scholarly journals A Conceptual Model for a Safety-Based Theory of Lean Construction

Buildings ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 23 ◽  
Author(s):  
Soheila Moaveni ◽  
Seyed Banihashemi ◽  
Mohammad Mojtahedi
Keyword(s):  
Conceptual Model ◽  
Construction Projects ◽  
Project Managers ◽  
Lean Construction ◽  
Project Delivery ◽  
New Approach ◽  
Factors Affecting ◽  
Work Related ◽  
Proposed Model ◽  
Optimal Value

The construction industry is one of the most fatal industries, so it is important to pay more attention to safety solutions. Even though work-related accidents are known as a major waste in construction projects, little attention has been paid so far to incorporating safety into the lean construction framework. In this research, lean construction theory is reviewed through the lens of safety. That being so, the identified challenges in previous research on improving safety in construction projects are categorized, and those related to the concept of lean project delivery are introduced. Then, the principles of the lean construction framework are explained, and the relevant changes for incorporating safety into the framework are introduced and discussed. The proposed model includes a new approach to the Transformation-Flow-Value framework, in order to pay particular attention to safety in construction projects as one of the factors affecting the success of projects, and achieving optimal value for stakeholders. It is expected that this hybrid model would further enrich the lean construction framework. The careful attention of project executives to this model may improve the safety situation in construction projects. The conceptual model presented in this study can be used in the decision making process for project managers as well as research into optimization of safety costs, and eliminating waste (including models for optimizing the movement of machinery, controlling and reducing rework, and designing the site layout).

scholarly journals A Conceptual Model for Safety-Based Theory of Lean Construction

2018 ◽  
Author(s):  
Soheila Moaveni ◽  
Seyed Y. Banihashemi ◽  
Mohammad Mojtahedi
Keyword(s):  
Conceptual Model ◽  
Construction Industry ◽  
Hybrid Model ◽  
Construction Projects ◽  
Lean Construction ◽  
Project Delivery ◽  
Careful Attention ◽  
Work Related

The construction industry is one of the most fatal industries, so it is important to pay more attention to safety solutions. Even though work-related accidents are known as major waste in construction projects, little attention has been paid so far to incorporating safety into the lean construction framework. In this research, lean construction theory is reviewed through the lens of safety. That being so, the identified challenges in previous research on improving safety in construction projects are categorized and those related to the concept of lean project delivery are introduced. Then, the principles of the lean construction framework are explained and the relevant changes for incorporating safety into the framework are introduced and discussed. It is expected that this hybrid model would further enrich the lean construction framework. The careful attention of project executives to this model may improve the safety situation in construction projects.

Factors affecting the delivery of optimum health and safety on construction projects during the covid-19 pandemic in Zimbabwe

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benviolent Chigara ◽  
Tirivavi Moyo
Keyword(s):  
Factor Analysis ◽  
Construction Projects ◽  
Health And Safety ◽  
Project Managers ◽  
Small Sample ◽  
Related Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Related Risk ◽  
Monitoring And Enforcement

Purpose The purpose of this study was to investigate the perceptions of construction professionals relative to factors that affect the delivery of optimum health and safety (H&S) on construction projects during the COVID-19 pandemic. Design/methodology/approach The study adopted a quantitative design which entailed the distribution of a web-based questionnaire among construction professionals, namely, architects, construction/project managers, engineers, H&S managers and quantity surveyors working for contractors and construction consultants in Zimbabwe. The data were analysed with descriptive and inferential statistics. Factor analysis was used to reveal interrelated significant sets of factors affecting the delivery of optimum H&S. Findings Factor analysis revealed nine components/factors: change and innovation-related, monitoring and enforcement-related, production-related, access to information and health service-related, on-site facilities and welfare-related, risk assessment and mitigation-related, job security and funding-related, cost-related and COVID-19 risk perception-related factors as the significant factors affecting the delivery of optimum H&S during the COVID-19 pandemic in Zimbabwe. Research limitations/implications The results highlighted the need for social dialogue among construction stakeholders to support initiatives that will enhance the delivery of H&S on construction projects. Construction stakeholders may find the results useful in highlighting the areas that need improvement to protect workers’ H&S during the pandemic. However, the small sample limits the generalisability of the results to construction sectors in other regions. Originality/value The study investigated factors affecting the delivery of optimum H&S during the COVID-19 to inform interventions to enhance H&S.

An Investigation into the Risk of Construction Projects Delays in the UAE

2014 ◽  
pp. 962-977
Author(s):  
Omayma Motaleb ◽  
Mohammed Kishk
Keyword(s):  
United Arab Emirates ◽  
Construction Projects ◽  
Success Factors ◽  
Project Managers ◽  
Project Delivery ◽  
Extensive Literature ◽  
Construction Companies ◽  
High Concern ◽  
Potential Factors ◽  
Major Criticism

The growing rate of delays in project delivery is considered a major criticism of the construction companies in the United Arab Emirates (UAE). This paper aims to investigate the causes and effects behind the delays pertaining to delivery of construction projects in the UAE. The study is exploratory in nature, and incorporates a pilot questionnaire survey and interviews. An extensive literature review indicates potential factors that have possible effects on construction completion delay. The questionnaire forms were sent to 50 construction companies. Thirty-five (70%) completed responses were received. Analysis of the survey data has revealed that about 42 potential causes and effects of delay relate to various groups of stakeholders. The results show the top fifteen factors relate to clients, project managers and finance aspects. It was found that cost and time overruns are the most significant effects. These results are in partial agreement with previous studies. The paper argues that the key determinant in ensuring project control is on-time project delivery. The results of the study can provide moderate support for a suggested hypothesis, through a framework of project success factors. It should be of high concern to knowledge managers in various roles and decision-makers.

Cost Performance Estimation in Construction Projects Using Fuzzy Time Series

2015 ◽  
Vol 6 (1) ◽  
pp. 66-75 ◽  
Author(s):  
Mostafa Salari ◽  
Nooshin Yousefi ◽  
Mohhmad Mahdi Asgary
Keyword(s):  
Time Series ◽  
Construction Projects ◽  
Project Managers ◽  
Performance Estimation ◽  
Fuzzy Time Series ◽  
Linguistic Terms ◽  
Cost Performance ◽  
Times Series ◽  
Future Performance ◽  
Proposed Model

In this paper, the authors develop a model to estimate future performance of construction projects. For the purpose of estimation, fuzzy times series models are used as an effective approach in estimation process. Furthermore, linguistic terms are applied to interpret the fuzzy-based results. The proposed model can assists project managers to develop their knowledge concerning the future aspects of project cost performance. It also provides the early warning of weak upcoming performance of project and extends the feasible time for corrective actions. Eventually, a small example has been provided to illustrate how the new model can be implemented in reality.

Overall multiobjective optimization of construction projects scheduling using particle swarm

2016 ◽  
Vol 23 (3) ◽  
pp. 265-282 ◽  
Author(s):  
Emad Elbeltagi ◽  
Mohammed Ammar ◽  
Haytham Sanad ◽  
Moustafa Kassab
Keyword(s):  
Cash Flow ◽  
Construction Projects ◽  
Real Life ◽  
Particle Swarm ◽  
Project Managers ◽  
Time Cost ◽  
Swarm Optimization ◽  
Content Type ◽  
Proposed Model ◽  
Optimized Schedule

Purpose – Developing an optimized project schedule that considers all decision criteria represents a challenge for project managers. The purpose of this paper is to provide a multi-objectives overall optimization model for project scheduling considering time, cost, resources, and cash flow. This development aims to overcome the limitations of optimizing each objective at once resulting of non-overall optimized schedule. Design/methodology/approach – In this paper, a multi-objectives overall optimization model for project scheduling is developed using particle swarm optimization with a new evolutionary strategy based on the compromise solution of the Pareto-front. This model optimizes the most important decisions that affect a given project including: time, cost, resources, and cash flow. The study assumes each activity has different execution methods accompanied by different time, cost, cost distribution pattern, and multiple resource utilization schemes. Findings – Applying the developed model to schedule a real-life case study project proves that the proposed model is valid in modeling real-life construction projects and gives important results for schedulers and project managers. The proposed model is expected to help construction managers and decision makers in successfully completing the project on time and reduced budget by utilizing the available information and resources. Originality/value – The paper presented a novel model that has four main characteristics: it produces an optimized schedule considering time, cost, resources, and cash flow simultaneously; it incorporates a powerful particle swarm optimization technique to search for the optimum schedule; it applies multi-objectives optimization rather than single-objective and it uses a unique Pareto-compromise solution to drive the fitness calculations of the evolutionary process.

GENETIC ALGORITHM OPTIMIZATION OF MULTIPLE RESOURCES FOR MULTI-PROJECTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Sarah Fotouh ◽  
A. Samer Ezeldin
Keyword(s):  
Genetic Algorithm ◽  
Construction Projects ◽  
Project Managers ◽  
Algorithm Optimization ◽  
Multiple Resources ◽  
Proposed Model ◽  
The Cost ◽  
User Friendly ◽  
Critical Resources ◽  
Available Resources

Optimization of resources is very important in all construction projects. Project managers have to face problems regarding management of cost, time and available resources for single projects. This is more challenging when managing multiple projects. Most of the recent studies focused on optimization of resources for a single project, or a single resource. This paper presents a numerical model of multiple resources optimization for multiple projects using Genetic Algorithm. Most of the companies in the construction industry optimize the resources for single projects only. However, with the presence of several mega projects in several developing countries running at the same time, there is a need for a model to enhance the efficiency of available resources, and decreases the fluctuation as much as possible and try to maximize the use of the available pool of resources. The proposed model is user friendly, and it can optimize up to nine resources in three different projects running at the same time. The model is used on the identified critical resources. It calculates the cost of each resource, minimize the cost of extra resources as much as possible and generate the schedule of each project within a selected overall program.

scholarly journals Employment of Unskilled Craft Workers in the UAE Construction Projects: Explicating the Reasons

2019 ◽  
Vol 8 (10S) ◽  
pp. 410-414
Keyword(s):  
Construction Industry ◽  
United Arab Emirates ◽  
Construction Projects ◽  
Project Performance ◽  
Project Managers ◽  
Project Delivery ◽  
Undesirable Outputs ◽  
Management Level ◽  
Delivery Performance ◽  
Depth Interview

The United Arab Emirates construction industry is beset with negative project performance outputs, such as defects, low productivity, delay in completion, and higher costs. Most critical among the recorded reasons for having these undesirable outputs is the engagement of unskilled craft workers. However, the demand for construction projects in the UAE is continually increasing, especially after Dubai won hosting of Expo 2020, as this consequently translates to increased demand for skilled construction craft workers, if optimal project delivery performance must be achieved. Therefore, subject matters related to skillfulness and productivity of construction craft workers become research windows for academic scholars and industry investigators in the UAE built environment. The main purpose of this study is to explicate the reasons behind employment of unskilled craft workers in the construction projects from the management level perspective. To meet this purpose, the authors conducted in-depth interview with construction project managers. The results show number of reasons why unskilled craft workers are been hired and the effect of specialized certificates on hiring the craft workers

Project Management and Scheduling through National Project Management Phases in Government Construction Agencies

2017 ◽  
Vol 8 (1) ◽  
pp. 1-16
Author(s):  
Jesper Kranker Larsen ◽  
Thomas Ditlev Brunoe ◽  
Søren Munch Lindhard ◽  
Kim Noergaard Jensen
Keyword(s):  
Project Management ◽  
Construction Projects ◽  
Project Managers ◽  
Research Approach ◽  
Structured Interviews ◽  
Study Objective ◽  
Factors Affecting ◽  
Project Phases ◽  
Project Management And Scheduling ◽  
Project Coordination

Effective project coordination and management of time and cost scheduling in public funded construction projects receive a considerable focus from academics, politicians, and the construction industry itself with opposing points of view. The study objective is therefore to investigate the process of time and cost scheduling during the different project stages, and their relationships between critical factors affecting project schedules. Applied data collection was based on semi-structured interviews and a questionnaire survey with publicly agency employed project managers and property managers. A multiple research approach was thus utilized to mix the two dataset. Findings demonstrate that project complications in the execution stage is associated to lack of project requirements and design with too optimistic project deadline and budget from the initial project stages. Moreover, a relationship was found between the presence of experienced consultants and the achievement of project success throughout the project phases as particular vital.

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.

Factors Affecting the Citizens’ Trust in E-Government

2012 ◽  
pp. 1611-1630
Author(s):  
Hisham M. Alsaghier ◽  
Marilyn Ford ◽  
Anne Nguyen ◽  
Rene Hexel
Keyword(s):  
Literature Review ◽  
Conceptual Model ◽  
Q Methodology ◽  
Personal Information ◽  
Vital Role ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Perceived Risks ◽  
Proposed Model ◽  
Statistical Results

In e-government context, trust plays a vital role in helping citizens overcome perceived risks. Trust makes citizens comfortable sharing personal information, make online government transaction, and acting on e-Government advices. Thus, trust is a significant notion that should be critically investigated to help both researchers and practitioners to understand citizens’ acceptance to e-Government. Prior research in trust has focused mainly on consumer’s trust in e-Commerce. Most of existing literatures on trust in e-government focus on technical perspective such as PKI. This paper contributes by proposing a conceptual model of citizens’ trust in e-Government. The proposed conceptual model of citizens’ trust in e-government is integrated constructs from multiple disciplines: psychology, sociology, e-commerce, and HCI. The research is aimed also to develop items in order to measure the theoretical constructs in the proposed model. The pool of items is generated based on literature review. Q-Methodology has been utilised to validate the generated measurement items. The outcome of two Q-sorting rounds resulted in developing a survey instrument for proposed model with an excellent validity and reliability statistical results.

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