Reliability Modeling and Analysis of Flexible Manufacturing Cells

Savsar, Mehmet

doi:10.5772/10239

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Safaei et al 5 constructed a cellular manufacturing system with a serial-parallel configuration to improve the redundant reliability of cells, where machine failure was also distributed exponentially. Also, many other researches applied the exponential reliability of machines in their performance analysis of manufacturing cells, for example, the performance evaluation of an FMC under random operational conditions, 6 the multi-state performance measure of manufacturing cells, 7 and the analysis for the operational performance of a manufacturing cell considering the effect of degraded operation modes. 8 Besides, Das et al 9 also proposed a preventive maintenance planning model by assuming the machine had the Weibull distributed failure times in a cellular manufacturing system.…”

Section: Introductionmentioning

confidence: 99%

Operational reliability and quality loss of diversely configurated manufacturing cells with heterogeneous feedstocks

Cai

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Machine reliability in cellular manufacturing is a challenging engineering problem in the formation and design of manufacturing cells. The heterogeneity of feedstock quality is also common in manufacturing industry. However, so far, no work has been done to investigate the performance of diversely configurated manufacturing cells under the heterogeneous feedstocks. In this paper, considering the actual engineering condition, the uniformly random arrival and the clustered arrival of low-quality feedstocks are proposed and modeled by the homogeneous Poisson process and Hawkes process, respectively. Also, to study the mixed reliability of a machine under the impact of heterogeneous feedstocks, a mixed failure-rate model is constructed by the mixture of exponential and Weibull distributions, and the processing quality is modeled by a non-homogeneous Poisson process with a dynamic intensity function. Then, we achieve a contrastive analysis for operational reliability and quality loss of manufacturing cells with basic serial and parallel configurations under the impact of heterogeneous feedstocks. At last, the designed simulation illustrates the effectiveness of our proposed models, and some results are concluded to provide some guidelines for the design of manufacturing cells.

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Section: Introductionmentioning

confidence: 99%

Operational reliability and quality loss of diversely configurated manufacturing cells with heterogeneous feedstocks

Cai

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…With the introduction of different maintenance systems, diverse maintenance strategies are applied to attain more added values. In this regard, numerous studies have been conducted on maintenance strategies (Alabdulkarim et al, 2015;Shaaban and Awni, 2014;Graisa and Al-Habaibeh, 2011;Savsar, 2010). Choosing an appropriate maintenance policy is a critical activity in manufacturing systems as it affects the performance of companies' equipment.…”

Section: Introductionmentioning

confidence: 99%

Maintenance policy selection: a fuzzy-ANP approach

Hemmati

Galankashi

Imani

et al. 2018

JMTM

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Purpose The purpose of this paper is to develop a fuzzy analytic network process (FANP) model to select the maintenance policy of an acid manufacturing company. Design/methodology/approach Four maintenance strategies of Corrective Maintenance (CM), Time-Based Maintenance (TBM), Condition-Based Maintenance (CBM) and Shutdown Maintenance (SM) are investigated to be considered for seven equipment of the case study. These equipment are almost new and include boiler, molten sulfur ponds, cooling towers, absorption tower, converter, sulfur fuel furnace and heat exchanger. Chang’s extended analysis has been employed to deal with fuzzy data and analyze the fuzzy decision matrices. The proposed approach is applied to a sulfuric acid production plant and the suitable maintenance policy is found for all seven equipment of the company. Findings Based on the obtained results, the CBM policy is appropriate for high-risk (cooling tower) and high added value equipment (absorption tower). In addition, TBM is selected for boiler and converters while SM is selected for molten sulfur ponds. Finally, high-cost, low-risk and low added value equipment (sulfur fuel furnace and heat exchanger) are more appropriate with CM policy. Originality/value This research presents a novel idea to consider cost, risk and added value in the context of maintenance policy selection. From the methodological and theoretical features, this research offers new insights in this area since, to the best of the authors’ knowledge, no comparable study has been conducted before.

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