scholarly journals Risk Determination, Prioritization, and Classifying in Construction Project Case Study: Gharb Tehran Commercial-Administrative Complex

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Azadeh Sohrabinejad ◽  
Mehdi Rahimi
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Fuzzy Topsis ◽  
Fuzzy Dematel ◽  
Multiple Risks ◽  
Proposed Model ◽  
Library Studies ◽  
Type Size ◽  
The Subject

Construction projects play an important role in infrastructure projects in developing countries. According to type, size, and complexity of the project, the number and importance of each risk could be different and many projects cannot reach the project goals due to exposure to multiple risks. Many papers have been published on the subject of risk management in construction projects; unfortunately most of them have not been implemented in practical conditions. The aim of this study is to identify and prioritize risks in construction projects. The classical approach used probability and impact for risk assessment, but these criteria do not sufficiently address all aspects of projects risks and there might be a relationship between different criteria. This study proposes the hierarchical dependencies between criteria. A case study of construction project is presented to illustrate performance and usage of the proposed model. Utilizing library studies and interview with experts, managers, and specialists, decision criteria were identified through brain storming. Risks were categorized by the experts into eleven risks. Important risks were evaluated based on the fuzzy ANP, fuzzy DEMATEL, and fuzzy TOPSIS methods. The proposed model is more suitable than the traditional decision-making methods in prioritizing risk concerning cost, time, and quality.

scholarly journals Identify and Prioritize Risks of Construction Projects Based on Fuzzy Logic (Case Study: Construction Project of Iranian Investment and Sustainable Development Company)

2016 ◽  
Vol 10 (12) ◽  
pp. 197
Author(s):  
Shima Ahmadi Aras ◽  
Zahra Amirhosseini
Keyword(s):  
Sustainable Development ◽  
Construction Projects ◽  
Reliability And Validity ◽  
Fuzzy Topsis ◽  
Descriptive Study ◽  
Analysis Process ◽  
Proposed Model ◽  
Risk Breakdown Structure ◽  
Internal Relationship

The purpose of the research was to identify and rank risks in construction projects of Iranians investment and Sustainable Development Company. This descriptive study based on purpose and on the basis of data collection is the survey. The study society consisted of 25 experts in construction projects. The data collected through a questionnaire which is then used to calculate the reliability and validity researcher.Thus, using literature review and interviews with experts, more than 100 risks were identified and were divided based on risk factors and risk breakdown structure, for weighting criteria, network analysis process which is used to obtain the internal relationship between the criteria of DIMATEL fuzzy method is used, then rankings risks were done using fuzzy TOPSIS algorithm. The results showed that, given the vague nature of the data in most projects, the proposed model is suitable for the real world.

scholarly journals Multi-dimensional optimization model for schedule fast-tracking without over-stressing construction workers

2019 ◽  
Vol 46 (12) ◽  
pp. 1160-1173 ◽  
Author(s):  
Zinab Abuwarda ◽  
Tarek Hegazy
Keyword(s):  
Construction Projects ◽  
Construction Workers ◽  
Superior Performance ◽  
Schedule Optimization ◽  
Fast Tracking ◽  
Schedule Compression ◽  
Complex Projects ◽  
Proposed Model ◽  
Technique Comparison

Fast-tracking is an important process to speed the delivery of construction projects. To support optimum fast-tracking decisions, this paper introduces a generic schedule optimization framework that integrates four schedule acceleration dimensions: linear activity crashing; discrete activity modes of execution; alternative network paths; and flexible activity overlapping. Because excessive schedule compression can lead to space congestion and overstressed workers, the optimization formulation uses specific variables and constraints to prevent simultaneous use of overlapping and crashing at the same activity segment. To handle complex projects with a variety of milestones, resource limits, and constraints, the framework has been implemented using the constraint programming (CP) technique. Comparison with a literature case study and further experimentation demonstrated the flexibility and superior performance of the proposed model. The novelty of the model stems from its integrated multi-dimensional formulation, its CP engine, and its ability to provide alternative fast-track schedules to strictly constrained projects without overstressing the construction workers.

Fuzzy Analytic Hierarchy in Project Risk Management - New Stadium Construction Project in Weifang City

2011 ◽  
Vol 243-249 ◽  
pp. 6362-6368
Author(s):  
Yan Zhang ◽  
Chang Jiang Liu
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Project ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Management Case Study

In the field of engineering and construction, unqualified construction quality, time delays, cost more than expected phenomena to occur. Because of these characteristics such as its large-scale construction projects, long cycle, the production of single and complex, there is greater risk than the production of general products, the risk increases the difficulty of construction project management, operating costs and the possibility of potential losses, therefore, risk management emerged and become an increasingly important integral part of project management. In this paper, fuzzy analytic hierarchy be used to construction project risk assessment, and to order the sort of each risk in order to prevent significant risks. On an actual project - the new stadium construction in Weifang City risk management case study, the reduction of risk of project failure is expected, but also the project is hoped for other industries to provide some reference for risk management.

scholarly journals Research on Engineering Project Management Method Based on BIM Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xingliang Du
Keyword(s):  
Project Management ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Project ◽  
Relevant Information ◽  
Economic Benefits ◽  
The Other ◽  
Engineering Project ◽  
Proposed Model ◽  
Whole Life Cycle

Construction projects require a significant amount of money and other resources in order to carry them out in an effective way. Cost control is a critical step in ensuring the success of the project and increasing its value. Nowadays, the large-scale application of BIM technology has ushered a technical change in the development of construction projects, which has greatly increased the level and efficiency of project management. Due to BIM technology, the construction engineering quality is significantly improved which really helped in obtaining the social and economic benefits. However, the BIM technology in our country is started relatively late and the technical force is not strong enough; then correspondingly, we must deal with many problems in the process of developing and using BIM technology based projects. In view of the fact and to address this issue, this paper establishes a three-dimensional architectural model based on the relevant information and data of the construction project using the BIM technology. The proposed model optimizes the clustering of construction project information data and adaptively configures the whole life cycle process of the construction projects. In addition, the performance of the proposed system has been compared and tested with the other systems as well which shows how good the proposed system is, as compared to the other systems. Further, the proposed model makes the artificial intelligence efficiency of the project management better. The simulation results show that the model not only has good access and query capabilities but also greatly improves the intelligence level of the project management.

scholarly journals A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents

2021 ◽  
Vol 23 (3) ◽  
pp. 443-453
Author(s):  
Maysa Alshraideh ◽  
Shereen Ababneh ◽  
Elif Elcin Gunay ◽  
Omar Al-Araidah
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Fuzzy Topsis ◽  
Final Decision ◽  
Proposed Model ◽  
Maintenance Outsourcing ◽  
Multiple Experts ◽  
Decision Making Model

The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost.

scholarly journals The Influence of Risk Management on Construction Project Performance: A Case Study.

2018 ◽  
pp. 936-942
Author(s):  
Mazurina Mohd Ali ◽  
Sakinah Zahra Norman ◽  
Erlane K. Ghani ◽  
Noor Hasniza Haron
Keyword(s):  
Risk Management ◽  
Construction Projects ◽  
Management Practices ◽  
Management Practice ◽  
Methodological Approach ◽  
Construction Project ◽  
Project Performance ◽  
Time Cost ◽  
Schedule Delay

Risk Management is recognized as an important exercise that creates value to a project and improves project performance. Time, cost and quality are the primary measures of a project performance in this industry. The success or failure in any construction project can be monitored through the attainment of these primary measures. Notably, Malaysian construction industry is considered as one of the important industries that positively contribute to the increase of Gross Domestic Product and subsequently the growth of the country’s economic development. Unfortunately, this industry suffers poor performance in which it leads to failure in accomplishing effective time, cost and quality performance. Most construction projects face a schedule delay, cost overrun and are poor in product quality. Thus, the aim of this study is to determine the influence of risk management on construction project performance of Malaysian companies based on these three primary measures. The degree of diffusion of risk management practice in the chosen construction project in Malaysia is also examined. The methodological approach exploited in this study is a case study approach involving analysis of documented data and face-to-face interviews with key players that hold different roles and responsibilities. They include a director, project managers, finance managers, contract managers and quantity surveyor managers. The results demonstrate that adopting effective risk management practices positively impacts project performance thus leading to project success. Nevertheless, the lack of knowledge and poor communication of risk management practices in construction projects contribute to the weak implementation of an effective and systematic risk management practices in Malaysia.

scholarly journals BUILDING INFORMATION MODELLING AND PROJECT INFORMATION MANAGEMENT FRAMEWORK FOR CONSTRUCTION PROJECTS

2019 ◽  
Vol 25 (1) ◽  
pp. 53-75 ◽  
Author(s):  
Timothy O. Olawumi ◽  
Daniel W. M. Chan
Keyword(s):  
Information Management ◽  
Construction Projects ◽  
Construction Project ◽  
Assessment Model ◽  
Project Staff ◽  
Management Framework ◽  
Construction Firms ◽  
Building Information ◽  
Key Indicators

The study aims to develop an effective BIM-project information management framework (BIM-PIMF) and associated assessment model for construction projects with a view to enhancing the functional management of project information. An explanatory case study technique and case study evidence from four BIM construction projects form the study’s research design. The study identified and established the three sub-criteria of the BIM-PIMF model which are the BIM process level factors, BIM product level factors, and the key indicators for a successful BIM deployment on construction project sites. These criterias were semantically linked to the development of the BIM-PIMF framework on a five-point metric scale. The deliverables of this study include the development of the BIM-PIMF framework, together with its analytical scoring system. The findings of the study will improve the information channels of and ease the integration of technological innovations in construction processes while improving the technical competencies of project staff. The study highlighted a basket of effective recommendations and strategies to enhance the deployment of BIM throughout a project lifecycle. Policymakers and government departments can utilize the model in assessing the level of usage of BIM in a construction project as one of the useful measures in gauging which construction firms to be provided subsidies.

scholarly journals A Practical Method for Assessing the Energy Consumption & CO2 Emissions of Mass Haulers

2016 ◽  
Author(s):  
Hassanean Jassim ◽  
Weizhuo Lu ◽  
Thomas Olofsson
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Performance ◽  
Construction Projects ◽  
Practical Method ◽  
Project Planning ◽  
Planning Program ◽  
Detailed Model ◽  
Proposed Model

Mass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during project planning are lacking. This paper presents a detailed model for estimating the energy consumption and CO2 emissions of mass haulers that integrates the mass hauling plan with a set of predictive equations. The mass hauling plan is generated using a planning program such as DynaRoad in conjunction with data on the productivity of selected haulers and the amount of material to be hauled during cutting, filling, borrowing, and disposal operations. This plan is then used as input for estimating the energy consumption and CO2 emissions of the selected hauling fleet. The proposed model will help planners to assess the energy and environmental performance of mass hauling plans, and to select hauler and fleet configurations that will minimize these quantities. The model was applied in a case study, demonstrating that it can reliably predict energy consumption, CO2 emissions, and hauler productivity as functions of the hauling distance for individual haulers and entire hauling fleets.

A novel model for risk management of outsourced construction projects using decision-making methods: a case study

2020 ◽  
Vol 10 (2) ◽  
pp. 97-123 ◽  
Author(s):  
Amin Mahmoudi ◽  
Mehdi Abbasi ◽  
Xiaopeng Deng ◽  
Muhammad Ikram ◽  
Salman Yeganeh
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Project Managers ◽  
Analytic Hierarchy ◽  
Suitable Alternative ◽  
Content Type ◽  
Proposed Model ◽  
The Cost ◽  
First Time

PurposeSelecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.Design/methodology/approachTo employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.FindingsAccording to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.Originality/valueTo the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.

scholarly journals Spanning the multilevel boundaries of construction organisations

2017 ◽  
Vol 17 (3) ◽  
pp. 273-293 ◽  
Author(s):  
Enoch Sackey ◽  
Julius Akotia
Keyword(s):  
Best Practices ◽  
Construction Projects ◽  
Construction Project ◽  
Case Study Research ◽  
Boundary Spanning ◽  
Content Type ◽  
Execution Plan ◽  
Contractual Agreements ◽  
Project Level

Purpose The purpose of this paper is to study the interdependent boundary-spanning activities that characterise the level of permeability of knowledge, information flow and learning among construction supply chains involved in the delivery of building information modelling (BIM)-compliant construction projects. Construction projects are mobilised through a number of interdependent processes and multi-functional activities by different practitioners with myriad specialised skills. Many of the difficulties that manifest in construction projects can be attributed to the fragmented work activities and inter-disciplinary nature of project teams. This is nevertheless becoming ever more pertinent with the rise of technology deployment in construction organisations. Design/methodology/approach The study combined experts’ sampling interviews and a case study research method to help offer better insights into the kind of emerging multilevel boundary practices as influenced by the rapidly evolving construction technological solutions. The experts’ sampling helped inform better understanding by unravelling the key changes in contemporary boundary configurations and related boundary-spanning practices within technology-mediated construction project settings. The case study also helped to establish the manifestation of best practices for managing multilevel boundaries in BIM-enabled construction project organisations. Findings The study has revealed that different generic organisational BIM strategies as developed in specialised boundaries are reconfigured as appropriate at the project level to produce project-specific BIM execution plan (BXP). The outcome of project BXP is dependent on the project organisational teams that cooperate in creating new solutions and on conceding space for negotiations and compromises which conflicting interests at the project level can find to be both desirable and feasible. The implementation effort is therefore contingent on mutual translation in which different actors with different insights instigate their practice through negotiation and persuasion which eventually are reinforced by contractual agreements and obligations. Originality/value The paper has presented a novel and well-timed empirical insight into BIM-enabled project delivery and best practices that span multilevel boundaries of construction organisations.

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