Foreword to the Special Issue on Mathematical Methods in Reliability (MMR23)

IF 1.3 4区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Applied Stochastic Models in Business and Industry Pub Date : 2024-10-08 DOI:10.1002/asmb.2894

Félix Belzunce, Jorge Navarro

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引用次数: 0

Abstract

The 12th International Conference on Mathematical Methods in Reliability (MMR 2023, May 30–June 2, Murcia Spain) continues a distinguished tradition of bringing together leading experts, researchers, and practitioners from various fields to explore cutting-edge advancements in reliability theory and applications. Since its inception, the MMR conference series has provided a premier platform for exchanging ideas and promoting collaboration across a wide array of disciplines, including mathematics, engineering, statistics, operations research, and computer science.

Reliability theory plays a crucial role in designing and analyzing complex systems, where safety, dependability, and risk assessment are paramount. As technological advancements accelerate and systems become increasingly intricate, the demand for robust mathematical models and methods to ensure system reliability is more critical than ever.

As the world faces new challenges in ensuring the resilience and reliability of critical infrastructures and technologies, the MMR conference continues to inspire innovation and foster collaboration. We hope this collection of papers will provide readers with valuable insights and stimulate further research in this vibrant and essential field.

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可靠性数学方法特刊（MMR23）前言

第十二届可靠性数学方法国际会议（MMR 2023，5 月 30 日至 6 月 2 日，西班牙穆尔西亚）延续了汇聚各领域顶尖专家、研究人员和从业人员的杰出传统，共同探讨可靠性理论和应用的前沿进展。自创办以来，MMR 系列会议一直为数学、工程学、统计学、运筹学和计算机科学等众多学科提供了一个交流思想和促进合作的重要平台。可靠性理论在复杂系统的设计和分析中起着至关重要的作用，在这些系统中，安全性、可靠性和风险评估至关重要。随着技术进步的加快，系统变得越来越复杂，对确保系统可靠性的稳健数学模型和方法的需求比以往任何时候都更加迫切。随着全球在确保关键基础设施和技术的弹性和可靠性方面面临新的挑战，五矿可靠性会议将继续激励创新，促进合作。我们希望本论文集能为读者提供有价值的见解，并促进这一充满活力的重要领域的进一步研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Stochastic Models in Business and Industry 数学-数学跨学科应用

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process. The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.