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Computational Intelligence In Manufacturing Handbook P5
In design of a flexible manufacturing system (FMS), different combinations of scheduling rules can be applied to its simulation model. Each combination satisfies a very limited number of performance measures (PM). Evaluation of scheduling rules is an inevitable task for any scheduler. This chapter explains a framework for evaluation of scheduling using pair-wise comparison multi-criterion decision-making techniques and fuzzy set theory.
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Computational Intelligence In Manufacturing Handbook P6
Batch manufacturing is a dominant manufacturing activity in many industries due to the demand for product customization. The high level of product variety and small manufacturing lot sizes are the major
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Computational Intelligence In Manufacturing Handbook P7
Design is a process of generating a description of a set of methods that satisfy all requirements. Generally speaking, a design process model consists of the following four major activities: analysis of a problem, conceptual design, embodiment design, and detailing design. Among these, the conceptual design stage is considered a higher level design phase, which requires more creativity, imagination, intuition, and knowledge than detail design stages. Conceptual
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Computational Intelligence In Manufacturing Handbook P8
Parallel machines (mill-turn machining centers) provide a powerful and efficient machining alternative to the traditional sequential machining process. The underutilization of parallel machines due to their operational complexity
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Computational Intelligence In Manufacturing Handbook P9
Process planning represents the link between engineering design and shop floor manufacturing. More specifically, it is the function within a manufacturing facility that establishes the processes and process parameters to be used in order to convert a piece-part from its original form to a final form
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Computational Intelligence In Manufacturing Handbook P10
Production scheduling problems concern the allocation of limited resources over time to perform tasks to satisfy certain criteria. Resources can be of a very different nature, for example, manpower, money, machines, tools, materials, energy, and so on. Tasks can have a variety of interpretations from machining parts in manufacturing systems up to processing information in computer systems. A task is usually
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Computational Intelligence In Manufacturing Handbook P11
Introduction to Neural Network Predictive Process Models In a broad sense, predictive models describe the functional relationship between input and output variables of a data set. When dealing with real-world manufacturing applications, it is usually not an easy task to precisely define the set of input variables that potentially affect the output variables for a particular process. Oftentimes, this is
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Computational Intelligence In Manufacturing Handbook P12
The nature of today’s manufacturing systems is changing with greater speed than ever and is becoming tremendously sophisticated due to rapid changes in their environments that result from customer demand and reduced product life cycle. Accordingly, the systems have to be capable of responding to the rapid changes and solving the complex problems that occur in various manufacturing
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Computational Intelligence In Manufacturing Handbook P13
New knowledge and tools are constantly expanding the range of applications for semiconductor devices, integrated circuits, and electronic packages. The solid-state computing, telecommunications, aerospace, automotive and consumer electronics industries all rely heavily on the quality of these methods and processes. In each of these industries, dramatic changes are underway. In addition to increased performance, next-generation computing is increasingly being performed by portable, hand-held computers. A...
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Computational Intelligence In Manufacturing Handbook P14
Monitoring and diagnosis play an important role in modern manufacturing engineering. They help to detect product defects and process/system malfunctions early, and hence, eliminate costly consequences. They also help to diagnose the root causes of the problems in design and production and hence minimize production loss and at the same time improve product quality. In the past decades, many monitoring and diagnosis methods have been developed, among which the
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Computational Intelligence In Manufacturing Handbook P15
To reduce operating costs and improve product quality are two objectives for the modern manufacturing industries, so most manufacturing systems are fast converting to fully automated environments such as computer integrated manufacturing (CIM) and flexible manufacturing systems (FMS). However, many manufacturing processes involve some aspects of metal cutting operations. The most crucial and determining factor to successful
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Computational Intelligence In Manufacturing Handbook P16
Different machining processes produce different products with varying qualities. When evaluating the quality of a finished piece, surface roughness is the most important result of the machining process to consider, because many product attributes can be determined by how well the surface finish is produced. The quality of the surface finish, or surface roughness, affects several
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Computational Intelligence In Manufacturing Handbook P17
Besides aggressively innovating and incorporating new materials and technologies into practical, effective, and timely commercial products, in recent years, many industries have begun to examine new directions that they must cultivate to improve their competitive position in the long term. One thing that has become clearly evident is the need to push the quality issue farther and farther upstream so that it
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Computational Intelligence In Manufacturing Handbook P18
A hybrid neural fuzzy system is proposed to monitor both process mean and variance shifts simultaneously. One of the major components of the proposed system is composed of several feedforward neural networks that are trained off-line via simulation data. Fuzzy sets are also used to provide decision-making capability on uncertain neural network output. The hybrid control chart provides an alternative to
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Computational Intelligence In Manufacturing Handbook P19
Inductive learning or classification of objects from large-scale empirical data sets is an important research area in artificial intelligence (AI). In recent years, many techniques have been developed to perform inductive learning. Among them, the decision tree learning technique is the most popular.
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Computer-Aided.Design.Engineering.and.Manufacturing P1
In recent years, the worldwide competition and the growing demand for a high variety of products have emphasized the role of production systems. In particular the FMSs are of increasing importance because they have the capability to face changes in production environment and to combine the efficiency of the mass-production lines with the flexibility of job-shops producing a variety of products in small- or medium-size batches. In any FMS, control software plays a key role since it can allow optimization of both hardware (numerically controlled machines, material handling devices, buffers, etc.) and software (information flow, data base content, etc.)....
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Computer-Aided.Design.Engineering.and.Manufacturing P2
Tham khảo tài liệu 'computer-aided.design.engineering.and.manufacturing p2', kỹ thuật - công nghệ, tự động hoá phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
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Computer-Aided.Design.Engineering.and.Manufacturing P3
Process planning was traditionally considered as manufacturing preparation that provides manufacturing methods and operation instructions. When computer aided process planning (CAPP) was first attempted in the early 1960s [Neibel, 1965; Schenk, 1966], it emerged as a vital link between computer aided design (CAD) and computer aided manufacturing (CAM). Today process planning has become an important part in computer integrated manufacturing (CIM) environment [Zhang and Alting, 1993; Larsen, 1993; Gulesin and Jones, 1994]....
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Computer-Aided.Design.Engineering.and.Manufacturing P4
In this section, the concept of an integrated knowledge-based machining system is described. A software tool, GOLDWORKS TM [Gold Hill, 1989] with COMMON LISP as the programming platform, is used for the development work. The software tool requires Microsoft Windows ® in a PC which can be feasibly deployed in a wide range of industries.
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Computer-Aided.Design.Engineering.and.Manufacturing P5
Set-up planning is the task of organizing and determining a sequence necessary to make the features in certain workpiece orientations. It is a pivotal step in automated process planning as it greatly influences machine and tool selections, machining sequences, and fixture configurations. This paper reviews the methodologies and techniques in the development of computer-aided set-up planning systems.
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Computer-Aided.Design.Engineering.and.Manufacturing P6
Tham khảo tài liệu 'computer-aided.design.engineering.and.manufacturing p6', kỹ thuật - công nghệ, tự động hoá phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
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Computer-Aided.Design.Engineering.and.Manufacturing P7
Tham khảo tài liệu 'computer-aided.design.engineering.and.manufacturing p7', kỹ thuật - công nghệ, tự động hoá phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
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Computer-Aided.Design.Engineering.and.Manufacturing P8
Tham khảo tài liệu 'computer-aided.design.engineering.and.manufacturing p8', kỹ thuật - công nghệ, tự động hoá phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
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Control System Simulation using Matlab and Simulink
Inductive learning or classification of objects from large-scale empirical data sets is an important research area in artificial intelligence (AI). In recent years, many techniques have been developed to perform inductive learning. Among them, the decision tree learning technique is the most popular.
8/29/2018 5:20:09 PM +00:00
Electronics and Circuit Analysis using MATLAB Part 1
MATLAB is a numeric computation software for engineering and scientific calculations. The name MATLAB stands for MATRIX LABORATORY. MATLAB is primarily a tool for matrix computations. It was developed by John Little and Cleve Moler of MathWorks, Inc. MATLAB was originally written to provide easy access to the matrix computation software packages LINPACK and EISPACK.
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Electronics and Circuit Analysis using MATLAB P2
Normally, when single line commands are entered, MATLAB processes the commands immediately and displays the results. MATLAB is also capable of processing a sequence of commands that are stored in files with extension m. MATLAB files with extension m are called m-files. The latter are ASCII text files, and they are created with a text editor or word processor. To list m-files in the current directory on your disk, you can use the MATLAB command what. The MATLAB command, type, can be used to show the contents of a specified file. M-files can either be script files or function files....
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Data Communication Basic Concepts
Data communications is the set of products. concepts, and services that enable the connection of computing systems. In this context, a “computing system” can be a source of information or information processing or a medium allowing an information user to access such a source. The “connection” ma’ be one that explicitlv t’
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Digital and Analog Electronic Design Automation
The field of design automation (DA) technology, also commonly called computer-aided design (CAD) or computer-aided engineering (CAE), involves developing computer programs to conduct portions of product design and manufacturing on behalf of the designer. Competitive pressures to produce more efficiently new generations of products having improved function and performance are motivating the growing importance of DA. The increasing complexities of microelectronic technology, shown in Fig. 34.1, illustrate the importance of...
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Digital Signal Processing P1
MONSON H. HAYES is a Professor of Electrical and Computer Engineering at the Georgia Institute of Technology in Atlanta, Georgia. He received his B.A. degree in Physics from the University of California, Berkeley, and his M.S.E.E. and Sc.D. degrees in Electrical Engineering and Computer Science from M.I.T. His research interests are in digital signal processing with applications in image and video processing. He has contributed more than 100 articles to journals and conference proceedings, and is the author of the textbook Statistical Digital Signal Processing and Modeling, John Wiley & Sons, 1996. He received the IEEE Senior Award for the...
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Digital Signal Processing Handbook P1
THESTUDYOF“SIGNALSANDSYSTEMS” has formeda cornerstone for the development of digital signal processing and is crucial for all of the topics discussed in this Handbook. While the reader is assumed to be familiar with the basics of signals and systems, a small portion is reviewed in this chapter with an emphasis on the transition fromcontinuous time to discrete time. The reader wishing more background may find in it any of the many fine textbooks in this area, for example [1]-[6].
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