Computational Intelligence In Manufacturing Handbook P8
Computational Intelligence In Manufacturing Handbook P8
... Lee, Yuan-Shin et al "Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations" Computational Intelligence in Manufacturing Handbook Edited by Jun ... 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 ... workholding location on a machine tool. D EFINITION 2 (Machining Unit (MU)): MU refers to a toolholding location on a machine tool. D EFINITION 3 (Parallel Machine P ( I, L )) : P ( I, L ) is a machine...
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Computational Intelligence In Manufacturing Handbook P3
... holonic concepts into a manufacturing setting: Holon: An autonomous and cooperative building block of a manufacturing system for transforming, transporting, storing, and/or validating information ... be applied to manufacturing enterprise integration, supply chain management, intelligent design, manufacturing scheduling and control, material handling, and holonic manufacturing systems. 3.2 ... floor is, in general, assigned with one Execution Mediator. 3.3.5 Clustering and Cloning in MetaMorph II Clustering and cloning approaches for manufacturing scheduling were developed during the...
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Computational Intelligence In Manufacturing Handbook P5
... Minimizing lateness/tardiness • Minimizing makespan • Maximizing system/machine utilization • Minimizing WIP (work in process) • Maximizing throughput • Minimizing average flow time • Minimizing ... Dispatching Rules in FMSs This section explains a fuzzy real-time routing selection and an intelligent decision-making tool using fuzzy expert systems for machine loading in an FMS. In the complex ... option, the following goals are to be achieved: 1. Minimizing number of jobs in queue. 2. Minimizing job allocation cost. 3. Minimizing lead time through the system. 4. Balancing machine utilization....
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Computational Intelligence In Manufacturing Handbook P4
... components for cellular manufacturing, keeping a concurrent engineering framework in mind. It utilizes two middle layers, as shown in Figure 4.4. The inputs for the network include design features ... cellular manufacturing (CM) systems. ANNs also hold considerable promise, in general, for reducing complexity in logistics, and for streamlining and synergistic regrouping of many operations in the ... designed) cellular manufacturing systems include: • Reduced manufacturing lead times and work -in- process inventories • Reduced material handling • Simplified production planning and control • Greater...
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Computational Intelligence In Manufacturing Handbook P7
... Chang, C. Alec et al " Intelligent Design Retrieving Systems Using Neural Networks" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et al Boca Raton: ... An intelligent design retrieving system should aim toward a natural linking of the next process planning and manufacturing stages. 7.2.4 Conducting Retrieval Tasks with a Certain Degree of Incomplete ... of 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...
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Computational Intelligence In Manufacturing Handbook P6
... cellular manufacturing system that can be considered individually or combinatorially. The design objectives may include minimizing intercellular movements, minimizing set-up time, minimizing machine ... routings, finding the most suitable routings among parts’ alternative routings, grouping machines into machine groups, and forming parts into part families dedicated to the machine groups. In the ... including parts, machines, and information into some groups or subsystems. Introduction of group technology into manufacturing has many advantages, including a reduction in flow time, work -in- process,...
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Computational Intelligence In Manufacturing Handbook P9
... crossover of two strings Input: 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 two parts, ... surface finish. The machines 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 ... (D-OPT) is introduced, which is defined as an operation incurring no machining cost and having no effects in terms of machine, set-up, and tool changes. By adding the dummy operation into the sets...
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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
... Diverse Manufacturing Applications" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et alBoca Raton: CRC Press LLC,2001 ©2001 CRC Press LLC gathered, and more information ... 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 ... 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
... Gen Ashikaga Institute of TechnologyCheng, Runwei et al "Production Planning and Scheduling Using Genetic Algorithms" Computational Intelligence in Manufacturing Handbook Edited ... 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, ... 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....
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