A buffer control method for top-down project control

Martens, Annelies; Vanhoucke, Mario

doi:10.1016/j.ejor.2017.03.034

Cited by 34 publications

(30 citation statements)

References 29 publications

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“…Unspecific to mining, construction scheduling research has been thoroughly explored in the past, with main focuses including duration uncertainty and scheduling under unpredictable circumstances (Zhou, Love, Wang, Teo, & Irani, 2013). Martens and Vanhoucke (2017) proposed a different approach to project management in the construction industry based on reacting and correcting unexpected events throughout the project management. Other studies have employed a variety of optimization models to construction scheduling problems such as simulated annealing (Azaron, Sakawa, Tavakkoli-Moghaddam, & Safaei, 2007, König & Beißert, 2009, ant colony optimization (Xiong & Kuang, 2008), particle swarm optimization (Guo, Zhu, Ding, & Li, 2010), neural networks (Adeli & Karim, 1997), and genetic algorithms (Guo, Zhu, Ding, & Li, 2010;Eldin & Senouci, 2004;and Calp & Akcayol, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Uncertainty Management Associated With Project Scheduling in Mine Construction: A Coal Mining Case Study

Renaud

Kumral

2020

Preprint

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Due to the cyclical nature of commodity prices, the profitability of mining projects relies on proper timing. To ensure optimal profits, mines should be brought online at the time, which maximizes the potential value of the asset. In this paper, a coking coal mine construction case is used to demonstrate the effectiveness of scheduling large-scale construction projects with uncertain durations under price cyclicality. Project parameters are obtained stochastically via Monte Carlo sampling, allowing for the influence of uncertainty to be quantified. The critical path method and linear programming are employed to analyze the results and to optimize the construction process, ensuring the maximum value of the mining project. The parameters are repeatedly sampled to obtain distributions of possible project outcomes, allowing for risk and sensitivity quantification. The optimal schedule for construction was determined to be 247 weeks, with a most likely value of $813 million.

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Section: Literature Reviewmentioning

confidence: 99%

Uncertainty Management Associated With Project Scheduling in Mine Construction: A Coal Mining Case Study

Renaud

Kumral

2020

Preprint

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“…Five important prerequisites have been identified for implementing CCPM: unity of purpose, fixed throughput, urgency, sequential workflow and a non-dedicated team. Martens and Vanhoucke (2007) offered a buffer control method for top-down project control. The buffer size and buffer protection methods that have been proposed to date have been stochastic in nature, since these studies have tried to model the disruptions caused by uncertainty-laden critical chains.…”

Section: Review Of Literaturementioning

confidence: 99%

Predicting Penetration of the Project Buffer Time of Critical Chain Project Management (CCPM) Using a Linear Programming Approach

Jagtap

2020

IIM Kozhikode Society & Management Review

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Managing the disruptions in projects is a challenging task for project managers. In this respect, critical chain project management (CCPM) has been considered as a promising methodology in expediting projects. However, the effectiveness of this methodology is often lost in search of optimal use of project buffers to hedge against delays occurring in the critical chain. The more critical chain activity gets delayed, the greater is the likelihood of penetration of project buffer time. The resource constraints of critical chains have been considered as a major determinant of project buffer penetration. Although a project buffer is provided to protect the critical chain, to keep the CCPM project schedule competitive, it is the priority of the project manager to minimize the blatant consumption of project buffer time by multiple critical chain activities. Historically, resource constraints within the critical chain have been associated with penetration of project buffer time. The literature suggests that the productivity of resources deployed in the critical chain can predict the penetration of project buffer time. Based on the premise that delays are omnipresent and unavoidable but predictable, this research aims to consider the post-facto measures of delays instead of pre-facto measures. Pre-facto measures are resources productivity and resources availability while post-facto measures are the compensation paid by the client and the cost of liquidity damages incurred by the contractor. It is assumed that pre-facto measures are convertible into post-facto measures. A linear programming model is formulated and tested using the case of Botanical Garden Construction Project in Pune city. Sensitivity analysis revealed that the propensity of project buffer penetration on a critical chain varies with the compensation matrix. Varieties of scenario are developed and the optimal solution is validated with the case study.

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“…As mentioned before in literature, authors in [3] and [12] applied buffer management concept in EVM method to produce a new tolerance limits for SPI (t) and SV (t) metrics. In this section, we applied EVM concepts to construct an improved buffer monitoring system.…”

Section: Integration Of Buffer Monitoring System and Earned Value Manmentioning

confidence: 99%

“…In [3] the application of buffer concept from critical chain management in earned value management/ earned schedule (EVM/ES) is illustrated and linearly tolerance limits were proposed for the EVM/ES schedule performance metrics SPI (t) and SV (t). In the other research, authors set tolerance limits for EVM/ES schedule performance metrics EVM/ES by allocating project buffer over the different project phases and new metrics have been developed [12].…”

Section: Literature Reviewmentioning

confidence: 99%

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A New Buffer Monitoring Approach Based on Earned Value Management Concepts

2018

Oct. 17-19, 2017 Dubai (UAE)

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A buffer control method for top-down project control

Cited by 34 publications

References 29 publications

Uncertainty Management Associated With Project Scheduling in Mine Construction: A Coal Mining Case Study

Uncertainty Management Associated With Project Scheduling in Mine Construction: A Coal Mining Case Study

Predicting Penetration of the Project Buffer Time of Critical Chain Project Management (CCPM) Using a Linear Programming Approach

A New Buffer Monitoring Approach Based on Earned Value Management Concepts

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