Longest path time-cost analysis of construction projects with generalised activity constraints

2006 ◽  
Vol 6 (3) ◽  
pp. 271-281 ◽  
Author(s):  
Athanasios P. Chassiakos
Keyword(s):  
Cost Analysis ◽  
Construction Projects ◽  
Time Cost ◽  
Longest Path

Extending project time–cost analysis by removing precedence relationships and task streaming

2006 ◽  
Vol 24 (6) ◽  
pp. 529-535 ◽  
Author(s):  
Matthew J. Liberatore ◽  
Bruce Pollack-Johnson
Keyword(s):  
Cost Analysis ◽  
Time Cost ◽  
And Task

scholarly journals Characteristics of Procurement Methods in Malaysia – Comparing Design-Bid-Build, Design-Build and Construction Management

2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Azeanita Suratkon ◽  
◽  
Riduan Yunus ◽  
Rafikullah Deraman ◽  
◽  
...  
Keyword(s):  
Construction Industry ◽  
Construction Management ◽  
Construction Projects ◽  
Building Construction ◽  
Technical Expertise ◽  
Time Cost ◽  
Project Complexity ◽  
Design Build ◽  
Procurement Method ◽  
Design Bid Build

Design-Bid-Build (DBB) or commonly known as Traditional method is the earliest and most prevalent procurement method used in Malaysian construction industry. Design-Build (DB) and Construction Management (CM) procurement methods were later introduced in Malaysia as an endeavour to satisfy and accommodate the increase in project complexity and the need for avoiding drawbacks of the Traditional methods. Each procurement method has different nature and possesses certain characteristics. Therefore, this study was carried out to ascertain and compare the characteristics of these three procurement methods that are implemented in building construction projects in Malaysia. A questionnaire survey was conducted among architects, consultants, contractors and owners or developers to elicit their feedback on the characteristics which were categorised into time, cost, quality, complexity and flexibility, degree of involvement and responsibility allocation and technical expertise. The findings indicated that only DB method almost fulfils all the characteristics under the six categories, whereas, DBB methods garnered agreement only for certain characteristics under time, cost, complexity and flexibility and technical expertise categories. Meanwhile, the only CM method’s characteristics that satisfy agreement from the respondents are the often used of fast track approach and lack of certainty in price. This study concludes that when a procurement method is adopted for a construction project, not all the features or characteristics will turn out as expected. There are many factors that contribute and are influential on the success in procurement methods that are worth for further investigation.

Enhancing the Effect on Project Success through Information Presentation

2015 ◽  
Vol 764-765 ◽  
pp. 895-899
Author(s):  
Shiow Luan Wang ◽  
Thi Hoa Vu
Keyword(s):  
Project Management ◽  
Construction Projects ◽  
Project Success ◽  
Project Managers ◽  
Management Process ◽  
Time Cost ◽  
Information Presentation ◽  
Web Based ◽  
Project Participants ◽  
Project Data

Construction projects are becoming ever more complex and time driven, especially as the amount of project data and active project participants’ increase. For achieving a project success, project management not only must to meet time, cost, quality objectives, but also satisfies the project stakeholders needs related to the project management process. Project managers were difficult to effectively seizing, collecting and handling information which are generated from different systems. The elements of information presentation in web-based was contributed an important role to project management success. The purpose of this study is to provide a background to denote the enhancing project management via information presentation based on effective information technology/information systems which are emphasized in web-based.

Hybrid Time-Cost Optimization of Nonserial Repetitive Construction Projects

2009 ◽  
Vol 135 (1) ◽  
pp. 42-55 ◽  
Author(s):  
A. Samer Ezeldin ◽  
Ahmed Soliman
Keyword(s):  
Construction Projects ◽  
Cost Optimization ◽  
Time Cost

Optimizing time–cost in generalized construction projects using multiple-objective social group optimization and multi-criteria decision-making methods

2020 ◽  
Vol 27 (9) ◽  
pp. 2287-2313 ◽  
Author(s):  
Duc Hoc Tran
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Project Managers ◽  
Multiple Objective ◽  
Cost Curve ◽  
Multi Criteria Decision Making ◽  
Construction Process ◽  
Time Cost ◽  
Content Type ◽  
Social Group Optimization

PurposeProject managers work to ensure successful project completion within the shortest period and at the lowest cost. One of the main tasks of a project manager in the planning phase is to generate the project time–cost curve, and furthermore, to determine the most appropriate schedule for the construction process. Numerous existing time–cost tradeoff analysis models have focused on solving a simple project representation without regarding for typical activity and project characteristics. This study aims to present a novel approach called “multiple-objective social group optimization” (MOSGO) for optimizing time–cost decisions in generalized construction projects.Design/methodology/approachIn this paper, a novel MOGSO to mimic the time–cost tradeoff problem in generalized construction projects is proposed. The MOSGO has slightly modified the mechanism operation from the original algorithm to be a free-parameter algorithm and to enhance the exploring and exploiting balance in an optimization algorithm. The evidential reasoning technique is used to rank the global optimal obtained non-dominated solutions to help decision makers reach a single compromise solution.FindingsTwo case studies of real construction projects were investigated and the performance of MOSGO was compared to those of widely considered multiple-objective evolutionary algorithms. The comparison results indicated that the MOSGO approach is a powerful, efficient and effective tool in finding the time–cost curve. In addition, the multi-criteria decision-making approaches were applied to identify the best schedule for project implementation.Research limitations/implicationsAccordingly, the first major practical contribution of the present research is that it provides a tool for handling real-world construction projects by considering all types of construction project. The second important implication of this study derives from research finding on the hybridization multiple-objective and multi-criteria techniques to help project managers in facilitating the time–cost tradeoff (TCT) problems easily. The third implication stems from the wide-range application of the proposed model TCT.Practical implicationsThe model can be used in early stages of the construction process to help project managers in selecting an appropriate plan for whole project lifecycle.Social implicationsThe proposal model can be applied to multi-objective contexts in diversified fields. Moreover, the model is also a useful reference for future research.Originality/valueThis paper makes contributions to extant literature by: introducing a method for making TCT models applicable to actual projects by considering general activity precedence relations; developing a novel MOSGO algorithm to solving TCT problems in multi-objective context by a single simulation; and facilitating the TCT problems to project managers by using multi-criteria decision-making approaches.

scholarly journals A Dynamic Knowledge Model of Project Time-Cost Analysis Based on Trend Modelling

2019 ◽  
Vol 28 (1) ◽  
pp. 18-28
Author(s):  
Karel Doubravský ◽  
Radek Doskočil ◽  
Mirko Dohnal
Keyword(s):  
Project Management ◽  
Differential Equations ◽  
Cost Analysis ◽  
Trend Analysis ◽  
Linear Equations ◽  
Linear Differential Equations ◽  
Time Cost ◽  
Personnel Costs ◽  
Past Behavior ◽  
Linear Differential

This paper investigates the application of trend quantifiers of project time-cost analysis as a tool for decision-making support in the project management. Practical project management-related problems are solved under information shortages. It means that methods of statistical analysis cannot be easily used as they are based on the law of large numbers of observations. Numbers are information intensive quantifiers. The least information intensive quantifier is a trend; its values are increasing, constant, decreasing. If a derivative cannot be quantified by a trend, then nothing is known and therefore nothing can be analyzed/predicted. For this reason, the trend model M was created. The model M is based on a degraded set of differential equations or heuristics. A trend analysis of the model M is an evaluation of the relevant discrete set of solutions/scenarios S. A trend reconstruction is an evaluation of the model M if a (sub)set of scenarios S is given. The paper studies linear reconstruction, i.e. the model M is a set of linear differential equations. The trend reconstruction is partially reverse process to trend analysis. A case study has 7 variables (e.g. Project duration, Direct personnel costs, Indirect personal costs etc.) and the reconstructed set of linear differential equations has 7 equations. The set of 243 scenarios is obtained if this reconstructed set of trend linear equations is solved. Any future or past behavior of the model M can be described by a sequence of obtained scenarios.

scholarly journals Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
M. Ammar Alzarrad ◽  
Gary P. Moynihan ◽  
Muhammad T. Hatamleh ◽  
Siyuan Song
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Multicriteria Decision Making ◽  
Attractive Alternative ◽  
Time Cost ◽  
Analytic Hierarchy ◽  
Trade Off ◽  
Multicriteria Decision ◽  
Trade Offs ◽  
Cost Risk

As is often the case in project scheduling, when the project duration is shortened to decrease total cost, the total float is lost resulting in added critical or nearly critical activities. This, in turn, results in decreasing the probability of completing the project on time and increases the risk of schedule delays. To solve this problem, this research developed a fuzzy multicriteria decision-making (FMCDM) model. The objective of this model is to help project managers improve their decisions regarding time-cost-risk trade-offs (TCRTO) in construction projects. In this model, an optimization algorithm based on fuzzy logic and analytic hierarchy process (AHP) has been used to analyze the time-cost-risk trade-off alternatives and select the best one based on selected criteria. The algorithm was implemented in the MATLAB software and applied to two case studies to verify and validate the presented model. The presented FMCDM model could help produce a more reliable schedule and mitigate the risk of projects running overbudget or behind schedule. Further, this model is a powerful decision-making instrument to help managers reduce uncertainties and improve the accuracy of time-cost-risk trade-offs. The presented FMCDM model employed fuzzy linguistic terms, which provide decision-makers with the opportunity to give their judgments as intervals comparing to fixed value judgments. In conclusion, the presented FMCDM model has high robustness, and it is an attractive alternative to the traditional methods to solve the time-cost-risk trade-off problem in construction.

Sign in / Sign up

Export Citation Format

Share Document