scholarly journals The Application of Design Structure Matrix Optimization Method Based on Genetic Algorithm

Author(s):  
Lefeng Sun ◽  
Jing An ◽  
Hongmiao Yu
2020 ◽  
Vol 24 (4) ◽  
pp. 205-216
Author(s):  
Gunawan Gunawan ◽  
Yanuar Yanuar ◽  
Farhan Aji Waskita ◽  
Arif Kurniawan

2014 ◽  
Vol 496-500 ◽  
pp. 582-585
Author(s):  
Qing Yang ◽  
Er Ling Tang

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.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Zhonghang Bai ◽  
Chang Liu ◽  
Huihui Sun ◽  
Man Ding

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.


2018 ◽  
Vol 248 ◽  
pp. 03011 ◽  
Author(s):  
Ariani Amalia ◽  
M. Dachyar ◽  
Farizal

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.


2011 ◽  
Vol 314-316 ◽  
pp. 1607-1611
Author(s):  
Zhong Wei Gong ◽  
Hai Cheng Yang ◽  
Rong Mo ◽  
Tao Chen

Engineering change is an important and complex activity for manufacturing enterprises. In order to improve the efficiency of engineering change, designers should pay different attentions to different nodes of product development network. In that case, a method of classifying the nodes was proposed. First, we proposed a method to cluster the nodes based on design structure matrix; then, we analyzed the indexes for evaluating the importance of nodes and studied the method of classifying the nodes of product development network; finally, the experiment of managing a type of motorcycle engine was employed to validate our method and it showed the correctness of the proposed method.


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