TY - JOUR

T1 - Total failure of a system due to time-dependent complexity - An identification framework

AU - Cavique, Miguel

AU - Sampaio, R. P. C.

AU - Fradinho, João

AU - Mourão, António

N1 - The authors gratefully thank the sponsorship of Fundação para a Ciência e Tecnologia through the Strategic Project UID/EMS/00667/2019 UNIDEMI.

PY - 2019

Y1 - 2019

N2 - Axiomatic Design theory claims for using universal principles that allow classifying a design and choose the best one. Moreover, it helps to anticipate problems in the performance of a system. This design theory develops the design in four design domains and has two axioms: the independence axiom, and the information axiom. The probability of fulfilling the set of functional requirements allows determining the information content of the design, a measure of the complexity of a system. Complexity may change over time, called time-dependent complexity. Time-dependent complexity can be reduced using functional periodicity, a way to periodically reset the system ensuring the functionality of the system at the former design levels. System maintenance provides periodical functionality allowing to reduce the complexity of the system. However, interferences between parts or systems are often not taken into account in the design, making possible the complexity to increase until a total failure of the system. The authors propose to use the Design Structure Matrix, to help to define the changes in the physical domain over time. Thus, computing the distributions of the functional requirements in a fuzzy environment allows calculating the probability of success of a system along the time. It was found possible to compute the time-dependent complexity using ranges of lifetime of compounds and to identify the probable failure of a system by the pick increase of information at a certain time.

AB - Axiomatic Design theory claims for using universal principles that allow classifying a design and choose the best one. Moreover, it helps to anticipate problems in the performance of a system. This design theory develops the design in four design domains and has two axioms: the independence axiom, and the information axiom. The probability of fulfilling the set of functional requirements allows determining the information content of the design, a measure of the complexity of a system. Complexity may change over time, called time-dependent complexity. Time-dependent complexity can be reduced using functional periodicity, a way to periodically reset the system ensuring the functionality of the system at the former design levels. System maintenance provides periodical functionality allowing to reduce the complexity of the system. However, interferences between parts or systems are often not taken into account in the design, making possible the complexity to increase until a total failure of the system. The authors propose to use the Design Structure Matrix, to help to define the changes in the physical domain over time. Thus, computing the distributions of the functional requirements in a fuzzy environment allows calculating the probability of success of a system along the time. It was found possible to compute the time-dependent complexity using ranges of lifetime of compounds and to identify the probable failure of a system by the pick increase of information at a certain time.

KW - Axiomatic design

KW - DSM

KW - FMEA

KW - Time-dependent complexity

UR - http://www.scopus.com/inward/record.url?scp=85076792296&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2019.04.171

DO - 10.1016/j.procir.2019.04.171

M3 - Conference article

AN - SCOPUS:85076792296

SN - 2212-8271

VL - 84

SP - 1010

EP - 1014

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 29th CIRP Design Conference, CIRP Design 2019

Y2 - 8 May 2019 through 10 May 2019

ER -