Reliability Evaluation of a Hybrid Flow-Shop With Stochastic Capacity Within a Time Constraint
| Autor: | Yi-Kuei Lin, Ding-Hsiang Huang, Louis Cheng Lu Yeng |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering 021103 operations research Branch and bound Workstation Stochastic process business.industry Reliability (computer networking) Node (networking) 0211 other engineering and technologies 02 engineering and technology Flow shop scheduling law.invention Reliability engineering 020901 industrial engineering & automation Capacity planning law Time constraint Electrical and Electronic Engineering Safety Risk Reliability and Quality business |
| Zdroj: | IEEE Transactions on Reliability. 65:867-877 |
| ISSN: | 1558-1721 0018-9529 |
| DOI: | 10.1109/tr.2015.2503745 |
| Popis: | For a hybrid flow shop (HFS), due to the maintenance, partial failure, and possibility of failure, the number of machines at a workstation presents multiple levels, meaning that capacity of each workstation is stochastic. This study considers the stochastic capacity of each workstation and proposes a performance index based on system reliability to measure the probability that the HFS can complete demand $d$ within time constraint $T$ . The HFS is modeled as a stochastic-flow network, in which each arc is regarded as a workstation with stochastic capacity and each node as a buffer. An algorithm is then developed to find the lower capacity vectors that satisfy $(d, T)$ and system reliability is evaluated. In addition, a practical example of an IC card manufacturing system is utilized to illustrate the proposed algorithm and show that such an index can provide enough information for managers to make decisions. |
| Databáze: | OpenAIRE |
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