The Objective Cost Management of Long-distance Pipeline Construction Projects

2018 ◽  
Vol 40 (03) ◽  
pp. 65-69
Author(s):  
瑞 王
Keyword(s):  
Construction Projects ◽  
Cost Management ◽  
Long Distance ◽  
Pipeline Construction

Research on Project Cost Management Model of Ecological Construction

2011 ◽  
Vol 480-481 ◽  
pp. 1197-1200
Author(s):  
Feng Liu ◽  
Jun Min Wang
Keyword(s):  
Project Management ◽  
Energy Consumption ◽  
Construction Projects ◽  
Cost Management ◽  
Building Energy ◽  
Management Model ◽  
Building Energy Consumption ◽  
Specific Cost ◽  
The Cost ◽  
Ecological Construction

In recent years, in order to reduce building energy consumption in China, and vigorously promote the development of ecological construction, the paper studies disadvantages of the cost of traditional project management applications in the ecological construction projects, exploring specific cost management adapt to the ecological construction project.

Discussion on Control Methods of Geological Hazards Induced by Long-Distance Pipeline Construction

ICPTT 2012 ◽  
2012 ◽  
Author(s):  
Shuhuai Mu ◽  
Jianfeng Gao ◽  
Jinhong Huo ◽  
ChengLei Wang ◽  
Conggang Jiang
Keyword(s):  
Control Methods ◽  
Geological Hazards ◽  
Long Distance ◽  
Pipeline Construction

scholarly journals Impacts of change management on risk and cost management of a construction projects

2019 ◽  
pp. 157-164 ◽  
Author(s):  
Mohamed Ibrahim Khalifa Halou ◽  
Razali Samin ◽  
Mushtaq Ahmad
Keyword(s):  
Change Management ◽  
Construction Projects ◽  
Cost Management

scholarly journals An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects

2020 ◽  
Vol 10 (15) ◽  
pp. 5171 ◽  
Author(s):  
Temitope Omotayo ◽  
Awuzie Bankole ◽  
Ayokunle Olubunmi Olanipekun
Keyword(s):  
Decision Support ◽  
Construction Projects ◽  
Cost Management ◽  
Management Practice ◽  
Project Managers ◽  
Construction Process ◽  
Neural Network Approach ◽  
Cost Overruns ◽  
Effective Cost ◽  
Artificial Neural

The post-contract phase of the construction process remains critical to cost management. Several techniques have been used to facilitate effective cost management in this phase. However, the deployment of these techniques has not caused a reduction in the incidence of cost overruns hence casting doubts on their utility. The seeming underwhelming performance posted by these post-contract cost control techniques (PCCTs), has been traced to improper deployment by construction project managers (CPM) and quantity surveyors (QS). Utilizing the perspectives of CPM and QS professionals, as elicited through a survey, produced 135 samples. The instrumentality of the artificial neural networks (ANN) in this study enabled the development of a structured decision-support methodology for analysing the most appropriate PCCTs to be deployed to different construction process phases. Besides showcasing the utility of the emergent ANN-based decision support methodology, the study’s theoretical findings indicate that CPM and QS professionals influence decisions pertaining to PCCTs choice in distinct phases of the construction process. Whereas QS professionals were particularly responsible for the choice of PCCTs during the initial and mid-level phases, CPM professionals assumed responsibility for PCCTs selection during the construction process close-out phase. In construction cost management practice, the crucial PCCTs identifies more with the application of historical data and all cost monitoring approaches.

Advanced linear scheduling program with varying production rates for pipeline construction projects

2012 ◽  
Vol 27 ◽  
pp. 99-110 ◽  
Author(s):  
Greg Duffy ◽  
Asregedew Woldesenbet ◽  
“David” Hyung Seok Jeong ◽  
Garold D. Oberlender
Keyword(s):  
Construction Projects ◽  
Production Rates ◽  
Pipeline Construction ◽  
Linear Scheduling

An Identification of Construction Project Overheads for Sustainable Cost Management and Controlling Practices (CMCPs)

2015 ◽  
Vol 776 ◽  
pp. 121-126
Author(s):  
Nyoman Martha Jaya ◽  
Ariany Frederika
Keyword(s):  
Literature Review ◽  
Construction Projects ◽  
Cost Management ◽  
Construction Project ◽  
Construction Stage ◽  
Sustainable Improvement ◽  
Project Costs ◽  
Percentage Basis

Project overheads are allocated on a percentage basis to project costs and common to maintain multiple cost objects, but cannot directly be distributed to construction activities. Construction project overheads have to be identified their cost behaviours properly in order to sustain Cost Management and Controlling Practices (CMCPs) during the construction stage. The literature review method identified forty seven (47)project overheads and categorised into four hierarchies (unit, batch, project, and facility levels). Therefore, the identification of project overheads should enable a sustainable improvement to the CMCPs in construction projects.

scholarly journals Comparative Study of Pipeline Deliverables using Deterministic and Stochastic Models

2019 ◽  
Vol 4 (1) ◽  
pp. 115-122
Author(s):  
Ernest Oria Ihendeson ◽  
Awajiogak A Ujile ◽  
Anthony K. Leol
Keyword(s):  
Stochastic Model ◽  
Construction Projects ◽  
Deterministic Model ◽  
Critical Path ◽  
Project Schedule ◽  
Construction Time ◽  
Planning And Scheduling ◽  
Pipeline Construction ◽  
Stochastic Duration ◽  
Model Variable

This study aim to proffer solution to the factors causing delay is pipeline construction project deliverables, it compared deterministic model (variable with certainty) and stochastic model (variable with uncertainty), with Six (6) planned project schedules of Brownfield Energy Service Limited for pipeline construction. Time assigned to critical activities, identified from a network analysis, with the aid of the Critical Path Method, expected mean time, both deterministic and stochastic duration was calculated. Program Evaluation Review Techniques (PERT), the variance and standard deviation of the critical activities were also calculated. The probability of completion of a project within a given period was gotten with PERT. Comparing the results for deterministic duration 60 days to 79 days, which is 50% compared to 64%. It was concluded that stochastic model is preferable when scheduling and executing pipeline construction projects, because uncertainties are factored into the planning and scheduling process including delays. Delays during execution stage, occurs mainly due to community related issues, equipment failures, change in job scope and work- men antics but not limited to these. This study advocates elimination of causes of delay, especially before and during project execution phase. It also suggested that every project schedule should follow an order of precedents, prerequisite, and management involvement and cooperation at all stages of the project

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