Modularization for the complex product considering the design change requirements

Driven by the evolving customer requirements and the advancement of key technologies, design changes broadly exist in the lifecycle of the complex product. And as a popular engineering management strategy, the modularization strategy has been widely applied in the research and development process of complex products. However, most of the existing modularization methods do not consider the issue of design change management. Under this circumstance, the “avalanche effect” of the design change propagation might be magnified due to the inappropriate modular structure. Thus, to decrease the effect of the design change propagation, a novel modularization method of the complex product is proposed incorporating the modularity and the scope of design change propagation (SDCP). Firstly, considering the functional and physical relationship between components, the correlation matrix that is the adjacency matrix of the related weighted and directed network model is constructed. Secondly, the indexes of modularity and SDCP are defined based on the predetermined network model and correlation matrix, respectively. Thirdly, taking the modularity and the SDCP as the optimization objectives, a bi-objective optimization model is built for the modularization of the complex product, and then the model is solved by the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Finally, the modularization of the cab for a specific electronic sanitation vehicle is implemented as the case study to expound the utility and effectiveness of the proposed methodology.

[1]  Youngdo Kim,et al.  Finding communities in directed networks. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Claudia Eckert,et al.  Engineering change: an overview and perspective on the literature , 2011 .

[3]  Ali Yassine,et al.  Information hiding in product development: the design churn effect , 2003 .

[4]  Dan Braha,et al.  The Complexity of Design Networks: Structure and Dynamics , 2016 .

[5]  Hoda A. ElMaraghy,et al.  Optimum granularity level of modular product design architecture , 2013 .

[6]  Claudia Eckert,et al.  Design margins in industrial practice , 2020, Design Science.

[7]  Roger J. Jiao,et al.  Green modular design for material efficiency: a leader–follower joint optimization model , 2013 .

[8]  P. Clarkson,et al.  Predicting change propagation in complex design , 2004 .

[9]  Sergey Brin,et al.  Reprint of: The anatomy of a large-scale hypertextual web search engine , 2012, Comput. Networks.

[10]  Dan Braha,et al.  Information flow structure in large-scale product development organizational networks , 2004, J. Inf. Technol..

[11]  Oded Maimon,et al.  A Mathematical Theory of Design: Foundations, Algorithms and Applications , 1998 .

[12]  Shamkant B. Navathe,et al.  C-FAR, change favorable representation , 2000, Comput. Aided Des..

[13]  Fabrizio Salvador,et al.  Suppliers Integration and NPD Outcomes: Conditional Moderation Effects of Modular Design Competence , 2013 .

[14]  Qingyan Yang,et al.  Product modular design incorporating life cycle issues - Group Genetic Algorithm (GGA) based method , 2011 .

[15]  David E. Goldberg,et al.  An information theoretic method for developing modular architectures using genetic algorithms , 2007 .

[16]  Yaneer Bar-Yam,et al.  The Statistical Mechanics of Complex Product Development: Empirical and Analytical Results , 2007, Manag. Sci..

[17]  Wang Zhaotong,et al.  Multi-source Design Change Propagation Path Optimization for Complex Product Based on Weighted and Directed Network Model , 2019 .

[18]  Hongchao Zhang,et al.  A multi-objective fuzzy graph approach for modular formulation considering end-of-life issues , 2008 .

[19]  Yupeng Li,et al.  An integrated module partition approach for complex products and systems based on weighted complex networks , 2014 .

[20]  Zhao Bin,et al.  Research on Characteristics of Heavy-load Lifting Machinery Based on Hydraulic-gas Energy Storage and Closed Displacement Controlled System , 2019 .

[21]  M. Newman.  Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Dan Braha,et al.  The Topology of Large-Scale Engineering Problem-Solving Networks , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Fang Guo,et al.  Discovering relationships between modularity and cost , 2007, J. Intell. Manuf..

[24]  Ali Yassine,et al.  Complex Concurrent Engineering and the Design Structure Matrix Method , 2003, Concurr. Eng. Res. Appl..

[25]  Mahmoud Efatmaneshnik,et al.  Product modular analysis with design structure matrix using a hybrid approach based on MDS and clustering , 2017 .

[26]  Kaushik Sinha,et al.  Design structure matrix‐based modularization approach for complex systems with multiple design constraints , 2019, Syst. Eng..

[27]  T. Wuest,et al.  A new module partition method based on the criterion and noise functions of robust design , 2018 .

[28]  Joshua D. Summers,et al.  Predicting requirement change propagation, using higher order design structure matrices: an industry case study , 2012 .

[29]  Kijung Park,et al.  An investigation on the network topology of an evolving product family structure and its robustness and complexity , 2019, Research in Engineering Design.

[30]  Li Chen,et al.  Identification of Clusters and Interfaces for Supporting the Implementation of Change Requests , 2014, IEEE Transactions on Engineering Management.

[31]  Andrea Prencipe,et al.  Breadth and depth of technological capabilities in CoPS: the case of the aircraft engine control system , 2000 .

[32]  Shuai Wang,et al.  Determining optimal granularity level of modular product with hierarchical clustering and modularity assessment , 2019, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

[33]  Qi Wang,et al.  Cost-effective propagation paths for multiple change requirements in the product design , 2018 .

[34]  David C. Wynn,et al.  Margin value method for engineering design improvement , 2020 .

[35]  Kosuke Ishii,et al.  Design for variety: developing standardized and modularized product platform architectures , 2002 .

[36]  P. John Clarkson,et al.  Change and customisation in complex engineering domains , 2004 .

[37]  John K. Gershenson,et al.  Product modularity: Definitions and benefits , 2003 .

[38]  Mustafa Suphi Erden,et al.  Modular design of mechatronic systems with function modeling , 2010 .

[39]  Lei Zhang,et al.  Function Module Partition for Complex Products and Systems Based on Weighted and Directed Complex Networks , 2017 .

[40]  Na Zhang,et al.  Module partition of complex mechanical products based on weighted complex networks , 2019, J. Intell. Manuf..

[41]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[42]  P. John Clarkson,et al.  Predicting Change Propagation in Complex Design Workflows , 2014 .

[43]  Jing Li,et al.  DBSCAN-based modular design for the crane grab , 2018, Int. J. Wirel. Mob. Comput..