An Active Construction Dynamic Schedule Management Model: Using the Fuzzy Earned Value Management and BP Neural Network

Yu, Fangfang; Chen, Xiaobo; Cory, Clark A.; Yang, Zhixuan; Hu, Yingwen

doi:10.1007/s12205-021-1041-6

Cited by 11 publications

(6 citation statements)

References 40 publications

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“…A project network diagram always begins with an event that indicates the start of the project and ends with an event that indicates the end of the project activity ( Pandiyan, et al, 2020). Each project can consist of several paths or paths from the initial event to the final even ( Dai, et al, 2020) Basically the network is a way of depicting project activities in the form of symbols ( Yu, et al, 2021).…”

Section: Critical Path Methods (Cpm)mentioning

confidence: 99%

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Rosalinda¹,

Nizmah²,

R³

et al. 2023

SJR

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Delays in completing the Kelapa Dua shop-house construction project at CV. Mentari permai is a problem that often arises and affects the overall project work. The purpose of this research is to determine the critical path, calculate the costs incurred in the construction of the Kelapa Dua shop-house construction project with the duration of the initial and accelerated work and calculate the percentage of achievement of the shop construction project at CV. Mutia Enchantment of Nature. To overcome these delays, several control methods are used in project management. The methods used in this research are the Critical Path Method, PERT (Program Evaluation and Review Technique) and the Crashing Project. The results of the CPM planning method analysis obtained the project completion time for 91 days from the initial duration of 154 days. Whereas in reality the CPM method, the project completion time is 101 days from the initial duration of 167 days. In the PERT method, the project completion time is 107 days from a duration of 181 days with a probability of completion of 0.62%. And in the crashing project there is an acceleration of the completion duration for 9 days with an increase in costs of Rp. 26,545,194 and a total cost of Rp. 506,613,766.

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Section: Critical Path Methods (Cpm)mentioning

confidence: 99%

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Rosalinda¹,

Nizmah²,

R³

et al. 2023

SJR

View full text Add to dashboard Cite

show abstract

“…Earned value management is a management method that integrates scope, schedule, and resources to objectively measure project performance [ 12 , 13 ]. On the basis of work breakdown, a set of methods combining progress monitoring and cost management is established; the project schedule, progress, and cost budget are determined according to the project schedule; and the cost budget is allocated to monitor the progress of the project [ 14 ]. Due to the inconsistency between the measurement units of schedule and cost, earned value management method considers converting time scale into monetary scale according to calculation rules and adopting the same index system to measure the performance of project schedule and cost at the same time so as to solve the difficulty that schedule and cost cannot be checked synchronously [ 15 – 17 ].…”

Section: Application Basis Of Earned Value Management In Constructionmentioning

confidence: 99%

Cost Early-Warning Model System of Large-Scale Construction Project

Dai

2022

Computational Intelligence and Neuroscience

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China’s construction industry has been suffering from high cost, high efficiency, and maladjustment of management. The traditional management mode makes the construction project face the risk of cost overruns and delays, which cannot achieve the effect of cost control. Therefore, by summarizing the characteristics of construction projects and the classification of costs, this paper analyzes the foundation of earned value management method in construction and combines it with cost management; in addition, the actual development of Company A is taken as an example, where a cost early-warning system suitable for construction projects is constructed, including the design of the organizational structure, operation platform, and early-warning model of this system, which can improve the cost management level of construction enterprises to a certain extent.

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“…Water temperature must be measured in the field, and chlorophyll a must be taken back to the laboratory for testing. In order to make the input data meet the input requirements of model, centralization is performed on the input model data by using formulas ( 13)-( 17); the input model data are normalized by using formula (16); and the output model data are reversely normalized by using formula (17) [26][27][28].…”

Section: Data Sources and Preprocessingmentioning

confidence: 99%

Construction of Surface Water Pollution Prediction Model Based on Machine Learning

Che

Wei

Wen³

2022

Scientific Programming

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Existing prediction models have low prediction accuracy for surface water pollution with many influencing factors. Taking algal bloom prediction as the entry point of surface water pollution research, LASSO-LARS algorithm is adopted to select the main factors affecting algal bloom variables. At the same time, combined with BP neural network in machine learning, a surface water pollution prediction model based on machine learning is proposed. The results show that the proposed method can accurately predict the algal blooms by using the BP neural network algal bloom prediction model, where the LASSO-LARS algorithm is used to select the variables, such as water temperature, pH, transparency, conductivity, dissolved oxygen, ammonia nitrogen, and chlorophyll a, as model inputs, and the relative error of prediction is less than 5.2%. Thus, the proposed method has certain validity and practical application value.

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An Active Construction Dynamic Schedule Management Model: Using the Fuzzy Earned Value Management and BP Neural Network

Cited by 11 publications

References 40 publications

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Cost Early-Warning Model System of Large-Scale Construction Project

Construction of Surface Water Pollution Prediction Model Based on Machine Learning

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