Online-to-offline on the railway: Optimization of on-demand meal ordering on high-speed railway

Luo, Chunling; Xu, Lei

doi:10.1016/j.trc.2023.104143

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…In practice, the Bayesian technique might leverage additional prior information, such as historical data or expertise in the statistical inferential process, to obtain more accurate estimates for tests with small sample sizes or when censored data are available. Regarding Bayes' reliability analysis, several recent works have addressed this issue; see, for example, Chen and Ye [22], Wang et al [23], Luo et al [24], and Luo and Xu [25]. To acquire the Bayes point estimator of α, µ, R(t) or h(t), we suppose that α and µ are independent and distributed with gamma (G) density priors, i.e., α ∼ G(a 1 , b 1 ) and µ ∼ G(a 2 , b 2 ), respectively.…”

Section: Prior Functionsmentioning

confidence: 99%

Statistical Analysis of Type-II Generalized Progressively Hybrid Alpha-PIE Censored Data and Applications in Electronic Tubes and Vinyl Chloride

Elshahhat

Abo-Kasem

Mohammed

2023

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A new Type-II generalized progressively hybrid censoring strategy, in which the experiment is ensured to stop at a specified time, is explored when the lifetime model of the test subjects follows a two-parameter alpha-power inverted exponential (Alpha-PIE) distribution. Alpha-PIE’s parameters and reliability indices, such as reliability and hazard rate functions, are estimated via maximum likelihood and Bayes estimation methodologies in the presence of the proposed censored data. The estimated confidence intervals of the unknown quantities are created using the normal approximation of the acquired classical estimators. The Bayesian estimators are also produced using independent gamma density priors under symmetrical (squared-error) loss. The Bayes’ estimators and their associated highest posterior density intervals cannot be calculated theoretically since the joint likelihood function is derived in a complicated form, but they can potentially be assessed using Monte Carlo Markov-chain algorithms. We next go through four optimality criteria for identifying the best progressive design. The effectiveness of the suggested estimation procedures is assessed using Monte Carlo comparisons, and certain recommendations are offered. Ultimately, two different applications, one focused on the failure times of electronic tubes and the other on vinyl chloride, are analyzed to illustrate the effectiveness of the proposed techniques that may be employed in real-world scenarios.

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Section: Prior Functionsmentioning

confidence: 99%

Statistical Analysis of Type-II Generalized Progressively Hybrid Alpha-PIE Censored Data and Applications in Electronic Tubes and Vinyl Chloride

Elshahhat

Abo-Kasem

Mohammed

2023

Axioms

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A reliability analysis method for electromagnet performance degradation based on FMEA and fuzzy inference system

Pang,

Dai,

Lian

et al. 2024

Quality & Reliability Eng

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Electromagnets are often used in indirect control for industrial applications. The ability of an electromagnet to control objects should decrease with performance degradation. And electromagnets product poses a danger to people and objects in the working environment. So, it is very difficult to analyze the reliability of electromagnetic performance degradation because of the complicated working condition. Failure Mode and Effect Analysis (FMEA) is the most commonly used tool for product reliability analysis. The new version of FMEA uses integer as evaluation value, which cannot represent the hesitation psychology of the evaluator. The Action Priority (AP) table of the FMEA describes the relationship between the evaluation of influencing factors and the risk level of the failure mode, which provides rules for determining the risk level of the failure mode. However, the AP table may result in multiple failure modes having the same ranking, which does not align with the intention of FMEA to prevent failures. Therefore, this paper proposes a reliability analysis method for electromagnetic performance degradation based on FMEA and FIS. Firstly, the Double Hierarchy Hesitant Fuzzy Linguistic Term Set (DHHFLTS) is used as the evaluation language to describe the hesitation psychology of evaluators. Secondly, the AP table of FMEA is used as FIS fuzzy inference rule. In this way, the idea of FMEA to determine the risk level of failure mode is retained and the problem of FIS fuzzy rule making is overcome. Then, FIS defuzzification AP table inference results to determine the risk ranking of failure modes. This avoids situations where the order of failure modes is equal. Finally, a performance degradation model of the electromagnet is constructed based on the Wiener process, and the calculation results of the new method are verified.

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The restaurant delivery problem with uncertain cooking time and travel time

Xue,

Wang,

Wang

2024

Computers & Industrial Engineering

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Online-to-offline on the railway: Optimization of on-demand meal ordering on high-speed railway

Cited by 5 publications

References 40 publications

Statistical Analysis of Type-II Generalized Progressively Hybrid Alpha-PIE Censored Data and Applications in Electronic Tubes and Vinyl Chloride

Statistical Analysis of Type-II Generalized Progressively Hybrid Alpha-PIE Censored Data and Applications in Electronic Tubes and Vinyl Chloride

A reliability analysis method for electromagnet performance degradation based on FMEA and fuzzy inference system

The restaurant delivery problem with uncertain cooking time and travel time

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