FMS in CIM (Flexible Manufacturing Systems in Computer Integrated Manufacturing)

Robotica ◽  
1985 ◽  
Vol 3 (4) ◽  
pp. 205-214 ◽  
Author(s):  
Paul G. Ranky
Keyword(s):  
Data Processing ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Distributed Processing ◽  
Processing System ◽  
Computer Integrated Manufacturing ◽  
Test Assembly ◽  
Cad Cam ◽  
Machining Test ◽  
High Level

Computer Integrated Manufacture (CIM) is concerned with providing computer assistance, control and high level integrated automation at all levels of the manufacturing industries, including the business data processing system, CAD, CAM and FMS, by linking islands of automation into a distributed processing system. The technology applied in CIM makes intensive use of distributed computer networks and data processing techniques, Artificial Intelligence and Database Management Systems. FMS in this aspect plays the role of a highly efficient and “ready to react to random requests” manufacturing facility (e.g. machining, test, assembly, welding, etc.) in this “total concept”. (Figure 1)

A Modeling and Design Method for Flexible Manufacturing System Controller Software

1996 ◽  
Author(s):  
Paul C. Xirouchakis
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Design Method ◽  
Conveyor Belt ◽  
Computer Integrated Manufacturing ◽  
Concurrent Software ◽  
Material Transportation ◽  
Analysis Models ◽  
System Controller ◽  
And Storage

Abstract “Entity-life modeling” (ELM) is a general method for the modeling and design of concurrent software. One area where it can applied is for the control software for flexible manufacturing systems (FMS). The application of ELM allows the integration and overall control of the operation of the numerically controlled machinery, the material transportation and storage facilities into automated factories within the context of computer integrated manufacturing (CIM). The development of flexible manufacturing has been hampered by the lack of such a general approach to FMS software design. ELM is based on the principle that processes and objects in the software are patterned after concurrent “threads of events” and objects in the problem domain. A job in an FMS represents such a thread with events such as “pick from storage”, “place on stand”, etc., which all occur sequentially and with certain time intervals. Several job threads are in progress simultaneously as different jobs are being processed. In the software, a thread of events is represented by a process, such as an Ada task. The direct coupling between the analysis and an efficient control-system software implementation is an advantage over other analysis models, such as Petri nets. A simple FMS is used as an example. It consists of a storage facility and a number of numerically controlled workstations. A conveyor belt is used for the transportation of parts between storage and workstations and between workstations.

Expert Systems: Implications for Operations Management

1990 ◽  
Vol 90 (6) ◽  
pp. 12-16
Author(s):  
Yunus Kathawala
Keyword(s):  
Expert Systems ◽  
Process Design ◽  
Operations Management ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Control Process ◽  
Computer Integrated Manufacturing ◽  
Design Quality ◽  
Operations Planning

Several examples of successful expert systems applications are presented. Examples of expert systems as applied in process planning, operations planning, inventory control, process design, quality control and scheduling are covered, and the performance of these expert systems is described. Expert systems will become an essential part of computer‐integrated manufacturing (CIM) and flexible manufacturing systems (FMS) because they can perform several of the tasks mentioned above.

scholarly journals Cloud Computing Cloud Computing in Remote Sensing : High Performance Remote Sensing Data Processing in a Big data Environment

2021 ◽  
Vol 16 (6) ◽  
Author(s):  
Yassine Sabri ◽  
Aouad Siham
Keyword(s):  
Remote Sensing ◽  
Cloud Computing ◽  
Data Processing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Remote Sensing Data ◽  
Cloud Service ◽  
Intermediate Data ◽  
High Level

Multi-area and multi-faceted remote sensing (SAR) datasets are widely used due to the increasing demand for accurate and up-to-date information on resources and the environment for regional and global monitoring. In general, the processing of RS data involves a complex multi-step processing sequence that includes several independent processing steps depending on the type of RS application. The processing of RS data for regional disaster and environmental monitoring is recognized as computationally and data demanding.Recently, by combining cloud computing and HPC technology, we propose a method to efficiently solve these problems by searching for a large-scale RS data processing system suitable for various applications. Real-time on-demand service. The ubiquitous, elastic, and high-level transparency of the cloud computing model makes it possible to run massive RS data management and data processing monitoring dynamic environments in any cloud. via the web interface. Hilbert-based data indexing methods are used to optimally query and access RS images, RS data products, and intermediate data. The core of the cloud service provides a parallel file system of large RS data and an interface for accessing RS data from time to time to improve localization of the data. It collects data and optimizes I/O performance. Our experimental analysis demonstrated the effectiveness of our method platform.

Technology of Data Processing Systems

1980 ◽  
Vol 34 (1) ◽  
pp. 83-92
Author(s):  
F. H. Lochovsky
Keyword(s):  
Data Processing ◽  
Data Base ◽  
Distributed Processing ◽  
Processing System ◽  
Data Bank ◽  
Semiconductor Technology ◽  
Data Processing System ◽  
Bank Management ◽  
On Line ◽  
Different Parts

Several functional parts — hardware, software and techniques — of a data processing system can be identified. In this paper the current technology of these different parts is reviewed. The hardware has been greatly influenced in recent years by advances in semiconductor technology. Data bank management system (DBMS) technology has significantly affected the software aspects of data processing. Finally, on-line processing, distributed processing and data base administration techniques are being used to effectively apply current hardware and software technology.

A Manufacturing System for Advanced Multi-Process Manufacturing Based on Step-NC

2012 ◽  
Author(s):  
Matthieu Rauch ◽  
Jean-Yves Hascoet
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Practical Implementation ◽  
Simulation And Optimization ◽  
Industrial Manufacturing ◽  
Process Manufacturing ◽  
Cad Cam ◽  
Cnc Programming ◽  
High Level

Companies have to propose flexibility and interoperability in addition to robustness and efficiency to meet today demand of high customized products. The rise of high level object-oriented data models such as ISO 14649 — know as STEP-NC — enables manufacturing engineers to meet these requirements. In parallel, new manufacturing processes are now available. Theses processes, such as incremental sheet forming or cladding, are mature enough to be used in the industry. In addition to that, they are CNC controlled. They can be totally integrated into manufacturing data chains. It is consequently possible to use several processes on the same part and develop multi-process manufacturing approaches. Their success lies mainly upon the ability to select the best process with the best parameterization. The use of intelligent manufacturing systems is of great help to achieve this goal. The objective of this paper is to propose an intelligent manufacturing environment for multi-process manufacturing. Simulation and optimization approaches, advanced CNC programming methods are implemented in a coordinate way. Current CAD/CAM/CNC data chains limitations are overtaken by using STEP-NC. Finally, a practical implementation of such system is introduced. This experimental platform enables multi-process manufacturing with the industrial manufacturing equipment of the laboratory.

Design of Simulation Model for Production Scheduling in Flexible Manufacturing Systems

2011 ◽  
Vol 230-232 ◽  
pp. 814-818
Author(s):  
Bin Zeng ◽  
Rui Wang ◽  
Hong Yu Chen
Keyword(s):  
Simulation Model ◽  
Production Scheduling ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Computer Integrated Manufacturing ◽  
Computer Simulation Model ◽  
Mean Flow ◽  
Control Logic ◽  
Mean Flow Time

The complex interaction and the high costs of modern manufacturing systems make it necessary to evaluate their use performance. Production scheduling problem is one of the key problems of research of manufacturing systems since with a proper scheduling, the utilization of resources is optimized and orders are produced on time which improves the shop performance and associated cost benefits. However the complexity of modern production systems makes the use of analytical tools more difficult. Thus a computer simulation model of the existing computer integrated manufacturing system based on the control logic that describes the operation of the system is developed to test the performance of different scheduling rules with respect to mean flow time, machine efficiency and total run time as performance measures. According to the results of experiments, the model agrees with the real system.

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