An efficient semi-analytical simulation for availability evaluation of discrete production lines with unreliable machines

Jia, Yunchao; Yang, Zhaojun; Li, Guofa; Du, Xinzhong; He, Jialong; Wang, Liding; Li, Quanpu

doi:10.1109/icsrs.2016.7815849

Cited by 1 publication

(1 citation statement)

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“…Various reliability allocation methods have been widely discussed and developed over the last several decades. In response to the reliability allocation problem of production systems, Jilin University CNC Equipment Reliability Technology Innovation Research Team conducted research on a car crankshaft production line and an engine block production line [6,7], established a fuzzy comprehensive evaluation model for production line reliability allocation [8], and proposed a seminumerical simulation method for the availability evaluation of discrete production lines [9]. Based on the availability of equipment, the availability of production lines, and the cost of the three indicators, they proposed a production line reliability assessment method [10].…”

Section: Introductionmentioning

confidence: 99%

Research on the Reliability Allocation Method for a Production System Based on Availability

Wang

et al. 2020

Mathematical Problems in Engineering

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This paper involves a production system, which is composed of units (workstations) and buffers. The buffer is used to store semifinished and finished products in the production process, to reduce the impacts of bad equipment in the production system on the entire system performance. Considering the characteristics of the large number of components and the state of the buffers in the production system, this paper considers the influences of buffer states on upstream and downstream units. When using the availability as the allocation index and combining it with Markov theory, the production unit (workstation) and upstream and downstream buffers are regarded as an equivalent unit (workstation) with multiple output states. We establish the relationship between the availability of each equivalent unit (workstation) and the production system availability and determine a scaling factor for the availability of the equivalent unit to account for the system availability. The expected availability goal of the production system is allocated to each equivalent unit (workstation) by the scaling factor; then, the availability of each equivalent unit (workstation) is assigned to each unit. Finally, the Plant Simulation software is used to simulate and analyze the production system to verify the correctness of the allocation method and realize the reliability allocation from a complex production system to a unit.

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Section: Introductionmentioning

confidence: 99%

Research on the Reliability Allocation Method for a Production System Based on Availability

Wang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

An efficient semi-analytical simulation for availability evaluation of discrete production lines with unreliable machines

Cited by 1 publication

References 25 publications

Research on the Reliability Allocation Method for a Production System Based on Availability

Research on the Reliability Allocation Method for a Production System Based on Availability

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