Controlling the schedule risk in green building projects: Buffer management framework with activity dependence

Xiao, Lei; Bie, Li; Bai, Xue

doi:10.1016/j.jclepro.2020.123852

Cited by 24 publications

(8 citation statements)

References 48 publications

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“…It is also seen that in the US extension of schedules is a weak barrier due to adoption of an integrated design mechanism which allocates enough time for feedback and revision. Xiao, Bie, and Bai in (2021) propose an enhanced buffer management method to dynamically control the delay of schedule risk in GB projects.…”

Section: Discussionmentioning

confidence: 99%

Barriers to Adoption of Commercial Green Buildings in India: A Review

Saha

Hiremath

Prasad

et al. 2021

Journal of Infrastructure Development

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The global construction sector accounts for 13.2% of the world’s gross domestic product (GDP). It not only contributes to the economic growth engine of the world but also climate changes due to its high energy footprint. Sustainable buildings have the potential to reduce the adverse impacts of the construction industry, but their adoption is slow due to hindrances. The aim of this paper is to study literature on barriers to green building adoption to date and highlight the overlapping and unique barriers specific to India in comparison to a few prominent countries, and provide solutions and recommendations for future research. The methodology has been an extensive literature review of the barriers to green building (GB) adoption. The key findings, namely barriers, were classified under economic, governmental, organizational and social perception, information, technology and material categories. Barriers unique to India and a few other developing countries are an extension of project schedules, lack of research and developmental works, lack of public motivation, poor building code enforcement, high payback period, uncertain supply of green materials, improper implementation of policy framework and performance of green building technologies (GBT’s). The GB construction sector is fragmented around the world. Even the GB definition is not the same across the globe although the environmental aspect is the same. Similarly, there are unique and overlapping challenges in GB adoption globally. Buildings in usage perspectives can be classified into residential and non-residential. This study looks only at non-residential GBs due to their homogenous nature. There is a dearth of specific studies related to the adoption of GBs in India. This study aims to fulfil the gap of India’s standing in the barriers to GB adoption with respect to the developed and developing countries. JEL Classification: I18

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Section: Discussionmentioning

confidence: 99%

Barriers to Adoption of Commercial Green Buildings in India: A Review

Saha

Hiremath

Prasad

et al. 2021

Journal of Infrastructure Development

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“…The number of neurons is represented by A, B, and N in the input, output, and hidden layers, respectively. Constant C∈ [1,10].According to the established model, there are 20 neurons in the input layer, that is, A=20, and 1 neuron in the output layer, that is, B=1.Then, N∈ [6,15].…”

Section: Genetic Algorithm To Optimize Bp Neural Network 31 Bp Neural...mentioning

confidence: 99%

“…Yang et al [5]used the social network model to study the risk of stakeholders in green building projects. Lei et al [6]dynamic the schedule risk of green building projects by constructing an improved buffer management method. Guan et al [7]studied the relationship between the risk of green building projects by using the interpretative structural model.…”

Section: Introductionmentioning

confidence: 99%

Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm

zhang,

wang

2023

Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023)

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This study examines the assessment of construction safety risks in green building risk management. By comprehensively considering all factors that affect the safety of green building construction, an evaluation index system is established. The AHP method is used to weigh each index, expert scoring determines the risk level of each project index, and the weighted summation results in the expected output value. In addition, the genetic algorithm (GA) is introduced to optimize the BP neural network, and an evaluation model based on AHP and GA-BP neural network is established that can be used to predict and evaluate construction safety risks. The results show that this method can effectively predict the safety risk of green building construction and provide valuable guidance for the safety management of green building construction.

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“…They employ a dynamic buffer control method based on colour management to order raw materials according to real-time market demand, thus saving inventory costs. Xiao et al. (2021) propose an improved buffer management method to dynamically control the schedule risk in green building projects while helping to reduce greenhouse gas emissions and environmental impacts.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities

Zhang

Han

2022

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PurposeThe activities using drum resources restrict the operation of multi-project systems. However, existing monitoring methods are not suitable for the characteristics of drum activities in the multi-project system. The authors therefore propose an adaptive capacity constraint buffer monitoring model based on the attributes of drum activities, aiming to build a high-efficiency progress control framework for multiple projects.Design/methodology/approachConsidering the attributes and the interrelationship of drum activities, the monitoring reference points are determined on the basis of decentralized buffers. The authors next set action thresholds according to the relationship between the drum activities' interval margin and buffer consumption, and then the corresponding monitoring measures are taken.FindingsThe empirical results show that, compared to the classic methods, the proposed approach can effectively monitor the progress of the drum plan and realize the dual optimization of multi-project duration and cost.Research limitations/implicationsThe buffer consumption at the follow-up monitoring time point is neglected when determining the action thresholds. Prediction methods can be introduced to present more all-sided monitoring.Practical implicationsThis paper fulfils the dual optimization of multi-project duration and cost. It provides a reference guide for project managers.Originality/valueA capacity constraint buffer monitoring method suitable for a multi-project environment is produced.

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Controlling the schedule risk in green building projects: Buffer management framework with activity dependence

Cited by 24 publications

References 48 publications

Barriers to Adoption of Commercial Green Buildings in India: A Review

Barriers to Adoption of Commercial Green Buildings in India: A Review

Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm

Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities

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