Reconfiguration Decision-Making of IoT based Reconfigurable Manufacturing Systems

With the recent diversification of demands, manufacturing systems that can respond to multiple types of goods have become more important. In this circumstance, reconfigurable manufacturing systems (RMSs) that can provide flexible manufacturing with limited machine tools through reconfiguration have gained a lot of attention. As an RMS supports flexibility through layout reconfiguration, reconfiguration decision-making is very important and difficult. The development of IoT technology has made it possible to collect hidden information inside systems. This study focused on the reconfiguration decision-making system with the data acquisition system based on IoT technology. The decision-making system detected a reconfiguration situation and built a reconfiguration plan using the data collected by IoT sensors. The performance of the algorithm proposed in this study was verified in a simulation experiment. It was found that the algorithm had a stable performance under various reconfigurable situations. It is expected that the proposed system will help to improve the performance of RMS.

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Degradation-aware decision making in reconfigurable manufacturing systems

CIRP Annals ◽

10.1016/j.cirp.2019.04.065 ◽

2019 ◽

Vol 68 (1) ◽

pp. 431-434 ◽

Cited By ~ 1

Author(s):

Xingyu Li ◽

Aydin Nassehi ◽

Bogdan I. Epureanu

Keyword(s):

Decision Making ◽

Manufacturing Systems ◽

Reconfigurable Manufacturing Systems ◽

Reconfigurable Manufacturing

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Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems

at - Automatisierungstechnik ◽

10.1515/auto-2014-1157 ◽

2015 ◽

Vol 63 (10) ◽

Cited By ~ 39

Author(s):

Julius Pfrommer ◽

Denis Stogl ◽

Kiril Aleksandrov ◽

Stefan Escaida Navarro ◽

Björn Hein ◽

...

Keyword(s):

Machine Tools ◽

Manufacturing Systems ◽

Reconfigurable Manufacturing Systems ◽

Reconfigurable Manufacturing ◽

Specific Product ◽

Logistics Systems ◽

Fixed Set ◽

Service Oriented ◽

Lot Sizes ◽

High Level

AbstractShortening product lifecycles and small lot sizes require manufacturing systems to adapt increasingly fast. Many existing machine tools, handling and logistics systems provide a generic functionality that is not bound to a specific product. But this flexibility and reconfigurability on the level of individual resources is lost in automated systems that are limited to the production of a fixed set of product variants. We propose a unified abstraction for the skills provided by the available resources and the product-specific manufacturing requirements. From these high-level descriptions, executable manufacturing procedures are derived, exposed as services and dynamically orchestrated at runtime in order to achieve the manufacturing goals.

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Optimizing the Reconfiguration of Machining Desktop Micro-Factory Based on Scheduling Simulation

Handbook of Research on Managerial Strategies for Achieving Optimal Performance in Industrial Processes - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-0130-5.ch023 ◽

2016 ◽

pp. 494-517

Author(s):

Roberto Pérez ◽

José Eduardo Márquez ◽

Arturo Molina ◽

Miguel Ramírez-Cadena ◽

Ricardo Del Risco ◽

...

Keyword(s):

Machine Tools ◽

Manufacturing Systems ◽

Production Systems ◽

Sustainable Growth ◽

The Novel ◽

Reconfigurable Manufacturing Systems ◽

Reconfigurable Manufacturing ◽

Scheduling Optimization ◽

New Findings ◽

Micro Machine

Today, the micro-factory concept of downsizing production systems is essential to manufacturing small products in sustainable growth. Concerning this, this paper presents the developments accomplished during the recent years at Tecnológico de Monterrey (Mexico) and Holguin University (Cuba) introducing new findings related to the design of reconfigurable micro-factories based-on micro-machine tools. The chapter discusses the proposed framework for the optimizing the development of micro-factories in the context of micro-reconfigurable manufacturing systems based-on micro-reconfigurable machine tools. The novel methodology for optimizing the scheduling of reconfigurable micro-factories were exposed and a scheduling optimization of a reconfigurable micro-factory prototype was designed and tested.

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