Journal articles: 'Design Structure Matrix (DSM)'

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Tang, Dun Bing, G. J. Zhang, and S. Dai. "Integration of Axiomatic Design and Design Structure Matrix for Product Design." Advanced Materials Research 44-46 (June 2008): 421–28. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.421.

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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.

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Zhu, R. M., and Dun Bing Tang. "Product Development Process Integration Using Design Structure Matrix." Advanced Materials Research 118-120 (June 2010): 800–804. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.800.

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. The Design Structure Matrix (DSM) is becoming a popular representation and analysis tool for system and process modelling. A DSM displays the relationships between components of a system in a compact, visual, and analytically advantageous format which is a square matrix with identical row and column labels. The main goal in basic DSM analysis is to minimize feedbacks by restructuring or re-architecting the process, which is to say by resequencing the rows and columns of the matrix. This widely practiced initial step in analysis is called partitioning, block diagonalization, or block triangularization, and it involves an algorithm for getting the DSM in an upper-triangular form to the extent possible, with a minimum number of subdiagonal marks pulled as close to the diagonal as possible and grouped in blocks. As a consequence, we have to identify the activities which are coupled, the loops and reorganize the matrix in order to reduce the feedbacks. An application example has been presented to illustrate the power of DSM for product development process integration.

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Li, Shuqi. "Design Structure Matrix Approach Applied to Lunar Habitat Design." Buildings 13, no. 5 (May 15, 2023): 1284. http://dx.doi.org/10.3390/buildings13051284.

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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.

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Yang, Qing, and Er Ling Tang. "Optimizing Product Development Projects Based on the Clustered Product Design Structure Matrix (DSM)." Applied Mechanics and Materials 496-500 (January 2014): 582–85. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.582.

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In order to integrate the process structure with the product structure in product development (PD) projects, this paper proposes a quantitative model for measuring the dependency strength between activities based on the dependency relationship in the product Design Structure Matrix (DSM). Utilizing the quantitative model and the Multi-Domain Matrix (MDM) between process and product domain, the corresponding process DSM is obtained. Furthermore, this paper presents a sequencing optimization method for the process DSM based on rework probability DSM matrix and rework impact DSM matrix and a clustering method for the product DSM. An example is provided to illustrate the utility of the models. The optimization results yield several managerial insights, including: optimize product components and activities simultaneously, how product structure impact on PD process structure and its schedule.

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Yan, Ji Hong, and Chun Hua Feng. "Sustainability-Oriented Product Modular Design Using Design Structure Matrix (DSM) Method." Applied Mechanics and Materials 128-129 (October 2011): 1468–71. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1468.

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With increasing sustainable development consciousness, sustainable design plays an important role not only in design phase but also in manufacturing process. This paper proposes a modular design methodology for achieving sustainable design as well as fulfilling functional requirements. Factors related to function and sustainability of products such as material, manufacturability, component life and so on are defined as modular drivers. Design structure matrix, a structured method which has advantages on representing and analyzing interaction relations among system elements, is employed to establish correlation matrix between components. K-means algorithm is used to integrate the basic components into design modules based on their correlation distance. Furthermore, an evaluation model is established for assessing sustainability of modular products. Finally, a reduction gear is used as a case study example.

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Yang, Qing, and Zhi Lin Liu. "Modeling the Influence of Design Modification on Product Development Projects Based on Structure Methods." Applied Mechanics and Materials 599-601 (August 2014): 2202–5. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.2202.

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This paper proposes a structure method integrating Design Structure Matrix (DSM) and Quality Function Development (QFD) to analyze the impact of design modification on Product Development (PD) Projects. Firstly, we build a QFD to represent the relationship between functional requirements and design parameters for quantifying the influence of function modification on design parameters, product and process. And a model of measuring dependency strengths in the function DSM is presented. Secondly, the model deducing a derived DSM matrix from a known DSM is built based on Multi-Domain Matrix (MDM). Finally, the derived process DSM is conducted sequence optimization.

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Li, Xiang, Bo Cheng Zhao, Xue Qing Li, Shen Hua Zhou, Hai Yu Tang, and Zhi Hong Sun. "Innovative Design of Circular Loom Based on Integration of Axiomatic Design and Design Structure Matrix." Advanced Materials Research 940 (June 2014): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amr.940.197.

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A new kind of three-dimensional (3D) circular loom was advanced. With the help of the integration theory of the Axiomatic Design (AD) and Design Structure Matrix (DSM), the whole system of the 3D circular loom was well designed. It not only can weave nylon yarn and aramid yarn which have good wear-resistance property, but also can weave special fibers without serious damage such as carbon fibers which are fragile. And based on this, one case was used to present the theoretical derivation of compound design matrix AD and DSM. Some schemes of mechanical design were proposed to solve the current problems in the process of carbon fiber weaving.

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Nguyen, Thanh Cong, and Yao Jin. "Modeling the Collaborative Design of the Automotive Powertrain System Based on the Design Structure Matrix." Applied Mechanics and Materials 789-790 (September 2015): 1311–16. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.1311.

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This paper examines the application of proposed Design Structure Matrix (DSM) by modeling the collaborative design of the Automotive Powertrain System. A task of the whole design process is divided into several levels and some specific design tasks. Respectively, the flow diagram is set up based on the DSM principle. In order to optimize the design process and to shorten the development cycle, detailed analysis and reconstruction of DSM were performed by eliminating iterative design process.

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Hoffmann, Peter, Yutaka Nomaguchi, Keishiro Hara, Kana Sawai, Ingenuin Gasser, Myriam Albrecht, Benjamin Bechtel, et al. "Multi-Domain Design Structure Matrix Approach Applied to Urban System Modeling." Urban Science 4, no. 2 (June 21, 2020): 28. http://dx.doi.org/10.3390/urbansci4020028.

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Modeling the urban system for urban health and well-being with the aim of finding ways to optimize the well-being of urban dwellers is a complex task. Different modeling approaches that consider specific parts of the urban system, e.g., environmental stressors, urban society, and urban morphology, need to be integrated. The conceptual model of health-related urban well-being (UrbWellth) has been constructed to provide a structure for an integrated modeling framework. However, interfaces between the different modeling approaches were not sufficiently identified until now. The challenge to specify and operationalize these interfaces is met by using the Design Structure Matrix (DSM) concept, which is widely used in design engineering. It is used here to identify necessary interfaces within the urban system by determining the relevant interface variables and processes. The conceptual model for UrbWellth is used to construct a DSM. The results of a clustering of this UrbWellth-based DSM reveal that the structure of the conceptual model is indeed suitable to serve as a basis for an integrated model. Further, a Multi-Domain DSM (MDDSM), which is an extension of the DSM based on expert knowledge from individual modelers, identified the interface variables for the integrated model components as well as the processes for which different modeling approaches need to be coordinated. Moreover, the approach based on MDDSM identified processes that are not yet covered by the available modeling approaches.

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Amalia, Ariani, M. Dachyar, and Farizal. "Scheduling of Aircraft Design Project: A Comparison of Critical Path Method, Design Structure Matrix and Genetic Algorithm Approaches." MATEC Web of Conferences 248 (2018): 03011. http://dx.doi.org/10.1051/matecconf/201824803011.

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The purpose of this study to minimize the overall duration of aircraft design project in Indonesia. This study proposes a combination method of Design Structure Matrix (DSM) and Genetic Algorithm (GA) for scheduling aircraft design project activities. DSM is used to identify the information flow between project activities. GA use reworks data, which was the result output of DSM, and activity duration to optimize the task sequence by considering the human resource constraints. A comparative analysis was conducted between the schedule based on DSM and GA and schedule based on Critical Path Method. Combination of DSM and GA obtained 63 days shorter project durations compared to CPM. This research is convenient for design projects scheduling with limited resources that can be obtained by using alternative methods other than traditional methods.

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Boudouh, Toufik, and Olivier Grunder. "A New Algorithm for the Optimization of the Design Process Using the Design Structure Matrix." Applied Mechanics and Materials 760 (May 2015): 39–44. http://dx.doi.org/10.4028/www.scientific.net/amm.760.39.

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This Design Structure Matrix is a method and a tool used to capture, analyze and optimize iterations in the design process. It has been widely used over the past two decades by researchers from both academia and industry. DSM is well suited to identify iterations in the design process. Many heuristics were developed to deal with DSM in order to reduce the number of iterations by rescheduling the tasks of the design process. These heuristics are based on a process called partitioning. These heuristics give generally an approached solution but not the optimal one. In this paper we introduce a new algorithm in order to get the exact solution of the partitioning process using linear programming.

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Lee, Jonathan, Whan-Yo Deng, Wen-Tin Lee, Shin-Jie Lee, Kuo-Hsun Hsu, and Shang-Pin Ma. "Integrating Process and Work Breakdown Structure with Design Structure Matrix." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 5 (July 20, 2010): 512–22. http://dx.doi.org/10.20965/jaciii.2010.p0512.

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In software development, project plans document scope, cost, effort, and schedule, guide project managers, and control project execution. Developing a project plan without incorporating how an organization doing things - i.e., organizational culture - may lead to project failure. To ensure stable process performance and to benefit from organizational culture, it is crucial that organizational processes be taken into account in project planning. Organizational processes enable stable process performance across an organization and provide a basis for cumulative, long term benefits to the organization. In proposing a systematic approach that supports bi-directional transformation between processes and the Work Breakdown Structure (WBS), we propose Process2WBS and WBS2Process to assist project managers in project planning with an organization’s set of standard processes. Process2WBS consumes processes and transforms them into a WBS with Design Structure Matrix (DSM) analysis, and WBS2Process transforms the WBS with project-specific information into executable processes expressed in XPDL.

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Wang, Yu, Suping Bian, Ling Dong, and Hongxian Li. "Multiresolution Modeling of a Modular Building Design Process Based on Design Structure Matrix." Buildings 13, no. 9 (September 14, 2023): 2330. http://dx.doi.org/10.3390/buildings13092330.

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Currently, modular building is undergoing vigorous development in China, and has provided a significant advantage in many fields, but its quality is difficult to guarantee. The key is to improve the design process, shorten the development cycle, and enhance competitiveness. Therefore, it is necessary to establish and optimize the design process of modular buildings. This article was based on the DSM and adopted a parallel design to model the modular building design process. Based on this, the design process was analyzed and optimized to shorten the development cycle and reduce costs. At the same time, considering the differences in attributes between different stages of the modular building design process, a DSM model with different resolutions was constructed based on the content and interrelationships of modular building design. The schedule and cost of the design process were evaluated through simulation, the differences between different resolution models were compared, and a more reliable estimate of the schedule and cost of the design process was obtained. Considering the workload and difficulty of high-resolution modeling, an approximate estimation method based on low-resolution modeling was proposed to alleviate the dependence on high-resolution models and modeling costs to some extent, thereby effectively improving the predictability of the design process and providing necessary reference for product design management personnel.

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Sari, R. M., A. R. Matondang, K. Syahputri, Anizar, I. Siregar, I. Rizkya, and C. Ursula. "Sequencing of Dust Filter Production Process Using Design Structure Matrix (DSM)." IOP Conference Series: Materials Science and Engineering 288 (January 2018): 012124. http://dx.doi.org/10.1088/1757-899x/288/1/012124.

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Browning, Tyson R. "Systems Architecting and Program Management with the Design Structure Matrix (DSM)." INCOSE International Symposium 21, no. 1 (June 2011): 2922–3004. http://dx.doi.org/10.1002/j.2334-5837.2011.tb01306.x.

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Browning, Tyson. "Systems Architecting and Program Management with the Design Structure Matrix (DSM)." INCOSE International Symposium 23, no. 1 (June 2013): 1632. http://dx.doi.org/10.1002/j.2334-5837.2013.tb03120.x.

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Li, Hai Tao, Bo Yang, Wei Wang, and Chang Qing Gao. "Resource Conflict Resolution Strategy in Collaborative Design Environment." Advanced Materials Research 542-543 (June 2012): 255–60. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.255.

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Shortcomings of current conflict resolution methods in solving the problems of disordered competition for design resource in networked design environment are analyzed. By introducing the design structure matrix (DSM) to the planning process of design task, a mathematic description model in collaborative design considering the conflict causes as resource conflict, process conflict and design conflict is given. The reconstruction method of the DSM as well as the DSM based matrix search algorithm is given, based on which the problem of design locking and long waiting because of limited resource in the collaborative design process can be successfully solved. Finally, the design of a bridge crane is used as an example to demonstrate the successful application of the proposed resource conflict resolution strategy in collaborative Design environment.

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Zhang, Zhi Chuang, Xiao Ping Hu, and Chang Qing Xi. "A DSM-Based Multiple-Domain Modeling of Product Information." Applied Mechanics and Materials 201-202 (October 2012): 947–50. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.947.

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Knowledge cannot be promptly shared is the main problem in current ship design processes. Knowledge sharing depended on complete expression of the product information. Therefore, the project management tool—design structure matrix was applied in ship design. Three domains of design structure matrixes including products, tasks and people were built; three domain mapping matrixes which contain each two of the three fields were built too; finally the multiple-domain matrix including these three domains were built. The models established the theory basis for the development of collaborative design prototype system.

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Hilmy, Irfan, Erry Yulian T. Adesta, Nur’atiyah Najwa binti Samsul Bahrim, Aini Nurrasyidah binti Azhar, and Siti Fatimah binti Mohd Shahar. "Development of Design Structure Matrix of Product Architecture Case Study: Multi Purpose CNC Router." Advanced Materials Research 1115 (July 2015): 606–9. http://dx.doi.org/10.4028/www.scientific.net/amr.1115.606.

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In developing any engineering product, it is crucial to develop product architecture of the system. An engineering team who responsible in developing different module should work together in order to obtain product architecture as a blueprint of the project. It is common to breakdown system or product into smaller elements as follows: subsystems, modules and component and define the interactions between components and subsystems. In order to achieve the performance of the system as a whole, these elements must be integrated to work together. One of the method to develop product architecture is Design Structure Matrix (DSM). The use of DSM for Development of Product architecture with case study a CNC router platform is presented. Using DSM, order of product development can be optimized and any form of wastes can be eliminated in the design stage.

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Zhang, Yong, Guo Ning Qi, Yang Jian Ji, Li Wei Song, and Peng Jiang. "Modular Product Family Design for Pumping Unit Based on Design Structure Matrix." Advanced Materials Research 479-481 (February 2012): 2420–23. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.2420.

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A new method was introduced in this paper, which would help to build the modular product family for pumping unit. Design Structure Matrix (DSM) was used in the process of the pumping unit’s module planning avoiding from the disadvantages of inconsistent rules and improper scale. Taking the case of the beam-pumping unit, some specific techniques were discussed in this paper such as DSM’s building, tearing and clustering as well as the analysis of their results. And the product family of this kind of beam-pumping unit was designed under the result of the modules and the principle of tabular layouts of article characteristics. This study could be widely used as a kind of quantitative method for modular design of other products.

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Wan, Wei Hong, Jing Xu, Ping Lu Chen, and Mu Hua Liu. "Classification Modeling of Parts for Complex Machinery Product Based on Design Structure Matrix." Applied Mechanics and Materials 680 (October 2014): 539–42. http://dx.doi.org/10.4028/www.scientific.net/amm.680.539.

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In order to reuse existing resources effectively and meet the specific demands of different users, it is necessary to study the classification modeling methods of parts for guiding product design and improving product quality. Firstly, the hierarchy theories of classification modeling are analyzed based on Design Structure Matrix (DSM). Then, the process of classification modeling is presented for parts of complex machinery product based on DSM modeling method. Meanwhile, the steps and notes to build classification structure were described in details. The results show that the theories and methods presented in this article could provid guidances for classification modeling of parts and realize efficient reuse and quick retrieval of product data for complex machinery manufactories.

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Nishimoto, Akihiro. "3208 Study on product design process modeling with integrated Design Structure Matrix." Proceedings of Design & Systems Conference 2008.18 (2008): 480–83. http://dx.doi.org/10.1299/jsmedsd.2008.18.480.

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Leu, Sou-Sen, Theresia Daisy Nattali Suparman, and Cathy Chang-Wei Hung. "An Exploratory Study on Optimal Iterative Design Schedules with the Consideration of Design Quality and Resource Constraints." Sustainability 13, no. 8 (April 20, 2021): 4584. http://dx.doi.org/10.3390/su13084584.

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The classical dependency structure matrix (DSM) can effectively deal with iterative schedules that are highly coupled and interdependent, such as the design process and the concurrent process. Classical DSM generally follows the assumption that the least iteration occurs to achieve the shortest completion time. Nevertheless, the assumption may not hold because tasks ought to be re-visited several times if the design qualities do not meet the requirements. This research proposed a novel iterative scheduling model that combines the classical DSM concept with quality equations. The quality equations were used to determine the number of tasks that ought to be re-visited for fulfilling quality requirements during the iterative design process. Moreover, resources for concurrent activities are generally limited in the real world. Resource allocation should be incorporated in scheduling to avoid the waste and shortage of resources on a design project. This research proposed a new iterative scheduling model based on the classical DSM to optimize the iterative activities’ structure in terms of minimizing completion time with the consideration of design quality under resource constraints. A practical design schedule was introduced to demonstrate the applicability of the proposed DSM algorithm.

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Li, Zhaoxuan, Derrick Tate, Thomas McGill, John Griswold, and Ming-Chien Chyu. "Application of Design Structure Matrix to Simulate Surgical Procedures and Predict Surgery Duration." Minimally Invasive Surgery 2021 (December 6, 2021): 1–12. http://dx.doi.org/10.1155/2021/6340754.

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Background. The complexities of surgery require an efficient and explicit method to evaluate and standardize surgical procedures. A reliable surgical evaluation tool will be able to serve various purposes such as development of surgery training programs and improvement of surgical skills. Objectives. (a) To develop a modeling framework based on integration of dexterity analysis and design structure matrix (DSM), to be generally applicable to predict total duration of a surgical procedure, and (b) to validate the model by comparing its results with laparoscopic cholecystectomy surgery protocol. Method. A modeling framework is developed through DSM, a tool used in engineering design, systems engineering and management, to hierarchically decompose and describe relationships among individual surgical activities. Individual decomposed activities are assumed to have uncertain parameters so that a rework probability is introduced. The simulation produces a distribution of the duration of the modeled procedure. A statistical approach is then taken to evaluate surgery duration through integrated numerical parameters. The modeling framework is applied for the first time to analyze a surgery; laparoscopic cholecystectomy, a common surgical procedure, is selected for the analysis. Results. The present simulation model is validated by comparing its results of predicted surgery duration with the standard laparoscopic cholecystectomy protocols from the Atlas of Minimally Invasive Surgery with 2.5% error and that from the Atlas of Pediatric Laparoscopy and Thoracoscopy with 4% error. Conclusion. The present model, developed based on dexterity analysis and DSM, demonstrates a validated capability of predicting laparoscopic cholecystectomy surgery duration. Future studies will explore its potential applications to other surgery procedures and in improving surgeons’ performance and training novices.

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Yuan, Hui Lin, and Ding Wei Wang. "Application of DSM Topological Sort Method in Business Process." Advanced Materials Research 430-432 (January 2012): 1188–91. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1188.

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Because of its unique role in the information flow analysis, the design structure matrix (DSM) is widely used to the optimization of the organization, parameter and other aspects. Its matrix representation, the dynamic features make it possible that be applied to optimization of business processes, but so far the DSM in the business process application is also rare. In the paper, DSM is tentatively applied to topological sort in the business process and is compared to the traditional topological method. These explorations for the application of the DSM in the optimization of business processes are positive.

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Assawarungsri, Tossaporn, and Nattawut Janthong. "An Integration Matrix for Investigating the Impact of Design Changes in Mechatronic Products." Designs 7, no. 1 (January 18, 2023): 16. http://dx.doi.org/10.3390/designs7010016.

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In the design process, design changes are unavoidable due to the need to meet customers’ requirements and support future change through technology development. Although components are supposed to be renewed within existing designs, these changes can propagate into other parts due to their interfaces. Propagation makes it difficult for a designer to identify these changes. This study aimed to introduce the integration matrix (I-DSM), an approach to the design of mechatronic products that involves determining changes in existing products with an axiomatic design. Reverse zigzagging was used to break down the entire product to its lowest level. A design matrix (DM) was constructed and then transformed into a design structure matrix (DSM). The I-DSM consists of three layers: information technology, electrical technology, and mechanical technology. The breadth-first search (BFS) method was employed to ascertain the change propagation path in order to consider it. After this, the changing workload was analyzed, and the decision-making process was used to determine the best possible option. Finally, an automatic guided vehicle was used in a case study to demonstrate the use of this methodology by showing how changes in a product can affect it and how a designer can prioritize activities.

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Zhang, Jing, Fengyan Li, and Xiangmin Zhang. "Decoupling Strategy and Modular Design for Loosely Coupled Organizations." Discrete Dynamics in Nature and Society 2021 (August 25, 2021): 1–9. http://dx.doi.org/10.1155/2021/8490335.

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Under the technological innovation network, loosely coupled organizations featured by weak connections and relative independence have formed through the dynamic division of labor and knowledge sharing of enterprises. The loosely coupled organizations greatly enhance cooperation performance, but face problems such as poor flexible matching between partners and low innovation efficiency. Meanwhile, modular organizations can connect with other organizations to realize a specific operational goal via contracts and carry prominent features such as collaborative innovation, adaptive division of labor, and dynamic capabilities, offering an effective network governance model for collaboration between enterprises. Based on the two dimensions (looseness and coupling) between organizations, this paper uses the design dependency matrix (DDM) to map demands for functional/design modules, under the division of labor within products and the decisions on product modules, and preliminarily decouple the functional/design modules. Based on clustering DDM, a decision structure matrix (DSM) was constructed, and the clustering decoupling algorithm was adopted to create clustering design structure modules. Referring to these clustering modules, intraproduct division of labor was performed to realize the modular cooperation between organizations.

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Saxena, Sachin Kumar, Garima Krishna, and Sidhartha Rathi. "AN ANALYTICAL METHOD TO CALCULATE COST BASED ON DESIGN STRUCTURE MATRIX FOR UNPLANNED TASKS." International Journal of Engineering Science and Humanities 3, no. 1 (July 1, 2013): 1–6. http://dx.doi.org/10.62904/sxb0zq88.

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A design structure matrix (DSM) model is constructed to capture the relationship between members, and it can be used to searching better cost product. Other conventional methods such as PERT/ CPM and Gantt chart also have been presented to find the optimal cost and time but are failed to interpret the overlapping and iteration inside any project therefore DSM has been introduced to represent the vivid scenario of information flow in any project inside the market. Several researches have been done to calculate thecost of every planned task for any project. But no method has been proposed for the unplanned tasks yet. This paper introduces an analytical method to calculate cost based function for design structure matrix for unplanned tasks. For unplanned tasks we mean tasks which costs are not predicted earlier or time is not described properly. The advance simulation is used to represent the results and comparisons for describing the affect of ignorance of unplanned tasks to find out the final cost of entire project.

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Yao, Xifan, Jifeng Zhou, Yongxiang Li, and Erhui Liu. "An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/4340916.

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To improve the solution efficiency and reliability of multidisciplinary design optimization (MDO), an enhanced MDO approach, called sequenced collaborative optimization (SCO), is proposed. The proposed approach introduces the design structure matrix (DSM) to describe the coupling effects among disciplines and aggregates those mutually coupling disciplines into the strong tie groups among similar ones and the weak tie among heterogeneous ones through clustering algorithms. Further, those in the same group are sequenced by the DSM division algorithm. Moreover, by adding constraints, the groups are made independent, resulting in a tree structure without loops, thus decoupling the original multidisciplinary problem into several independent collaborative optimization modules. In the end, an example is employed to verify the efficiency and reliability of the approach.

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Liu, De Yin, and Jian Guo Chen. "Construction Delay Analysis and early Warning Model Based on Design Structure Matrix." Applied Mechanics and Materials 357-360 (August 2013): 2199–206. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2199.

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Schedule delays frequently occur in construction projects and bring unexpected consequence. Conducting an elaborate delay analysis and providing early warning are crucial for project performance. In this paper, factors are classified into internal risks and external risks based on the chain effect of schedule delays, and the design structure matrix (DSM) is employed to develop the delay analysis and early warning model. Case study has been performed to prove the effectiveness of the proposed model, finally, sensitivity analysis also draws conclusion the internal risks between tasks should be paid more attention than the external in environment.

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Bai, Zhonghang, Chang Liu, Huihui Sun, and Man Ding. "Complex Service Process Optimization Based on Service Touchpoint Association and the Design Structure Matrix." Complexity 2021 (February 27, 2021): 1–19. http://dx.doi.org/10.1155/2021/7431369.

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Service process optimization is conducive to the innovation of enterprise services, but the poor logic design of multiple touchpoints can easily lead to problems in the service process, such as scattered layouts and repeated paths. Aiming at the promotion of service innovation and user experience, this paper takes the optimization of a single service touchpoint as the prerequisite and proposes a service process optimization method based on service touchpoint association and the design structure matrix (DSM). The association of service touchpoints is categorized into two types, namely, noncoupled and coupled association. The DSM is used to describe the two types of association between service touchpoints, and the matrix operation is used for modular identification and layering of the two kinds of association. Finally, through the above steps, the problematic service process was replanned. By using the service process optimization of a new retail convenience store as an example, the service process is divided into 6 relatively independent modules, and the order of module execution is arranged. Moreover, the optimal service process of the convenience store system is determined, and the method is verified to be feasible. Through optimization both from single service touchpoint and service process modularization, the study provides a reference for process optimization of the complex service system.

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Wang, Shuai, Zhongkai Li, Chao He, Dengzhuo Liu, and Guangyu Zou. "An Integrated Method for Modular Design Based on Auto-Generated Multi-Attribute DSM and Improved Genetic Algorithm." Symmetry 14, no. 1 (December 31, 2021): 48. http://dx.doi.org/10.3390/sym14010048.

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Modular architecture is very conducive to the development, maintenance, and upgrading of electromechanical products. In the initial stage of module division, the design structure matrix (DSM) is a crucial measure to concisely express the component relationship of electromechanical products through the visual symmetrical structure. However, product structure modeling, as a very important activity, was mostly carried out manually by engineers relying on experience in previous studies, which was inefficient and difficult to ensure the consistency of the model. To overcome these problems, an integrated method for modular design based on auto-generated multi-attribute DSM and improved genetic algorithm (GA) is presented. First, the product information extraction algorithm is designed based on the automatic programming structure provided by commercial CAD software, to obtain the assembly, degrees of freedom, and material information needed for modeling. Secondly, based on the evaluation criteria of product component correlation strength, the structural correlation DSM and material correlation DSM of components are established, respectively, and the comprehensive correlation DSM of products is obtained through weighting processing. Finally, the improved GA and the modularity evaluation index Q are used to complete the product module division and obtain the optimal modular granularity. Based on a model in published literature and a bicycle model, comparative studies are carried out to verify the effectiveness and practicality of the proposed method.

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Khan, Sharmin. "Application of Design Structure Matrix (DSM) for Managing Projects on the Basis of Constructability." Civil Engineering and Architecture 4, no. 3 (June 2016): 91–111. http://dx.doi.org/10.13189/cea.2016.040302.

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Wahdan, Hayam G., Hisham M. Abdelslam, and Sally S. Kassem. "An Efficient Optimization Algorithm for Modular Product Design." Journal Européen des Systèmes Automatisés 54, no. 2 (April 27, 2021): 195–207. http://dx.doi.org/10.18280/jesa.540201.

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Modularity concepts play an important role in the process of developing new complex products. Modularization involves dividing a product into a set of modules - each of which consisting of a set of components - that are interdependent in the same cluster and independent between clusters. During this process, a product can be represented using a Design Structure Matrix (DSM). A DSM acts as a tool for system analysis to provide clear visualization of product elements. In addition, DSM, shows the interactions between these product elements. This paper aims to propose an efficient optimization algorithm that dynamically divides a DSM into an optimal number and size of clusters in a way that minimizes total coordination cost; the interactions inside clusters (modules) and interactions between clusters. Given problem complexity, five metaheuristic optimization algorithms are proposed and tested to solve it; these algorithms are used to determine: (1) the optimal clusters’ number within a DSM, and (2) the optimal components assignment clusters to minimize the total coordination cost. The five used metaheuristics are: Cuckoo Search, Modified Cuckoo Search, Particle Swarm Optimization, Simulated Annealing, and Gravitational Search Algorithm. Eighty problems with different properties are generated and used to examine the proposed algorithms for effectiveness and efficiency. Extensive comparisons are conducted and analyzed. Cuckoo Search is outperforming the other four algorithms.

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Zhong, Qingping, Hui Tang, and Chuan Chen. "A Framework for Selecting Construction Project Delivery Method Using Design Structure Matrix." Buildings 12, no. 4 (April 5, 2022): 443. http://dx.doi.org/10.3390/buildings12040443.

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Determining a project delivery method that matches the characteristics of a construction project is a critical step that affects the success or failure of a project. The Project Delivery Method (PDM) should be adapted to the activities and processes of project implementation. However, the traditional selection method does not come from the internal process of the project which may lead to the delivery method not being able to meet the actual project requirements. This research proposes a DSM-based PDM selection framework model that regroups activities and identifies appropriate PDMs by revealing the dependencies and intensities between activities. The research uses a case to demonstrate the feasibility of the framework. After considering specific project requirements and goals, the framework model can be used as a basis for choosing specific project delivery methods, or as a visualization tool to help owners schedule activities.

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Lin, Wen Guang, Liang Hou, Rong Shen Lai, Na Zhao, and Yong Ming Wu. "Method to Aid Product Innovation by TRIZ, DSM and Patent Knowledge." Applied Mechanics and Materials 201-202 (October 2012): 825–28. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.825.

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For effectively use patents as information resource for aiding product innovation and avoid patent infringement, a method using patent knowledge based on Design Structure Matrix (DSM) and Theory of Innovative Problem Solving (TRIZ) is proposed. First the couple relationship between different components in objective patent of product is analyzed by DSM. Next deep knowledge of component which has least couple relationship with other components and lower restriction of creation is acquired from patent. Last the component is redesigned by TRIZ according to the design requirements. The method is illustrated by the innovation design of an ATV with shock-absorption function.

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Xiang, Ying, Rong Mo, and Hu Qiao. "Change and Maintenance Method for 3D Machining Procedure Model Based on Design Structure Matrix." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 05 (January 3, 2018): 1855006. http://dx.doi.org/10.1142/s0218001418550066.

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A change and maintenance method is proposed based on the change propagation model and the procedure model information for solving data maintenance problem of 3D machining procedure model change and to help improve the flexibility of 3D machining procedure model and the reliability of the change result. Design Structure Matrix (DSM) is established by analyzing the relationships between machining features in the machining process route to obtain all possible propagation paths. On the basis of obtained paths, machining features that may be affected and machining procedure models related to machining features are stored by the structured method. Algorithms to solve the problems of adding, deleting and modifying machining features are proposed to realize the change and maintenance of 3D machining procedure model by combining machining procedure model’s information in the machining process route. In the end, some numerical examples are given to explain both rationality and feasibility of the proposed approaches.

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Meier, Christoph, Ali A. Yassine, and Tyson R. Browning. "Design Process Sequencing With Competent Genetic Algorithms." Journal of Mechanical Design 129, no. 6 (October 12, 2006): 566–85. http://dx.doi.org/10.1115/1.2717224.

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In product design, it is critical to perform project activities in an appropriate sequence. Otherwise, essential information will not be available when it is needed, and activities that depend on it will proceed using assumptions instead. Later, when the real information is finally available, comparing it with the assumptions made often precipitates a cascade of rework, and thus cost and schedule overruns for the project. Information flow models have been used to sequence the engineering design process to minimize feedback and iteration, i.e., to maximize the availability of real information where assumptions might otherwise be made instead. In this paper, we apply Genetic Algorithms (GAs) to an information flow model to find an optimized sequence for a set of design activities. The optimality of a solution depends on the objective of rearrangement. In an activity sequencing context, objectives vary: reducing iteration/feedback, increasing concurrency, reducing development lead-time and cost, or some combination of these. We adopt a matrix-based representation scheme, the design structure matrix (DSM), for the information flow models. Our tests indicate that certain DSM characteristics (e.g., size, sparseness, and sequencing objective) cause serious problems for simple Genetic Algorithm (SGA) designs. To cope with the SGA deficiency, we investigate the use of a competent GA: the ordering messy GA (OmeGA). Tests confirm the superiority of the OmeGA over a SGA for hard DSM problems. Extensions enhancing the efficiency of both a SGA and the OmeGA, in particular, niching and hybridization with a local search method, are also investigated.

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Ju, Chunhua, and Tinggui Chen. "Simplifying Multiproject Scheduling Problem Based on Design Structure Matrix and Its Solution by an Improved aiNet Algorithm." Discrete Dynamics in Nature and Society 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/713740.

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Managing multiple project is a complex task involving the unrelenting pressures of time and cost. Many studies have proposed various tools and techniques for single-project scheduling; however, the literature further considering multimode or multiproject issues occurring in the real world is rather scarce. In this paper, design structure matrix (DSM) and an improved artificial immune network algorithm (aiNet) are developed to solve a multi-mode resource-constrained scheduling problem. Firstly, the DSM is used to simplify the mathematic model of multi-project scheduling problem. Subsequently, aiNet algorithm comprised of clonal selection, negative selection, and network suppression is adopted to realize the local searching and global searching, which will assure that it has a powerful searching ability and also avoids the possible combinatorial explosion. Finally, the approach is tested on a set of randomly cases generated from ProGen. The computational results validate the effectiveness of the proposed algorithm comparing with other famous metaheuristic algorithms such as genetic algorithm (GA), simulated annealing algorithm (SA), and ant colony optimization (ACO).

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Gunawan, Gunawan, Yanuar Yanuar, Farhan Aji Waskita, and Arif Kurniawan. "Modularization of Ship Engine Room Using Design Structure Matrix (DSM) Based on the Genetic Algorithm." Engineering Journal 24, no. 4 (July 31, 2020): 205–16. http://dx.doi.org/10.4186/ej.2020.24.4.205.

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Shan, Quan, and Yan Chen. "Harmony Search Algorithm and its Application to Product Module Identification." Advanced Materials Research 225-226 (April 2011): 1100–1104. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1100.

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Point to product module identification, a new optimization method is proposed in this paper. This approach uses the harmony search (HS) algorithm with the synthesis design structure matrix (DSM). The synthesis DSM thinks a series of property correlations facing the product lifecycle, such as function, geometer, physics, assistant and so on. An optimization function for module identification, based on the axiomatic design theory, is established. This optimization approach, which used HS algorithm, is tested several times and compared with other classical algorithms, such as simulated annealing algorithm (SAA) and genetic algorithm (GA). The result demonstrates the feasibility of the proposed approaches.

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Kongsin, Tanongsak, and Sakon Klongboonjit. "Machine components clustering with DSM and repeating method : case study of a soil mixing machine." MATEC Web of Conferences 192 (2018): 01037. http://dx.doi.org/10.1051/matecconf/201819201037.

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In this study, components of the machine are analyzed to group all components into modular groups with a case study of a soil mixing machine. The study begins by creating a design structure matrix of all components. Next, the design structure matrix is transferred into a distance matrix of all components with Jaccard method. After that, the equation of complete linkage must be applied to change the distance matrix to a tree dendrogram for showing the relationship of machine components and dependent coefficient. With this tree dendrogram, six clusters are arranged:- the 1st cluster has 8 modules at the lowest dependent coefficient, the 2nd cluster has 7 modules, the 3rd cluster has 6 modules, the 4th cluster has 5 modules, the 5th cluster has 4 modules, and the 6th cluster has 2 modules at the highest dependent coefficient. Finally, the 1st cluster with 8 modules is considered to be the most proper cluster for this soil mixing machine by applying the repeating method to analyze all six clusters.

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Song, Xiao Wen, and Zhi Hua Hong. "Twice-Modeling Approach for Concurrent Process Planning without Forced Decoupling." Advanced Materials Research 118-120 (June 2010): 691–96. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.691.

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A strategy other than forced decoupling or tearing to solve the problem in concurrent design process planning is produced. Twice-modeling concept is proposed by building an Information Flow Matrix (IFM) based on the influence of relationships between information flows during task execution. After re-constructing the IFM to determine the order levels of information flows, the provider-receiver relationship between tasks and information flows are used to instruct the planning of the key tasks. A design task is then decomposed according to the usage or supply of information flow. Adaptive subdivision of design tasks is realized based on synchronous mapping of Coded Design Structure Matrix (C-DSM) and IFM. Finally the whole design process planning is completed by the priority definition of the subtasks and a DSM based level generate algorithm. The proposed method is illustrated by an application to the vehicle overall design process planning. The “pseudo coupled” or “pseudo dependent” relationships are eliminated effectively without forced decoupling and the concurrency of the whole design process is improved obviously.

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Qian, Xiao Ming, and Dun Bing Tang. "Research on DSM for Simulation of Concurrent Product Development Process." Advanced Materials Research 44-46 (June 2008): 595–600. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.595.

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In this paper a simulation algorithm for concurrent product development process (CPDP) is presented based on Design Structure Matrix (DSM). An aggregate DSM is used to model the CPDP. To simulate the influence on the process of the time limit and the resource competition, the schedule and resource model are established. A method is also advanced to handle task delay. At last a case is used to validate the simulation algorithm and to show the influence on the process of task duration and resource.

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Srinivasan, Rajaram, Steven D. Eppinger, and Nitin Joglekar. "The Structure of Devops in Product-Service System Development." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 3111–20. http://dx.doi.org/10.1017/dsi.2019.318.

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AbstractWe 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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Yang, Yan-pu, Deng-kai Chen, Rong Gu, Yu-feng Gu, and Sui-huai Yu. "Consumers’ Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms." Computational Intelligence and Neuroscience 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5083213.

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Consumers’ Kansei needs reflect their perception about a product and always consist of a large number of adjectives. Reducing the dimension complexity of these needs to extract primary words not only enables the target product to be explicitly positioned, but also provides a convenient design basis for designers engaging in design work. Accordingly, this study employs a numerical design structure matrix (NDSM) by parameterizing a conventional DSM and integrating genetic algorithms to find optimum Kansei clusters. A four-point scale method is applied to assign link weights of every two Kansei adjectives as values of cells when constructing an NDSM. Genetic algorithms are used to cluster the Kansei NDSM and find optimum clusters. Furthermore, the process of the proposed method is presented. The details of the proposed approach are illustrated using an example of electronic scooter for Kansei needs clustering. The case study reveals that the proposed method is promising for clustering Kansei needs adjectives in product emotional design.

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Qiu, Lemiao, Xiaojian Liu, Shuyou Zhang, and Liangfeng Sun. "Disassemblability modeling technology of configurable product based on disassembly constraint relation weighted design structure matrix(DSM)." Chinese Journal of Mechanical Engineering 27, no. 3 (May 2014): 511–19. http://dx.doi.org/10.3901/cjme.2014.03.511.

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Sunnersjö, Staffan, Mikael Cederfeldt, Fredrik Elgh, and Ingvar Rask. "A Transparent Design System for Iterative Product Development." Journal of Computing and Information Science in Engineering 6, no. 3 (January 9, 2006): 300–307. http://dx.doi.org/10.1115/1.2218363.

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Automated systems for variant design can be used for design iterations in order to guide the designer towards solutions that are optimized with respect to weight, cost, lead time, or other vital properties. In this work such a system for computational design problems is presented together with examples of its application. The system performs design computations, computed aided design model configuration, production process planning, and cost estimation. The design rules and algorithms are captured in knowledge “chunks,” which are human readable as well as computer executable. The workflow governing the execution of these rules and algorithms is created using a dependency structure matrix (DSM) which is included in the system. Particular attention has been given to the need for transparency, modularity, and longevity of the system, which is a prerequisite for such a system to become a viable tool in industrial applications. Experiences from the proposed system indicate that the DSM workflow manager in combination with a human readable and modularized knowledge base provides clarity and transparency for both developer and user of the system.

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Mora, B., I. Retolaza, M. A. Campos, A. Remirez, M. J. Cabello, and F. Martinez. "DEVELOPMENT OF A NEW DESIGN METHODOLOGY FOR LARGE SIZE PRODUCTS BASED ON DSM AND DFMA." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 2315–24. http://dx.doi.org/10.1017/dsd.2020.2.

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AbstractA new design methodology for long life and large size (Ll-Ls) products called Design for Installation (DfI) is proposed. Ll-Ls products are usually made up of large parts that need to be assembled on field. The proposed methodology, based on adapted Design Structure Matrix (DSM) and Design for Manufacturing and Assembly (DfMA) methods, enables to optimize the design of a Ll-Ls product in order to reduce time and cost of the installation process. The new methodology works with a conceptual design of the product and the weight and size restrictions given by logistic factors as inputs.

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Yang, Qing, Chen Shan, Bin Jiang, Na Yang, and Tao Yao. "Managing the complexity of new product development project from the perspectives of customer needs and entropy." Concurrent Engineering 26, no. 4 (September 11, 2018): 328–40. http://dx.doi.org/10.1177/1063293x18798001.

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To successfully develop a complex product, a firm must answer two critical questions: how to “develop the right product” and how to “develop the product right.” Motivated by the real practice of Xiaomi’s new product development (NPD) projects, this article responds to these calls in the following ways. To design the right product, using an enhanced PageRank algorithm to investigate customer needs, NPD managers can select appropriate function modules of the new product to meet customers’ demand. To develop the new product in the right way, NPD managers should optimize the NPD organization. This article applies the multi-domain matrix (MDM) to identify the technical coordination dependency strength among different teams and then to measure the NPD organization’s complexity according to its entropy. By proposing the External Entropy of Cluster (EEC) and Internal Entropy of Cluster (IEC), we develop an entropy-based two-stage clustering criterion of design structure matrix ( DSM) to optimize the NPD organization. The first-stage clustering criterion maximizes the added average dependency strength of DSM, and the second-stage clustering criterion minimizes the Weighted Total Entropy, including the IEC and EEC. An industrial example is provided to illustrate the proposed model. The results indicate that the clustered DSM can reduce the organization’s complexity.

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Journal articles on the topic 'Design Structure Matrix (DSM)'

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