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Journal articles on the topic 'Process and Product Modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Smith, Robert P., and Jeffrey A. Morrow. "Product development process modeling." Design Studies 20, no. 3 (May 1999): 237–61. http://dx.doi.org/10.1016/s0142-694x(98)00018-0.

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2

Araki, Katsufumi, Katsuya Terashima, Makoto Senoo, and Jun Kanie. "2314 Product and Process Modeling for Product Development." Proceedings of Design & Systems Conference 2010.20 (2010): _2314–1_—_2314–5_. http://dx.doi.org/10.1299/jsmedsd.2010.20._2314-1_.

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3

Lee, Ghang, Charles M. Eastman, and Rafael Sacks. "Eliciting information for product modeling using process modeling." Data & Knowledge Engineering 62, no. 2 (August 2007): 292–307. http://dx.doi.org/10.1016/j.datak.2006.08.005.

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4

Campagna, Dario, and Andrea Formisano. "Product and Production Process Modeling and Configuration." Fundamenta Informaticae 124, no. 4 (2013): 403–25. http://dx.doi.org/10.3233/fi-2013-841.

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5

Arsham, Hossein. "Modeling and simulation for product design process." SIMULATION 89, no. 2 (July 16, 2012): 178–91. http://dx.doi.org/10.1177/0037549712451776.

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6

Taylor, Barbara Kline. "Content, Process, and Product: Modeling Differentiated Instruction." Kappa Delta Pi Record 51, no. 1 (January 2, 2015): 13–17. http://dx.doi.org/10.1080/00228958.2015.988559.

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7

Neubauer, Johannes, Bernhard Steffen, and Tiziana Margaria. "Higher-Order Process Modeling: Product-Lining, Variability Modeling and Beyond." Electronic Proceedings in Theoretical Computer Science 129 (September 19, 2013): 259–83. http://dx.doi.org/10.4204/eptcs.129.16.

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8

Burgess, Mark A. "Digital Product Development." Mechanical Engineering 130, no. 08 (August 1, 2008): 34–38. http://dx.doi.org/10.1115/1.2008-aug-3.

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This article discusses changes in the digital product development. Advances in computing power are multiplying the capabilities of design engineers. Information technology has advanced at a tremendous pace. Developers of design systems have exploited this capability with sophisticated mathematics, and today's systems are capable of producing very complex designs in much higher definition than ever before. Advances in geometric modeling have made it possible to represent 3-D solids in minute detail. Process modeling, which began with the study of a single manufacturing process, eventually gave way to complete factory flow simulations. The recent advances in IT enabled crossing the boundaries among technology, geometry, and process modeling with integrated computer-aided engineering, computer-aided design, and process planning. Current trends have now extended process modeling throughout the integrated supply chain and the extended enterprise.
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9

Xiao, Renbin, Tinggui Chen, and Zhenwu Tao. "Information modeling and reengineering for product development process." International Journal of Management Science and Engineering Management 2, no. 1 (January 2007): 64–74. http://dx.doi.org/10.1080/17509653.2007.10671010.

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10

Tausworthe, Robert C. "Software quality management through process and product modeling." Annals of Software Engineering 1, no. 1 (December 1995): 119–39. http://dx.doi.org/10.1007/bf02249048.

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11

Cao, Dong Xing, Yan Hui Han, J. Yang, G. Yang, and Chun Xiang Cui. "Integrated Modeling Towards Collaborative Product Development." Advanced Materials Research 44-46 (June 2008): 669–76. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.669.

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In today’s highly volatile global market, design activities become more and more important in the whole lifecycle of product. The process of different developments should adopt appropriate modeling approaches at each stage. Different modeling technologies exert a great impact on different design stages. Therefore, modeling design is crucial to achieve success in the process of product development. This paper presents an integrated modeling of design process for product development. Its objective is to realize concurrent design towards ever-growing demands of market that has already integrated design process and production activities. It can manage to develop product towards early design activities. Different design stage model relations and activities are presented for product development. At first, the characteristics of different development stages are analyzed. The performances and attributes of product are established through considering component, constraints and environment. Second, the process of product modeling is described in detail for early design, and the time interval between the two activities is evaluated for concurrent engineering during the design modeling. Third, a promising framework is given to describe the process of design. Finally, an application example and knowledge are presented to illustrate the process of product development.
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12

Sun, Li, Jun He Yu, Hong Fei Zhan, and Yi Xu. "Enterprise Cluster Entity Modeling Based on Product." Applied Mechanics and Materials 37-38 (November 2010): 402–6. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.402.

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Starting from the product life cycle, this paper established the modeling of enterprise cluster entity at the base of analyzing the various products of the enterprise cluster. The modeling comprises the process dimension, resource dimension and organization dimension. Every dimension was expressed by the analysis of product view. Then, based on the complex network theory, we obtained the distribution of the products by the product network. Finally, we got the relationship of enterprise cluster entity from the result of the product network.
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13

González, Diana B. Queb, and Marisela Rodríguez Salvador. "Dynamic Modeling in New Product Development." International Journal of System Dynamics Applications 3, no. 1 (January 2014): 111–34. http://dx.doi.org/10.4018/ijsda.2014010106.

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One of the main problems for medium-sized companies located in the city of Monterrey, Mexico, is how to establish an efficient way to develop new products which not only considers factors that involve technical aspects, but also those that concern cultural issues. Frequently, medium-sized companies in Latin America do not have a clear leadership policy for their staff, despite this factor being increasingly important inachieving better performance. The objective of this research is to create a simulation model that represents the process of new product development (NPD) in the food industry. For this purpose, a medium-sized company in Monterrey was analyzed. The main focus was to develop a systematic approach that could help reduce the time span of product development. As a result, a dynamic simulation model (DSM) based on sequential logic was built that can be used widely in the new product development process. The proposed model helped us monitor each stage of new product development at the company studied. In order to achieve this, the authors incorporated certain knowledge management elements, particularly leadership and trust within teams. The authors then observed and conceptualized their effects on response time inthe new product development process. This research intends to offer new ways to understand this process by considering other factors beyond technical ones.
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14

Li, Meng Qi, and Dong Ying Li. "Process Modeling for Production System Based on Matrix Mapping." Advanced Materials Research 156-157 (October 2010): 1497–500. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.1497.

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In order to reduce the work of repeated nad iterative of process model for manufacturing system, the paper proposed the establishment of three-dimensional "product - process - property" of the modeling methods with matrix mapping technology and mapped products, function, performance, process to model of production system according to the steps. Production system modeling of light-box as a case to detail description of production systems and process modeling. The modeling method with convenience, comprehensive, integrated, inheritable, and sometimes with large amount of calculation.
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15

Tang, Shengjin, Xiaosong Guo, Chuanqiang Yu, Haijian Xue, and Zhijie Zhou. "Accelerated Degradation Tests Modeling Based on the Nonlinear Wiener Process with Random Effects." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/560726.

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Accelerated degradation tests (ADT) modeling is an important issue in lifetime assessment to the products with high reliability and long lifetime. Among the literature about the accelerated nonlinear degradation process modeling, the current methods did not consider the product-to-product variation of the products with the same type. Therefore, this paper proposes an accelerated degradation process modeling method with random effects for the nonlinear Wiener process. Firstly, we derive the lifetime distribution of the nonlinear Wiener process with random effects. Secondly, the nonlinear Wiener process is used to model the degradation process of a single stress, and the drift coefficient is considered as a random variable to describe the product-to-product variation. Using the random acceleration model, the random effects are incorporated into the constant stress ADT models and the step stress ADT models. Then, a two-step maximum likelihood estimation (MLE) method is presented to estimate the unknown parameters in the degradation models. Finally, a simulation study and a case study are provided to demonstrate the application and superiority of the proposed model.
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16

Xu, Mei Hua, and Dong Yuan Cao. "Information Modeling Design in Product Development." Applied Mechanics and Materials 26-28 (June 2010): 839–42. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.839.

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Information modeling design is the key of product development. An information modeling is discussed in this paper. It determines product function, form and basic structure. Major cost is spent in early product development. The model presented in this paper includes activity model for the process design. The activity model sets the context in which the objects are defined and used. The main purpose of the model development is to initiate standard interface specifications that are necessary for design and process development. The design information that is necessary for conceptual process planning has been collected and modeled using UML.
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17

LI, Wei-Gang, Wen-Bin WANG, and Jun-Yi SHEN. "Data Flow Modeling and Verification in Product Development Process." Chinese Journal of Computers 31, no. 10 (October 16, 2009): 1804–13. http://dx.doi.org/10.3724/sp.j.1016.2008.01804.

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18

Chang, Ai-Fu, and Y. A. Liu. "Integrated Process Modeling and Product Design of Biodiesel Manufacturing." Industrial & Engineering Chemistry Research 49, no. 3 (February 3, 2010): 1197–213. http://dx.doi.org/10.1021/ie9010047.

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19

Ramasesh, Ranga, Devanath Tirupati, and Constantin A. Vaitsos. "Modeling process-switching decisions under product life cycle uncertainty." International Journal of Production Economics 126, no. 2 (August 2010): 236–46. http://dx.doi.org/10.1016/j.ijpe.2010.03.011.

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20

Fu, Leijie, Pingyu Jiang, and Wei Cao. "Modeling and performance analysis of product development process network." Journal of Network and Computer Applications 36, no. 6 (November 2013): 1489–502. http://dx.doi.org/10.1016/j.jnca.2013.02.006.

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21

Nahm, Yoon-Eui, and Haruo Ishikawa. "Integrated Product and Process Modeling for Collaborative Design Environment." Concurrent Engineering 12, no. 1 (March 2004): 5–23. http://dx.doi.org/10.1177/1063293x04040440.

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22

Sampath, K. "Constraints Based Modeling for Innovative Product & Process Designs." Journal of Materials Engineering and Performance 16, no. 6 (December 2007): 694–702. http://dx.doi.org/10.1007/s11665-007-9101-8.

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23

Liu, Xiaojun, Zhonghua Ni, Jinfeng Liu, and Yalong Cheng. "Assembly process modeling mechanism based on the product hierarchy." International Journal of Advanced Manufacturing Technology 82, no. 1-4 (June 11, 2015): 391–405. http://dx.doi.org/10.1007/s00170-015-7372-z.

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24

Nguyen, Von Dim, and Patrick Martin. "Product design-process selection-process planning integration based on modeling and simulation." International Journal of Advanced Manufacturing Technology 77, no. 1-4 (October 11, 2014): 187–201. http://dx.doi.org/10.1007/s00170-014-6446-7.

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25

Du, Xuehong, Jianxin Jiao, and Mitchell M. Tseng. "Graph Grammar Based Product Family Modeling." Concurrent Engineering 10, no. 2 (June 2002): 113–28. http://dx.doi.org/10.1177/1063293x02010002635.

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Many industries are shifting from mass production to mass customization, which demands quick response to the needs of individual customers with high quality and low costs. The development of product families has received an increasing interest in recent years because, by sharing components across products, a family of products can be derived to cater variety while maintaining the economy of scale. Aiming at the computerization, and eventual automation, of product family design, this paper tackles the formal representation issue surrounding this economically important class of engineering design problem. Breaking free from conventional understanding of product families, which is limited as shared components, the paper defines a product family as a structured system to create variety of products with shared core product technologies. It not only involves the shared base product, but also encompasses customization modules, standard designs, and primary patterns of variety to generate custom designs. The paper introduces graph grammar formalisms to the modeling of such a product family. Based on Programmed Attributed Graph Grammars (PAGG), the graph language is developed to specify the design space of the product family. The process of customizing the base product through manipulating particular modules is modeled by rewriting the starting graph using a series of productions according to the control diagram. Configuration constraints are dealt with by defining application conditions for production rules. Control diagrams are constructed to capture complex relationships among modules and used to control the application sequence of production rules. A case study of power supplies is presented to demonstrate the potential of the graph grammar based modeling approach.
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26

Rao, Zhi Hua, Jing Zhong Gong, Guo Xi Li, and Bao Zhong Wu. "Assembly Process Modeling Based on Hierarchical Tree." Advanced Materials Research 542-543 (June 2012): 398–402. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.398.

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Assembly process has a complicated influence on dynamic characteristics and the product performance. However, the information model of the non-geometric process parameters isn’t considered by the existing assembly modeling methods. Based on the further developing of the traditional hierarchical structure, the assembly process layer hierarchical structure was obtained. By acquiring the assembly feature constraints hierarchy tree in Pro/E, and re-modeling the hierarchy tree information, a model of the assembly process hierarchy tree was proposed, and its information model was established. The software instance showed the application of the assembly modeling method. Computer aided alignment showed the proposed approach superior in the assembly process planning, managing and tracking. By the key assembly parameters information modeling, data for subsequent product alignment analysis was supported.
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27

Doss, Daniel Adrian, Russ Henley, Qiuqi Hong, and Trey Pickett. "Investigating Process Maturity Modeling as an Advertising Process Improvement Paradigm." Marketing of Scientific and Research Organizations 32, no. 2 (June 1, 2019): 1–26. http://dx.doi.org/10.2478/minib-2019-0028.

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Summary This article examined a variant of the Capability Maturity Model integrated (CMMi) through the lens of advertising process improvement. The population and sample were taken from a national array of U.S. marketing organizations. Using ANOVA, a 0.05 significance level, and a stratification of service marketing organizations versus product marketing organizations, the study showed a statistically significant difference (F(1, 304) = 4.03; p = 0.04; ω2 = 0.00) regarding the hypothesis representing the notion that processes were potentially sporadic, chaotic, and ad hoc. This notion corresponded to the first maturity level of the examined process maturity framework. With respect to the Likert-scale data representing the first maturity level, the successive means analysis showed that both service marketing firms (M = 2.99) and product marketing firms (M = 2.74) reported neutrality regarding whether processes were deemed sporadic, chaotic, and ad hoc. Thus, the respondents perceived no evidence of the first maturity level among the queried work settings. Future studies may examine different stratifications of marketing firms (e.g., for-profit versus non-profit; domestic versus international; and so on) to better explore the proposed advertising maturity model.
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28

Prasad, Brian. "Product development process for IoT-ready products." Concurrent Engineering 28, no. 2 (June 2020): 87–88. http://dx.doi.org/10.1177/1063293x20932618.

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29

Sarvar, F., and P. P. Conway. "Effective modeling of the reflow soldering process: use of a modeling tool for product and process design." IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part C 21, no. 3 (July 1998): 165–71. http://dx.doi.org/10.1109/3476.720413.

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30

Zhang, Yu Xian, Xiao Shuang Men, and Fang Yao. "The Research on Modeling of Design of Product." Applied Mechanics and Materials 121-126 (October 2011): 1196–99. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1196.

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Product design is a complicated thinking activity of creation of human. Based on analyzing product design and its process, using a theory and method of aggregating and mapping, models of product design, process of product design, process of conceptual design of product were constructed, a frame of network arithmetic of a process of conceptual design of product was presented, its flow of decomposition and integration was particularly defined, a good base for modeling and ruling of process of product design was founded. At the same time, a useful exploration of development of a computer support implement for process of product design at all life cycle was made.
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31

Paixão, Aline Almeida da, Paulo Cesar Corrêa, Fernanda Machado Baptestini, Sérgio Maurício Lopes Donzeles, Mayra Darliane Martins Silva Diniz, and Rafael Leite de Freitas. "Modeling the hydration process of bean grains coated with carnauba wax." Semina: Ciências Agrárias 38, no. 4Supl1 (August 25, 2017): 2515. http://dx.doi.org/10.5433/1679-0359.2017v38n4supl1p2515.

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Edible waxes are widely used to maintain foodstuff until they are consumed. However, some products may be subjected to industrial procedures, such as hydration, prior to their consumption. Hydration of a material is a complex process, which aims to reconstitute the original characteristics of a product when in contact with a liquid phase. An important agricultural product that requires this procedure is beans. Thus, the purpose of this work is to study the hydration process of beans (cultivar BRSMG Majestoso) in different temperatures and concentrations of carnauba wax, which is applied on the product surface. Beans with initial moisture content of 0.2015, 0.1972 and 0.1745 (d.b.) corresponding to treatments 0 (witness), 1 (wax diluted in water in the ratio 1:1), and 2 (carnauba wax, without dilution) were used. Later, these samples were imbibed in distilled water at temperatures of 20, 30 and 40 ºC, for 15 h. The temperature and the carnauba wax influenced the water absorption rate. The Peleg model described satisfactory experimental data and the Mitscherlich model presented biased residual distribution. The constants C1 and C2 of the Peleg model exhibited opposite behaviors with increasing temperatures in the hydration process.
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32

Paixão, Aline Almeida da, Paulo Cesar Corrêa, Fernanda Machado Baptestini, Sérgio Maurício Lopes Donzeles, Mayra Darliane Martins Silva Diniz, and Rafael Leite de Freitas. "Modeling the hydration process of bean grains coated with carnauba wax." Semina: Ciências Agrárias 38, no. 4Supl1 (August 25, 2017): 2515. http://dx.doi.org/10.5433/1679-0359.2017v38n4suplp2515.

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Edible waxes are widely used to maintain foodstuff until they are consumed. However, some products may be subjected to industrial procedures, such as hydration, prior to their consumption. Hydration of a material is a complex process, which aims to reconstitute the original characteristics of a product when in contact with a liquid phase. An important agricultural product that requires this procedure is beans. Thus, the purpose of this work is to study the hydration process of beans (cultivar BRSMG Majestoso) in different temperatures and concentrations of carnauba wax, which is applied on the product surface. Beans with initial moisture content of 0.2015, 0.1972 and 0.1745 (d.b.) corresponding to treatments 0 (witness), 1 (wax diluted in water in the ratio 1:1), and 2 (carnauba wax, without dilution) were used. Later, these samples were imbibed in distilled water at temperatures of 20, 30 and 40 ºC, for 15 h. The temperature and the carnauba wax influenced the water absorption rate. The Peleg model described satisfactory experimental data and the Mitscherlich model presented biased residual distribution. The constants C1 and C2 of the Peleg model exhibited opposite behaviors with increasing temperatures in the hydration process.
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33

Han, Seung-youp, Young-soo Kim, Tae Sung Yoon, and Tai-yong Lee. "Multi-dimensional design process management by extended product modeling for concurrent process engineering." Korean Journal of Chemical Engineering 18, no. 5 (September 2001): 612–22. http://dx.doi.org/10.1007/bf02706376.

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34

Li, Pei Gang, Xian Ying Feng, and Ya Qing Song. "Study on Modeling of Growth Conceptual Design." Applied Mechanics and Materials 44-47 (December 2010): 1883–88. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1883.

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Based on decomposition and reconstruction principle, by analyzing the limit essence of rigid body in generalized coordinate system, the paper proposes growth conceptual design model from function to structure. It applies the mechanism of biological growth into conceptual design of products, realizes the stable mapping from function to structure, and also solves the issues of multi-solutions, uncertainty, etc, existing in the mapping process from function to structure of mechanical products in conceptual design stage. Establish the product knowledge model supporting product conceptual design, use the Case-Based reasoning (CBR) technology into entities match and verify it by case, which provides a new idea for the conceptual design of computer aided product.
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35

Wan, Qia, Youjian Xu, and Can Lu. "A fundamental study of parameter adjustable additive manufacturing process based on FDM process." MATEC Web of Conferences 189 (2018): 05001. http://dx.doi.org/10.1051/matecconf/201818905001.

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In Fused deposition modeling (FDM) process, there has been a confliction between high productivity and high quality of products. The product resolution is proportional to the flow rate of heated material extrusion, which directly affects the build time. To reduce the build time with acceptable resolution, the idea of parameter adjustable printing process has been introduced. The controllable extruder was modified and two types of diameter changeable nozzle have been designed. This work realizes different resolution building based on the part geometry during FDM process, which can efficiently assure the quality of products and improve the productivity at the same time.
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36

Xue, Shan Liang, Q. Y. Wei, Guang Ming Jiao, and X. F. Li. "Research on Product Development Process Management for Virtual Enterprise." Applied Mechanics and Materials 10-12 (December 2007): 838–41. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.838.

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For a manufacturing enterprise to be competitive in constantly changing market environment, it is necessary to adopt a new model called agile manufacturing by organizing Virtual Enterprise. Aimed at developing a product development process management (PDPM) system for Virtual Enterprise, modeling of product development process is discussed and a union information model is proposed using Object Modeling Technique. Based on the J2EE platform, a framework of PDPM system is built up with a three-tiered architecture, which consists of several Enterprise JavaBeans components to ensure compatibility, distribution, and flexibility of the system. A PDPM system prototype is developed utilizing JAVA and has been validated in a simulated virtual enterprise environment.
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37

Hao, Yongping, Xiaolei Xu, Weiping Shao, and Chunyan Wang. "A Product Design Process Modeling Methodology Based on Petri Net." International Journal of Intelligent Engineering and Systems 4, no. 3 (September 30, 2011): 9–14. http://dx.doi.org/10.22266/ijies2011.0930.02.

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38

Tang, Dun Bing, M. J. Xu, and M. Wan. "Functional Evolution Process Modeling and Management for Conceptual Product Design." Advanced Materials Research 44-46 (June 2008): 429–36. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.429.

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Function modeling and evolution is a key stage in conceptual product design. To enable the efficient functional evolution, the functional evolution process needs to be modeled and managed in a systematic way. Current PDM systems can effectively manage the ‘final’ product data and information, but can not deal with documentation about the function design and related evolution process. Therefore, a functional evolution process modeling management mechanism has been proposed and a related computer aided system has been developed. Firstly, in an attempt to achieve a shared understanding of the functional evolution activities, a set of consistent and coherent definitions of the functional evolution activities are deliberated and presented. Four basic pairs of function evolution directions have been presented to describe what each specific function evolution design activity entails, and the function structuring is circumscribed with defined causal function relations and structural function relations. Then, a function evolution process model is introduced, aiming to give a support for obtaining an appropriate representation of information about (1) function version which can reflect the phases of function evolution process, and (2) function evolution activities which compose the whole function evolution process. A framework for functional evolution process management has been established, which can not only capture evolution of function objects, but also record the designer’s functional design intent systematically.
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39

Belkhatir, Noureddine, and Walcélio L. Melo. "Towards an Integration of Software Product and Software Process Modeling." Integrated Computer-Aided Engineering 3, no. 1 (January 1, 1996): 36–50. http://dx.doi.org/10.3233/ica-1996-3104.

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40

Pal, Avishek, and Darek Ceglarek. "Modeling of Decision Making Process for Product Service Failure Diagnosis." Procedia CIRP 11 (2013): 32–37. http://dx.doi.org/10.1016/j.procir.2013.07.067.

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41

Singh, Nanua. "Integrated product and process design: a multi-objective modeling framework." Robotics and Computer-Integrated Manufacturing 18, no. 2 (April 2002): 157–68. http://dx.doi.org/10.1016/s0736-5845(01)00030-8.

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42

Lv, M., and G. Wang. "Research on Workflow-based Modeling Method of Product Manufacturing Process." International Journal of Smart Home 8, no. 3 (May 31, 2014): 97–106. http://dx.doi.org/10.14257/ijsh.2014.8.3.09.

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43

Jousse, Fabien. "Modeling to Improve the Efficiency of Product and Process Development." Comprehensive Reviews in Food Science and Food Safety 7, no. 1 (January 2008): 175–81. http://dx.doi.org/10.1111/j.1541-4337.2007.00033.x.

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44

Wang, Ping, Luping Sun, and Luluo Peng. "Modeling product attitude formation process in online word‐of‐mouth." Nankai Business Review International 4, no. 3 (August 16, 2013): 212–29. http://dx.doi.org/10.1108/nbri-07-2013-0025.

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45

Wang, Zheng, and Hongsen Yan. "Quantitative modeling of the product development process in concurrent engineering." IFAC Proceedings Volumes 32, no. 2 (July 1999): 413–18. http://dx.doi.org/10.1016/s1474-6670(17)56071-1.

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46

Jun, Hong-Bae, and Hyo-Won Suh. "A Modeling Framework for Product Development Process Considering its Characteristics." IEEE Transactions on Engineering Management 55, no. 1 (February 2008): 103–19. http://dx.doi.org/10.1109/tem.2007.912808.

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47

Tracht, Ursula, and Frank U. Richter. "Kinetic Modeling from Early Product Development to Polymerization Process Optimization." Macromolecular Symposia 324, no. 1 (February 2013): 33–40. http://dx.doi.org/10.1002/masy.201200064.

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48

Li, Shen, Xiao Dong Shao, Zhi Hua Zhang, and Xiao Bo Ge. "Parameter-Level Data Flow Modeling Oriented to Product Design Process." International Journal of Bifurcation and Chaos 25, no. 14 (December 30, 2015): 1540037. http://dx.doi.org/10.1142/s0218127415400374.

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In this paper, a method of data flow modeling for a product design process oriented to data parameter is proposed. The data parameters are defined, which are classified as the basic data parameters and complex data parameters. The mechanism of the mapping relationship between different forms of documents and some basic data parameters, and a data transmission based on parameters, are constructed. Aiming at the characteristics of the iterative design process, the parameters version mechanism including node modification and iteration information is proposed. The data parameters transmission relationships are represented by a parameters network model (PNM) based on a directed graph. Finally, through the table of data parameters mapping onto the workflow node and PNM, the data ports and data links in the data flow model are generated automatically by the program. Validation in the 15-meter-diameter S/Ka frequency band antenna design process of the “Reflector, Back frame and Center part design” data flow model shows that the method can effectively shorten the time of data flow modeling and improve the data transmission efficiency.
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49

Sammons, N. E., W. Yuan, M. R. Eden, B. Aksoy, and H. T. Cullinan. "Optimal biorefinery product allocation by combining process and economic modeling." Chemical Engineering Research and Design 86, no. 7 (July 2008): 800–808. http://dx.doi.org/10.1016/j.cherd.2008.03.004.

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50

Gujral, Barry, Martina C. Kotthaus, Uma Lakshmipathy, Andrew McNicoll, Raul Cardona-Torres, Rupninder Sandhu, Michael Goedecke, and Karlheinz Giselbrecht. "The role of computer simulation modeling in product/process optimization." Monatshefte für Chemie - Chemical Monthly 150, no. 5 (April 29, 2019): 933–40. http://dx.doi.org/10.1007/s00706-019-02414-6.

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