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About 10,000 papers for “Design structure matrix”

Design Structure Matrix

Bing Wang, Farshad Madani, Xiaowen Wang et al. · Innovation, technology and knowledge management · 2013

Cited by 15

DSM METHOD – DESIGN STRUCTURE MATRIX

Dr. Sc. Amra, Talić Čikmiš, Kenan Varda · 2014

In this paper is presented the design structure matrix method for project management relations. This method differs from traditional methods of project management because it focuses on the presentation of information flow, and the effects that these flows have on the flow performance of the overall project. This method is used for solving problem in wind tunnel "Armfield C15-10", where is presented the experiment of fluid flow over the airprofiles. After selecting the parameters and determining their mutual dependence, and using software PSM 32 agrees DSM structural parameters, which can then rearrange in lower triangular form in order to minimize feedback within the design process. The final DSM matrix gives desired results and based on this results we optimize used parameters.

Cited by 0

Design Structure Matrix Methods and Applications

Steven D. Eppinger, Tyson R. Browning · The MIT Press eBooks · 2012

An introduction to a powerful and flexible network modeling tool for developing and understanding complex systems, with many examples from a range of industries. 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.

Cited by 60

Introduction to Design Structure Matrix Methods

The MIT Press eBooks · 2012

This chapter contains sections titled: The Complex World of Systems, What Is the DSM?, Matrix-Based Tools for Modeling System Architectures, Types of DSM Models, A Brief History of DSM, Structure of This Book, References

Cited by 7

Axiomatic Design and Design Structure Matrix for Circular Building Design

Marianna Marchesi · Lecture notes in civil engineering · 2024

Abstract The study aims to propose the integration of Axiomatic Design (AD) and Design Structure Matrix (DSM) methods to support the implementation of building reversibility within circular building design (CBD). In CBD, strategies for building reversibility have been formulated, but available tools mainly support design evaluation in the late stages. On the other side, in engineering design, methods to support reversibility in early design stages are available. AD and DSM are two matrix-based product modelling methods that are used in the analysis and modelling of relations in complex systems from the concept design. AD guides the designers in modelling the relationships between functional elements and physical components in a structured manner from the early design stages. DSM provides a method for modelling physical relationships among the physical components and groups them into modules. Despite the potential benefits of using these matrix-based design methods, previous studies on building reversibility within CBD have not yet explored this proposition. The study intends to place the theoretical premises for the application of AD combined with DSM within CBD for building reversibility. The study applies theory-oriented research by exploring, collecting, and evaluating relevant information from different theoretical and practical sources to formulate propositions on building reversibility within CBD. Propositions will be tested in future real-world applications while detecting challenges and limitations to assess effectiveness in supporting building reversibility within CBD.

Cited by 1Open access

Using the Design Structure Matrix for Space System Design

Jintin Tran, Mike Stowe, Markus Plattner et al. · 2019

In the frame of space development projects, system design has to cope with large sets of requirements that are dependent from each other. The complexity becomes even higher since interdependencies often have a multidisciplinary character. The overall system complexity makes it difficult for design teams to intuitively understand the interactions of each physical domain not to mention the interdependencies of analyses and tasks. Dependency Structure Matrix (DSM) methods are used to represent the information flow of couplings as well as explore “what-if”-scenarios in the sense of trade-offs. Graphical representations of interdependencies allow the designers to deliberately vary couplings. In this paper we demonstrate a successful application of DSM methods for the design of the Wide Field Imager, a payload instrument on board ESA ATHENA.

Cited by 0Open access

Design Structure Matrix Approach Applied to Lunar Habitat Design

Shuqi Li · Buildings · 2023

Lunar habitat design is a complex endeavor characterized by complicated task-composition, numerous internal iterations, and intense task-coupling. The design process of assembled building in terrestrial construction and the system composition of lunar habitats have been constructed. However, there is insufficient experience to fully understand lunar habitat design missions and likewise there is insufficient coordination between architects and various disciplines. The task flow for sequencing optimization can be determined using a design structure matrix (DSM), which is widely used in engineering. The DSM can reveal necessary interfaces within the lunar habitat system as per relevant interface variables and processes. By decomposing the lunar habitat design process, an initial activity-based DSM is established in the present study. Informational interactions between each design task and its respective intensity are statistically investigated to clarify them across the four dimensions of energy, space, materials, and information. A sequencing algorithm is applied to optimize the design process. Finally, 20 design tasks of lunar habitat design are clarified among four phases: Pre-planning, spatial design, environmental design, and optimization. Related disciplines should coordinate in the design process according to the optimization results, and use the optimized task coupling relationship to build the requirement model and design model in an orderly manner to improve the design efficiency.

Cited by 4Open access

Study of modular design method for frame structure utilizing Design Structure Matrix

Yasuo ASAGA, Hidekazu NISHIGAKI · Sekkei Kougaku, Shisutemu Bumon Kouenkai kouen rombunshuu/Sekkei Kogaku, Shisutemu Bumon Koenkai koen ronbunshu · 2022

In general, it is mechanically important to exclude areas with high loads as module boundaries because the module boundaries, which are component boundaries, are places that contribute to stiffness and strength. In conventional modularization, the integration of parts for productivity and cost reduction has been the mainstream and the viewpoint regarding the reduction of mechanical properties against module boundaries have not been sufficiently considered. Additionally, module candidates are extracted only from the geometric connecting information of parts. In this study, we propose a modular design method of frame structure that suppresses the decrease of mechanical performances by using DSM (Design Structure Matrix) analysis. Finite element meshes with a unit smaller than the existing parts are considered as a part, which enables precise extraction of module boundaries. Furthermore, this method adds to the DSM not only connecting information but also physical indicators of strain energy or von mises stress, and extracts module boundaries where DSM connecting strength and load state is low using spectral clustering based on graph theory. In the example of a simple frame structure, it was shown that module boundaries can be extracted in areas of low load and modularization is possible without reducing mechanical performances such as stiffness.

Cited by 0Open access

Inhibition of Matrix Metalloproteinases: Structure Based Design

Arie Zask, Jeremy I. Levin, Loran M. Killar et al. · Current Pharmaceutical Design · 1996

Matrix metalloproteinases (MMP) have been implicated in a variety of diseases in which the destruction of connective tissue is an important pathological event. These include osteo and rheumatoid arthritis, tumor metastasis and angiogenesis, and corneal ulceration. As a result, there has been a great deal of activity directed towards the design of MMP inhibitors as therapeutic agents for the treatment of these conditions. Progress in the field has now evolved to a degree where potent, low molecular weight, orally active inhibitors have been discovered and advanced to clinical trials. While a majority of inhibitors are dipeptide derivatives, a non-peptide, orally active inhibitor has recently been reported. Some success has also been achieved in the design of subtype selective MMP inhibitors. The elucidation of X-ray and 0NMR structures of several MMPs, and the ability to create homology models of others has provided an understanding of some of the structural requirements leading to potency and specificity. Herein is a review of recent advances in the biology and chemistry of MMPs and MMP inhibitors, including the association of MMPs with specific disease processes, structure activity relationships of MMP inhibitors and factors affecting enzyme specificity and their correlation with MMP structure.

Cited by 75

Improved Clustering Algorithm for Design Structure Matrix

Fredrik Börjesson, Katja Hölttä‐Otto · 2012

For clustering a large Design Structure Matrix (DSM), computerized algorithms are necessary. A common algorithm by Thebeau uses stochastic hill-climbing to avoid local optima. The output of the algorithm is stochastic, and to be certain a very good clustering solution has been obtained, it may be necessary to run the algorithm thousands of times. To make this feasible in practice, the algorithm must be computationally efficient. Two algorithmic improvements are presented. Together they improve the quality of the results obtained and increase speed significantly for normal clustering problems. The proposed new algorithm is applied to a cordless handheld vacuum cleaner.

Cited by 49

MATRIX STRUCTURE FOR INFORMATION-DRIVEN POLARIMETER DESIGN

Andrey S, Andrey S. Alenin, Russell Chipman et al. · 2015

Rights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

Cited by 0

Process integration using the design structure matrix

Tyson R. Browning · Systems Engineering · 2002

Abstract A process, as a kind of system, derives its added value from the relationships among its elements (e.g., activities). For a group of activities to be truly integrated (versus merely aggregated), the flow of deliverables among them must be well defined, agreed to, and committed to. Engineering processes are especially complex because of the large number of interdependencies among the activities, as many types of information flow to many destinations. A process model of what actually flows must be extracted from the existing, implicit way work really gets done. Since this requires getting “close” to where work is actually done, it is beyond the ability of a single, centralized group to build the entire model. Instead, a number of process “puzzle pieces” must be integrated into a single process model that will have more holistic descriptive, analytical, and prescriptive value. (The systems engineering “V” model applies to processes as well as to products.) This paper applies a powerful technique for representing and analyzing complex processes, the design structure matrix (DSM). The paper shows how to use the DSM to display both internal and external inputs and outputs, thereby defining the “edges” of the process puzzle pieces so they can be assembled to form large, integrated processes where value can flow. Process definition and integration is akin to “mapping the genome” of how work is efficiently and effectively accomplished across disciplines and organizations. It is an important enabler of process understanding and improvement. © 2002 Wiley Periodicals, Inc. Syst Eng 5: 180–193, 2002

Cited by 141

Product configuration analysis with design structure matrix

Petri Helo · Industrial Management & Data Systems · 2006

Purpose Product configurator is a sales and production‐planning tool that helps to transform customer requirements into bills‐of‐materials, lists of features and cost estimations. The purpose of this paper is to introduce a method of how to analyse sales configuration models by using a design structure matrix (DSM) tool. By applying the DSM techniques, the sales configuration managers may sequence the product configuration questions and organize the connection to production. Design/methodology/approach First, the paper explains a sales configuration system structure from published academic and non‐academic works. These sources employ both theoretical and practical views on the topic of computer‐based sales expert systems. Second, the paper demonstrates an application of using DSM for configuration modelling. Findings The current sales configuration approaches include constraint‐based, rules‐based, and object‐oriented approaches. Product description methods vary, but the general problem remains the same: the configuration process should be designed in such a way that customer selections do not affect the previous selections. From the user point of view, answering the questions should be smooth and fast. In turn this will lead to the growing importance of building more effective product configuration models. DSM offers a systematic way to organise customer interface in sales configuration systems. Research limitations/implications This paper analyses how DSM could help in planning product configuration modelling. Comparison of different sequences is presented. The examples used are hypothetical, but illustrate the suitability of DSM analysis. Companies are trying to establish easily configured product models, which are fast, flexible and cost‐effective for adjustments and modifications. Use of DSM may help in the roll‐out of sales configuration projects. DSM may also be used as a quick view to represent the complexity of product configurability. The future needs for configuration tools will be focused towards product model management from the technical limitations of different data storage approaches. Practical implications Configurator software creates product variants, which are logical descriptions of physical products. Variants have parameters which describe the customer‐made selections. The parameter selections may have interconnections between the choices. Some selections may affect further selections and some combinations may not be allowed for incompatibility, cost or safety reasons. There are several commercial software packages available for creating product configurations. Product description methods vary, but the general problem remains the same: the configuration process should be designed in such a way that customer selections do not affect the previous selections. Answering the questions should be smooth and fast. Configuration of complex products, for instance, airplanes, may include several sub‐systems and have various loops within the quotation process. The use of DSM may help in the roll‐out of sales configuration projects. DSM may also be used as a quick view to represent the complexity of product configurability. Originality/value The paper helps both researchers and practitioners to obtain a clearer view on the development of sales configuration systems and the potential of systematic DSM‐based product model analysis.

Cited by 56

Integration of Axiomatic Design and Design Structure Matrix for Product Design

Dun Bing Tang, G.J. Zhang, Sheng Dai · Advanced materials research · 2008

Axiomatic design and design structure matrix (DSM) are two popular design methods at the moment, while most related researches only apply the basic ideas of axiomatic design or DSM to some cases. This paper first analyses the disadvantages of both axiomatic design and DSM. After deep investigations, the paper then puts forward that there are strong complementarities between axiomatic design and DSM. Based on the complementarities between axiomatic design and DSM, it is proposed that axiomatic design’s design matrix (DM) can be transformed into corresponding DSM for structural evaluation. In this way, axiomatic design and DSM can benefit from each other. The logic of integration between axiomatic design and DSM is interpreted in this paper. A computer aided conceptual design system has been developed to enable the integration of axiomatic design and DSM.

Cited by 4

Integration of Axiomatic Design and Design Structure Matrix for Product Design

D. B. Tanga, G. J. Zhang, S. Dai · 2016

Abstract. Axiomatic design and design structure matrix (DSM) are two popular design methods at the moment, while most related researches only apply the basic ideas of axiomatic design or DSM to some cases. This paper first analyses the disadvantages of both axiomatic design and DSM. After deep investigations, the paper then puts forward that there are strong complementarities between axiomatic design and DSM. Based on the complementarities between axiomatic design and DSM, it is proposed that axiomatic design’s design matrix (DM) can be transformed into corresponding DSM for structural evaluation. In this way, axiomatic design and DSM can benefit from each other. The logic of integration between axiomatic design and DSM is interpreted in this paper. A computer aided conceptual design system has been developed to enable the integration of axiomatic design and DSM.

Cited by 0

Usability of the design structure matrix for automotive design engineering

Muhammad Adrees · Figshare · 2021

In this thesis the author discusses the Design Structure Matrix (DSM) as a best practice. The DSM provides project management structure, develop and modularises the systems level design of products, performs project scheduling, tasks interdependency, resource allocation, dependent tasks planning, and provides proper communication and coordination structure. The DSM tool is applied to two case studies of the design of a gasoline/electric hybrid vehicle power train and one case study of assembly design, with concentrated emphasis on the recommendations on how the specific cases in this thesis can benefit. A novel analytic feature Relative Significance Summation Clustering (RSSC) of the DSM is also identified, which appears to be otherwise unreported in the literature. The case studies analysis demonstrates that the DSM tool can be used to develop a deeper understanding of the system level design, project management, and assembly design. The DSM tool was successful at providing a representation of many of the issues and insights identified in the case study analysis.

Cited by 3Open access