This research presents a new method to preserve data consistency in a multi-user CAx environment. The new method includes three types of constraints which work by constraining and controlling both features and users across an entire multi-user CAx platform. The first type of constraint includes locking or reserving features to enable only one user at a time to edit a given feature. The second type of constraint, collaborative feature constraints, allows flexible constraining of each individual feature in a model, and the data that defines it. The third type of constraint, collaborative user constraints, allows the constraining of user permissions and user actions individually or as a group while providing as much flexibility as possible. To further present this method, mock-ups and suggested implementation guidelines are presented. To demonstrate the effectiveness of the method, a proof-of-concept implementation was built using the CATIA Connect multi-user CAD prototype developed at BYU. Using this implementation usage examples are provided to show how this method provides important tools that increase collaborative capabilities to a multi-user CAx system. By using the suggested method design teams will be able to better control how their data is used and edited, maintaining better data consistency and preventing data conflict and data misuse.

No / Visinet is a trans-European 3D collaborative design project that brings together computer scientists, application developers, design specialists, and users in the context of shared environments supported by ATM networks. Experiments and trials have been conducted for the key application domains of architectural and industrial design. Different types of virtual representation and computer-supported collaborative work are applied to real-life projects between partners at different locations in Europe. Measurements of network requirements have enabled cost/benefits to be quantified. Measurements of user satisfaction and speed of completion of the design to product cycle have also been made, resulting in a greater understanding of the ways in which collaborative design environments linked by high-speed networks affect this cycle. Additional experiments are currently being conducted on the way in which an ATM backbone between principal partners in a project can be complemented with ISDN links to partners in a local area.

This dissertation focuses on design sessions in which users and stakeholders participate. It demonstrates how material from field studies can be used in exploratory design sessions. The emphasis is on the staging and realization of experiments with ‘possible futures’. Using a design perspective I have worked with how field studies can contribute to design processes in which many parties collaborate. With a starting point in collaborative ‘sketching’ and creation of scenarios I have striven to create a meaningful way for design teams to adopt a practice perspective. The dissertation shows that there need not be any opposition between exploring ‘what is’ and envisioning ‘what can be’. The increase of computer technology in everyday life and the development making information technology become an integrated part of more and more everyday products has given rise to a need to find new ways of working in the process of designing. If it was ever possible to work in an isolated way on either digital or physical technology, this is no longer the case since development requires collaboration over these borders. In the same way, IT plays an increasing significant role in people’s everyday lives. User focus and user involvement have become commonplace. This calls for new ways of organizing the design process. The present dissertation meets this problem. I have participated in four projects in which exploring users everyday practices has become a meaningful design activity and a foundation for collaboration. The purpose of this dissertation is to shed light on the possibilities and the advantages offered by working design oriented with material from field studies. Furthermore, it strives to show how design sessions can be organized and carried out on a practical level and exemplifies with concrete projects. Special emphasis is given to the creation of and the inquiry into design material and the development and use of design games. / <p>In collaboration with School of Arts and Communication, Malmö University, Sweden.</p>

MultiGphysics systems design, including the design of mechatronics systems, involvings designers in different disciplines (e.g., mechanics, electronics, physics of sensors, etc.), particularly design for systems intended for operation in severe conditions (withstanding shocks, vibrations, high temperatures, and high pressures in limited dimensions), raises many of the challenging issues in the design of complex systems. Consequently, highly integrated products are characterized by multiple functional flows passing through common components. Very high performance requirements from the different designers may over-constrain architectural modules, as well as connections, and the performance of some functions. The integration of multi-physics functions within products of limited size that operate in severe conditions results in an intense" interaction between design parameters and expected functionality. As soon as a design parameter is changed, the performance of several functions may be impacted. This is due to a high degree of performance optimization and the fact that several functions are part of the functional flow stemming from a single component. In addition, some disciplines may be more constrained than others, depending upon given performance challenges and the concept architecture being considered. Hereafter, we refer to architectural modules, connections and disciplines as constrainable objects. Today, with no prediction tool for locating the aspects that are likely to be highly constrained, consequences may be dramatic. For instance, project management for systems in the oil industry is often responsible for unacceptable additions to project overhead costs and project timelines for a project that may simply fail in the end. In our study, we propose to semantically enrich conventional representation models of product complexity.We use a design structure matrix (DSM) to represent admissible architecture connections and dependency configurations, a domain mapping matrix (DMM) to link functions and architecture, and quality function deployment (QFD), in a non conventional way, in order to propagate the designers aims for performance of the components more than the traditional voice of the customer. We enrich DSM representations with a physical connection typology, allowing a range of choices at an early design stage For a given connection, information regarding the nature of likeldesign difficulties is incorporated into a data model. We enrich DMM representations with functional flow sequencing along the architectural modules. We adapt the QFD method to capture the voice of the engineering disciplines involved in the project this ontological enrichment of design data makes it easier to envision and manage design challenges for multiGphysics systems. Seven design assessment cards are proposed to the design team as meaningful tools used to converge from a set of potential architectural configurations toward single architecture. This convergence process is driven by the necessity of avoiding highly constrained constrainable objects, achieved by balancing and spreading the design constraints throughout the system. The seven assessment cards are organized into two major design quality vectors: the ambition vector and the difficulty vector. The ambition vector indicates degrees of freedom in exploration of the architecture design space. The difficulty vector offers heuristic information on the nature and levels of the difficulties in meeting performance targets. The resulting method, which we call the multi-physics design scorecard" (MPDS), was applied to the design of a power electronics controller (PEC), a regulator board involving three sectors: mechanics, electronics, and packaging. Data gathering and implementation of theMPDSmethod took the design team just one day. The method immediately generated improved architectures, guaranteeing at the same time a more robust further design process.

The prevalence of Virtual Team (VT) configurations in organizations has come to challenge the relevance of traditional management practices based on traditional, physically collocated teams. Creativity—a topical and multidisciplinary issue—has been under-researched within the context of virtuality. Predicated on the premise that creativity may be expressed differently in the context of VTs, I draw the conceptual foundations for this research from the fields of virtuality (i.e. VTs) and creativity, and use engineering design as the empirical context, with the aim of pursuing a better understanding of creativity in relationship with virtuality in the context of Virtual Design Teams (VDTs). Design constitutes a pertinent empirical context because (a) designers have to deliver outputs requiring creativity; and (b) their work is increasingly accomplished in VDT environments. I report on the findings from three case studies involving temporary VDTs. Studies 1 and 2 comprised student engineers. Study 3 was a comparative case study focusing on a team of professional engineers, who completed one design task while physically collocated (face-to-face, F2F) and another one while geographically dispersed (virtually), with the aim of isolating factors that are unique to virtuality. With an interpretive stance guiding this research, the same analytical approach for each case study, and with the team serving as the unit of analysis, I analysed the collected data (interview data, observations, video recordings, photographic material, documents, communication extracts, design and other outputs) qualitatively with the use of visual and thematic analysis. The thesis makes the following theoretical contributions: (a) it advances understanding of creativity within the VDT lifecycle; (b) it elicits factors influencing creativity in the temporary VDT context; and (c) it explains how the unique characteristics of virtuality influence creativity within this context. The thesis’ limitations as well as implications for research and practice are also discussed.

This study will provide an overview of mental models in teams and the significance of this particular concept for design teams. Researchers have applied the concept of mental models to understand how people perform tasks on the basis of their knowledge, assumptions, predictions and expectation. An overview is also provided on the relation between performance and mental models and their effect on stakeholders. The implications for design field are discussed. Through the study of two organizations in the same industry, the teams are studied in detail for each of these companies and hence leading to the study of mental models of stakeholders. Through the use of interviews, a detailed analysis is done on the team mental models. The mental models of stack holders and their influence on different aspects of company and team performance are discussed in detail. The methodology for the study of mental models is also proposed in the study. The findings are based on the data collected through interviews in both the organizations. The empirical study is designed in such a way that it investigates further the validity of theoretical concepts. Warid is a major telecommunication brand in Pakistan that provides services in all the regions of the country. Ufone is also a well-known telecommunication brand, known for its innovative and creative TVCs (TV commercial). Interviews with the marketing and sales officials of both these organizations provided an insight into the teams behind their advertising/marketing campaigns and the affect of stakeholders’ mental models on the performance and sales of the companies. The comparative analysis between the theoretical and empirical studies suggests that the quality of mental models is affected by diversity in the team, education and experience of the team members. This may be brought in for future research to further verify the effectiveness of mental models for design teams and eventually the whole organization. Finally the implications of our findings are discussed. / Program: Magisterutbildning i informatik

New product development is a challenging process which plays a significant role for the rise of the competitiveness of a firm. This process benefits from cooperative relations in the supply network of the firm, such as the collaboration in buyer- supplier relations. The automotive industry presents a good example for studying buyer supplier relations. The positive effects of supplier involvement in product design and development process have been discussed intensely in the literature due to the exceptional success of OEMs &ndash / Original Equipment Manufacturers- in the Japanese automotive industry. This study analyzes the role of suppliers in the automotive sector, the buyer-supplier interface and relations, and new product development process specific to the automotive industry in order to highlight the outcomes of supplier involvement in product development process especially during the design phase. A descriptive questionnaire study on the Turkish automotive supplier industry was conducted. The questionnaire was completed by 25 supplier firms who are members of the Association of Turkish Automotive Parts &amp / Components Manufacturers (TAYSAD) and 5 OEM firms. The questionnaire results show that the level of supplier involvement in the product design phase is low compared to the other project phases such as introduction to the project, prototype production, pre-launch, and mass production. Following this preliminary study, two in-depth interviews were conducted with one OEM and one supplier representatives, and more detailed information on suppliers&rsquo / involvement in product design was gathered. Keywords: Supplier Involvement, Automotive Industry, Product Development, Collaborative Design

For many products, the design process is a complex system involving the interaction of many distributed design activities that need to be carefully coordinated. This research develops a new tool, called a Bayesian network classifier, to improve one specific aspect of this challenge: quantitatively capturing a consensus of which designs are feasible options for meeting system-wide engineering requirements. Classifiers enable designers to independently develop and share maps of the feasible regions of their design space, enabling set-based collaborative design. The method is set-based in that resources are used to thoroughly understand design tradeoffs before commitment is made to a final design. The method is collaborative because the maps are coordinated between design teams to represent the mutually feasible design space of all stake-holders. The benefits are a more thorough understanding of the system-wide design problem across team boundaries as well as knowledge capture for future re-use, potentially leading to faster product development and higher quality products. / text

Today's complex design projects require teams of designers to work collaboratively by sharing their respective expertise in order to produce effective design solutions. Due to the increasing need for exchanging knowledge, modern design projects are more structured to work with distributed virtual teams that collaborate over computer networks to achieve overall optimization in design. Nevertheless, in a collaborative design process, the integration of multidisciplinary virtual teams - involving exchange and sharing of knowledge and expertise - frequently and inevitably generates conflicting situations. Different experts' viewpoints and perspectives, in addition to several ways of communicating and collaborating at the knowledge level, make all this process very hard to manage. In order to achieve an optimal scenario, some problems must first be solved, such as requirement specification and formalization, ontology integration, and conflict detection and resolution. Specifying and formalizing the knowledge demands a great effort towards obtaining representation patterns that aggregate several disjoint knowledge areas. Each expert should express himself so that the others can understand his information correctly. It is necessary, therefore, to use a flexible and sufficiently extensive data representation model to accomplish such a task. Some current models fall short of providing an effective solution to effective knowledge sharing and collaboration on design projects, because they fail to combine the geographical, temporal, and functional design aspects with a flexible and generic knowledge representation model. This work proposes an information model-driven collaborative design architecture that supports synchronous, generic, service-oriented, agent-based, and ontology-based teamwork. Particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design. It is a synchronous approach because the concurrent processes are undertaken at the same time that the interactions among designers take place. It is generic because it provides the users with two approaches for ontology integration: the use of a predefined generic ontology and the harmonization process. Our proposal focuses on collaborative design conflict resolution by using Web Ontology Language (OWL) and Web Services, the former as a tool for knowledge representation and the latter as a technological support for communication.

MultiGphysics systems design, including the design of mechatronics systems, involvings designers in different disciplines (e.g., mechanics, electronics, physics of sensors, etc.), particularly design for systems intended for operation in severe conditions (withstanding shocks, vibrations, high temperatures, and high pressures in limited dimensions), raises many of the challenging issues in the design of complex systems. Consequently, highly integrated products are characterized by multiple functional flows passing through common components. Very high performance requirements from the different designers may over-constrain architectural modules, as well as connections, and the performance of some functions. The integration of multi-physics functions within products of limited size that operate in severe conditions results in an intense" interaction between design parameters and expected functionality. As soon as a design parameter is changed, the performance of several functions may be impacted. This is due to a high degree of performance optimization and the fact that several functions are part of the functional flow stemming from a single component. In addition, some disciplines may be more constrained than others, depending upon given performance challenges and the concept architecture being considered. Hereafter, we refer to architectural modules, connections and disciplines as constrainable objects. Today, with no prediction tool for locating the aspects that are likely to be highly constrained, consequences may be dramatic. For instance, project management for systems in the oil industry is often responsible for unacceptable additions to project overhead costs and project timelines for a project that may simply fail in the end. In our study, we propose to semantically enrich conventional representation models of product complexity.We use a design structure matrix (DSM) to represent admissible architecture connections and dependency configurations, a domain mapping matrix (DMM) to link functions and architecture, and quality function deployment (QFD), in a non conventional way, in order to propagate the designers aims for performance of the components more than the traditional voice of the customer. We enrich DSM representations with a physical connection typology, allowing a range of choices at an early design stage For a given connection, information regarding the nature of likeldesign difficulties is incorporated into a data model. We enrich DMM representations with functional flow sequencing along the architectural modules. We adapt the QFD method to capture the voice of the engineering disciplines involved in the project this ontological enrichment of design data makes it easier to envision and manage design challenges for multiGphysics systems. Seven design assessment cards are proposed to the design team as meaningful tools used to converge from a set of potential architectural configurations toward single architecture. This convergence process is driven by the necessity of avoiding highly constrained constrainable objects, achieved by balancing and spreading the design constraints throughout the system. The seven assessment cards are organized into two major design quality vectors: the ambition vector and the difficulty vector. The ambition vector indicates degrees of freedom in exploration of the architecture design space. The difficulty vector offers heuristic information on the nature and levels of the difficulties in meeting performance targets. The resulting method, which we call the multi-physics design scorecard" (MPDS), was applied to the design of a power electronics controller (PEC), a regulator board involving three sectors: mechanics, electronics, and packaging. Data gathering and implementation of theMPDSmethod took the design team just one day. The method immediately generated improved architectures, guaranteeing at the same time a more robust further design process.