Threshold Control Policy for Maintainability of Manufacturing System with Unreliable Workstations

Shekhar, Chandra; Jain, Madhu; Iqbal, Javid; Raina, Anupuma

doi:10.1007/s13369-017-2636-6

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…It is always vital to maintain production throughput rates and a higher level of product quality. For this reason, an effective failure control system must be implemented to ensure smooth production operations in any company [3]. Process owners should practice a systematic way to study and detect machine failures and their associated causes.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?

Ahmad

Badwelan

Ghaleb

et al. 2018

Wireless Communications and Mobile Computing

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Machine failures cause adverse impact on operational efficiency of any manufacturing concern. Identification of such critical failures and examining their associations with other process parameters pose a challenge in a traditional manufacturing environment. This research study focuses on the analysis of critical failures and their associated interaction effects which are affecting the production activities. To improve the fault detection process more accurately and efficiently, a conceptual model towards a smart factory data analytics using cyber physical systems (CPS) and Industrial Internet of Things (IIoTs) is proposed. The research methodology is based on a fact-driven statistical approach. Unlike other published work, this study has investigated the statistical relationships among different critical failures (factors) and their associated causes (cause of failures) which occurred due to material deficiency, production organization, and planning. A real business case is presented and the results which cause significant failure are illustrated. In addition, the proposed smart factory model will enable any manufacturing concern to predict critical failures in a production process and provide a real-time process monitoring. The proposed model will enable creating an intelligent predictive failure control system which can be integrated with production devices to create an ambient intelligence environment and thus will provide a solution for a smart manufacturing process of the future.

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Section: Introductionmentioning

confidence: 99%

Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?

Ahmad

Badwelan

Ghaleb

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Numerical results were provided to study the effects of different system parameters on various performance measures. Shekhar, Jain, Iqbal, and Raina (2017) proposed the computational approach to calculate the transient and steady state probabilities of the machine repair problem with an unreliable server operating under F -policy. Greedy selection and Newton-quasi methods were used to determine the optimal solutions at minimum cost.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based measure of a retrial machine repair problem with working breakdowns under the F-policy

Yen

Wang

2020

Computers & Industrial Engineering

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Highlights We consider a F -policy retrial machine repair problem with working breakdowns. One practical illustration of the online-learning cloud system is presented. The differential equations are tabulated and solved by Laplace transform technique. Closed-form expressions for the reliability and the MTTF are explicitly derived. Reliability sensitivity analysis with respect to system parameters are performed. Several management insights for managers to enhance the reliability are provided.

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Elucidating the Semantic Web of Things for Making the Industry 4.0 Revolution a Success

2022

Tools, Languages, Methodologies for Representing Semantics on the Web of Things

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Threshold Control Policy for Maintainability of Manufacturing System with Unreliable Workstations

Cited by 11 publications

References 27 publications

Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?

Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?

Reliability-based measure of a retrial machine repair problem with working breakdowns under the F-policy

Elucidating the Semantic Web of Things for Making the Industry 4.0 Revolution a Success

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