A new reengineering methodology for the product-driven system applied to the medication-use process

Huet, Jean-Charles; Paris, Jean; Kouiss, Khalid; Gourgand, Michel

doi:10.1016/j.dss.2012.10.018

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…Finally, a ConWip method is used at the bottleneck station, it returns Kanban Card to Order Holon and closes the loop. The use of holarchy and System of Systems SoS concept [35] in SUDIHA architecture allows for the creation of a more complex system from simpler ones. The high-level Order Holons can launch a production order at the cell level of the CIM Pyramid, while the low-level Order Holons carry out tasks at the device level.…”

Section: Sudiha Proposed Holonic Architecturementioning

confidence: 99%

Digital Twin Based SUDIHA Architecture to Smart Shopfloor Scheduling

Khadiri

Sekkat

Herrou

2023

JMMP

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Standing on the brink of the fourth industrial revolution, Cyber Physical Systems (CPS) are considered the basic components of the Smart Factory. One important challenge in cyber physical production systems is dynamic scheduling that can handle random disruptions such as failures, raw material shortages and quality defects. To achieve dynamic scheduling, we have proposed a Supervised and Distributed Holonic architecture we called SUDIHA. This architecture incorporates three Holons: Product Holon, Resource Holon and Order Holon and combines global supervision, achieved by Product Holon, with dynamic local control, achieved by Resource Holon. The Digital Twin (DT) concept is generally used to design CPS; it is virtual copies of the system that can interact with the physical counterparts in a bi-directional way. It seems to be promising to tackle the complexity and increase manufacturing system flexibility. In this paper, we use a DT Model to improve the SUDIHA architecture. We propose a Digital Twin based SUDIHA architecture (DT-SUDIHA). The paper will describe Digital Twins’ configuration of each Holon of the SUDIHA Architecture, and the intelligent and real time data driven operation control of this architecture. A case study is carried out at the ENSAM-Meknes flexible workshop to prove the effectiveness of the proposed approach.

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Section: Sudiha Proposed Holonic Architecturementioning

confidence: 99%

Digital Twin Based SUDIHA Architecture to Smart Shopfloor Scheduling

Khadiri

Sekkat

Herrou

2023

JMMP

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“…The machines are for example able to negotiate and establish their own planning in order to decide whether they accept the contract to be established by an order [59]; • Products: many works in the last decade were focused on the activity of the product all along the production phase [60][61][62]. Meanwhile, several parallel directions lead to the concept of "Intelligent Product" [63][64][65][66][67], where the product was the trigger and a true actor of the all the decisions that were dynamically taken during the production thanks to storing and processing capabilities that are physically implemented on the product himself. This concept is now globally replaced by a more cooperative one, where the product can still be a carrier of information or of some distributed intelligence, but is rarely alone in the system.…”

Section: Intelligence Depositmentioning

confidence: 99%

Classification of cyber-physical production systems applications: Proposition of an analysis framework

Cardin

2019

Computers in Industry

106

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Cyber-physical systems have encountered a huge success in the past decade in several scientific communities, and specifically in production topics. The main attraction of the concept relies in the fact that it encompasses many scientific topics that were distinct before. The downside is the lack of readability of the current developments about cyber-physical production systems (CPPS). Indeed, the large scientific area of CPPS makes it difficult to identify clearly and rapidly, in the various applications that were made of CPPS, what are the choices, best practices and methodology that are suggested and that could be used for a new application. This work intends to introduce an analysis framework able to classify those developments. An extensive study of literature enabled to extract the major criteria that are to be used in the framework, namely: Development Extent; Research Axis; Instrumenting; Communication standards; Intelligence deposit; Cognition level; Human factor. Several recent examples of CPPS developments in literature are used to illustrate the use of the framework and brief conclusions are drawn from the comparative analysis of those examples.

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