Planning-stage estimation of highway project duration on the basis of anticipated project cost, project type, and contract type

2011 ◽  
Vol 29 (1) ◽  
pp. 78-92 ◽  
Author(s):  
Muhammad Irfan ◽  
Muhammad Bilal Khurshid ◽  
Panagiotis Anastasopoulos ◽  
Samuel Labi ◽  
Fred Moavenzadeh
Keyword(s):  
Project Cost ◽  
Planning Stage ◽  
Project Duration ◽  
Contract Type ◽  
Stage Estimation ◽  
Highway Project

Comparison of Search-Based Software Engineering Algorithms for Resource Allocation Optimization

2016 ◽  
Vol 25 (4) ◽  
pp. 629-642 ◽  
Author(s):  
Nazia Bibi ◽  
Zeeshan Anwar ◽  
Ali Ahsan
Keyword(s):  
Resource Allocation ◽  
Software Engineering ◽  
Resource Utilization ◽  
Experimental Results ◽  
Project Cost ◽  
Project Duration ◽  
Search Based Software Engineering ◽  
Resource Leveling ◽  
Pareto Fronts ◽  
Percent Decrease

AbstractA project manager balances the resource allocation using resource leveling algorithms after assigning resources to project activities. However, resource leveling does not ensure optimized allocation of resources. Furthermore, the duration and cost of a project may increase after leveling resources. The objectives of resource allocation optimization used in our research are to (i) increase resource utilization, (ii) decrease project cost, and (iii) decrease project duration. We implemented three search-based software engineering algorithms, i.e. multiobjective genetic algorithm, multiobjective particle swarm algorithm (MOPSO), and elicit nondominated sorting evolutionary strategy. Twelve experiments to optimize the resource allocation are performed on a published case study. The experimental results are analyzed and compared in the form of Pareto fronts, average Pareto fronts, percent increase in resource utilization, percent decrease in project cost, and percent decrease in project duration. The experimental results show that MOPSO is the best technique for resource optimization because after optimization with MOPSO, resource utilization is increased and the project cost and duration are reduced.

scholarly journals The Effect of Using Multi-Skilled Workforce on the Flexibility of Project Resource Scheduling and Project Costs

2018 ◽  
Vol 10 (4(J)) ◽  
pp. 235-251 ◽  
Author(s):  
Thulisile Manyi ◽  
Rosemary Sibanda ◽  
Ankit Katrodia
Keyword(s):  
Quantitative Research ◽  
Positive Impact ◽  
Resource Scheduling ◽  
Cost Savings ◽  
Project Cost ◽  
Project Duration ◽  
Research Hypothesis ◽  
Project Costs ◽  
Duration Effect ◽  
Positive Effect

The introduction of multi-skilling within organisations is normally conducted with the aim of improving efficiency, quality, production and cost-effectiveness. The study addressed the effect of using multiskilled workforce in the execution of project activities by studying the changes in project execution resource scheduling flexibility and project costs in response to workforce multi-skilling strategy. A quantitative research design was used, to test the concept of workforce multi-skilling to predict its influence on project resource scheduling, project cost saving, project duration, effect on optimal utilization of project technicians and members if adopted at Eskom PTM Central Group department. An electronic questionnaire was distributed to collect data and statistical analysis of data was conducted. The hypothesis testing performed concluded as follows; H1: The use of multi-skilling provides for flexible project resource scheduling; the research hypothesis was accepted. H2: Multi-skilling has a positive effect on the project cost savings; the research hypothesis was rejected. H3: The use of multi-skilling has no significant impact on project duration; the research hypothesis was rejected. H4 (i): The findings show that a positive relationship between multi-skilling and job redesign exists, and H4 (ii): Multi-skilling therefore has a positive impact on the adoption of multi skills; both research hypotheses were accepted.

scholarly journals Analysis of the Transmission of Project Duration and Cost Impacts Based on the GERT Network Technique

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 337 ◽  
Author(s):  
Zhiyong Li ◽  
Xiangtian Nie ◽  
Bo Wang ◽  
Tianyu Fan
Keyword(s):  
Analytical Method ◽  
Hybrid Structures ◽  
Transmission Model ◽  
Project Cost ◽  
Project Duration ◽  
Numerical Examples ◽  
Cost Increase ◽  
Gert Network ◽  
Engineering Projects

In engineering projects, project duration and a cost increase occur in every phase and will propagate their impacts downstream. Associated with the compensation of project duration, the duration and cost impacts are transferred among phases. In this paper, after illustrating the transmission of project duration and cost impacts, we will use the risk transmission theory and GERT (Graphic Evaluation and Review Technique) network technique to build a transmission model. We have designed equivalent parameters of project duration and cost impacts in the GERT model for serial, parallel, and hybrid structures. The algorithm of the GERT network for project cost and duration transmission is analyzed. The effectiveness of this model and algorithm is proved by numerical examples. This paper provides a new analytical method for cost and duration control of engineering projects.

scholarly journals Control and Management Measures of Highway Project Cost under the PPP Model

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Hanzhi Kou
Keyword(s):  
Project Management ◽  
Cost Control ◽  
Project Cost ◽  
Highway Projects ◽  
Existing Problems ◽  
Management Measures ◽  
Control And Management ◽  
The Cost ◽  
Highway Project ◽  
Management Of Project

In recent years, China’s society and economy has been developing very rapidly, and various industries are showing a trend of vigorous development. The importance of control and management of project cost in highway project management is becoming more and more prominent. PPP model has been widely used in the control and management of highway project cost with its own unique advantages. The author analyzes the important advantages of the PPP model and the existing problems in the cost control and management of highway projects, and puts forward effective measures for the cost control and management of highway projects using the PPP model, in hope of helping with the smooth implementation of the work.

IMPACT OF BIDDING ENVIRONMENT ON CHANGE ORDERS

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Bahadir V. Barbarosoglu ◽  
David Arditi
Keyword(s):  
Construction Projects ◽  
Potential Change ◽  
Project Cost ◽  
Change Orders ◽  
Public Building ◽  
Project Duration ◽  
Project Completion ◽  
The Difference ◽  
Dollar Amount ◽  
Total Project

Change orders occur during construction, and usually increase both construction cost and project duration. This paper investigates how change orders are related to the bidding environment. The data used in this study were collected from 74 public building construction projects awarded by the Public Building Commission of Chicago in the seven-year period 2008-2015. The contract values range between $0.3-$70 million, and the total worth of the projects is a little over $1.1 billion. While delay may result in liquidated damages for contractors, increase in project cost can cause financial problems for owners. It is in the interest of owners and contractors to study similar past projects, and to observe how change orders are affected by the level of competition in bidding. Owners must budget for contingencies, and contractors must adjust their resources in anticipation of change orders. It would therefore be quite desirable for owners and contractors to be able to predict the dollar amount and duration implications of potential change orders by making use of past historical data. The prediction of the dollar amount and duration implications of potential change orders before the construction starts can alert construction owners and contractors to potential delays in total project completion time and potential overruns in total project cost. Knowledge about potential change orders creates a predictable environment and improves the relationship between owners and contractors. The results of this study indicate that contractor-driven change orders are positively related to the difference between the lowest and the second lowest bids.

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