Research on complex product design change propagation based on complex networks

2017 ◽  
Author(s):  
Xiaoyuan Lian ◽  
Yu Yang ◽  
Jie Wang
Keyword(s):  
Complex Networks ◽  
Product Design ◽  
Change Propagation ◽  
Design Change ◽  
Complex Product

Risk Analysis of Engineering Change for Distributed Product Design

2020 ◽  
pp. 1-38
Author(s):  
Leilei Yin ◽  
Quan Sun ◽  
Youxiong Xu ◽  
Li Shao ◽  
Dunbing Tang
Keyword(s):  
Product Design ◽  
Change Propagation ◽  
Design Engineering ◽  
Limited Time ◽  
Primary Result ◽  
Engineering Change ◽  
Design Change ◽  
Working Groups ◽  
Simulation Results

Abstract Nowadays customer demand for satisfactory product developed in limited time is rapidly posing a major challenge to product design and more distributed products are developed to address these concerns. In the distributed product design, engineering change (EC) is an inevitable phenomenon and consumes much production time. It is necessary to assess the design change effectively in advance. Some methods and tools to predict and analyze the change propagation influence have been provided. From the perspective of design change duration, our work extends the method of assessing design change by incorporating risk factors from different working groups in multiple design sites, functional maintenance during the change propagation. The primary result of this work is the provision of a design support to acquire the optimal design change scheme by estimating the duration. In this paper, risk factor of distributed design is applied to the influence evaluation of change propagation, which implies an increase of change propagation influence due to the varying levels of expertise, possible lack of communication. Besides, a deterministic simulation model is proposed to assess the change propagation schemes. The model combines the effects of design change parallelism, iteration, change propagation for the distributed product design. Based on the simulation results, a more focused discussion and identification of suitable design change schemes can be made. A case study of an assembly tooling for the reinforced frame is implemented to demonstrated how the developed method can be applied. Finally, the method is initially discussed and evaluated.

Task Reallocating for Responding to Design Change in Complex Product Design

2019 ◽  
Vol 28 (1) ◽  
pp. 57-76 ◽  
Author(s):  
Meng Wei ◽  
Yu Yang ◽  
Jiafu Su ◽  
Qiucheng Li ◽  
Zhichao Liang
Keyword(s):  
Product Design ◽  
Hybrid Genetic Algorithm ◽  
Interference Effects ◽  
Time Stability ◽  
Design Change ◽  
Complex Product ◽  
Multi Objective ◽  
Reactive Process ◽  
Adaptation Cost ◽  
Design Cost

Abstract In the real-world complex product design (CPD) process, task allocating is an ongoing reactive process where the presence of unexpected design change is usually inevitable. Therefore, reallocating is necessary to respond to design change positively as a procedure to repair the affected task plan. General reallocating literature addressed the reallocating versions with fixed executing time. In this paper, a multi-objective reallocation model is developed with a feasible assumption that the task executing time is controllable. To illustrate this idea, a compressing executing time strategy (CETS) is proposed in CPD process, where the executing time can be controlled with a non-linear compression cost. When design change occurs during the executing, task-resource reallocating is required to absorb the interference effects. Reallocating implies an increase in design cost and system instability; the proposed method CETS can address this issue effectively. CETS considers three objectives: completing time, stability, and change-adaptation cost. An adaptive multi-objective hybrid genetic algorithm and tabu search (AMOGATS) is developed to solve this mathematical method. The computational results of specific simulation examples verify the superiority. It shows that CETS is sensitive to design change, and the proposed algorithm AMOGATS can be effective to achieve the allocating by coordinating the objective consistency.

A network-based four-phase routing approach of multisource design change propagation on complex products

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Na Zhang ◽  
Mengze Li ◽  
Haibing Ren ◽  
Yupeng Li
Keyword(s):  
Design Process ◽  
Phase Iii ◽  
Propagation Path ◽  
Change Propagation ◽  
Ant Colony Optimization Algorithm ◽  
Content Type ◽  
Design Change ◽  
Complex Product ◽  
Complex Products ◽  
Design Changes

Purpose The development of complex products and systems is a continuously iterative process from customer requirements to a mature design. Design changes derived from multisources occur frequently during the design process. Furthermore, change propagation will impose impacts on design costs and lead times. In view of this, how to predict and control the propagation of multisource design change to reduce the changes impact is an urgent issue in the development of complex product. Design/methodology/approach In this paper, a new four-phase routing approach based on weighted and directed complex networks is proposed for multisource design change propagation. Phase I: as the foundation of this research, a product network model is established to quantify describe the complex product. Phase II: the hub nodes are identified based on the LeaderRank algorithm, which can be regarded as multisource nodes of design changes. Phase III: a calculation method for change propagation intensity is proposed, which improves the systematicness and accuracy of the evaluation results. In this paper, change propagation intensity is defined by four assessment factors: importance degree of parts, execution time of design tasks, coupling strength between parts and propagation likelihood. Phase IV: a routing method of multisource design change propagation and ant colony optimization algorithm are proposed in this paper, which can solve the coupling conflicts among change propagation paths and improve the search efficiency by using the parallel search strategy. Findings The proposed method and another method are used to search the optimal propagation path of multisource design change of a motorcycle engine; the results indicate that this method designed in this study has a positive effect on reducing the change impact, market response time and product design costs when design change occurs in the products design process. Originality/value The authors find a new method (a network-based four-phase routing approach) to search the optimal propagation path of multisource design change in complex products design.

Engineering Change Management of Product Design Using Model-Based Definition Technology

2017 ◽  
Vol 17 (4) ◽  
Author(s):  
Leilei Yin ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Inayat Ullah ◽  
Haitao Zhang
Keyword(s):  
Product Design ◽  
Change Propagation ◽  
Prototype System ◽  
Parameter Change ◽  
Engineering Change ◽  
Product Data ◽  
Design Change ◽  
Model Based ◽  
Engineering Change Management ◽  
And Topology

As engineering change (EC) is an inevitable activity in the industry and uses a lot of engineering design resources, the management of EC has become a crucial discipline. In current researches, most of the data related to the product design change are scattered in different forms and the product data are acquired manually from various files in the EC management, which is time-consuming and error-prone. In this work, design change-oriented model-based definition (DCMBD) model is defined as the sole data source. Based on the proposed DCMBD model, this work presents a method to acquire the product changes automatically and evaluate design change propagation proactively in a uniform way. The objective of the proposed method is to effectively and efficiently manage ECs. In this paper, first, DCMBD model is defined specifically, which records the product data: geometry, material, tolerance and annotations, relations of product items, lifecycle data, etc. Then, based on the defined DCMBD model, algorithms are presented to automatically acquire two types of product change: parameter change and topology face change. Next, relation models for the product items (parameter and topology face) are demonstrated. After that, the change propagation in terms of parameters and topology faces are clarified. Meanwhile, indices of parameter change influence (PCI) and topology face change influence (TFCI) are presented to evaluate the change impact. Finally, a prototype system for product design change is developed and a case study is demonstrated to show how the proposed method can be applied to the product design change.

scholarly journals Subsystems Change Ranking Methodology (SCRaM) for Complex Product Redesign Process

2011 ◽  
Vol 308-310 ◽  
pp. 167-173 ◽  
Author(s):  
Fairuz Izzuddin Romli ◽  
Kian Hou Cheang ◽  
Jun Xian Chew ◽  
Azmin Shakrine Mohd Rafie
Keyword(s):  
Product Design ◽  
Change Propagation ◽  
Complex Product ◽  
Complex Products ◽  
The Right

Product redesign is hardly a straightforward process, especially for complex products. The existence of intricate interrelationships between different components of product design architecture makes it more susceptible to change propagation phenomenon. In this case, redesign risk is not easy to predict since the change effects are being propagated to other components from the initiating change component. Because of this condition, choosing the right initiating change component is essential to control redesign process risks, apart from being able to successfully satisfy the product requirements. With this notion, this paper proposes a method that systematically ranks all components of an existing product design based on their estimated redesign risk. By having this information, designers can make a better redesign planning. The demonstration of this method is presented through an example aircraft redesign case study.

Sign in / Sign up

Export Citation Format

Share Document