Critical chain project management for a highway construction project with a focus on theory of constraints

Sarkar, Debasis; Jha, Kumar Neeraj; Patel, Shraddha

doi:10.1080/15623599.2018.1512031

Cited by 21 publications

(19 citation statements)

References 12 publications

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“…In this method, buffer size was determined by assigning a scaling factor to the standard deviation of a chain. Sarkar et al (2021) developed an enhanced CCPM framework for effective implementation of projects related to construction. The proposed framework improved buffer sizing by integrating the various uncertainties that affect construction scheduling.…”

Section: Traditional Buffer Management Methodsmentioning

confidence: 99%

“…Hu et al (2017) developed an improved framework for buffer management based on critical chain, which allowed for additional resources to be allocated if need be. Sarkar et al (2018) focused on construction projects and developed a project management framework based on critical chains. Hu et al (2019) presented six prioritization indices for selecting an optimal chain when more than one chain is possible.…”

Section: Project Buffer Sizingmentioning

confidence: 99%

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Project scheduling and buffer management: A comprehensive review and future directions

Zohrehvandi¹,

Soltani²

2022

10.5267/j.jpm

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In the project management, buffers are considered to handle uncertainties that lead to changes in project scheduling which in turn causes project delivery delay. The purpose of this survey is to discuss the state of the art on models and methods for project buffer management and time optimization of construction projects and manufacturing industries. There are not literally any surveys which review the literature of project buffer management and time optimization. This research adds to the previous literature surveys and focuses mainly on papers after 2014 but with a quick review on previous works. This research investigates the literature from project buffer sizing, project buffer consumption monitoring and project time/resource optimization perspectives.

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Section: Traditional Buffer Management Methodsmentioning

confidence: 99%

Section: Project Buffer Sizingmentioning

confidence: 99%

Project scheduling and buffer management: A comprehensive review and future directions

Zohrehvandi¹,

Soltani²

2022

10.5267/j.jpm

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“…Zhang et al (2017) developed a buffer sizing method based on a fuzzy resource-constrained project scheduling problem to obtain an appropriate proportionality between the activity duration and the buffer size. Sarkar et al (2018) proposed a framework for improving buffer sizing by integrating the various uncertainties that affect construction scheduling. They aimed at developing an enhanced critical chain project management framework for effective implementation of construction projects.…”

Section: Literature Reviewmentioning

confidence: 99%

A project buffer and resource management model in energy sector; a case study in construction of a wind farm project

Zohrehvandi

Vanhoucke

Khalilzadeh

2020

IJESM

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Purpose This study aims to introduce an efficient project buffer and resource management (PBRM) model for project resource leveling and project buffer sizing and controlling of project buffer consumption of a wind power plant project to achieve a more realistic project duration. Design/methodology/approach The methodology of this research consists of three main phases. In the first phase of the research methodology, resource leveling is done in the project and resource conflicts of activities are identified. In the second phase, the project critical chain is determined, and the appropriate size of the project buffer is specified. In the third phase of the methodology, buffer consumption is controlled and monitored during the project implementation. After using the PBRM method, the results of this project were compared with those of the previous projects. Findings According to the obtained results, it can be concluded that using PBRM model in this wind turbine project construction, the project duration became 25 per cent shorter than the scheduled duration and also 29 per cent shorter than average duration of previous similar projects. Research limitations/implications One of the major problems with projects is that they are not completed according to schedule, and this creates time delays and losses in the implementation of projects. Today, as projects in the energy sector, especially renewable projects, are on the increase and also we are facing resource constraint in the implementation of projects, using scheduling techniques to minimize delays and obtain more realistic project duration is necessary. Practical implications This research was carried out in a wind farm project. In spite of the initial plan duration of 142 days and average duration of previous similar projects of 146 days, the project was completed in 113 days. Originality/value This paper introduces a practical project buffer and resource management model for project resource leveling, project buffer sizing and buffer consumption monitoring to reach a more realistic schedule in energy sector. This study adds to the literature by proposing the PBRM model in renewable energy sector.

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“…These methods are mainly based on two ideas: Allocating buffers centrally at the end of the schedule chain and allocating buffers scatteredly to the schedule. The critical chain method [7] is the main method to allocate buffers centrally [8][9][10] and its advantages have been verified [11][12][13]. The methods of allocating buffers scatteredly mainly include virtual activity duration extension (VADE) [14], resource flow dependent float factor (RFDFF) [15] and starting time criticality (STC) [16], which are also widely studied and applied.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Construction Duration and Schedule Robustness Based on Hybrid Grey Wolf Optimizer with Sine Cosine Algorithm

Zhao

Wang

et al. 2020

Energies

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Construction duration and schedule robustness are of great importance to ensure efficient construction. However, the current literature has neglected the importance of schedule robustness. Relatively little attention has been paid to schedule robustness via deviation of an activity’s starting time, which does not consider schedule robustness via structural deviation caused by the logical relationships among activities. This leads to a possibility of deviation between the planned schedule and the actual situation. Thus, an optimization model of construction duration and schedule robustness is proposed to solve this problem. Firstly, duration and two robustness criteria including starting time deviation and structural deviation were selected as the optimization objectives. Secondly, critical chain method and starting time criticality (STC) method were adopted to allocate buffers to the schedule in order to generate alternative schedules for optimization. Thirdly, hybrid grey wolf optimizer with sine cosine algorithm (HGWOSCA) was proposed to solve the optimization model. The movement directions and speed of grey wolf optimizer (GWO) was improved by sine cosine algorithm (SCA) so that the algorithm’s performance of convergence, diversity, accuracy, and distribution improved. Finally, an underground power station in China was used for a case study, by which the applicability and advantages of the proposed model were proved.

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Critical chain project management for a highway construction project with a focus on theory of constraints

Cited by 21 publications

References 12 publications

Project scheduling and buffer management: A comprehensive review and future directions

Project scheduling and buffer management: A comprehensive review and future directions

A project buffer and resource management model in energy sector; a case study in construction of a wind farm project

Optimization of Construction Duration and Schedule Robustness Based on Hybrid Grey Wolf Optimizer with Sine Cosine Algorithm

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