scholarly journals SCHEDULING CONSTRUCTION PROJECTS WITH RESOURCES ACCESSIBILITY LIMITED AND CHANGEABLE IN TIME

2004 ◽  
Vol 10 (4) ◽  
pp. 267-276 ◽  
Author(s):  
Piotr Jaśkowski ◽  
Anna Sobotka

This paper aims at solving the problem of minimising the construction project duration in deterministic conditions when the accessibility of renewable resources is limited and changeable in time (workforce, machines and equipment). Particular construction processes (with various levels of complexity) must be conducted in the established technological order and can be executed in different technological and organisational variants (different contractors, technologies, and ways of using resources). To solve this problem the authors are using evolutionary algorithm. For the assessment of solutions generated by evolutionary algorithm, the authors have worked out a heuristic algorithm (of resources allocation and project duration calculation). This methodology seems to produce similar outcomes when juxtaposed with other solutions obtained by research works carried out using comparable methodologies. The paper contains an example of practical application of evolutionary algorithm for construction project planning within resources and time constraints.

2017 ◽  
Vol 63 (1) ◽  
pp. 3-15 ◽  
Author(s):  
S. Biruk ◽  
P. Jaśkowski

AbstractProduction rates for various activities and overall construction project duration are significantly influenced by crew formation. Crews are composed of available renewable resources. Construction companies tend to reduce the number of permanent employees, which reduces fixed costs, but at the same time limits production capacity. Therefore, construction project planning must be carried out by means of scheduling methods which allow for resource constrains. Authors create a mathematical model for optimized scheduling of linear construction projects with consideration of resources and work continuity constraints. Proposed approach enables user to select optimal crew formation under limited resource supply. This minimizes project duration and improves renewable resource utilization in construction linear projects. This paper presents mixed integer linear programming to model this problem and uses a case study to illustrate it.


2021 ◽  
Vol 236 ◽  
pp. 03002
Author(s):  
Yingying Wu

The Environmental Impact Assessment system, referred to as the EIA system, is to evaluate the impact of the implementation of the plan or the construction and operation of the project on the environment, combine the surrounding environmental quality status, propose ecological or environmental protection measures,then evaluate the effectiveness of the measures, and draw a conclusion on the feasibility of the project(planning) in terms of environmental protection.This article summarizes the role and progress in environmental protection in the two aspects of planning and construction projects in recent years.Comprehensively selected cases found that both planning or construction project environmental assessment have played an important role in predicting the possible impact of planning or construction projects on the environment and ecology, and proposed feasible and effective environmental protection measures.After the planning or construction project adopts the conclusions and suggestions, as long as the "Three Simultaneous" regulations are followed, the impact of the planning or construction project on the environment or ecology can be prevented or effectively reduced. When it is necessary to conduct postevaluation of environmental impact, verify the actual conditions of the construction project, such as emissions and actual production processes.


2019 ◽  
Vol 9 (1) ◽  
pp. 282-291 ◽  
Author(s):  
Michał Tomczak

AbstractOne of the key problems in managing the realization of a construction project is the selection of appropriate working crews and coordinating their activities in a way that ensures the highest degree of implementation of defined goals (minimizing the project duration and/or reducing downtime and related costs). Most of the existing methods of work harmonization used in construction industry allow obtaining the desired results only in relation to the organization of the processes realization in repetitive linear projects. In case of realization of non-linear construction objects or construction units, it is usually necessary to choose between the reduction of the project implementation time and maintaining the continuity of crews work on the units. It was found that there is a lack in the literature of developed method enabling harmonization of crews’ work, while minimizing the downtime at work and the duration of the entire project taking into account additional constraints, e.g. the need to not exceed the deadlines for the realization of the project stages.The article presents the concept of a multi-criteria optimization method of harmonizing the execution of non-linear processes of a multi-unit construction project in deterministic conditions. It will enable the reduction of realization time and downtimes in work, taking into account the preferences of the decision maker regarding the relevance of the optimization criteria. A mathematical model for optimizing the selection of crews and order of completion of units in multi-unit construction projects was also developed. In order to present the possibility of usage of the developed concept, an example of the optimal selection of crews and their work schedule was solved and presented. The proposed method may allow for better use of the existing production potential of construction enterprises and ensure synchronization of the crews employed during the work, especially in the case of difficulties in acquiring qualified staff in construction industry.


2020 ◽  
Vol 6 (4) ◽  
pp. 1365-1375
Author(s):  
Shahid Iqbal ◽  
Nabeel Ehtisham ◽  
Syed Farqaleet K. Bukhari ◽  
Shahid Mahmood

Project Risk management is known as an important workout for the achievement of desired objectives for the construction projects. Success in construction project is quantified by attaining its enactment in terms of project quality, project cost, project time, project safety. Construction projects in Pakistan, typically in the whole world have a high risk of being pointedly late and over budget. However, a bit of schedule and cost related risks are unavoidable in any construction project around the world. It was found out that the engineers were generally nominated earlier the design phase of any project. Due to this reason maximum projects did not get the advantage from SMEs at the planning stage of the project. This study also supports that project managers who are engineers be involved in construction projects site selection, in preliminary budget and schedule development by using good Engineering Management Practices.


Buildings ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 15 ◽  
Author(s):  
Kamyar Kabirifar ◽  
Mohammad Mojtahedi

The Construction Industry is a complex and fragmented industry worldwide with regards to its supply chain, products, and processes, and is faced with a similar dilemma as faced by manufacturers during its time in past decades. Scope, time, and cost are the triple constraints of project management and leading factors in defining the project performance. Productivity and efficiency of each construction project is measured through its triple constraints, therefore the factors that affect project success are significantly important. Despite the importance of understanding project performance indicators, few empirical studies have been conducted over the last decade in terms of analyzing the factors that determine the performance of high-rise buildings in Engineering, Procurement, and Construction (EPC) projects. Hence, the aim of this paper is to analyze and rank EPC critical activities across large-scale residential construction projects in Iran, by using the TOPSIS method as a multi-attribute group decision-making technique. Results indicate that engineering design, project planning and controls are significant factors contributing to the project performance. In addition, engineering has a pivotal role in project performance and this significance is followed by the construction phase. On the contrary, all believe procurement is more important than Construction phase.


2021 ◽  
Vol 23 (12) ◽  
pp. 243-248
Author(s):  
Ashenafi Reta ◽  
◽  
Ashebir Alyew ◽  

Performance indicators of construction project are used to measure overall performance in construction projects. These indicators can then be used for benchmarking purposes, and will be a key element of any organization’s move towards attaining quality practice in order to overcome performance problem. The results of a questionnaire survey done to determine factors affecting the performance of construction projects in Ethiopia’s Wolaita zone are presented in this paper. Personnel from consultants, owners, and contractors involved in construction projects were among the survey’s respondents. The outcome of the study outlines Availability of personnel with high experience and qualification, Availability of resources as planned through project duration, Average delay because of closures and materials shortage, Conformance to specification and Leadership skills for project manager as the top ranked key factors that affect performance of construction project.


1983 ◽  
Vol 20 (04) ◽  
pp. 332-347
Author(s):  
Henry Chen ◽  
Phil Rawstron

Methods of simulating offshore construction project activities and associated weather-related downtime are reviewed. Specific attention is given to the use of network modeling techniques to determine probable durations and risk levels for complex marine projects such as the installation of the first guyed tower production platform, and offshore mating of HIDECK, a barge-mounted integrated oil production facility with a preinstalled platform. Monte Carlo simulation techniques are used to select random variables. The environmental data derived from a spectral ocean wave model are used, while full account is taken of hydrodynamic response of the offshore systems in order to establish the limiting sea states for performing specific construction operations. Environmental data sources for such simulations are reviewed. Various methods used to determine limiting sea states are compared. The results of statistical analysis of offshore construction operations, such as module lifting, pipelaying, and saturation diving, are presented to give insight into the limitations on vessel motions during offshore construction. In summary, this paper provides a review of methodologies and data used in performing operability analyses, in order to assist engineers in assessing duration and risk for offshore construction projects.


2021 ◽  
Vol 11 (14) ◽  
pp. 6493
Author(s):  
Martina Milat ◽  
Snježana Knezić ◽  
Jelena Sedlar

Complex construction projects are developed in a dynamic environment, where uncertainty conditions have a great potential to affect project deliverables. In an attempt to efficiently deal with the negative impacts of uncertainty, resilient baseline schedules are produced to improve the probability of reaching project goals, such as respecting the due date and reaching the expected profit. Prior to introducing the resilient scheduling procedure, a taxonomy model was built to account for uncertainty sources in construction projects. Thence, a multi-objective optimization model is presented to manage the impact of uncertainty. This approach can be described as a complex trade-off analysis between three important features of a construction project: duration, stability, and profit. The result of the suggested procedure is presented in a form of a resilient baseline schedule, so the ability of a schedule to absorb uncertain perturbations is improved. The proposed optimization problem is illustrated on the example project network, along which the probabilistic simulation method was used to validate the results of the scheduling process in uncertain conditions. The proposed resilient scheduling approach leads to more accurate forecasting, so the project planning calculations are accepted with increased confidence levels.


2019 ◽  
Vol 9 (1) ◽  
pp. 211-217 ◽  
Author(s):  
Sławomir Biruk ◽  
Łukasz Rzepecki

AbstractRepetition of the same processes on different objects or units of a construction project and their concurrent execution makes it necessary to use the same limited resources at the same time. Managers prefer simple heuristic priority rules to scheduling construction activities, but there is not one the best for all projects. In addition that the experience from deterministic scheduling problems and priority-rule methods cannot always be directly transferred to stochastic environment.The paper presents the pure reactive simulation model for planning construction projects in random conditions, taking into account the availability of renewable resources. Conducting simulation tests allows for various priority rules to determine the distribution of construction project duration and evaluate the robustness of the schedule.The paper analyzes the effectiveness of the selected priority rules in a pipe line project. In the analyzed project, the Dynamic Minimum Slack rule ensures the lowest average duration of the project in random conditions and the highest quality robustness. The analysis of the simulation results can help the construction manager to choose the procedure ensuring the timely completion of the construction project in the stochastic environment.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tianqi Wang ◽  
Moatassem Abdallah ◽  
Caroline Clevenger ◽  
Shahryar Monghasemi

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.


Sign in / Sign up

Export Citation Format

Share Document