Hierarchical-granularity holonic modelling

Calabrese, Marco; Amato, Alberto; Lecce, Vincenzo Di; Piuri, Vincenzo

doi:10.1007/s12652-010-0013-3

Cited by 24 publications

(10 citation statements)

References 93 publications

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“…In particular, the network is used for communications between the holons and its connections to determine the hierarchy in a holarchy, a specific organization of holons. Theoretically, any holon can be described recursively by a holarchy until the desired granularity level description is reached (Calabrese et al, 2010;Bonci, 2018f). The lower granularity in the presented method is the leaf units (cells) where OEE is evaluated.…”

Section: Discussion On Implementation Details and Future Workmentioning

confidence: 99%

“…The limited choice among the set of four structures provides self-similarity to the overall system model. The use of recursive approaches and self-similarity is the key to the programming of systems of systems with high granularity of autonomous components (Calabrese, Amato, Di Lecce, & Piuri, 2010). With a tree-based representation of the holarchy (a hierarchy of the holons) of the system, a recursive computing for the improvement of the effectiveness of productive components and of the overall system can be performed.…”

Section: Basics On the Performance Improvement Methodologymentioning

confidence: 99%

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Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Bonci¹,

Longhi²,

Pirani³

2019

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This paper presents the detailed definition of technique for the automation of the management of complex business systems, whether they are constituted of services and productions. The technique has been referred here for the first time as Holonic Management Tree (HMT) and has been consistently contextualized into undergoing research on technological frameworks for the management cybernetics, in which the concept of viable system represents a fundamental stance. HMT is based on the use of recursive formulas over self-similar holonic structures for the attainment of continuous performance improvement in a complex and continuously evolving process. The problem is associated to a recursive tree of self-similar structures of which in this paper we discuss the interpretation with respect to knowledge modeling domain. The basic expressions for the computation of the 2nd degree trees are provided and explained in detail by means of an example in lean management context. Moreover, this work presents and discusses the expressions that handle the implementation of the n-th degree case as a recurrent abstraction of the basic and simple 2nd degree computation.

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Section: Discussion On Implementation Details and Future Workmentioning

confidence: 99%

Section: Basics On the Performance Improvement Methodologymentioning

confidence: 99%

Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Bonci¹,

Longhi²,

Pirani³

2019

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“…He said that almost everything is both a whole and a part at the same time. In fact, a holon is recursively decomposed at a lower granularity level into a community of other holons to produce a holarchy [5]. Moreover, a holon may be viewed as a sort of recursive agent, which is a super-agent composed by a sub-agents set, where each sub-agent has its own behavior as a complementary part of the whole behaviour of the super-agent.…”

Section: A Metaheuristic Hybridization In a Holonic Multiagent Modelmentioning

confidence: 99%

Metaheuristics based on Clustering in a Holonic Multiagent Model for the Flexible Job Shop Problem

Nouri¹,

Driss²,

Ghédira³

2015

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

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The Flexible Job Shop scheduling Problem (FJSP) is a generalization of the classical Job Shop scheduling Problem (JSP) allowing to process operations on one machine out of a set of alternative machines. The FJSP is an NP-hard problem consisting of two sub-problems, which are the machine assignment and the operation scheduling problems. In this paper, we propose how to solve the FJSP by metaheuristics based on clustering in a holonic multiagent model. Firstly, a Neighborhood-based Genetic Algorithm (NGA) is applied by a scheduler agent for a global exploration of the search space. Secondly, a local search technique is used by a set of cluster agents to guide the research in promising regions of the search space and to improve the quality of the NGA final population. To evaluate our approach, numerical tests are made based on three sets of well known benchmark instances from the literature of the FJSP, which are Kacem, Brandimarte, Hurink. The experimental results show the efficiency of our approach in comparison to other approaches.

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“…Another holonic model named Hierarchical-Granularity Holonic Model (HGHM), developed in [5], combines local reactivity with a global system overview using an idea coming from sensor networks. The data sampled by a giving node gives local detailed observations.…”

Section: Holonic Models and Architectures For Hmesmentioning

confidence: 99%

Intelligent open architecture solutions for holonic manufacturing execution systems: Domain « key technologies for manufacturing» perspective

Varvara

2014

2014 IEEE International Conference on Automation, Quality and Testing, Robotics

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During the last decade, the Collaborative Manufacturing research domain has been associated with innovative solutions to challenges of modern manufacturing, namely dynamic changing of product catalog, distribution of resources, unexpected disturbances or heterogeneous manufacturing environments. They refer to interdisciplinary results covering all the production perspectives from organizational level -decentralization and autonomy, structural level -reconfigurable systems, and communication levelinteroperability. This paper makes an assessment of the most interesting achievements on the collaborative manufacturing, based on the IMS2020 project roadmap key research areas, presented on three emerging approaches: holonic organization for mechatronic control; agent-based implementation for distributed intelligent control; service-oriented communication for coordination, cooperation and collaboration. Some details about the role of intelligent products/resources are explicitly presented. Finally, some conclusions on the state of art in the domain are inferred and some future research challenges are identified.

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Hierarchical-granularity holonic modelling

Cited by 24 publications

References 93 publications

Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Metaheuristics based on Clustering in a Holonic Multiagent Model for the Flexible Job Shop Problem

Intelligent open architecture solutions for holonic manufacturing execution systems: Domain « key technologies for manufacturing» perspective

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Hierarchical-granularity holonic modelling

Cited by 24 publications

References 93 publications

Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Metaheuristics based on Clustering in a Holonic Multiagent Model for the Flexible Job Shop Problem

Intelligent open architecture solutions for holonic manufacturing execution systems: Domain &#x00AB; key technologies for manufacturing&#x00BB; perspective

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Intelligent open architecture solutions for holonic manufacturing execution systems: Domain « key technologies for manufacturing» perspective