Study on the Covering Problem in Network Reliability for Precision Business Management

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY
Shin-Guang Chen
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引用次数: 0

Abstract

A new research area namely, precision business management, is quietly blooming through network theory. In precision business management, several new management tools can be developed to precisely adjust the behavior of the entities in the company to satisfy the management requirement. This paper deals with the situation when specific business process pattern should be recognized, and the related entities in the process have to be identified. It is referred to a kind of covering problem in network reliability. Minimal path set can be considered as a set of flow combinations. However, in some cases, a subset of the flow combination may be required for applications. Therefore, techniques for dealing such cases are needed. This paper proposes a heuristic approach to solve the covering problem in network reliability. Some numerical examples are presented for explanation. The results show that the cases are interesting in the discussion.
面向精密业务管理的网络可靠性覆盖问题研究
通过网络理论,一个新的研究领域——精准企业管理正在悄然兴起。在精密企业管理中,可以开发一些新的管理工具来精确调整公司中实体的行为,以满足管理需求。本文讨论了需要识别特定业务流程模式,以及必须识别流程中相关实体的情况。它是指网络可靠性中的一种覆盖问题。最小路径集可以看作是一组流的组合。然而,在某些情况下,应用程序可能需要流组合的一个子集。因此,需要处理这种情况的技术。本文提出了一种启发式方法来解决网络可靠性中的覆盖问题。给出了一些数值例子来解释。结果表明,这些案例在讨论中是有趣的。
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
CiteScore
1.70
自引率
25.00%
发文量
26
期刊介绍: IJRQSE is a refereed journal focusing on both the theoretical and practical aspects of reliability, quality, and safety in engineering. The journal is intended to cover a broad spectrum of issues in manufacturing, computing, software, aerospace, control, nuclear systems, power systems, communication systems, and electronics. Papers are sought in the theoretical domain as well as in such practical fields as industry and laboratory research. The journal is published quarterly, March, June, September and December. It is intended to bridge the gap between the theoretical experts and practitioners in the academic, scientific, government, and business communities.
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