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Computational Intelligence In Manufacturing Handbook P7

Computational Intelligence In Manufacturing Handbook P7

Computational Intelligence In Manufacturing Handbook P7

... An intelligent design retrieving system should aim toward a natural linking of thenext process planning and manufacturing stages. 7.2.4 Conducting Retrieval Tasks with a Certain Degree of Incomplete ... 044 design 045Chang, C. Alec et al " Intelligent Design Retrieving Systems Using Neural Networks" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et alBoca Raton: ... of engineering designs can be adapted in the research to represent a design. One major disadvantage of using image-based indexing is that thedisappearance of hidden features and internal lines...
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Computational Intelligence In Manufacturing Handbook P3

Computational Intelligence In Manufacturing Handbook P3

... holonicconcepts into a manufacturing setting: Holon: An autonomous and cooperative building block of a manufacturing system for transforming,transporting, storing, and/or validating information ... for Manufacturing: Identifying Holonic Structures Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et alBoca Raton: CRC Press LLC,2001 ©2001 CRC Press LLC asking ... is decomposed into manufacturing features(with corresponding machining operations).• Factory Manager(s) negotiates with resource agents for machining operations, awards machiningoperation...
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Computational Intelligence In Manufacturing Handbook P5

Computational Intelligence In Manufacturing Handbook P5

... Simulation of scheduling rules in a flexible manufacturing system using fuzzy logic, IEA-AIE96 Ninth International Conference on Industrialand Engineering Application of Artificial Intelligence and ... parts00.20.40.60.8100.20.40.60.81WIP in IB05 810Machine Utility7550 100% ©2001 CRC Press LLC • Minimizing lateness/tardiness• Minimizing makespan• Maximizing system/machine utilization• Minimizing WIP (work in process)• ... Dispatching Rules in FMSsThis section explains a fuzzy real-time routing selection and an intelligent decision-making tool usingfuzzy expert systems for machine loading in an FMS. In the complex...
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Computational Intelligence In Manufacturing Handbook P4

Computational Intelligence In Manufacturing Handbook P4

... components for cellular manufacturing, keepinga concurrent engineering framework in mind. It utilizes two middle layers, as shown in Figure 4.4.The inputs for the network include design features ... themselves. In the traditional part–machine incidence matrix, assuming binary values, sequence information isignored. To include sequence information, a sequence-based incidence matrix is introduced, ... cellular manufacturing (CM) systems. ANNs alsohold considerable promise, in general, for reducing complexity in logistics, and for streamlining andsynergistic regrouping of many operations in the...
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Computational Intelligence In Manufacturing Handbook P6

Computational Intelligence In Manufacturing Handbook P6

... for Finding the Optimum Process Routings for PartsThe aim of a cellular manufacturing system design is minimizing the cost of the system. It can be gainedby dividing the system into independent ... majorproblems in batch manufacturing systems. The improvement in productivity is therefore essential forindustries involved in batch manufacturing. Group technology is a manufacturing philosophy ... including parts, machines, and information into some groupsor subsystems. Introduction of group technology into manufacturing has many advantages, including areduction in flow time, work -in- process,...
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Computational Intelligence In Manufacturing Handbook P9

Computational Intelligence In Manufacturing Handbook P9

... engineering drawing. For machining, process planning includes determination ofthe specific operations required and their sequence, which include tooling, fixturing, and inspectionequipment. In ... crossover of two stringsInput: string-1 and string-2.Output: offspring-1 and offspring-2.1. Determine a cut point randomly from all the positions of a string. Each string is divided into twoparts, ... Machines?Cutters?Fixtures?Set-ups?MachiningfeaturesMachiningfeaturesOperations? Machines & Cutters? Fixtures & Set-ups?(a) Process planning in a linear manner.(b) Process planning...
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Computational Intelligence In Manufacturing Handbook P8

Computational Intelligence In Manufacturing Handbook P8

... slack = 114Lee, Yuan-Shin et al "Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations" Computational Intelligence in Manufacturing Handbook Edited by Jun ... applying parallelmachines in industrial manufacturing, only a handful of papers are found on sequencing machiningoperations for parallel machines [3, 22]. The combinatorial nature of sequencing ... variablesand 470 constraints. This clearly indicates that sequencing the parallel machining operations by usingconventional integer programming method could be computationally expensive and inefficient [4]....
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Computational Intelligence In Manufacturing Handbook P12

Computational Intelligence In Manufacturing Handbook P12

... of improving the product quality, increasing the effectevents in production, increasing autonomity and intelligence in manufacturing lines, reducing the reac-tion time of manufacturing systems, ... information processing tool for use in monitoring and control of manufacturing process. In most manufacturing processes, the role of the artificial neural network is to perform signal processing,pattern ... Cho, Hyung "Neural Network Applications to Manufacturing Processes: Monitoring and Control" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et alBoca Raton: CRC...
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Computational Intelligence In Manufacturing Handbook P11

Computational Intelligence In Manufacturing Handbook P11

... 100 revolutions per minute.7 Initial reading Initial viscosity (taken at 3 1/2 minutes).8 Build up Change in viscosity from initial reading (taken after 18 minutes)9 20 minute gelation Thixotropy ... Sarah et al "Predictive Process Models: Three Diverse Manufacturing Applications" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et alBoca Raton: CRC Press LLC,2001 ... Casting the slip in a plaster mold for a specified duration3. Removing the mold4. Air drying the cast piece5. Spray gazing the dried piece6. Firing the gazed piece in a kiln7. Inspecting...
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Computational Intelligence In Manufacturing Handbook P10

Computational Intelligence In Manufacturing Handbook P10

... manpower, money,machines, tools, materials, energy, and so on. Tasks can have a variety of interpretations from machiningparts in manufacturing systems up to processing information in computer systems. ... recent interest in using genetic algorithms to address theproblem. In the following sections, we explain how to solve them with genetic algorithms, includingresource-constrained project scheduling, ... the natural building blocks and intend to use such crossover to maintainbuilding blocks in offspring in much the same manner as Holland described. The method has the followingmajor steps: (i)...
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