Product architecture strategies and effects matrices for early evaluation and selection of product architectures
Product architecture decisions are made early in the product development process and have far-reaching effects. Unless anticipated through experience or intuition, many of these effects may not be apparent until much later in the development process, making changes to the architecture costly in time...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2024-01-01
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| Series: | Design Science |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2053470124000180/type/journal_article |
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| author | Scott E. Rice Benjamin C. Sannar Samuel A. McKinnon Tyson M. Humphrey Christopher A. Mattson Carl D. Sorensen Michael L. Anderson |
| author_facet | Scott E. Rice Benjamin C. Sannar Samuel A. McKinnon Tyson M. Humphrey Christopher A. Mattson Carl D. Sorensen Michael L. Anderson |
| author_sort | Scott E. Rice |
| collection | DOAJ |
| description | Product architecture decisions are made early in the product development process and have far-reaching effects. Unless anticipated through experience or intuition, many of these effects may not be apparent until much later in the development process, making changes to the architecture costly in time, effort and resources. Many researchers through the years have studied various elements of product architecture and their effects. By using a repeatable process for aggregating statements on the effects of architecture strategies from a selection of the literature on the topic and storing them in a systematic database, this information can then be recalled and presented in the form of a Product Architecture Strategy and Effect (PASE) matrix. PASE matrices allow for the identification, comparison, evaluation, and then selection of the most desirable product architecture strategies before expending resources along a specific development path. This paper introduces the PASE Database and matrix and describes their construction and use in guiding design decisions. This paper also provides metrics for understanding the robustness of this database. |
| format | Article |
| id | doaj-art-94cd7fdf23d841ac8e867393047f4156 |
| institution | OA Journals |
| issn | 2053-4701 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Design Science |
| spelling | doaj-art-94cd7fdf23d841ac8e867393047f41562025-08-20T02:36:02ZengCambridge University PressDesign Science2053-47012024-01-011010.1017/dsj.2024.18Product architecture strategies and effects matrices for early evaluation and selection of product architecturesScott E. Rice0Benjamin C. Sannar1Samuel A. McKinnon2Tyson M. Humphrey3Christopher A. Mattson4https://orcid.org/0000-0003-1324-4859Carl D. Sorensen5Michael L. Anderson6Department of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, United States Air Force Academy, Colorado Springs, Co, USAProduct architecture decisions are made early in the product development process and have far-reaching effects. Unless anticipated through experience or intuition, many of these effects may not be apparent until much later in the development process, making changes to the architecture costly in time, effort and resources. Many researchers through the years have studied various elements of product architecture and their effects. By using a repeatable process for aggregating statements on the effects of architecture strategies from a selection of the literature on the topic and storing them in a systematic database, this information can then be recalled and presented in the form of a Product Architecture Strategy and Effect (PASE) matrix. PASE matrices allow for the identification, comparison, evaluation, and then selection of the most desirable product architecture strategies before expending resources along a specific development path. This paper introduces the PASE Database and matrix and describes their construction and use in guiding design decisions. This paper also provides metrics for understanding the robustness of this database.https://www.cambridge.org/core/product/identifier/S2053470124000180/type/journal_article |
| spellingShingle | Scott E. Rice Benjamin C. Sannar Samuel A. McKinnon Tyson M. Humphrey Christopher A. Mattson Carl D. Sorensen Michael L. Anderson Product architecture strategies and effects matrices for early evaluation and selection of product architectures Design Science |
| title | Product architecture strategies and effects matrices for early evaluation and selection of product architectures |
| title_full | Product architecture strategies and effects matrices for early evaluation and selection of product architectures |
| title_fullStr | Product architecture strategies and effects matrices for early evaluation and selection of product architectures |
| title_full_unstemmed | Product architecture strategies and effects matrices for early evaluation and selection of product architectures |
| title_short | Product architecture strategies and effects matrices for early evaluation and selection of product architectures |
| title_sort | product architecture strategies and effects matrices for early evaluation and selection of product architectures |
| url | https://www.cambridge.org/core/product/identifier/S2053470124000180/type/journal_article |
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