New Collaboration between Engineer and Product Feature Generation in Industrial PLM Systems

2013 ◽  
Vol 300-301 ◽  
pp. 273-279 ◽  
Author(s):  
László Horváth ◽  
Imre J. Rudas

This paper introduces a new method for the communication between human and product model entity definition processes. As product definition is moving into modeling in industrial product lifecycle management (PLM) systems, and built-in knowledge and intelligent computing content of product models increase, development of product modeling faces new challenges. More often, knowledge content is not in accordance with authorized human intent and different intents of different authorized humans for the same task are not in harmony. At the same time, authorized human needs help to understand decisions of other humans at application and modification of existing entity definitions in product model. The authors of this paper found the answer for the above challenges in a new human-model generation communication which extends the conventional product feature definition to higher level definition of objectives and allows for harmonizing different human intents. This communication applies higher level connection of human and product object generation process by knowledge based contextual chain in which model entities are more appropriate for knowledge content based decisions as the currently applied knowledge ware features. The proposed communication is devoted as extension to currently applied one so that the new decision assistance can be integrated with the well proven feature driven current industrial modeling.

2013 ◽  
Vol 300-301 ◽  
pp. 1494-1499 ◽  
Author(s):  
László Horváth ◽  
Imre J. Rudas

High information content of integrated engineering activities stimulated development of product modeling during the past decades in order to support information management for lifecycle of products. Mechatronics is one of the engineering areas those require integrated product development techniques with strong knowledge based modeling and simulation in their background. The authors of this paper analyzed product modeling advancements in industrially applied product lifecycle management (PLM) systems in order to conceptualize new method to enhance knowledge content in product model. As a result of this analysis, they proposed a new method for control of product definition which extends the existing control in current PLM systems. This method is a contribution to solution for problems in current product modeling and is called as coordinated request based product modeling (CRPM). CRPM applies actual requested product definition (ARPD) as extension to currently applied product model. In this paper, the new method and entities as well as engineering objective definition and product behavior handling are explained as main contributions by the proposed modeling.


2009 ◽  
Vol 419-420 ◽  
pp. 765-768
Author(s):  
Hai Tao Zhu ◽  
Wen Lin Pan ◽  
Chao Liu

The product modeling method based on UML is presented in order to solve the consistency problem of definition, process and resources in the product life-cycle, and meet the need of developing the system from various viewports. Through the definition of three-layer product model structure included “product meta-meta model layer”, “product meta model layer” and the “product model layer” and its contents and their interrelation, the definition of a product modeling and constraint unity have been achieved to. The practical application reflects the validity and the feasibility of UML-based product modeling method.


Author(s):  
László Horváth ◽  

Engineering for design, analysis, and manufacturing planning of products has been integrated with other product related engineering activities such as control of manufacturing equipment, marketing, sales and customer services in product lifecycle management systems (PLM). This challenging complex of activities would be impossible without the support of recent information technology (IT). Descriptions of various engineering objects have been integrated into very complex product models. Main area of development in the next future is enhanced assistance of decisions in product modeling. Approach to high level of modeling and application of the highly integrated product model for simulation will be the virtual intelligent space where all outside and inside effects are reacted. In order to join this tendency, this paper introduces a methodology for integrated application of analysis of behaviors of modeled objects, adaptive actions for controlled modifications of engineering objects, and definition of optimal sets of parameters. In order to establish a virtual intelligent space, sensor signals in physical intelligent space are replaced by received change information and actuators are replaced by adaptive actions. In this paper, new concept of intelligent virtual product space (IVPS) as integrated description of physical product and other objects and processes is introduced. Following this, a method is proposed to include computational intelligence in product models in the form of control of behaviors of modeled product objects. Change management methods are explained in close connection with behavior analysis. Finally, some methods for control of the work of a virtual intelligent product space are detailed.


2016 ◽  
Vol 371 (1686) ◽  
pp. 20150070 ◽  
Author(s):  
Heidi Keller

The definition of self and others can be regarded as embodying the two dimensions of autonomy and relatedness. Autonomy and relatedness are two basic human needs and cultural constructs at the same time. This implies that they may be differently defined yet remain equally important. The respective understanding of autonomy and relatedness is socialized during the everyday experiences of daily life routines from birth on. In this paper, two developmental pathways are portrayed that emphasize different conceptions of autonomy and relatedness that are adaptive in two different environmental contexts with very different affordances and constraints. Western middle-class children are socialized towards psychological autonomy, i.e. the primacy of own intentions, wishes, individual preferences and emotions affording a definition of relatedness as psychological negotiable construct. Non-Western subsistence farmer children are socialized towards hierarchical relatedness, i.e. positioning oneself into the hierarchical structure of a communal system affording a definition of autonomy as action oriented, based on responsibility and obligations. Infancy can be regarded as a cultural lens through which to study the different socialization agendas. Parenting strategies that aim at supporting these different socialization goals in German and Euro-American parents on the one hand and Nso farmers from North Western Cameroon on the other hand are described. It is concluded that different pathways need to be considered in order to understand human psychology from a global perspective.


2005 ◽  
Vol 9 (4) ◽  
pp. 51-63 ◽  
Author(s):  
Anurag Mishra ◽  
M. Akbar

Literature on medium sized enterprises (MSEs) is limited both in developed markets and emerging markets. This paper addresses this gap and explores MSEs from a knowledge-based perspective. Grounded in the case based research often MSEs, the paper identifies the knowledge assets employed by highly successful firms. The paper performs a detailed case analysis of three such firms from our sample. We trace the knowledge generation process through a detailed line diagram and based on the case analysis, build a generic model for analyzing the knowledge conversion process in MSEs. The contribution of this work is articulated in the process model that integrates the various classes of knowledge assets in the context of transitional firms in India. The paper also develops a few empirically testable propositions, filling a major gap in existing literature on knowledge management.


Author(s):  
Stefan Wo¨lkl ◽  
Kristina Shea

The importance of the concept development phase in product development is contradictory to the level and amount of current computer-based support for it, especially with regards to mechanical design. Paper-based methods for conceptual design offer a far greater level of maturity and familiarity than current computational methods. Engineers usually work with software designed to address only a single stage of the concept design phase, such as requirements management tools. Integration with software covering other stages, e.g. functional modeling, is generally poor. Using the requirements for concept models outlined in the VDI 2221 guideline for systematic product development as a starting point, the authors propose an integrated product model constructed using the Systems Modeling Language (SysML) that moves beyond geometry to integrate all necessary aspects for conceptual design. These include requirements, functions and function structures, working principles and their structures as well as physical effects. In order to explore the applicability of SysML for mechanical design, a case study on the design of a passenger car’s luggage compartment cover is presented. The case study shows that many different SysML diagram types are suitable for formal modeling in mechanical concept design, though they were originally defined for software and control system development. It is then proposed that the creation and use of libraries defining generic as well as more complicated templates raises efficiency in modeling. The use of diagrams and their semantics for conceptual modeling make SysML a strong candidate for integrated product modeling of mechanical as well as mechatronic systems.


Author(s):  
Sarah Bouraga ◽  
Ivan Jureta ◽  
Stéphane Faulkner ◽  
Caroline Herssens

Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS. Using a classification framework, the survey overviews KBRS components, user problems for which recommendations are given, knowledge content of the system, and the degree of automation in producing recommendations.


Author(s):  
Gorka Urbikain ◽  
Luis Norberto López De Lacalle ◽  
Mikel Arsuaga ◽  
Alvaro Alvarez ◽  
Miguel A. Alonso

The future of machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy and reliability. Nowadays, distortion and vibration problems are easily solved in labs for the most common machining operations by using models based on equations describing the physical laws of the machining processes; however additional efforts are needed to overcome the gap between scientific research and the real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on “deep-knowledge and models” that aid machine designers, production engineers or machinists to get the best of the machine-tools. This article proposes a methodology to reduce problems in machining by means of a simulation utility, which uses the main variables of the system&process as input data, and generates results that help in the proper decision-making and machining planification. Direct benefits can be found in a) the fixture/clamping optimal design, b) the machine tool configuration, c) the definition of chatter-free optimum cutting conditions and d) the right programming of cutting toolpaths at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies and are explained in the paper.


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