... cogeneration plants [Lara Rosano et al., 1996] • Configuring paper feeding mechanisms [Koo and Han, 1996] • Carrying out automatic remeshing during a finite-elements analysis of forging deformation [Yano ... Controlling a multi-fingered robot hand [Bas and Erkmen, 1995] Analysing the chemical composition of minerals [Da Rocha Fernandes and Cid Bastos, 1996] Determining the optimal formation of manufacturing ... examples in a rigid format (with known attributes and of known classes), inductive learning has found rather limited applicationsin engineering, as not many engineering problems can be described in...
... technology can be applied to manufacturing enterprise integration, supply chain management, intelligent design, manufacturing scheduling and control, material handling, and holonic manufacturing systems ... major changes in the production styles and configuration of manufacturing organizations Increasingly, traditional centralized and sequential manufacturing planning, scheduling, and control mechanisms ... resources and agents • The planning and scheduling domain plays an important role in integrating technological constraints with time-dependent constraints into a concurrent information-processing model...
... rules of scheduling model inan FMS, Computers in Industry, vol 22, 1-13 Watanabe, T 1990, Job shop scheduling using fuzzy logic in a computer integrated manufacturing environment, 5th International ... human expertise to schedule manufacturing systems [Baid and Nagarur 1994] Machine centers in FMSs have automatic tool-changing capability This means that a variety of machining operations can ... Scheduling in FMSs is different from scheduling in job shops or transfer lines In FMSs, utilization level of each machine can be different For example, if a machine is dedicated to packaging only and...
... Wasserman, D., 1989, Neural Computing — Theory and Practice, Van Nostrand Reinhold Zhang, H.-C and Huang, S.H., 1995, Applications of neural networks in manufacturing: A state-of-theart survey, Int ... forming part families, involving (1) seeding phase, (2) mapping phase, (3) training phase, and (4) assigning phase In the seeding phase, a few very distinct parts are chosen from the part domain ... design, Artificial Intelligence in Engineering, 5(1), 9-22 Currie, K.R., 1992, Anintelligent grouping algorithm for cellular manufacturing, Comp Ind Eng., 23(1): 109-112 Dagli, C and Huggahalli,...
... V and S Anand, (1995) Feature-based modelling approaches for integrated manufacturing: stateof-the-art survey and future research directions, International Journal of Computer Integrated Manufacturing, ... engineering designs can be adapted in the research to represent a design One major disadvantage of using image-based indexing is that the disappearance of hidden features and internal lines is inevitable ... natural linking of the next process planning and manufacturing stages 7.2.4 Conducting Retrieval Tasks with a Certain Degree of Incomplete Query Input Currently, users are required to specify initial...
... or subsystems Introduction of group technology into manufacturing has many advantages, including a reduction in flow time, work -in- process, and set-up time One of the most important applications ... cellular manufacturing system A cellular manufacturing system is a manufacturing system that is divided into independent groups of machine cells and part families so that each family of parts can be ... cellular manufacturing as follows: A manufacturing cell is a collection of dissimilar machines or manufacturing processes dedicated to a collection of similar parts and cellular manufacturing is...
... used include conventional machines (e.g., horizontal and vertical milling, drilling, and grinding) and CNC machining centers 9.2.2 The Process Planning Problem Given a part and a set of manufacturing ... strings Input: 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 ... GA and the SA Algorithm Conclusions 9.1 Introduction Process planning represents the link between engineering design and shop floor manufacturing More specifically, it is the function within a manufacturing...
... applying parallel machines in industrial manufacturing, only a handful of papers are found on sequencing machining operations for parallel machines [3, 22] The combinatorial nature of sequencing and ... X.H Shan, A.Y.C Nee and A.N Poo, Integrated application of expert systems and neural networks for machining operation sequencing, in Neural Networks inManufacturing and Robotics, Y.C Shin, A.H ... recent introduction of parallel machines (mill-turn machining centers) can greatly reduce the total machining cycle time required by the conventional sequential machining centers in manufacturing...
... only on-line monitoring and control schemes 12.2.1 Manufacturing Process Monitoring Product quality of most processes cannot be measurable inan on-line manner For instance, weld quality in the ... intelligence inmanufacturing lines, reducing the reaction time of manufacturing systems, and improving system reliability Therefore, in recent years, an explosion of interest that has occured in the ... Accordingly, the systems have to be capable of responding to the rapid changes and solving the complex problems that occur in various manufacturing steps The monitoring and control of manufacturing...
... use in the manufacturing plant 11.3 Abrasive Flow Machining Application Abrasive flow machining (AFM) was originally developed for deburring aircraft valve bodies It has many applicationsin the ... control, robotic control, and quality control Zhang and Huang [1995] provide a good overview of many manufacturingapplications Hussain [1999] discusses a variety of applicationsin chemical process ... IIE Transactions, 27, 374-381 Udo, G J., 1992, Neural Networks ApplicationsinManufacturing Processes, Computers and Industrial Engineering, 23 (1-4), 97-100 Wolpert, D H., 1993, Combining Generalizers...
... process In modern manufacturing systems, the problem can be classified into two tpes: variant MPP and generative MPP [Chang and Wysk, 1985] In the variant MPP, a family of components of similar manufacturing ... For an n-job m-machine scheduling problem, each gene (any random key) consists of two parts: an integer in set {1,2, … ,m} and a fraction generated randomly from (0.1) The integer part of any random ... optimal schedule where jobs in the set T of the dominant machine are in nondecreasing order of weights while jobs in the set E of the dominant machine are in nonincreasing order of weights for most...
... calculate the lower and upper approximations, during which the training data set is split into certain training data set and possible training data set Subsequently, these training sets are forwarded ... Advanced Manufacturing, in press Mrozek, A 1992 Rough Sets in Computer Implementation of Rule-Based Control of Industrial Process InIntelligent Decision Support — Handbook of Applications and Advances ... 89-95 Quinlan, J R 1992 C4.5: Programs for Machine Learning Morgan Kaufmann, San Mateo, CA Slowinski, K 1992 Rough Classification of HSV Patients InIntelligent Decision Support — Handbook of Applications...
... network model for detecting changes in the process mean, Computers and Industrial Engineering, 28(1), 51-61 Crowder, S T and Hamilton, M D (1992) An EWMA for monitoring a process standard deviation, ... j in the hidden and output layers, contains the input links with weights wij, an activation function (or transfer function) f, and output links to other nodes as shown in Figure 18.4 Assuming ... a δ is the mean shift magnitude in σ as defined in Table 18.1 and ρ is the variance shift magnitude in σ as defined in Table 18.3 18.6 Final Remarks In this chapter, we introduced an alternative...
... rapid learning, and more importantly, gives equal importance to all the outputs in the network during the learning process (eliminating the undue in uence of differing amplitudes and ranges of ... training the network (as discussed in Section 17.2.1.2) and the remaining subset for testing, repeating the training process S times, holding out a different subset for each run, and totaling ... manufacturing or operation costs; however, when the levels of certain others are changed, the manufacturing and/or operation costs might change (these factors that in uence the manufacturing cost...
... cutting industries to reduce manufacturing costs by eliminating the relatively inefficient off-line quality control aspect of surface roughness inspection Therefore, reductions inmanufacturing ... review, in addition to communication with leading private industrial research and development laboratories in the state of Iowa (including Winnebago Co in Forest City; Delavan Inc in Des Moines; ... by manually inspecting machined surfaces at fixed intervals A surface profilometer containing a contact stylus is used in the manual inspection procedure This procedure is both time-consuming and...
... modern manufacturing industries, so most manufacturing systems are fast converting to fully automated environments such as computer integrated manufacturing (CIM) and flexible manufacturing systems ... 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 typical ... and Yuan, Z., 1997, On-Line Tool Condition Monitoring System with Wavelet Fuzzy Neural Network, Journal of Intelligent Manufacturing, vol 8, no 4, pp 271-276 Lou, K.-N and Lin, C.-J., 1997, Intelligent...
... 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 diagnosing manufacturing processes, ... Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Sets 14.4 Application Examples 14.5 Conclusions Abstract Monitoring and diagnosis play an important role in modern manufacturing engineering ... meanings, such as fault detection, fault prediction, inprocess verification, on-line inspection, identification, and estimation Monitoring and diagnosing play a very important role in modern manufacturing...
... improved the manufacturing process on each of the four productivity metrics investigated Because of the large number of steps involved, maintaining product quality inan IC manufacturing facility ... in this study One such trade-off can be visualized in two-dimensional contour plots such as those in Figures 13.13 and 13.14 Figure 13.13 plots training error against training tolerance and initial ... These include increasing chip fabrication yield, reducing product cycle time, maintaining consistent levels of product quality and performance, and improving the reliability of processing equipment...
... 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 ... including machine-cell and part-family formation for cellular manufacturing systems; (2) modeling, planning, and scheduling of manufacturing processes; (3) monitoring and control of manufacturing processes; ... work -in- process inventory, investment in material handling, and setup time, thus resulting inan increase of productivity vital to survive inan increasingly competitive environment and changing...
... Furthermore, Envelope Analysis is an algorithm to translate a signal into Intrinsic Mode Functions (IMF) and gain instantaneous frequency data The new design combines these two algorithms and proposes ... motivation and enthusiasm, which help me in my study and life in Singapore Finally, I would like to sincerely thank my friends and family for their endless, unconditional, and dedicated love and constant ... detection and diagnosis of induction motors and electromechanical systems, analyzing vibration data features and studying and comparing related algorithm, and targeting at a robust and highly accurate...