The Experts below are selected from a list of 390582 Experts worldwide ranked by ideXlab platform
Kristin L. Wood - One of the best experts on this subject based on the ideXlab platform.
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a high definition design Structure Matrix hddsm for the quantitative assessment of product architecture
Journal of Engineering Design, 2012Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:As the field of engineering design matures, new techniques and methods are continuously being developed to conceptualise and analyse product architecture. These techniques and methods require product representations with higher sophistication, granularity, and fidelity. To address these needs, the high-definition design Structure Matrix (HDDSM) is presented as a new and evolved product representation model that captures a spectrum of interactions between components of a product, such that characteristics of product architecture can be assessed and compared. The HDDSM includes an interaction basis to capture a variety of standardised types of interactions and a hierarchical modelling method to facilitate modular, more efficient compilation of a design Structure Matrix with a high level of detail. To illustrate the types of quantitative analyses supported by the HDDSM, it is used as a foundation for quantifying the degree of nesting and identifying the presence of frameworks in product architectures – two c...
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the repeatability of high definition design Structure Matrix hddsm models for representing product architecture
ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC CIE2010, 2010Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:Product architecture has implications for product success that go beyond meeting basic customer needs or performance requirements. The mapping of functions to components and the interactions between them impacts the potential for using all or part of the product to build a family of products, the ease with which the product can be redesigned to meet previously unanticipated customer needs, and the way in which engineering design changes propagate during the design process. For practical applications of design theory, it would be beneficial to have a comprehensive and robust model that captures product architecture and can be used for multiple purposes. Some fields of design research have used variations of a Design Structure Matrix (DSM) to record the interactions between elements of a system. The High Definition Design Structure Matrix (HDDSM) has been proposed as a model that limits the subjectivity required from designers by capturing the existence of very specific types of interactions between product components. This work evaluates the repeatability of HDDSM models created by different examiners for a set of electromechanical products. The inter-rater agreement between HDDSM models created by pairs of examiners is determined by calculating the kappa agreement index for each type of component interaction. The results of this initial study demonstrate very encouraging levels of repeatabili ty across examiners for different types of products. Based on these results, recommendations are provided for creating objective models of product architecture and using such models for a number of exploratory research tasks, such as automated analysis of design guidelines.
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analysis of product flexibility for future evolution based on design guidelines and a high definition design Structure Matrix
Design Automation Conference, 2009Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:The design of a product determines the flexibility of that product for future evolutions, which may arise from a variety of change modes such as new market needs or technological change. The energy, material, and information exchanged between components of a product along with the spatial relationships and movement between those components all influence the ability of that product’s design to be evolved to meet the new requirements of a future generation. Previous work has produced a set of guidelines for product flexibility for future evolution that have been shown to improve the ability of a design to be adapted when new needs arise. Although these guidelines are conceptually easy to understand, it is difficult to assess the extent to which a product follows the guidelines. This paper presents a systematic method to analyze the flexibility for future evolution of products based on selected guidelines. The High-Definition Design Structure Matrix is presented as a product representation model which captures sufficient interaction information to highlight potential design improvements based on the aforementioned guidelines. An interaction basis is used to facilitate the consistency and comparison of HD-DSM models created by different examiners and/or for different systems. The selected guidelines are interpreted in terms of the HD-DSM by creating analysis processes that relate to the characteristics described by the guideline. Two similar power screwdrivers are compared for flexibility for future evolution based on a quantitative analysis of their respective HD-DSMs.
Andrew H Tilstra - One of the best experts on this subject based on the ideXlab platform.
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a high definition design Structure Matrix hddsm for the quantitative assessment of product architecture
Journal of Engineering Design, 2012Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:As the field of engineering design matures, new techniques and methods are continuously being developed to conceptualise and analyse product architecture. These techniques and methods require product representations with higher sophistication, granularity, and fidelity. To address these needs, the high-definition design Structure Matrix (HDDSM) is presented as a new and evolved product representation model that captures a spectrum of interactions between components of a product, such that characteristics of product architecture can be assessed and compared. The HDDSM includes an interaction basis to capture a variety of standardised types of interactions and a hierarchical modelling method to facilitate modular, more efficient compilation of a design Structure Matrix with a high level of detail. To illustrate the types of quantitative analyses supported by the HDDSM, it is used as a foundation for quantifying the degree of nesting and identifying the presence of frameworks in product architectures – two c...
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the repeatability of high definition design Structure Matrix hddsm models for representing product architecture
ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC CIE2010, 2010Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:Product architecture has implications for product success that go beyond meeting basic customer needs or performance requirements. The mapping of functions to components and the interactions between them impacts the potential for using all or part of the product to build a family of products, the ease with which the product can be redesigned to meet previously unanticipated customer needs, and the way in which engineering design changes propagate during the design process. For practical applications of design theory, it would be beneficial to have a comprehensive and robust model that captures product architecture and can be used for multiple purposes. Some fields of design research have used variations of a Design Structure Matrix (DSM) to record the interactions between elements of a system. The High Definition Design Structure Matrix (HDDSM) has been proposed as a model that limits the subjectivity required from designers by capturing the existence of very specific types of interactions between product components. This work evaluates the repeatability of HDDSM models created by different examiners for a set of electromechanical products. The inter-rater agreement between HDDSM models created by pairs of examiners is determined by calculating the kappa agreement index for each type of component interaction. The results of this initial study demonstrate very encouraging levels of repeatabili ty across examiners for different types of products. Based on these results, recommendations are provided for creating objective models of product architecture and using such models for a number of exploratory research tasks, such as automated analysis of design guidelines.
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analysis of product flexibility for future evolution based on design guidelines and a high definition design Structure Matrix
Design Automation Conference, 2009Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:The design of a product determines the flexibility of that product for future evolutions, which may arise from a variety of change modes such as new market needs or technological change. The energy, material, and information exchanged between components of a product along with the spatial relationships and movement between those components all influence the ability of that product’s design to be evolved to meet the new requirements of a future generation. Previous work has produced a set of guidelines for product flexibility for future evolution that have been shown to improve the ability of a design to be adapted when new needs arise. Although these guidelines are conceptually easy to understand, it is difficult to assess the extent to which a product follows the guidelines. This paper presents a systematic method to analyze the flexibility for future evolution of products based on selected guidelines. The High-Definition Design Structure Matrix is presented as a product representation model which captures sufficient interaction information to highlight potential design improvements based on the aforementioned guidelines. An interaction basis is used to facilitate the consistency and comparison of HD-DSM models created by different examiners and/or for different systems. The selected guidelines are interpreted in terms of the HD-DSM by creating analysis processes that relate to the characteristics described by the guideline. Two similar power screwdrivers are compared for flexibility for future evolution based on a quantitative analysis of their respective HD-DSMs.
Ali A Yassine - One of the best experts on this subject based on the ideXlab platform.
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systematic module and interface definition using component design Structure Matrix
Journal of Engineering Design, 2010Co-Authors: Robert Helmer, Ali A Yassine, Christoph MeierAbstract:Modular product architectures can offer many benefits, but require carefully chosen interfaces as early as possible in the development process to exploit their full potential. Late or erroneous definition of modules and interfaces results in excessive design iterations and consequently causes unanticipated delays and cost overruns in product development. In this article, an improved method for product architecting (i.e. the identification and definition of modules and their interfaces) using clustering of component-based Design Structure Matrices (DSMs) is presented and demonstrated. Various researchers contributed to the improvement of clustering techniques in the past. However, the approaches used are mostly unsatisfactory with respect to the definition of modules for products resulting in suboptimal or even wrong definitions. In lieu of investigating single steps of DSM clustering, a comprehensive approach is presented in this article, covering all relevant aspects, from data acquisition, and handling ...
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information leaders in product development organizational networks social network analysis of the design Structure Matrix
IEEE Transactions on Engineering Management, 2006Co-Authors: D A Batallas, Ali A YassineAbstract:Many models of Product Development (PD) are concerned with managing the decomposition and integration of tasks, teams and subsystems transforming a conceptual idea into a finished product. Specifically, a PD process is formed of cross-functional teams continuously exchanging information on specified tasks to integrate the product's final Structure. Recently, it has been shown that large PD networks (e.g., tasks, teams, or components) follow a Scale Free Structure. That is, each PD network included hubs that control information flow. Nevertheless, there is no literature on the implications of these findings on PD management. As a consequence, the objective of this paper is two-folded. First, we examine a set of mathematical measures such as centrality and brokerage used in Social Networks Analysis (SNA) to identify critical players in PD networks. Second, we link these findings to insights and recommendations for the management of complex PD organizational networks; in particular, detection and role designation of information leaders based on the given PD network Structure
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complex concurrent engineering and the design Structure Matrix method
Concurrent Engineering, 2003Co-Authors: Ali A Yassine, Dan BrahaAbstract:Concurrent engineering (CE) principles have considerably matured over the last decade. However, many companies still face enormous challenges when implementing and managing CE practices. This is due to the increased complexity of engineering products and processes, on one hand, and the lack of corresponding CE models and tools, on the other hand. This paper focuses on four critical problems that challenge management while implementing CE in complex product development (PD) projects. We refer to these problems as: iteration, overlapping, decomposition and integration, and convergence problems. We describe these problems proposing a unified modeling and solution approach based on the design Structure Matrix (DSM) method, which is an information exchange model that allows managers to represent complex task relationships to better plan and manage CE initiatives.
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genetic algorithm design inspired by organizational theory pilot study of a dependency Structure Matrix driven genetic algorithm
Genetic and Evolutionary Computation Conference, 2003Co-Authors: D.e. Goldberg, Ali A Yassine, Yingping ChenAbstract:This study proposes a dependency Structure Matrix driven genetic algorithm (DSMDGA) which utilizes the dependency Structure Matrix (DSM) clustering to extract building block (BB) information and use the information to accomplish BB-wise crossover. Three cases: tight, loose, and random linkage, are tested on both a DSMDGA and a simple genetic algorithm (SGA). Experiments showed that the DSMDGA is able to correctly identify BBs and outperforms a SGA.
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architectural optimisation using real options theory and dependency Structure matrices
Design Automation Conference, 2002Co-Authors: David M Sharman, Ali A Yassine, Paul R CarlileAbstract:This paper outlines a methodology for optimising the multi-domain architecture of a relatively integrated system through an appropriate level of modularisation to maximise societal value created. This method is developed through the application of real options theory and the dependency Structure Matrix (DSM), and illustrated using a reference example of an industrial gas turbine.Copyright © 2002 by ASME
Carolyn Conner Seepersad - One of the best experts on this subject based on the ideXlab platform.
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a high definition design Structure Matrix hddsm for the quantitative assessment of product architecture
Journal of Engineering Design, 2012Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:As the field of engineering design matures, new techniques and methods are continuously being developed to conceptualise and analyse product architecture. These techniques and methods require product representations with higher sophistication, granularity, and fidelity. To address these needs, the high-definition design Structure Matrix (HDDSM) is presented as a new and evolved product representation model that captures a spectrum of interactions between components of a product, such that characteristics of product architecture can be assessed and compared. The HDDSM includes an interaction basis to capture a variety of standardised types of interactions and a hierarchical modelling method to facilitate modular, more efficient compilation of a design Structure Matrix with a high level of detail. To illustrate the types of quantitative analyses supported by the HDDSM, it is used as a foundation for quantifying the degree of nesting and identifying the presence of frameworks in product architectures – two c...
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the repeatability of high definition design Structure Matrix hddsm models for representing product architecture
ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC CIE2010, 2010Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:Product architecture has implications for product success that go beyond meeting basic customer needs or performance requirements. The mapping of functions to components and the interactions between them impacts the potential for using all or part of the product to build a family of products, the ease with which the product can be redesigned to meet previously unanticipated customer needs, and the way in which engineering design changes propagate during the design process. For practical applications of design theory, it would be beneficial to have a comprehensive and robust model that captures product architecture and can be used for multiple purposes. Some fields of design research have used variations of a Design Structure Matrix (DSM) to record the interactions between elements of a system. The High Definition Design Structure Matrix (HDDSM) has been proposed as a model that limits the subjectivity required from designers by capturing the existence of very specific types of interactions between product components. This work evaluates the repeatability of HDDSM models created by different examiners for a set of electromechanical products. The inter-rater agreement between HDDSM models created by pairs of examiners is determined by calculating the kappa agreement index for each type of component interaction. The results of this initial study demonstrate very encouraging levels of repeatabili ty across examiners for different types of products. Based on these results, recommendations are provided for creating objective models of product architecture and using such models for a number of exploratory research tasks, such as automated analysis of design guidelines.
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analysis of product flexibility for future evolution based on design guidelines and a high definition design Structure Matrix
Design Automation Conference, 2009Co-Authors: Andrew H Tilstra, Carolyn Conner Seepersad, Kristin L. WoodAbstract:The design of a product determines the flexibility of that product for future evolutions, which may arise from a variety of change modes such as new market needs or technological change. The energy, material, and information exchanged between components of a product along with the spatial relationships and movement between those components all influence the ability of that product’s design to be evolved to meet the new requirements of a future generation. Previous work has produced a set of guidelines for product flexibility for future evolution that have been shown to improve the ability of a design to be adapted when new needs arise. Although these guidelines are conceptually easy to understand, it is difficult to assess the extent to which a product follows the guidelines. This paper presents a systematic method to analyze the flexibility for future evolution of products based on selected guidelines. The High-Definition Design Structure Matrix is presented as a product representation model which captures sufficient interaction information to highlight potential design improvements based on the aforementioned guidelines. An interaction basis is used to facilitate the consistency and comparison of HD-DSM models created by different examiners and/or for different systems. The selected guidelines are interpreted in terms of the HD-DSM by creating analysis processes that relate to the characteristics described by the guideline. Two similar power screwdrivers are compared for flexibility for future evolution based on a quantitative analysis of their respective HD-DSMs.
Steven D Eppinger - One of the best experts on this subject based on the ideXlab platform.
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the Structure of devops in product service system development
Proceedings of the Design Society: International Conference on Engineering Design, 2019Co-Authors: Rajaram Srinivasan, Steven D Eppinger, Nitin JoglekarAbstract:We study a DevOps software development process for a Product-Service System (PSS) using a design Structure Matrix (DSM) representation. We find unique features such as nested, planned iterations at differing rates which are not evident in conventional engineering development projects. We describe the impact of integrating ongoing operations into a development process and identify some of the enablers that lead to adoption of a DevOps process. We conclude by discussing the implications of our findings and raise questions for further research.
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design Structure Matrix methods and applications
2012Co-Authors: Steven D Eppinger, Tyson R BrowningAbstract:Design Structure Matrix (DSM) is a straightforward and flexible modeling technique that can be used for designing, developing, and managing complex systems. DSM offers network modeling tools that represent the elements of a system and their interactions, thereby highlighting the system’s architecture (or designed Structure). Its advantages include compact format, visual nature, intuitive representation, powerful analytical capacity, and flexibility. Used primarily so far in the area of engineering management, DSM is increasingly being applied to complex issues in health care management, financial systems, public policy, natural sciences, and social systems. This book offers a clear and concise explanation of DSM methods for practitioners and researchers. The book’s four sections correspond to the four primary types of DSM models, offering tools for representing product architectures, organization architectures, process architectures, and multidomain architectures (which combine different types of DSM models to represent multiple domains simultaneously). In each section, a chapter introducing the technique is followed by a chapter of examples showing a variety of applications of that DSM type. The forty-four applications represent a wide range of industries (including automotive, aerospace, electronics, building, and pharmaceutical), countries (among them Australia, Germany, Japan, Turkey, and the United State), and problems addressed (modularity, outsourcing, system integration, knowledge management, and others).
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a predictive model of sequential iteration in engineering design
Management Science, 1997Co-Authors: Robert P Smith, Steven D EppingerAbstract:This paper presents a model describing sequential iteration, one of the fundamental solution processes experienced in complex engineering design projects. The model is based upon the design Structure Matrix representation and assumes that each individual design activity is of deterministic duration with probabilistic repetition, where the repeat probabilities are defined by the strength of the task coupling. Using the model, we are able to compute the expected duration of the iterative solution process, and to suggest an initial ordering of the coupled design tasks to minimize the expected duration. We conclude the paper with a discussion of limitations and several extensions to the sequential iteration model.
