scholarly journals 4D Model Through GIS for Planning and Scheduling of Residential Construction Projects

2012 ◽  
Vol 7 (4) ◽  
pp. 222-228 ◽  
Author(s):  
V. Rajesh Kumar ◽  
T. Navaneetha
Keyword(s):  
Construction Projects ◽  
Residential Construction ◽  
Planning And Scheduling

scholarly journals Collaborative supply chain planning and scheduling of construction projects

2020 ◽  
Vol 53 (2) ◽  
pp. 10761-10766
Author(s):  
Walid Elmughrabi ◽  
Oumaima Ben Sassi ◽  
Thien-My Dao ◽  
Amin Chabaane
Keyword(s):  
Supply Chain ◽  
Construction Projects ◽  
Supply Chain Planning ◽  
Planning And Scheduling

An empirical study on non-physical waste factors in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Charles Igwe ◽  
Fuzhan Nasiri ◽  
Amin Hammad
Keyword(s):  
Developing Countries ◽  
Empirical Study ◽  
Construction Projects ◽  
Severity Index ◽  
Structured Interviews ◽  
Planning And Scheduling ◽  
Content Type ◽  
Normality Test ◽  
Importance Index ◽  
Human Material

PurposeThis study highlights the findings of an empirical study to investigate waste factors (WFs) affecting the performance and delivery of construction projects in developing countries. The objectives of this study are to identify non-physical WFs in developing nations and rank the identified factors based on their degree of influence on the key performance indicators (KPIs) of cost, quality and time.Design/methodology/approachIn total, 34 WFs were identified through a detailed literature review and consolidated using semi-structured interviews with construction practitioners. The statistical analysis involved a normality test using the Shapiro–Wilk test to determine if sample data have been drawn from a normally distributed population, ranking the WFs using the Frequency Index (FI), Severity Index (SI) and Importance Index (IMPI), ranking the WFs based on their effect on the project KPIs of cost, quality and time, and identify clustering structures for the identified WFs to using factor analysis (FA).FindingsThe results revealed ineffective planning and scheduling, rework/repair of defective work and resource quality problems (human, material and equipment) as the three most important WFs affecting construction projects. The factor analyses showed that WFs can be grouped into five interrelated components, suggesting the need for integrated and holistic strategies to overcome the identified WF.Practical implicationsUnderstanding the effects of WFs on construction projects is a first step towards designing holistic solutions to ensuring projects deliver value to the clients and other stakeholders. The findings of this study provide direction to construction practitioners on where to focus appropriate strategies to manage the identified WFs effectively and, therefore, improve the productivity of construction projects.Originality/valueThis study provides the first holistic analysis of WFs affecting the productivity of construction projects in developing countries.

scholarly journals Earthwork Planning and Visualisation of Time-Location Information in Road Construction Projects

2016 ◽  
Vol 1 ◽  
pp. 75
Author(s):  
R. K. Shah
Keyword(s):  
Construction Projects ◽  
Progress Monitoring ◽  
Road Construction ◽  
Resource Planning ◽  
Automatic Generation ◽  
Prototype Model ◽  
Accurate Information ◽  
Planning And Scheduling ◽  
Time Space ◽  
College Of Engineering

<p>Accurate information of locations from visual aspect is vital for efficient resource planning and managing the workspace conflicts in the earthwork operations, which are missing in the existing linear schedules. Hence, the construction managers have to depend on the subjective decisions and intangible imagining for resources allocation, workspace conflicts and location-based progress monitoring in the earthwork projects. This has caused uncertainties in planning and scheduling of earthworks, and consequently delays and cost overruns of the projects. To overcome these issues, a framework of computer based prototype model was developed using the theory of location-based planning. This paper focuses on the case study experiments to demonstrate the functions of the model, which includes automatic generation of location-based earthwork schedules and visualisation of cut-fill locations on a weekly basis. The experiment results confirmed the model’s capability in identifying precise weekly locations of cut-fill and also visualising the time-space conflicts at the earthwork projects. Hence, the paper concludes that the model is a useful decision supporting tool to improve site productivity and reduce production cost of earthworks in the construction projects like roads and railways. </p><p><em>Journal of Advanced College of Engineering and Management, Vol. 1, 2015</em>, pp. 75-84</p>

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.

RISK ASSESSMENT THROUGH CONSTRUCTION SEQUENCE ANALYSIS FOR PLANT CONSTRUCTION PROJECTS

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Jihye Kim ◽  
Jaehyun Choi
Keyword(s):  
Construction Projects ◽  
Planning Process ◽  
Industrial Plant ◽  
Work Package ◽  
Planning And Scheduling ◽  
Schedule Management ◽  
Related Data ◽  
South Korean ◽  
Plant Construction ◽  
Detail Design

Although South Korean construction companies have significantly increased their share in the international construction market, the work scope of their projects has been limited to detail design and construction, instead of expanding their market to the earlier phases of project execution. South Korean companies should also expand their capabilities to project management consultancy (PMC), enabling planning and scheduling knowledge to handle various risks associated with each work package. This research involved developing a Unit Activity Sequence Model (USAM) for industrial plant construction projects to minimize project risks. A Standard Sequence Logic Unit was set up to establish the initial scheduling phase of plant projects, and to understand objectively construction flows and the association between construction events, etc. Previous research has a scope that is very limited to specific plants, and it is currently unsatisfactory to understand the flow of overall plant construction. This research is different from other studies busing USAM per work package in the initial planning process, in order to help determine the overall flow. It is based on various references and extensive opinions collected from the schedule management experts as a reason for the lack of case studies. Thus, more research and process-related data collection needs to be added from the experts in various research companies.

An optimization model for workgroup-based repetitive scheduling

2006 ◽  
Vol 33 (9) ◽  
pp. 1172-1194 ◽  
Author(s):  
Rong-yau Huang ◽  
Kuo-Shun Sun
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Construction Projects ◽  
Optimal Solution ◽  
Planning And Scheduling ◽  
Construction Scheduling ◽  
Chromosome Representation ◽  
Scheduling Method ◽  
Model Formation ◽  
System Project

Most construction repetitive scheduling methods developed so far have been based on the premise that a repetitive project is comprised of many identical production units. Recently, Huang and Sun (2005) developed a workgroup-based repetitive scheduling method that takes the view that a repetitive construction project consists of repetitive activities of workgroups. Instead of repetitive production units, workgroups with repetitive or similar activities in a repetitive project are identified and employed in the planning and scheduling. The workgroup-based approach adds more flexibility to the planning and scheduling of repetitive construction projects and enhances the effectiveness of repetitive scheduling. This work builds on previous research and develops an optimization model for workgroup-based repetitive scheduling. A genetic algorithm (GA) is employed in model formation for finding the optimal or near-optimal solution. A chromosome representation, as well as specification of other parameters for GA analysis, is described in the paper. Two sample case studies, one simple and one sewer system project, are used for model validation and demonstration. Results and findings are reported.Key words: construction scheduling, repetitive project, workgroup, optimization, genetic algorithm.

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