Formal methods for reconfigurable assembly systems

Ribeiro, Tiago; Gonçalves, Gil

doi:10.1109/etfa.2010.5641248

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…It is expected that a typical Manufactron may be added to a Manufactronic factory by just plugging an additional device into (Ribeiro & Gonçalves, 2010).…”

Section: The Xpress Approachmentioning

confidence: 99%

Designing and implementation of an intelligent manufacturing system

Peschl

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Hoffmeister

et al. 2011

JIEM

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Abstract:Purpose: The goal of XPRESS is to establish a breakthrough for the factory of the future with a new flexible production concept based on the generic idea of "specialized intelligent process units" ("Manufactrons") integrated in cross-sectoral learning networks for a customized production. XPRESS meets the challenge to integrate intelligence and flexibility at the "highest" level of the production control system as well as at the "lowest" level of the singular machine.Design/methodology/approach: Architecture of a manufactronic networked factory is presented, making it possible to generate particular manufactrons for the specific tasks, based on the automatic analysis of its required features. Findings:The manufactronic factory concept meets the challenge to integrate intelligence and flexibility at the "highest" level of the production control system as well as at the "lowest" level of the singular machine. The quality assurance system provided a 100% inline quality monitoring, destructive costs reduced 30%-49%, Practical implications:This concept is demonstrated in the automotive and aeronautics industries, but can be easily transferred to nearly all production processes. Using the manufactronic approach, industrial players will be able to anticipate and to respond to rapidly changing consumer needs, producing highquality products in adequate quantities while reducing costs.Originality/value: Assembly units composed of manufactrons can flexibly perform varying types of complex tasks, whereas today this is limited to a few predefined tasks. Additionally, radical innovations of the manufactronic networked factory include the knowledge and responsibility segregation and trans-sectoral process learning in specialist knowledge networks.

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“…It is expected that a typical Manufactron may be added to a Manufactronic factory by just plugging an additional device into (Ribeiro & Gonçalves, 2010).…”

Section: The Xpress Approachmentioning

confidence: 99%

Designing and implementation of an intelligent manufacturing system

Peschl

Link

Hoffmeister

et al. 2011

JIEM

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“…Monitoring and control: From this perspective (i.e., at run-time or production execution), researchers have considered a reconfiguration as a possible solution enabling the use of the flexibility of the system to manage disturbances, disruptions, and risks. It is worth mentioning that only very few authors have tackled the configuration from this perspective [16].…”

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confidence: 99%

A Multi-Criteria Decision Framework Considering Different Levels of Decision-Maker Involvement to Reconfigure Manufacturing Systems

et al. 2020

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Reconfigurable Manufacturing Systems (RMSs) rely on a set of technologies to quickly adapt the manufacturing system capacity and/or functionality to meet unexpected disturbances, such as fluctuation/uncertainty of demand and/or unavailability/unreliability of resources. At the operational stage, such disturbances raise new production requirements and risks, which call upon Decision-Makers (DMs) to analyze the opportunity to move from a running configuration to another more competitive one. Such a decision is generally based on an evaluation of a multitude of criteria, and several multi-criteria decision-making (MCDM) approaches have been suggested to help DMs with the reconfiguration process. Most existing MCDM approaches require some assignment of weights to the criteria, which is not a trivial task. Unfortunately, existing studies on MCDM for an RMS have not provided guidelines to weigh the evaluation criteria. This article fills in this gap by offering a framework to set up such weights. We provide a comprehensive set of quantitative indicators to evaluate the reconfiguration decisions during the operation of the RMS. We suggest three weighting methods that are convenient to different levels of DM expertise and desired degree of involvement in the reconfiguration process. These weighting methods are based on (1) intuitive weighting, (2) revised Simos procedural weighting combined with the Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS), and (3) DM independent weighting using ELECTRE IV. The implementation of the suggested framework and a comparison of the suggested methods carried out on an industrial case study are described herein.

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“…It is expected that a typical manufactron may be added to a manufactronic factory by just plugging an additional device into the factory's network. Therefore, the manufactron shall be realized as an independent piece of implementation rather than a very distributed entity, where a lot of different fractions of the entity are to be integrated into different systems of the factory, as to be the enterprise resource planning (ERP) and the manufacturing execution systems (MES) system of different kinds of programmable logic controller (PLC) systems (Ribeiro, 2010).…”

Section: Fig 1 Different Perspectives For Manufactron Definitionmentioning

confidence: 99%

A proposition of a manufactronic network approach for intelligent and flexible manufacturing systems

Almeida¹,

Dias

Gonçalves³

et al. 2011

IJIEC

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The XPRESS project introduces a completely new scalable concept of a manufactronic networked factory, which is composed by a co-ordinated team of specialized autonomous objects (Manufactrons), each knowing how to do a certain process optimally. This knowledge based concept integrated the complete chain: production configuration (decrease of ramp-up time of at least 50%), multi-variant production line (varying types and volumes on a single line) and 100% quality monitoring. The manufactronic networked architecture allows continuous process improvement, and will be able to anticipate and to respond to rapidly changing consumer needs, producing high-quality products in adequate quantities while reducing costs. This concept is demonstrated in the automotive, aeronautics and electrical industry but can be transferred to nearly all production processes.

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Formal methods for reconfigurable assembly systems

Cited by 4 publications

References 16 publications

Designing and implementation of an intelligent manufacturing system

Designing and implementation of an intelligent manufacturing system

A Multi-Criteria Decision Framework Considering Different Levels of Decision-Maker Involvement to Reconfigure Manufacturing Systems

A proposition of a manufactronic network approach for intelligent and flexible manufacturing systems

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