Development  of  Flexible  Manufacturing System

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260004/03.jpg"" width=""200"" /> HVAC assembly line</span></div> Since Denso started its Flexible Manufacturing System (FMS) in the mid-1970s, we have continued to develop it in order to stay competitive in the face of market fluctuations. In this paper, we present a typical new production system that was developed at the end of the 20th century. One characteristic of this system is that it has a longer life and lower facility life cycle cost than do other production systems in existence. We think this system has high potential in terms of production innovations. Since one of the most important devices for FMS is the robot, we hope this paper will be a guide for new production systems and new device development. </span>

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Composing Robot Production Systems: Japan as a Flexible Manufacturing System

Environment and Planning A Economy and Space ◽

10.1068/a250923 ◽

1993 ◽

Vol 25 (7) ◽

pp. 923-944 ◽

Cited By ~ 19

Author(s):

J Patchell

Keyword(s):

Case Studies ◽

Flexible Manufacturing ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Production Systems ◽

Division Of Labour ◽

Social Division ◽

Social Divisions ◽

Specific Skill

In this paper, case-study evidence of the composition of four robot production systems is provided to reveal the linkages between local, regional, and national social divisions of labour. The relation-specific skill epitomizes the sophisticated procedures used to compose production systems, and the four case studies provide evidence of the communalities and varieties of these procedures. The geography of the interrelationships of the vertical divisions of labour of design-supplied suppliers and of the horizontal division of labour of design-approved suppliers is discussed. The cooperation and competition within this social division of labour allows Japan to function as a flexible manufacturing system.

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Modelling and Design of Closed-Loop Manufacturing Systems

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.378.367 ◽

2013 ◽

Vol 378 ◽

pp. 367-374 ◽

Cited By ~ 1

Author(s):

Andrey A. Kutin ◽

Mikhail Turkin

Keyword(s):

Analytical Method ◽

Flexible Manufacturing ◽

Manufacturing Systems ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Closed Loop ◽

Production Systems ◽

Finite Buffers ◽

Unreliable Machines

This paper introduces an analytical method for evaluating the performance of closed loop manufacturing systems with unreliable machines and finite buffers. The method involves transforming an arbitrary loop into one without thresholds and then evaluating the transformed loop using a new set of decomposition equations. It is more accurate than existing methods and is effective for a wider range of cases. The convergence reliability, and speed of the method are also discussed. In addition, observations are made on the behavior of closed loop production systems under various conditions. Finally, the method is used in a case study to design a flexible manufacturing system for production of aerospace parts.

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A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.404.631 ◽

2013 ◽

Vol 404 ◽

pp. 631-634 ◽

Cited By ~ 3

Author(s):

Lehel Csokmai ◽

Ovidiu Moldovan ◽

Ioan Constantin Tarca ◽

Radu Tarca

Keyword(s):

Flexible Manufacturing ◽

Manufacturing Systems ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Production Systems ◽

Error Recovery ◽

Intelligent Manufacturing ◽

Open Issue ◽

New Type ◽

Framework System

Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

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New Device and Technology for High Speed Hydroforming

MATEC Web of Conferences ◽

10.1051/matecconf/201819009001 ◽

2018 ◽

Vol 190 ◽

pp. 09001 ◽

Cited By ~ 2

Author(s):

Matthias Hermes ◽

Aynur Keskin ◽

Christoph Berlinger

Keyword(s):

Flexible Manufacturing ◽

High Speed ◽

Production Systems ◽

New Production ◽

Forming Limits ◽

Technical Data ◽

New Device ◽

Automated Production ◽

Sheet Metal Parts ◽

High Speed Forming

In the article a new production device is presented that combines the methodologies of high speed forming with conventional hydroforming. The result is a robust production system that can be easy controlled by the use of standard industrial components. The new system can be used as well for high automated production systems for mass production of small tubular and sheet metal parts as for the flexible manufacturing of workpieces with larger dimensions. The device is in principle a hydraulic driven high speed pressure generator that can be mounted directly on a hydroforming tool. Moreover, an additional drive for the axial feed of the tube is installed. In the paper the idea, the design of the device and the technical data is explained. Furthermore, the results of hydroforming experiments are presented and an overview on the specifications and the advantages of the new process is given. The strain rate is measured for an example workpiece and compared to the theoretical value. A first view on the forming limits is a further important topic of the paper. For the investigated copper tube, the forming limits are extended compared to a quasi-static hydroforming test.

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Perancangan Model Stacker Crane Flexible Manufacturing System untuk Pembelajaran di Institusi Pendidikan

Jurnal Rekayasa Sistem Industri ◽

10.26593/jrsi.v10i1.4258.45-54 ◽

2021 ◽

Vol 10 (1) ◽

pp. 45-54

Author(s):

Ari Setiawan

Keyword(s):

Flexible Manufacturing ◽

Material Handling ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Production Systems ◽

Educational Institution ◽

Transportation System ◽

Material Handling System ◽

Handling System ◽

Axis Direction

Flexible Manufacturing System (FMS) is one of the modern production systems that support the implementation of Industry 4.0. An educational institution plans to build an FMS model for learning the modern production systems. The FMS is a manufacturing system consisting of a set of automatic workstations connected to a material handling system where all activities are controlled by a computer system. The material handling system consists of a material storage system and a transportation system, one example of a transportation system is the stacker crane. In this research, the stacker crane model has been built which consists of three main components, which are the bottom frame, the mast, and the carriage. This component is equipped with stepper motors, leadscrews that are controlled by the micro controller and an application on Android. The stacker crane model is tested to retrieve and deliver the stereofoam material model to the destination which is controlled by the user using an application on Android. The characteristics of the stacker crane model can move the workpiece with a maximum error of 2 mm in the positive x-axis direction, 2 mm in the negative x-axis movement, up to 2 mm positive y-axis, downward at negative y-axis direction 2 mm.

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A Multi-Fidelity Model Approach for Simultaneous Scheduling of Machines and Vehicles in Flexible Manufacturing Systems

Asia Pacific Journal of Operational Research ◽

10.1142/s0217595918500057 ◽

2018 ◽

Vol 35 (01) ◽

pp. 1850005 ◽

Cited By ~ 3

Author(s):

James T. Lin ◽

Chun-Chih Chiu ◽

Edward Huang ◽

Hung-Ming Chen

Keyword(s):

Flexible Manufacturing ◽

Manufacturing Systems ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Production Systems ◽

Computational Cost ◽

Time Data ◽

Simultaneous Scheduling ◽

Fidelity Model ◽

Model Approach

Driven by sensor technologies and Internet of Things, massive real-time data from highly interconnected devices are available, which enables the improvement of decision-making quality. Scheduling of such production systems can be challenging as it must incorporate the latest data and be able to re-plan quickly. In this research, a multi-fidelity model for simultaneous scheduling problem of machines and vehicles at flexible manufacturing system has been proposed. In order to improve the computational efficiency, we extend the framework, called multi-fidelity optimization with ordinal transformation and optimal sampling, with combining with the K-means method. The proposed framework enables the benefits of both fast and inexpensive low-fidelity models with accurate but more expensive high-fidelity models. Results show that this approach can significantly decrease computational cost compared with other algorithms in the literature.

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