herramientas de bĂșsqueda y anĂĄlisis bibliogrĂĄfico disponibles en la red con acceso a las correspondientes bases de datos
Fusing organisational change and leadership into a practical roadmap for South African organisations
The intention of this study was theory creation in the field of organisational change,
directed towards the creation of a conceptual change framework. A qualitative
research approach was followed and a grounded theory methodology adopted.
This study involved a theoretical investigation of organisational change and leadership
within South African organisations, although insights gained could be transferred
across contexts or settings. The primary aim was to create a practical change
framework to ensure sustainable organisational change. Secondly, to determine the
impact of leadership on successful organisational change. Thirdly, to establish
whether any fundamental elements can be identified as essential for inclusion in such
a change framework. Fourthly, to identify non-negotiable success factors that can
ensure successful change. Fifthly, to determine the human elements that should be
included in order to minimise negative outcomes such as resistance and noncompliance.
The final aim was to ascertain what meta-insights can be gained from
organisational change and leadership.
The research findings concluded that the first perception when speaking about change
is fear, anxiety and increased stress, resulting in impaired functioning. Organisations
struggle to handle increased stress levels during periods of change and require
improved methods of dealing with stress to ensure optimal individual functioning. Only
through reduced stress levels will individuals be able to engage with organisational
change initiatives.
Alternative intervention technologies were suggested which could assist the individual
change journey through reduced stress and/or increased consciousness. These
alternative intervention technologies were suggested because of the paucity of current
literature. It practically aids organisations on how to deal with the stress dilemma.
This research introduced the concepts of anti-leader and anti-manager. These
concepts depict the negative characteristics of leadership and management which
invariably increases individual stress levels. Emotions elicited by the anti-leader and/or
anti-manager could potentially split, divide and fragment a workforce.
The ideal organisational approach should be designed by the people, be inclusive of
all, involve, empower and allow individuals to make the required decisions. As
organisational change can only be effected through individual change, this thesis
places the individual in the centre. Without individual change, vicissitude and
sustainable organisational change become highly unlikely.Graduate School of Business LeadershipDB