The principle of the Root Square Error Method.

The principle of the Root Square Error Method.

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In order to solve the problems such as project duration delay caused by unreasonable buffer zone setting, a critical chain buffer zone setting method is proposed based on fragility theory. Firstly, we propose that the construction process is brittle and the brittleness of the construction process was analyzed. Secondly, this paper introduces a risk...

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... fully satisfies the rules of fuzzy time accumulation. The principle is shown in the Figure 4. The specific calculation formula is as follows. ...

Citations

... -Developing improved buffer monitoring techniques that provide more accurate and reliable information about project progress and potential risks [36,38] -Investigating strategies for effective buffer management to optimize resource allocation and minimize buffer consumption [8] -Exploring the impact of different buffer sizing methods on project performance and identifying the most suitable approach for different project types or industries [7,9,10,42] -Assessing the effectiveness of buffer monitoring and management in different project environments, such as highly dynamic or uncertain settings. [41,43] The main problem in buffer monitoring and management in CCPM schedules revolves around the need to develop effective approaches and methods to model, monitor, and manage buffers in project scheduling. ...
... The proposed method is compared with classic buffer monitoring methods, and simulation results show that the proposed method can achieve overall optimization and improve the comprehensive performance of buffer monitoring. [42] proposed a critical chain buffer zone setting method based on fragility theory that aims to reduce the construction period, increase productivity, provide an analysis of the brittleness of the construction process, introduce a risk-integrated impact rate to describe the uncertainty of the construction process, and establish a brittle risk entropy function to improve buffer zone calculation. [43] discussed the importance of buffer monitoring in critical chain project management as it helps in tracking critical chain activities and predicting their duration to ensure that the project stays on schedule and propose a dynamic buffer monitoring method combining buffer monitoring and forecasting using support vector machine to create a duration prediction model by predicting the duration of the subsequent activity relying on the duration data of completed activities. ...
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Projects in the AEC industry often experience significant schedule delays due to complexity, inadequate planning , design inconsistencies, resource unavailability, poor resource utilization, or scope changes. This requires the use of project management techniques to control these challenges. This paper focuses on buffer monitoring and management in Critical Chain Project Management (CCPM) schedules, integrating blockchain technology to improve project stability and performance. It introduces a framework for implementing blockchain-based CCPM buffer monitoring while utilizing the Design Science Research methodology through six research stages: problem identification, literature review, brainstorming, system design, testing, and evaluation. The evaluation includes regression analysis and a questionnaire survey to assess the prototype system. The findings emphasize blockchain's potential for real-time updates, early risk detection, and enhanced collaboration, benefiting project stakeholders. Further research is encouraged on scalability, interoperability, feasibility in various project contexts , potential risks, and mitigation approaches, contributing to advancements in project management research and practice.
... Several methods have been proposed to determine the sizes of the project buffer and feeding buffers, such as the cut and paste method (C&PM) (Goldratt, 1997), root square error method (RSEM) (Newbold, 1998), probabilistic-based method (Poshdar et al., 2016), resource reliability analysis (Zarghami et al., 2020), failure mode and effects analysis (FMEA) (Zohrehvandi & Khalilzadeh, 2019), network decomposition method (She et al., 2021), brittle risk entropy (J. L. Peng & C. Peng, 2022), and data driven method (Li et al., 2022). ...
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Supply chain management plays a pivotal role in the smooth execution of prefabricated construction. One key aspect involves strategically placing and sizing buffers to handle uncertainties (e.g., stochastic material lead-times and activity durations) within the prefabricated construction supply chain (PCSC). This study examines three buffering policies based on varying combinations of time and inventory buffers to mitigate stochastic material delays and activity prolongs in PSCS, namely, pure inventory buffering policy, pure time buffering policy, and mixed inventory-time buffering policy. To enable this analysis, we characterize how stochastic material delays originating from off-site supply chains impact project schedules, and then develop mathematical procedures for sizing inventory and/or time buffers under the three buffering policies. Case application and numerical analysis are conducted to investigate the performance of these buffering policies and the impact of the project characteristics on them (e.g., due date and arrival rate). Finally, insights are extracted to assist managers in choosing appropriate policies for projects with different characteristics. In general, combining inventory and time buffers results in better performance, particularly under tight project deadlines and high arrival rates. The pure time buffering policy can also be a viable option in specific situations, allowing managers to have more choices.
... This new dynamic monitoring method was compared with traditional monitoring methods, and simulation results demonstrate its ability to optimize overall performance and improve buffer monitoring effectiveness. Peng and Peng (2022) focused on a buffer zone setting method based on fragility theory in critical chain project management. The objective of this method is to reduce construction time, increase productivity, and analyze the brittleness of the construction process. ...
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Construction and engineering projects often face delays and inefficiencies, which can be attributed to various factors. CCPM, a resource-focused project management technique, utilizes buffers strategically to mitigate delays. By leveraging blockchain's shared and secure ledger capabilities, this study proposes a framework for effectively measuring, monitoring, and controlling CCPM projects. The integration of blockchain technology aims to provide a more efficient approach to meeting project milestones and supporting project plan success. This paper explores the implementation of blockchain technology to enhance project buffer monitoring and progress sharing in Critical Chain Project Management (CCPM).
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Rédaction collaborative du livre "Introduction au management de projet complexe"