modeling planning and scheduling of manufacturing processes
Tài liệu Computational Intelligence In Manufacturing Handbook P1 docx
... weight of O and the natural frequencies of vibration of the dynamic system comprising O, P, and C are measured and processed using a mathematical model of the system to determine xG, yG, and γ ... • Identifying and planning inspection schedules for critical components of an offshore structure [Peers et al., 1994] • Training technical personnel in the design and evaluation of energy cogeneration ... 0.8, and 1.0 are the grades of membership to the given fuzzy set of temperature ranges below 10°C (above 30°C), between 10°C and 16°C (24°C to 30°C), between 16°C and 18°C (22°C to 24°C), and...
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Computational Intelligence In Manufacturing Handbook P3
... 1998), and Agent-Based Manufacturing Scheduling (Shen and Norrie 1998) An overview of these projects with a summary of techniques and mechanisms developed during these projects and a discussion of ... forward/backward scheduling, simulation scheduling, and intelligent scheduling Scheduling is performed by job, by resource, and by operation Scheduling decisions are made to minimize costs over time and production ... changes in the production styles and configuration of manufacturing organizations Increasingly, traditional centralized and sequential manufacturing planning, scheduling, and control mechanisms are...
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Computational Intelligence In Manufacturing Handbook P5
... importance of i and j Between equal and weak importance of i over j Weak importance of i over j Between weak and strong importance of i over j Strong importance of i over j Between strong and demonstrated ... production scheduling problems by Rachamadugu and Stecke [1988] and Gupta et al [1990], the most extensively studied scheduling criteria are minimization of flow time and maximization of system ... Selection of Routing and Part Dispatching Using Membership Functions and Fuzzy Expert System-Based Rules 5.1 Introduction In design of a flexible manufacturing system (FMS), different combinations of scheduling...
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Computational Intelligence In Manufacturing Handbook P4
... features, and (2) systematic exploitation of these similarities in every phase of manufacturing operation [Burbidge, 1963; Suresh and Kay, 1998] Figure 4.1 provides an overview of various elements of ... Design and Manufacturing Features The application of neural networks based on design and manufacturing features can be placed within the contexts of part family identification, engineering design, and ... on the basic operation of three-layer feedforward networks and back-propagation learning rule, the reader is referred to standard works of Wasserman [1989] and McClelland and Rumelhart [1988] The...
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Computational Intelligence In Manufacturing Handbook P7
... part/machine classification and coding can be found in Part B of Group Technology and Cellular Manufacturing: State -of- the-Art Synthesis of Research and Practice, edited by Nallan C Suresh and John M Kay ... approaches for integrated manufacturing: stateof-the-art survey and future research directions, International Journal of Computer Integrated Manufacturing, 8(6):411-440 Bahrami, A and C.H Dagli, (1993) ... methodology based on deep models of features, Journal of Intelligent Manufacturing, 6(4):245-262 Lin, Z.-C and H Chang, (1996) Application of fuzzy set theory and back-propagation neural networks...
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Computational Intelligence In Manufacturing Handbook P6
... follows: A manufacturing cell is a collection of dissimilar machines or manufacturing processes dedicated to a collection of similar parts and cellular manufacturing is said to be in place when a manufacturing ... is the number of machines in each cell, C is the number of cells, and MCSc(i, j) is the MCS coefficient between machines i and j in cell c Since the number of cells and the number of machines within ... Introduction 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...
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Computational Intelligence In Manufacturing Handbook P9
... order of these OPTs in string-2 Copy the left side of string-2 to form the left side of offspring-2 The right side of offspring-2 is constructed by the OPTs in the right side of string-2 and their ... cut point Copy the left side of string-1 to form the left side of offspring-1 The right side of offspring-1 is constructed by the OPTs in the right side of string-1 and their sequence is reorganized ... Output: string-1 and string-2 offspring-1 and offspring-2 Determine a cut point randomly from all the positions of a string Each string is divided into two parts, the left side and the right side,...
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Computational Intelligence In Manufacturing Handbook P8
... design specifications into manufacturing processes, and computer-aided process planning (CAPP) uses computers to automate the tasks of process planning The recent introduction of parallel machines ... presented our study of the optimal planning and sequencing for parallel machining operations The combinatorial nature of sequencing and the complication of having precedence and mode constraints ... performance of the proposed GA, the number of mutations was increased from one to two in each of the above settings (see Figures 8.10 and 8.11) From Figures 8.10 and 8.11, it is noticed that mutations of...
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Computational Intelligence In Manufacturing Handbook P12
... capable of responding to the rapid changes and solving the complex problems that occur in various manufacturing steps The monitoring and control of manufacturing processes is one of the important manufacturing ... variance of torque, x4 = mean of torque in retraction stroke, x5 = mean of thrust force, x6 = covariance of torque and force, x7 = correlation of torque and thrust force, x8 = correlation of torque and ... approach this problem and are shown to offer great promise, especially in monitoring and control of manufacturing processes In this chapter the characteristics of the manufacturing processes were analyzed...
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Computational Intelligence In Manufacturing Handbook P11
... hydraulic extrusion pressure Median of media flow rate Range of media temperature Range of part temperature Standard deviation of volume of media extruded Number of parts machined prior to the current ... estimate of the generalization ability of the application network Tables 11.2 and 11.3 summarize the mean absolute errors (MAE) and root mean squared errors (RMSE) of the validation and application ... Drawing of an engine manifold • Media flow rate through the manifold • Number of cycles of the AFM machine piston Media conditions: • Temperature of the media • Temperature of the manifold • Number of...
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Computational Intelligence In Manufacturing Handbook P10
... Job-Shop Scheduling Problem In the job-shop scheduling problem, we are given a set of jobs and a set of machines Each machine can handle at most one job at a time Each job consists of a chain of operations, ... are four basic patterns of ordering relations of them wi Ն wj and pi Ն pj wi Ն wj and pi Ͻ pj wi Ͻ wj and pi Ն pj wi Ͻ wj and pi Ͻ pj We just need to examine pattern and pattern 2, because for ... resource-constrained project scheduling, parallel machine scheduling, job-shop scheduling, multistage process planning, and part loading scheduling problem 10.2 Resource-Constrained Project Scheduling Problem...
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Tài liệu Computational Intelligence In Manufacturing Handbook P19 doc
... the ratio of peak amplitudes in bands ‘2X’ and ‘1X’ A3: the ratio of peak amplitudes in bands ‘3X’ and ‘1X’ A4: the ratio of peak amplitudes in bands more than ‘4X’ and ‘1X’ A5: mode of vibration ... condition of the targeted equipment These attributes are defined as follows A0: the ratio of peak amplitudes in bands less than ‘1X’ and ‘1X’ A1: the ratio of peak amplitudes in band ‘1X’ and its ... Easy to understand • Easy to interpret and analyse • Easy to validate and cross-check 19.5 Application of RClass* to Manufacturing Diagnosis The diagnosis of critical equipment in a manufacturing...
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Tài liệu Computational Intelligence In Manufacturing Handbook P18 pdf
... the sample mean of x, x, is approximately normal distributed, i.e., N(µ, σ2/n) where µ and σ are the mean and standard deviation of x, respectively, we can collect n observations of a QC, calculate ... Performances of Chang and Gan’s (1995) CUSUM and Crowder and Hamilton’s (1992) EWMA are not significantly better than Page’s (1963) CUSUM; however, their development of design strategies and procedures ... charts in terms of both type I and type II errors, while Pugh’s and Smith’s charts have larger type I errors than that of the 3σ X chart Further, Chang and Aw’s scheme has the advantage of identifying...
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Tài liệu Computational Intelligence In Manufacturing Handbook P17 doc
... [1991] and Himmel and May [1993] The primary focus of their papers is on efficient and effective modeling of plasma etching processes using statistical response surface models and artificial neural ... Journal of Quality Technology, vol 28, pp 153-162 Rietman, E A and Lory E R., 1993, Use of Neural Networks in Modeling Semiconductor Manufacturing Processes: An Example for Plasma Etch Modeling, ... possible variants of the basic GA, the fundamental underlying mechanism operates on a population of individuals, is relatively standard, and consists of three operations [Liepins and Hilliard, 1989]:...
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Tài liệu Computational Intelligence In Manufacturing Handbook P16 pptx
... combination of cutting parameters: four levels of spindle speed (S = 750, 1000, 1250, and 1500 rpm); four levels of feed rate (F = 6, 12, 18, and 24 in./min); and three levels of depth of cut (D ... M and DeVries, W., 1989, A model of the geometry of the surface generated in end milling with variable process inputs, in Mechanics of Deburring and Surface Finishing Processes, J R Stango, and ... (16.24) the degree of the spindle speed variable, the degree of the feed rate variable, the degree of the depth of cut variable, the degree of the vibration variable, the degree of the surface roughness...
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Tài liệu Computational Intelligence In Manufacturing Handbook P15 pdf
... (FMS) However, many manufacturing processes involve some aspects of metal cutting operations The most crucial and determining factor to successful maximization of the manufacturing processes in any ... constituent part of the AE signal at the frequency band The mean values of the constituent parts of the AE signal of each frequency band can be represented by the energy level of the AE signal ... S and Lindustrom, B., 1989, Monitoring and Adaptive Control of Cutting Process by Means of Motor Power and Current Measurements, Annals of the CIRP, vol 38, no 1, pp 347-350 30 Mannan, M A and...
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Tài liệu Computational Intelligence In Manufacturing Handbook P14 doc
... degree of g/g′ is [0.3, 0.7] 14.3 Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Sets 14.3.1 Using Fuzzy Systems to Describe the State of a Manufacturing Process For monitoring and ... Process For monitoring and diagnosing manufacturing processes, two types of uncertainties are often encountered: the uncertainty of occurrence and the uncertainty of appearance A typical example is ... 14.3.2 A Unified Model for Monitoring and Diagnosing Manufacturing Processes Although manufacturing processes are all different, it seems that the task of monitoring and diagnosing always takes a similar...
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Tài liệu Computational Intelligence In Manufacturing Handbook P13 docx
... model of time to failure in electrical and mechanical components and systems When a system is composed of a number of components and failure is due to the most serious of a large number of possible ... Optimization The problem of optimizing network structure and learning parameters has been addressed by Kim and May [1994] for plasma etch modeling and Han and May [1996] in modeling plasma-enhanced ... structure of the network can be modified by adjusting the number of layers and the number of neurons per layer As a result, the optimal network structure and values of network parameters for a given modeling...
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Tài liệu Computational Intelligence In Manufacturing Handbook P2 docx
... Services 2.5 2.6 Introduction Modeling and Design of Manufacturing Systems Modeling, Planning, and Scheduling of Manufacturing Processes Monitoring and Control of Manufacturing Processes Quality Control, ... (1) modeling and design of manufacturing systems, including machine-cell and part-family formation for cellular manufacturing systems; (2) modeling, planning, and scheduling of manufacturing processes; ... planning, and scheduling of manufacturing processes; monitoring and control of manufacturing processes; quality control, quality assurance, and fault diagnosis This paper presents a survey of existing...
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Application of computational intelligence for faulty detection and diagnosis of induction motors and electromechanical systems
... signal, and N is the length of this signal; Re x[ ] and Im x[ ] represent real part and imagine part of frequency domain, respectively N/2+1 is the length of these signals The MATLAB source code of ... detection and diagnosis of induction motors and electromechanical systems faults The principle of signatures analysis of Envelope Analysis is using wavelet analysis to find fault signal band and envelope ... components, and finally finds the fault band and diagnoses defect information of fault induction motors and electromechanical systems 3.2.2 Definition of Hilbert Transformation Theory of Hilbert...
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