scholarly journals Trading off Time–Cost–Quality in Construction Project Scheduling Problems with Fuzzy SWARA–TOPSIS Approach

Buildings ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 387
Author(s):  
Sayyid Ali Banihashemi ◽  
Mohammad Khalilzadeh ◽  
Jurgita Antucheviciene ◽  
Jonas Šaparauskas
Keyword(s):  
Decision Making ◽  
Project Scheduling ◽  
Construction Projects ◽  
Construction Project ◽  
Solution Technique ◽  
Time Cost ◽  
Trade Off ◽  
Project Activity ◽  
Project Objectives ◽  
Construction Project Scheduling

The increasing number of construction projects together with the limited resources of organizations led to tough competition for achieving project goals. Time, cost, and quality have been known as the project iron triangle. Project managers attempt to allocate the appropriate resources and make the best decisions for accomplishing projects with the shortest durations, lowest costs, and the highest quality. No study has examined the time–cost–quality trade-off problem with decision-making approaches. In this study, the fuzzy multi-criteria decision-making (MCDM) methods are exploited to choose the best mode for performing each activity. For this purpose, the SWARA method is applied to determine the importance weights of time, cost, and quality. In addition, the TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution) technique is used to rank and select the best activity execution modes. The proposed model is implemented on two medium- and large-size construction projects to evaluate its efficiency. Several execution modes with fuzzy duration, cost, and quality are considered for each project activity. Finally, sensitivity analysis is conducted taking three different conditions into account: the shortest duration of the execution modes, the lowest cost of the execution modes, and the highest quality of execution modes for each activity. The solution of each trade-off is compared with the solution obtained from the fuzzy SWARA–TOPSIS method. The schedule is developed according to the best execution mode for each project activity. The obtained results in two different construction projects show significant improvements in the overall project objectives so that the projects can be completed in fewer durations and costs along with higher quality. Because of the higher importance of cost, the cost of each activity is closer to the lowest cost. The activity duration is also closer to the most likely duration, and quality is closer to the high-quality level. The application of this approach can create new opportunities for research and knowledge development in the field of construction project scheduling.

scholarly journals Investigating the Environmental Impacts of Construction Projects in Time-Cost Trade-Off Project Scheduling Problems with CoCoSo Multi-Criteria Decision-Making Method

2021 ◽  
Vol 13 (19) ◽  
pp. 10922
Author(s):  
Sayyid Ali Banihashemi ◽  
Mohammad Khalilzadeh ◽  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antucheviciene
Keyword(s):  
Decision Making ◽  
Environmental Impacts ◽  
Environmental Effects ◽  
Project Scheduling ◽  
Construction Projects ◽  
Multi Criteria Decision Making ◽  
Time Cost ◽  
Scheduling Problems ◽  
Trade Off ◽  
Project Activity

Currently, construction projects have a significant share in environmental pollution. Usually, the employers and managers of construction projects pay attention to the project implementation with the shortest duration and the lowest cost, whereas less attention is paid to the environmental effects of the implementation of projects. Sustainable development requires the planning and implementation of construction projects, taking environmental impacts, along with other factors, into account. Few studies have investigated the balancing time, cost, and environmental effects. Although the selection of an execution method for the project activity requires the use of decision-making methods, these methods have not been used in the project scheduling problems. This study seeks to simultaneously minimize the project time, cost, and environmental impacts. The purpose of this study is to evaluate the environmental impact of project activities in three physical, biological, and social aspects throughout the construction projects, and to attempt to minimize them as measurable values. In this paper, the environmental effects of an urban water supply construction project as a real case study are assessed in different activity execution modes by the Leopold matrix and the best execution mode of each project activity is selected using the CoCoSo (combined compromise solution) multi-criteria decision-making method, considering the time–cost-environmental impact trade-off. The CoCoSo method is employed because of its high flexibility compared to other multi-criteria decision-making methods. The results of this study will direct managers and stakeholders of construction projects to pay more attention to the environmental effects of construction project activities, together with the other conventional project goals and objectives, such as the time and cost.

Time–cost–quality trade-off analysis for planning construction projects

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tianqi Wang ◽  
Moatassem Abdallah ◽  
Caroline Clevenger ◽  
Shahryar Monghasemi
Keyword(s):  
Optimization Model ◽  
Construction Projects ◽  
Present Model ◽  
Construction Project ◽  
Time Cost ◽  
Trade Off ◽  
Content Type ◽  
Project Duration ◽  
Trade Offs ◽  
Project Objectives

Purpose Achieving project objectives in constructionprojects such as time, cost and quality is a challenging task. Minimizing project cost often results in additional project duration and might jeopardize quality, and minimizing project duration often results in additional cost and might jeopardize quality. Also, increasing construction quality often results in additional cost and time. The purpose of this paper is to identify and analyze trade-offs among the project objectives of time, cost and quality. Design/methodology/approach The optimization model adopted a quantitative research method and is developed in two main steps formulation step that focuses on identifying model decision variables and formulating objective functions, and implementation step that executes the model computations using multi-objective optimization of Non-Dominated Sorting Genetic Algorithms to identify the aforementioned trade-offs, and codes the model using python. The model performance is verified and tested using a case study of construction project consisting of 20 activities. Findings The model was able to show practical and needed value for construction managers by identifying various trade-off solutions between the project objectives of time, cost and quality. For example, the model was able to identify the shortest project duration at 84 days while keeping cost under $440,000 and quality higher than 85 percent. However, with an additional budget of $20,000 (4.5 percent increase), the quality can be increased to 0.935 (8.5 percent improvement). Research limitations/implications The present research work is limited to project objectives of time, cost and quality. Future expansion of the model will focus on additional project objectives such as safety and sustainability. Furthermore, new optimization models can be developed for construction projects with repetitive nature such as roads, tunnels and high rise buildings. Practical implications The present model advances existing research in planning construction projects efficiently and achieving important project objectives. On the practical side, the optimization model will support the construction industry by allowing construction managers to identify the highest quality to deliver a construction project within specified budget and duration, lowest cost for specified duration and quality or shortest duration for specified budget and quality. Originality/value The present model introduces new and innovative method of increasing working hours per day and number of working days per shift while analyzing labor working efficiency and overtime rate to identify optimal trade-offs among important project objectives of time, cost and quality.

scholarly journals Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021 ◽  
Vol 11 (12) ◽  
pp. 5531
Author(s):  
Linlin Xie ◽  
Yajiao Chen ◽  
Ruidong Chang
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Resource Constraints ◽  
Construction Project ◽  
Engineering Application ◽  
Project Schedule ◽  
Scheduling Optimization ◽  
Implementation Method ◽  
Traditional Construction ◽  
Construction Project Scheduling

Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.

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.

Three Dimensional Time, Cost and Quality Tradeoff Optimization in Project Decision Making

2012 ◽  
Vol 433-440 ◽  
pp. 5746-5752 ◽  
Author(s):  
Hadi Mokhtari ◽  
Ali Salmasnia ◽  
Mahdi Bastan
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Solution Method ◽  
Computational Study ◽  
Three Dimensional ◽  
Time Cost ◽  
Suggested Model ◽  
Trade Off ◽  
Robust Solution ◽  
Overall Performance

Time, cost and quality are crucial aspects of each project and tradeoff among them is important for improvement of the overall performance of industrial and construction projects. In this paper we suggest that the quality is added into the traditional time-cost trade-off problem (TCTP) and develop a three dimensional time, cost and quality trade-off problem (TCQTP) with some realistic assumptions. To the best of our knowledge this problem has not been extensively treated in literature yet. In order to deal with the suggested stochastic TCQTP, a statistical robust solution method is adapted in which not only the correlations among objectives are considered but also the variance of objectives is minimized. A computational study on an illustrative example is done and the results support the applicability and reliability of the suggested model.

A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects

2015 ◽  
Vol 42 (6) ◽  
pp. 3089-3104 ◽  
Author(s):  
Shahryar Monghasemi ◽  
Mohammad Reza Nikoo ◽  
Mohammad Ali Khaksar Fasaee ◽  
Jan Adamowski
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Multi Criteria Decision Making ◽  
Time Cost ◽  
Trade Off ◽  
Decision Making Model

scholarly journals MULTI-OBJECTIVE SYMBIOTIC ORGANISMS OPTIMIZATION FOR MAKING TIME-COST TRADEOFFS IN REPETITIVE PROJECT SCHEDULING PROBLEM

2019 ◽  
Vol 25 (4) ◽  
pp. 322-339 ◽  
Author(s):  
Duc-Hoc Tran ◽  
Jui-Sheng Chou ◽  
Duc-Long Luong
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Time Cost ◽  
Symbiotic Organisms Search ◽  
Trade Off ◽  
Fundamental Limitations ◽  
Precedence Diagramming Method ◽  
Scheduling Method ◽  
The Cost ◽  
Symbiotic Organisms

Time-cost problems that arise in repetitive construction projects are commonly encountered in project scheduling. Numerous time-cost trade-off approaches, such as mathematical, metaheuristic, and evolutionary methods, have been extensively studied in the construction community. Currently, the scheduling of a repetitive project is conducted using the traditional precedence diagramming method (PDM), which has two fundamental limitations: (1) progress is assumed to be linear from start to finish; and (2) activities in the schedule are connected each other only at the end points. This paper proposes a scheduling method that allows the use of continuous precedence relationships and piece-wise linear and nonlinear activity-time-production functions that are described by the use of singularity functions. This work further develops an adaptive multiple objective symbiotic organisms search (AMOSOS) algorithm that modifies benefit factors in the basic SOS to balance exploration and exploitation processes. Two case studies of its application are analyzed to validate the scheduling method, as well as to demonstrate the capabilities of AMOSOS in generating solutions that optimally trade-off minimizing project time with minimizing the cost of non-unit repetitive projects. The results thus obtained indicate that the proposed model is feasible and effective relative to the basic SOS algorithm and other state-of-the-art algorithms.

scholarly journals Problem minimalizacji przestojów w pracy brygad generalnego wykonawcy w harmonogramowaniu przedsięwzięć budowlanych

2017 ◽  
Vol 26 (2) ◽  
pp. 193-201 ◽  
Author(s):  
Piotr Jaśkowski ◽  
Michał Tomczak
Keyword(s):  
Mathematical Model ◽  
Project Scheduling ◽  
Construction Projects ◽  
Construction Project ◽  
Time Constraints ◽  
Production Capability ◽  
General Contractor ◽  
High Level ◽  
The Mathematical Model ◽  
Construction Project Scheduling

During executing of construction projects enterprises seek for high level of coordinating engaged resources. This seeking evinces in providing continuity and levelling production. It enables making of entire production capability. This paper analyses scheduling work of general contractor crews, which carry out unrhytmic, noncyclic and inhomogeneous processes in deterministic conditions. The mathematical model of work gaps for general contractor crews in construction project scheduling is formulated. This model also counts crews availability limits, cost and time constraints and possibility of tasks outsourcing for subcontractors.

Mengurangi Durasi Pelaksanaan Proyek Dengan Menggunakan Metode Time Cost Trade Off

2021 ◽  
Vol 4 (2) ◽  
pp. 13
Author(s):  
Muhammad Rizal Hermawan ◽  
Ahmad Ridwan ◽  
Suwarno Suwarno
Keyword(s):  
Construction Projects ◽  
Method Development ◽  
Construction Project ◽  
Weather Conditions ◽  
Time Cost ◽  
Trade Off ◽  
Critical Pathways ◽  
Normal Duration ◽  
The Cost

Construction project management is one of the things that affect the smooth work of construction projects. Time and cost become benchmarks in the success of a project. In the construction project Bhayangkara Nganjuk hospital indicated experiencing delays caused by unse endorsive weather conditions. The delay will have an impact on the costs that will be incurred. The purpose of this research is to accelerate the time on the project by using the time cost trade off method. Development work includes IGD room work, Pharmaceutical Installation, Laboratory and Inpatiation Room. The data used in the form of Time schedule and budget plan costs obtained from the implementing contractor. From the data, analysis is carried out in the form of determination of relationships between jobs, determination of critical pathways, and acceleration analysis by applying a work shift system. The relationship between jobs is illustrated through the Microsoft Project. The results of the study obtained a total cost after acceleration of Rp. 3,873,505,632.00 the value was more expensive 11.25% than the normal cost of the project of Rp 3,481,698,000.00. With an accelerated duration of 125 days or 25.71% faster than the normal duration of the project of 180 days. So that from these results, it can be used as a reference in the implementation of the project regarding work hours that can be applied as well as the cost of the project and the duration of acceleration required.

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