A Case Study of Intelligent Manufacturing Control Based on Multi-agents System to Deal with Batching and Sequencing on Rework Context

Zimmermann, Emmanuel; Haouzi, Hind Bril El; Thomas, Philippe; Pannequin, Rémi; Noyel, Mélanie; Thomas, André

doi:10.1007/978-3-319-73751-5_6

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Some industries are willing to use these techniques and some SOHOMA articles describe applications of PDS via some case studies in the manufacturing industry [25], [26].…”

Section: 1mentioning

confidence: 99%

Intelligent Products through SOHOMA Prism

Derigent

McFarlane

El-Haouzi

2021

Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future

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In the framework of the SOHOMA 2020 special session "SOHOMA 10 th -year anniversary", this paper aims to make a review of the evolution of one important concept studied in the SOHOMA community, namely the Intelligent Product concept. This paper is not review of Intelligent Products -there are several of these already -but rather examines the history of the development of this concept through the 1 st to 9 th editions of SOHOMA, while also proposing future developments on this concept.

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“…Some industries are willing to use these techniques and some SOHOMA articles describe applications of PDS via some case studies in the manufacturing industry [25], [26].…”

Section: 1mentioning

confidence: 99%

Intelligent Products through SOHOMA Prism

Derigent

McFarlane

El-Haouzi

2021

Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future

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“…Various clustering analysis are presented in different research, however, previous research such as in [16] highlighted that k-means is more appropriate for the supply chain management than other techniques.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Multi-Level Predictive WKM_ID3 Algorithm, Toward Enhancing Supply Chain Management in Healthcare Field

Khedr,

Alsahafi,

Idrees

2023

IEEE Access

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This research proposes a multi-level predictive algorithm based on the k-means algorithm with multiple adaptations. The research highlights the main limitations of k-means and proposes a set of adaptations that enhance the clustering task results in accuracy with minimal centroid distance error. The study proposes three enhancements in selecting the number of clusters, identifying the initial point, and exploring the contributing features set. Moreover, prediction is performed through a multi-level paradigm targeting performance enhancement by following the partitioning approach. The research experimental study focused on applying the proposed algorithm to the healthcare supply chain as it is one of the most influential factors for health services delivery. The proposed algorithm is applied to a dataset that is offered by USAID which includes 31622 records with 104 attributes. The proposed algorithm aims to predict the valued information in the supply chain progress such as predicted delivery time, predicted delay time, and other vital attributes. The data source is the USAID dataset; however, the research utilized the dataset for multiple objectives in vital aspects prediction of the healthcare supply chain with an average accuracy of 97.45%.

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“…Zimmermann have identified the necessity to master the material and information flows and the importance of keeping these flows flexible and adaptable to the market demand as being the main challenges of this new consuming habits [3]. In fact, these challenges can be considered as secondary for many companies: the main challenge would be to adapt an old complex and rigid pre-existing industrial tool to new production methods.…”

Section: Introductionmentioning

confidence: 99%

Toward an Anthropocentric Approach for Hybrid Control Architectures: Case of a Furniture Factory

Valette

El-Haouzi

Demesure

et al. 2018

Service Orientation in Holonic and Multi-Agent Manufacturing

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Typology of goods and services' consumption has changed. In order to adapt to this change, it is relevant for a company to turn toward new ways of production and management. Slowly, the concept of industry 4.0 starts to set up in manufacturing companies. Research on hybrid control systems favours achieving automated and flexible production system through "jidoka" (or autonomation) and Just In Time principles. Still, studies stay mainly techno-centred rather than anthropocentric. Parisot company suffers today of a lack of reactivity to its market and of a production tool maladjusted to customer's consumption habits. This article aims to sum up the company's current situation, and to introduce the thesis project that intends to back it through its economic, technological and sociological transition toward a flexible, adaptive and sustainable human-centered manufacturing system.

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A Case Study of Intelligent Manufacturing Control Based on Multi-agents System to Deal with Batching and Sequencing on Rework Context

Cited by 7 publications

References 17 publications

Intelligent Products through SOHOMA Prism

Intelligent Products through SOHOMA Prism

A Proposed Multi-Level Predictive WKM_ID3 Algorithm, Toward Enhancing Supply Chain Management in Healthcare Field

Toward an Anthropocentric Approach for Hybrid Control Architectures: Case of a Furniture Factory

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