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Least Risky Change Propagation Path Analysis in Product Design Process
Author(s) -
Ullah Inayat,
Tang Dunbing,
Wang Qi,
Yin Leilei
Publication year - 2017
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.21400
Subject(s) - rework , process (computing) , product (mathematics) , new product development , path (computing) , computer science , reliability engineering , risk analysis (engineering) , industrial engineering , operations research , systems engineering , engineering , mathematics , business , geometry , marketing , programming language , embedded system , operating system
Requirement changes play a significant role in the product design and development process and constantly change due to the customers’ expectations. This research seeks to develop an advanced approach for the product designing with an aim to predict the least risky change propagation path (CPP) in the product's structure. This is achieved by developing an algorithm and a mathematical model taking the overall propagated risk into consideration. The risks associated with requirement changes, which would result in rework, are quantified in terms of propagation probability and change impact. The proposed algorithm relates the change risk to the amount of rework needed to be done. The outcomes indicate the suitability of the proposed method in assessing different least risky CPPs to support the designer in reducing redesign time. Moreover, this technique also provides additional information, such as the number of distinct design components, and change steps involved in change propagation. A case study is presented to demonstrate the practicability of the proposed technique.