TY - JOUR

T1 - A modeling framework to support the implementation of engineering changes in designing complex products

AU - Li, Haibing

AU - Lu, Qinghua

AU - Lachmayer, Roland

PY - 2022/7

Y1 - 2022/7

N2 - Engineering changes (ECs) and cascading effects of change propagation are major sources of inefficiencies in complex product development, necessitating a lot of routine reworks to implementation. Although many studies have contributed significantly to alleviating or assessing the impact of ECs from various perspectives, relatively little attention has been paid to supporting the redesign or reconfiguration process that would be required to implement ECs. For this reason, a modeling framework based on generative parametric design approach (GPDA) is proposed to construct the models that will be used to implement the changes. Based on the GPDA, this framework establishes a design element library by detecting and modeling upcoming ECs as well as their propagation in advance from a knowledge standpoint. Relying on that, a large solution space with greater expandability is developed to implement ECs more flexibly. To validate the applicability of the suggested framework in terms of EC problems, a practical study of a vehicle door frame design is carried out. According to the findings, this modeling framework enables designers to make informed decisions on EC implementation, particularly those that occur later in the development process.

AB - Engineering changes (ECs) and cascading effects of change propagation are major sources of inefficiencies in complex product development, necessitating a lot of routine reworks to implementation. Although many studies have contributed significantly to alleviating or assessing the impact of ECs from various perspectives, relatively little attention has been paid to supporting the redesign or reconfiguration process that would be required to implement ECs. For this reason, a modeling framework based on generative parametric design approach (GPDA) is proposed to construct the models that will be used to implement the changes. Based on the GPDA, this framework establishes a design element library by detecting and modeling upcoming ECs as well as their propagation in advance from a knowledge standpoint. Relying on that, a large solution space with greater expandability is developed to implement ECs more flexibly. To validate the applicability of the suggested framework in terms of EC problems, a practical study of a vehicle door frame design is carried out. According to the findings, this modeling framework enables designers to make informed decisions on EC implementation, particularly those that occur later in the development process.

KW - Change propagation

KW - Complex product

KW - Engineering changes (ECs)

KW - Generative parametric design approach (GPDA)

KW - Solution space development

UR - http://www.scopus.com/inward/record.url?scp=85128679674&partnerID=8YFLogxK

U2 - 10.1007/s00163-022-00388-x

DO - 10.1007/s00163-022-00388-x

M3 - Article

AN - SCOPUS:85128679674

VL - 33

SP - 249

EP - 271

JO - Research in engineering design

JF - Research in engineering design

SN - 0934-9839

IS - 3

ER -