A synthetic buffer monitoring strategy in multi-project scheduling

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-03-01 DOI:10.1016/j.cie.2025.111025
Tian Min , Dong Jiamin
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引用次数: 0

Abstract

Most existing studies on critical chain buffer monitoring focus on single projects, with limited attention given to multi-projects. However, the scope and emphasis of multi-project monitoring differ from those in single projects, leading to more complex chain structures and trigger settings. This paper proposes a synthetic buffer monitoring strategy to improve the buffer monitoring process in multi-project scheduling. First, we design a hierarchical chain structure both within and across sub-projects, using sub-chain buffer monitoring to replace whole-chain buffer monitoring. Second, we propose a single-point synthetic buffer monitoring method based on dynamic buffer monitoring method and relative buffer monitoring method to enhance the flexibility of trigger settings. Finally, we use a multi-project example from an enterprise to verify the effectiveness of the synthetic buffer monitoring strategy and design four evaluation indicators to assess the outcomes of buffer monitoring. The results show that when a multi-project is delayed, the first warning time for buffer consumption entering the red area is significantly reduced, and the mean warning time after buffer consumption entering the red area is substantially shortened.
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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