Robust process-based multi-project scheduling for construction projects in Vietnam

2008 ◽  
pp. 341-352
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Robust Process

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 Effective Project Scheduling Under Workspace Congestion and Workflow Disturbance Factors

2014 ◽  
Vol 2 (1) ◽  
pp. 35 ◽  
Author(s):  
Vitaly Semenov ◽  
Anton Anichkin ◽  
Sergey Morozov ◽  
Oleg Tarlapan ◽  
Vladislav Zolotov
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Critical Path ◽  
Resource Utilisation ◽  
Scheduling Problem ◽  
Priority Rules ◽  
Planning And Scheduling ◽  
Advanced Planning ◽  
Project Scheduling Problem ◽  
Spatio Temporal

Effective project management implies the use of advanced planning and scheduling methods that allow to determine feasible sequences of activities and to complete a project on time and on budget. Traditional scheduling tools like fundamental Critical Path Method (CPM) and various methods for Resource Constrained Project Scheduling Problem (RCPSP) and Time Constrained Project Scheduling Problem (TCPSP) have many shortcomings for construction projects where spatial factor plays a critically important role. Previous attempts to interpret space as a specific resource were successful for particular problems of line-of-balance scheduling, space scheduling, dynamic layout planning, horizontal and vertical logic scheduling, workspace congestion mitigating, scheduling multiple projects with movable resources, spatial scheduling of repeated and grouped activities and motion planning. However, none of these methods considers the spatio-temporal requirements in a holistic framework of generic RCPSP problem and provides feasible results accounting for workspace and workflow factors. In this paper we start with the classical RCPSP statement and then present mathematically strong formalisation of the extended generalised problem, taking into account workspace congestion and workflow disturbance constraints specified in practically meaningful and computationally constructive ways. For the generalised RCPSP problem an effective scheduling method is proposed. The method tends to minimise the project makespan while satisfying timing constraints and precedence relations, not exceeding resource utilisation limits, avoiding workspace congestions and keeping workflows continuous. The method reuses so-called serial scheduling scheme and provides for additional computational routines and heuristic priority rules to generate feasible schedules satisfying all the imposed requirements. Advantages of the method and prospects for its application to industrial needs are outlined in the paper too.

The use of enhanced positional weight method for constrained resources project scheduling

1999 ◽  
Vol 26 (2) ◽  
pp. 242-247 ◽  
Author(s):  
Paul Wing Ming Tam ◽  
Ekambaram Palaneeswaran
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Resource Constraints ◽  
Critical Path ◽  
Technical Note ◽  
Critical Path Method ◽  
Unrealistic Assumption ◽  
Heuristic Technique ◽  
Weight Method ◽  
Positional Weight

Scheduling of construction projects is normally performed with the critical path method (CPM). The popular CPM/PERT network techniques are based on the assumption that sufficient resources will be available when needed to complete all project activities on schedule. This unrealistic assumption can lead to ineffective resource usage and project delays. For scheduling of the project activities with resource constraints, other algorithms have to be used. This technical note first outlines the suitability of ranked positional weight method (RPWM), a heuristic resource scheduling method, to construction project scheduling. It then focuses on a new heuristic technique, the enhanced positional weight method (EPWM), which is an improved version of the RPWM. Some interesting comparisons between the results given by Primavera, Microsoft Project, RPWM, and EPWM are also presented.Key words: ranked positional weight method, enhanced positional weight method, and critical path method.

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 THE OPTIMIZATION OF MULTIPURPOSE BUILDING DEVELOPMENT ON PROJECT SCHEDULING USING PRECEDENCE DIAGRAM METHOD (PDM)

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Sutrisno Sutrisno ◽  
Ahmadi Ahmadi ◽  
Okol S Suharyo
Keyword(s):  
Project Scheduling ◽  
Cost Efficiency ◽  
Construction Projects ◽  
Critical Path ◽  
Current Development ◽  
Diagram Method ◽  
Total Cost ◽  
Optimal Duration ◽  
Implementation Costs ◽  
The Impact

ABSTRACT The current development of construction projects lead to construction projects being more complex and complicated. The success or failure of a project can be due to inadequate planning and less effective controls, resulting in inefficient projects. This will result in delays, lower quality, and increased implementation costs. All of those problems are expected to be overcome with Presedence diagram method by reducing the impact of delay and swelling of project cost by crashing with applied overtime. Acceleration of duration on the critical path jobs was performed. The results with PDM indicated that the optimal duration of project was 100 days with efficiency time for 20 days or equal to 16,67% and the total cost of Rp 13,060,754,232.00 with cost efficiency equal to Rp 528,158,094.00 or 3,88%. Keywords: Crashing, Controlling, Planning, PDM

Probabilistic Method for Managing Common Risks in Software Project Scheduling Based on Program Evaluation Review Technique

2020 ◽  
Vol 11 (3) ◽  
pp. 77-94
Author(s):  
Quyet-Thang Huynh ◽  
Ngoc-Tuan Nguyen
Keyword(s):  
Risk Factors ◽  
Resource Allocation ◽  
Program Evaluation ◽  
Bayesian Networks ◽  
Project Scheduling ◽  
Construction Projects ◽  
Probabilistic Method ◽  
Software Project ◽  
Software Projects ◽  
Common Risk Factors

Project management and project scheduling are crucial to help development teams keep track of timing as well as resource allocation. In order to manage software projects, project managers need to anticipate, analyze the risk factors that may occur as well as their impacts on the progress of the project, and assess and adapt the project resource allocation. This paper concentrates on a quantitative approach for risk analysis in software project scheduling by taking advantage of Bayesian networks capacity (including related mathematical calculations) in modeling and assessing uncertainty and incorporates them in software project scheduling with program evaluation and review technique (PERT). Common risk factors in project scheduling are also examined, and a Bayesian networks model of 19 common risk factors and their causal relationships is proposed and confirmed. The research also borrows and implements categories and levels of risk from construction projects into software projects. A tool was built to experiment and validate the proposed model.

Optimizing time, cost and quality in multi-mode resource-constrained project scheduling

2019 ◽  
Vol 9 (1) ◽  
pp. 44-63 ◽  
Author(s):  
Marimuthu Kannimuthu ◽  
Benny Raphael ◽  
Ekambaram Palaneeswaran ◽  
Ananthanarayanan Kuppuswamy
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Time Cost ◽  
Multi Objective Optimization ◽  
Resource Constrained ◽  
Content Type ◽  
Resource Constrained Project Scheduling ◽  
Multi Objective ◽  
Multi Mode

Purpose The purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment. Design/methodology/approach A case study approach identified the activity execution modes in building construction projects in India to support multi-mode resource-constrained project scheduling. The data required to compute time, cost and quality of each activity are compiled from real construction projects. A binary integer-programming model has been developed to perform multi-objective optimization and identify Pareto optimal solutions. The RR-PARETO3 algorithm was used to identify the best compromise trade-off solutions. The effectiveness of the proposed framework is demonstrated through sample case study projects. Findings Results show that good compromise solutions are obtained through multi-objective optimization of time, cost and quality. Research limitations/implications Case study data sets were collected only from eight building construction projects in India. Practical implications It is feasible to adopt multi-objective optimization in practical construction projects using time, cost and quality as the objectives; Pareto surfaces help to quantify relationships among time, cost and quality. It is shown that cost can be reduced by increasing the duration, and quality can be improved only by increasing the cost. Originality/value The use of different activity execution modes compiled from multiple projects in optimization is illustrated, and good compromise solutions for the multi-mode resource-constrained project scheduling problems using multi-objective optimization are identified.

scholarly journals Simulation Based Construction Project Schedule Optimization

2016 ◽  
pp. 173-195
Author(s):  
Maximilian Bügler ◽  
André Borrmann
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Geometric Constraints ◽  
Project Schedule ◽  
Schedule Optimization ◽  
Solution Algorithms ◽  
Simulation Based ◽  
Project Scheduling Problem ◽  
Complex Constraints ◽  
High Diversity

Construction projects require a multitude of procedures and resources for the high diversity of building concepts. Most of such projects are unique in their design and need individual schedule planning to be realized. In order to develop the required schedules, several complex decisions need to be made and several different factors need to be taken into account, including cost, make span, safety, resource sparsity, delivery schedules and geometric constraints. The problem of scheduling the involved processes in an optimal way is called the resource constrained project scheduling problem (RCPSP) and several solution algorithms are available. In addition, simulation based techniques can be used to address more complex constraints and objectives. This chapter presents an overview of traditional optimization procedures for the RCPSP and bridge the gap to simulation based techniques, which are described in detail.

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