TY - JOUR

T1 - System reliability of a manufacturing network with reworking action and different failure rates

AU - Lin, Yi-Kuei

AU - Chang, Ping Chen

PY - 2012/12/1

Y1 - 2012/12/1

N2 - From the perspective of network analysis, the manufacturing system can be constructed as a stochastic-flow network, since the capacity of each machine is stochastic (i.e. multistate) owing to the failure, partial failure, and maintenance. Considering reworking action and different failure rates of machines, the input flow (raw materials/work in process) processed by each machine might be defective, and therefore the output flow (work in process/products) would be less than the input amount. To evaluate the capability of the manufacturing system, we measure the probability that the manufacturing network can satisfy demand. Such a probability is defined as the system reliability. A decomposition method is first proposed to divide the manufacturing network into one general processing path and one reworking path. Subsequently, two algorithms are utilised for different network models to generate the lower boundary vector of machine capacity to guarantee that the manufacturing network is able to produce sufficient products fulfilling the demand. The system reliability of the manufacturing network can be derived in terms of such a capacity vector afterwards.

AB - From the perspective of network analysis, the manufacturing system can be constructed as a stochastic-flow network, since the capacity of each machine is stochastic (i.e. multistate) owing to the failure, partial failure, and maintenance. Considering reworking action and different failure rates of machines, the input flow (raw materials/work in process) processed by each machine might be defective, and therefore the output flow (work in process/products) would be less than the input amount. To evaluate the capability of the manufacturing system, we measure the probability that the manufacturing network can satisfy demand. Such a probability is defined as the system reliability. A decomposition method is first proposed to divide the manufacturing network into one general processing path and one reworking path. Subsequently, two algorithms are utilised for different network models to generate the lower boundary vector of machine capacity to guarantee that the manufacturing network is able to produce sufficient products fulfilling the demand. The system reliability of the manufacturing network can be derived in terms of such a capacity vector afterwards.

KW - decomposition method

KW - different failure rates

KW - manufacturing network

KW - multistate

KW - reworking

KW - system reliability

UR - http://www.scopus.com/inward/record.url?scp=84868557870&partnerID=8YFLogxK

U2 - 10.1080/00207543.2011.638939

DO - 10.1080/00207543.2011.638939

M3 - Article

AN - SCOPUS:84868557870

VL - 50

SP - 6930

EP - 6944

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 23

ER -