Academic literature on the topic 'Computer-Aided planning'

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Journal articles on the topic "Computer-Aided planning"

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Svensson, H. A. "28 Computer-Aided Planning." Prehospital and Disaster Medicine 8, S3 (1993): S90. http://dx.doi.org/10.1017/s1049023x00047440.

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XIAOQING, TANG, and B. J. DAVIES. "Computer aided dimensional planning." International Journal of Production Research 26, no. 2 (1988): 283–97. http://dx.doi.org/10.1080/00207548808947859.

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Roy, Geoffrey G., and Folke Snickars. "Computer-aided regional planning." Annals of Regional Science 26, no. 1 (1992): 79–95. http://dx.doi.org/10.1007/bf01581482.

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Henrioud, J. M., and A. Bourjault. "Computer Aided Assembly Process Planning." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 206, no. 1 (1992): 61–66. http://dx.doi.org/10.1243/pime_proc_1992_206_056_02.

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A method allowing a systematic generation of assembly plans for mechanical products is presented. It involves a product modelling that includes non-assembly relevant features like labelling, checking, etc. Assembly plans are represented by assembly trees and are produced through interactive software written in PROLOG. An analysis of assembly constraints is also presented with a distinction between operative constraints dealing with the feasibility of the operations involved in the different assembly plans and the strategic constraints dealing with the global structure of the plans. An automatic transformation of the resulting assembly plans into one or several precedence graphs is given as well as a generalization of the classic precedence graphs in precedence hypergraphs able to represent disjunctive precedence conditions.
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Sadeghpour, Farnaz, Osama Moselhi, and Sabah T. Alkass. "Computer-Aided Site Layout Planning." Journal of Construction Engineering and Management 132, no. 2 (2006): 143–51. http://dx.doi.org/10.1061/(asce)0733-9364(2006)132:2(143).

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Karaki, Sami, Mithqal Sartawi, Anan Hamdan, and Najah Al-Hafi. "Computer aided power transmission planning." Electric Power Systems Research 9, no. 2 (1985): 133–39. http://dx.doi.org/10.1016/0378-7796(85)90030-6.

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Spector, Leonard. "Computer-Aided Dental Implant Planning." Dental Clinics of North America 52, no. 4 (2008): 761–75. http://dx.doi.org/10.1016/j.cden.2008.05.004.

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Klosterman, Richard E. "The politics of computer-aided planning." Town Planning Review 58, no. 4 (1987): 441. http://dx.doi.org/10.3828/tpr.58.4.l45wt05130416rn6.

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Umar, Amjad. "Computer Aided Planning for Wireless Systems." International Journal of Business Data Communications and Networking 8, no. 1 (2012): 56–67. http://dx.doi.org/10.4018/jbdcn.2012010104.

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Information and communication technology (ICT) managers in the modern enterprises face a bewildering array of decisions regarding planning of new systems, integration of new systems with existing ones, securing the ICT assets, and administrating the resulting complex ICT systems. The rapid introduction of wireless systems (mobile computing and wireless communications) in the business and government settings is further exasperating the situation, particularly in the developing countries. A Computer Aided Planner (Planner), part of the UN eNabler Toolset, has been developed to quickly and effectively produce detailed strategic plans for a wide range of egovernment services with particular attention to wireless systems. This paper presents a high level overview of this effort.
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Seliger, G., V. Gleue, H. J. Heinemeier, and S. Kruger. "Computer Aided Planning of Assembly Systems." IFAC Proceedings Volumes 23, no. 3 (1990): 613–18. http://dx.doi.org/10.1016/s1474-6670(17)52627-0.

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Dissertations / Theses on the topic "Computer-Aided planning"

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Kobliha, Bohumil Augustin. "Computer aided factory layout planning (CAFLAP)." Thesis, Middlesex University, 1988. http://eprints.mdx.ac.uk/6472/.

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This Thesis addresses Factory Layout Problems, and reviews and evaluates the available layout techniques. Manufacturing as a system has been studied and reclassified for factory layout: space demands and spatial relationships have been considered as main principles of Factory Layout Planning. This forms a basis for the introduction of a new, more efficient Factory Layout Planning Methodology, denoted as SPACE MANAGEMENT. A new COMPUTER AIDED FACTORY LAYOUT PLANNING system is formulated as a tool for: - preparing 3-D templates of Work Station Modules and Equipment Modules; - drawing a requested interior of an industrial hall/bay in 3-D; - positioning any 'objects1 (spaces), via manual interactive programs i n 3-D; - automatic positioning of work stations and equipment in the bay, in 'technological' order (in 3-D), using an automatic positioning program, with a facility for: collision course finding(with objects within the bay), manual override for corrections, and finding an optimum size (width) of the bay. The resulting layout scene can be observed from any required Position and distance. The system includes a set of auxiliary programs for Manual Feeding of lines of work stations in 'technological' order and for basic capacity calculations. CAFLAP also opens a new way of economic evaluation of Projects and alternatives. CAFLAP is implemented in FORTRAN 77 and uses the Computer Graphics System PICASO.
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Cooper, S. M. "Computer aided mine surveying and planning." Thesis, University of Nottingham, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381205.

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Patil, Dilip Madhusudan. "Feature based computer aided process planning." Thesis, University of Warwick, 1995. http://wrap.warwick.ac.uk/110865/.

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This research attempts to study, plan and develop an integrated feature based CAPP system that generates automated process plans for machining prismatic components. The CAPP system comprises a STEP compliant feature based commercial CAD system and the Smalltalk object oriented system. A library of features has been developed that is based on STEP based form feature taxonomy but modified to communicate the manufacturing intent and feature aggregation. The CAPP system has been developed to represent the product, process and resource domain knowledge with a number of object hierarchies, communication methods, and the user interface that would suit the concurrent engineering needs. In addition, suitable geometric and process reasoning methods have been developed in the CAPP system that use the feature based component design data to generate automated process plans. The research also attempts to identify the problems in feature based process planning and discusses the possible solutions. A solution to the side feature interaction problem has been implemented in the CAPP system. The CAPP system test results have demonstrated that the proposed approach has been successful and has a great potential for further improvements in terms of flexibility, modularity, emerging data exchange standards, and case in customising the CAPP system.
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Yang, Yihong. "Integrated quality control planning in computer-aided manufacturing planning." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-041607-164054/.

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Thesis (Ph. D.)--Worcester Polytechnic Institute.<br>Keywords: In-process inspection; tolerance assignment; tolerance stack-up analysis; quality control planning. Includes bibliographical references (leaves 136-148).
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Nakamura, Yoshihiko, Takayuki Kitasaka, Kensaku Mori, and Yasuhito Suenaga. "COMPUTER AIDED DIAGNOSIS FOR ABDOMINAL SURGICAL PLANNING." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10470.

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Magill, W. R. "A generative Computer Aided Process Planning system." Thesis, University of Newcastle Upon Tyne, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328585.

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Kitano, Akira. "A prototype computer-aided assembly planning system." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14059.

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Sermsuti-Anuwat, Yongyooth. "Computer-aided process planning and fixture design (CAPPFD)." Thesis, University of Canterbury. Mechanical Engineering, 1992. http://hdl.handle.net/10092/7692.

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This thesis describes a computer program for process planning and fixture design. It utilizes the principles of workpiece control, in particular dimensional and geometric control, to sequence the machining operations and to design the 3-2-1 location systems. The system developed uses the matrix spatial representation, a series of two-dimensional arrays, to describe the workpiece geometry. The system is capable of sequencing three types of machined features requiring milling operations: plane surfaces, slots, and steps. These features may be regarded as two-dimensional type: they can be completely specified dimensionally in two orthogonal projection views. Other data required by the system include the surfaces to be machined, cutting conditions, dimensions and tolerances of the stock and of the finished part. These data are either interactively input into the system or stored in a prepared data file for the system to read. The outputs include the process picture showing all locating surfaces in the 3-2-1 location system for each operation, and a set of three tolerance charts for analysing all dimensions of the machined part. The results of this research indicate that the automatic machining sequence planning can be achieved through the implementation of the concept of workpiece control together with the practicality in machining a machined feature. The research also emphasises a significant role of the tolerance charts which have been used in manual process planning for a long time, but have not yet been exploited to its full advantage in computerised process planning. Regarding tolerance charts, the research has developed a new method for calculating tolerance stacks which can be used for computerized as well as manual charting. The ideas presented in the report could be applied to the systems using a commercial solid modelling package.
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Rodrigues, Luiz Henrique Antunes. "CAP-DAIRY : computer aided planning of dairy farms." Thesis, Cranfield University, 1995. http://dspace.lib.cranfield.ac.uk/handle/1826/7708.

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A linear programming (LP) model has been developed (CAP-DAIRY) to describe the grass utilisation and feeding system on a dairy farm. It links several components of the system and optimizes the system as a whole. The model links a grass utilisation model, a feed ration model and a novel model which relates on-going milk yield to on-going feeding level. The main feature of the model is the approach adopted to relate feeding levels, milk yield and weight changes. When cows are fed more than they require for maintenance and the current level of milk yield, the excess energy becomes increased bodyweight and cause an increase in milk yield. When fed less than they require, they mobilize reserves into energy for milk production and lose weight and tend to reduce milk yield. At the start of the lactation some weight loss is tolerated. This is treated in the model as a requirements for up to 0.5 kg/day weight loss in addition to maintenance so that a lower weight loss is the increase case. A linear mathematical model that represents this mechanism was developed and incorporated into the LP and fitted to data which changed the level of feeding of dairy cows during the lactation. This gives a greater flexibility to the LP and allows the model to determine optimal feeding levels at all stages of the lactation and as a consequence optimal milk yields and optimal stages for weight changes, which vary depending on calving date and feed availability The grass utilisation model permits the successive utilisation of grass for grazing or silage making. Grazing can take place two, three or four weeks after the previous use and silage making five, six or seven weeks after the previous use. To allow for the effect of silage making on regrowth, use after this is delayed by one week. Data on energy and dry matter yields at any time is required and the model determines the optimum schedule of use and frequency. Silage is made in a number of separate silos but the feeding-out energy value makes the model non-linear. This is solved by using a recursive approach in which the initially unknown feeding value is calculated from successive solutions and the model reoptimized to convergence. The feed ration model determines the amount of grass, silage and concentrates required based on the maximum dry matter intake, which is a function of yield and the energy required for maintenance, milk yield and any weight change. The model could be easily extended to also use protein given suitable data. The LP determines the optimal land use for forage and cash crops, calving pattern and feeding strategy according to specific farm conditions such as farm area, milk quota and availability of forage maize. Several scenarios were studied and the effects of changes of different parameters analysed. Results indicated that net margins increased with maize crop areas and gave higher optimum milk yields replacing concentrates up to an optimum area of maize. The seasonality of milk prices affected particularly calving pattern and milk yield and the results suggested they led to more even milk production due to encouraging Autumn calving. Results also showed that the optimal feeding levels is different for cows calving in different periods of the year resulting in different weight change pattern and milk yields. Spring calving cows lost more weight than cows calving in any other period, but regained the weight lost quickly. They also produced the lowest level of milk. Autumns calving cows had the highest milk yield and the lowest weight losses, although a longer period to regain that weight was optimal. Summer calving cows produced slightly less milk and lost slightly more weight than Autumn cows. Another important aspect that results showed was the influence that maize silage has on farm decisions. The larger the maize crop area the higher the marginal price of milk quota, showing that milk quota constraint was more severe for those cases and consequently higher prices for extra milk quota could be paid. CAP-DAIRY is suitable for analysing the impact that changes such as milk prices, fertilizer prices or concentrates prices would cause on the optimal plans. The model is also helpful to evaluate research priorities by analysing the effects caused by biological and technical changes such as grass varieties and machinery.
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Lord, Patrick Jean. "Computer aided intertrochanteric osteotomy planning and surgery simulation." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/33814.

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Books on the topic "Computer-Aided planning"

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Wang, Hsu-Pin. Computer-aided process planning. Elsevier, 1991.

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Computer-aided assembly planning. Chapman & Hall, 1992.

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Delchambre, A. Computer-aided Assembly Planning. Springer Netherlands, 1992.

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Al-Ahmari, Abdulrahman. Computer-Aided Inspection Planning. CRC Press, 2016. http://dx.doi.org/10.1201/9781315181561.

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Delchambre, A. Computer-aided Assembly Planning. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2322-8.

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Wang, Hsu-Pin. Computer-aided process planning. Elsevier, 1991.

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Luiz S. Homem de Mello. Computer-Aided Mechanical Assembly Planning. Springer US, 1991.

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Homem de Mello, Luiz S., and Sukhan Lee, eds. Computer-Aided Mechanical Assembly Planning. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-4038-0.

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Kobliha, Bohumil Augustin. Computer aided factory layout planning (CAFLAP). Middlesex Polytechnic, Faculty of Engineering, Science and Mathematics, 1988.

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Patil, D. Feature based computer aided process planning. typescript, 1995.

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Book chapters on the topic "Computer-Aided planning"

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Roy, Geoffrey G., and Folke Snickars. "Computer-aided regional planning." In Geographic Information Systems, Spatial Modelling and Policy Evaluation. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77500-0_12.

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Linn, Richard J. "Computer-aided assembly planning." In Integrated Product, Process and Enterprise Design. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6383-9_10.

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ElMaraghy, Hoda, and Aydin Nassehi. "Computer-Aided Process Planning." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35950-7_6551-4.

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Hoffmann, R. W. "Computer-Aided Synthesis Planning." In Elements of Synthesis Planning. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-79220-8_9.

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ElMaraghy, Hoda, and Aydin Nassehi. "Computer-Aided Process Planning." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-20617-7_6551.

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ElMaraghy, Hoda A., and Aydin Nassehi. "Computer-Aided Process Planning." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-53120-4_6551.

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Kochan, D. "Computer-Aided Production Planning." In CAM. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70272-3_5.

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Halevi, Gideon, and Roland D. Weill. "Computer-aided process planning (CAPP)." In Principles of Process Planning. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-1250-5_15.

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Mikac, T. "Computer Aided Manufacturing Systems Planning." In Advanced Manufacturing Systems and Technology. Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2678-3_34.

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Suhl, Leena. "Airline Planning and Scheduling." In Computer-Aided Scheduling. Deutscher Universitätsverlag, 1995. http://dx.doi.org/10.1007/978-3-663-08316-0_2.

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Conference papers on the topic "Computer-Aided planning"

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Fuh, Jerry Y., Chao-Hwa Chang, Michel A. Melkanoff, and Hsin Rau. "CAFP: Computer-Aided Fixture Planning." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0078.

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Abstract Fixture planning is an indispensable part of a manufacturing process planning routine. This paper introduces a rational approach to computer-aided fixture planning (CAFP). A method of fixture classification and selection is introduced for planning of modular fixtures. The location of each fixture component is determined according to the common fixturing principles. We has developed a prototype CAFP system and linked to a commercial CAD system, namely CADAM. Modular fixture elements are automatically selected by the system, and the generated fixture layout can be displayed on-screen after assembly. For verification and optimization of a fixturing scheme, a fixture analysis module is also developed. An iteration method is used to solve the fixturing constraint equations and to determine the adequate clamping forces for holding the workpiece during machining processes.
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Kang, Xiumei, and Qingjin Peng. "Computer-Aided Fixture Planning: A Review." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49139.

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Fixture planning is a complex activity restricted by the extreme diversity of workpieces and constraints of design geometry, part accessibility, working force, and component deformation. This paper reviews major approaches to computer-aided fixture planning (CAFP). Geometry methods, kinematical analysis, force analysis, deformation analysis, case-base reasoning, fixture assembly planning, feature-based methods, rule-based methods and optimization methods are surveyed. The CAFP systems are summarized as CAD-based systems and Web-based systems. Some promising research areas are identified in respect of fixture design, assembly planning and virtual fixture planning.
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Böttcher, Peter D. P. "Computer-Aided Methods for Operations Planning." In 26th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2009. http://dx.doi.org/10.22260/isarc2009/0025.

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Garyaev, P. N. "Computer-Aided Zoning and Urban Planning." In 2014 International Conference on Computing in Civil and Building Engineering. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413616.201.

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Dutta-Roy, Kunal, Santanu Barua, and Adel Heiba. "Computer-Aided Gas Field Planning and Optimization." In SPE Production Operations Symposium. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/37447-ms.

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Yi, Yaxing, Zhongke Li, Suyuan Wei, Fanglin Deng, and Sen Yao. "Orthodontics: computer-aided diagnosis and treatment planning." In Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, edited by Hong Liu and Qingming Luo. SPIE, 2000. http://dx.doi.org/10.1117/12.403952.

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Mahalingam, Ashwin, Harikesh S. Nair, and Koshy Varghese. "A Computer-Aided Heavy Lift Planning Model." In Eighth International Conference on Computing in Civil and Building Engineering (ICCCBE-VIII). American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40513(279)129.

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Bernard, Alain. "Computer-aided process planning for rapid prototyping." In Photonics East '99, edited by Bhaskaran Gopalakrishnan and San Murugesan. SPIE, 1999. http://dx.doi.org/10.1117/12.359505.

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Huang, J., T. I. Van Niekerk, D. Hattingh, and E. F. Du Preez. "Computer-aided process planning-an object oriented structure." In 1999 IEEE Africon. 5th Africon Conference in Africa. IEEE, 1999. http://dx.doi.org/10.1109/afrcon.1999.820950.

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Li, Bin, Dongqing Chen, Eric Smouha, and Zhengrong Liang. "Computer-aided surgical planning for congenital aural atresia." In Medical Imaging 2000, edited by Seong K. Mun. SPIE, 2000. http://dx.doi.org/10.1117/12.383065.

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Reports on the topic "Computer-Aided planning"

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Wright, J. The Computer Aided System for Planning Efficient Routes. Purdue University, 1994. http://dx.doi.org/10.5703/1288284313329.

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Burke, J. A. Computer aided process planning conceptual design and functional specification. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5920663.

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Humphrey, Watts S. CASE (Computer-Aided Software Engineering) Planning and the Software Process. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219066.

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Young, H. L., and M. R. Gluse. The Application of Computer-Aided Process Planning to Ship Modernization, Overhaul and Repair. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada453494.

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