Stochastic model analysis of a noodles manufacturing system

IF 1.6 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of System Assurance Engineering and Management Pub Date : 2024-08-05 DOI:10.1007/s13198-024-02421-9
Alka Chaudhary, Nidhi Sharma, Suman Jaiswal
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Abstract

The paper deals with the stochastic analysis of noodles manufacturing plant. Various subsystems namely—FMCS (feeder system, mixing, compound process, slitting), steaming, CFC (cutting, frying process, cooling and packaging process) are arranged in a series configuration. For the purpose of achieving more reliability of the system an additional steaming unit is attached in parallel to the main steaming unit as a warm standby. Failure rate of the unit is linearly increasing while the distributions of time to repair are general. A single repairman is always available with the system to make the whole system more reliable and productive. The regenerating point technique is used to derive various measures of system effectiveness. The graphs of profit function and MTSF have also been successfully plotted using particular values of various parameters.

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面条制造系统的随机模型分析
本文涉及面条生产厂的随机分析。各种子系统,即 FMCS(喂料系统、和面、复合工艺、分切)、蒸煮、CFC(切割、油炸工艺、冷却和包装工艺)被串联配置。为了提高系统的可靠性,还在主蒸煮装置上并联了一个额外的蒸煮装置,作为热备用。设备的故障率呈线性增长,而维修时间的分布则是一般的。系统中始终有一名维修人员,以提高整个系统的可靠性和生产率。再生点技术用于得出系统有效性的各种衡量标准。利用各种参数的特定值,还成功绘制了利润函数和 MTSF 图。
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来源期刊
CiteScore
4.30
自引率
10.00%
发文量
252
期刊介绍: This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems. Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.
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