Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Shriprasad V. Bankar, Tejas U. Wagh, Abhijeet N. Amale, Nagraj R. Nalawade, Arun P. Chumble
DOI Link: https://doi.org/10.22214/ijraset.2023.53220
Certificate: View Certificate
Over the past decade, India has experienced rapid growth in its residential and infrastructure sectors. However, building projects in the country are frequently plagued by delays, which have severe consequences for the projects. One of the primary causes of these delays, both domestically and internationally, is the shortage and delayed availability of materials. However, the specific underlying reasons can vary from country to country. In the case of India, the scarcity of materials primarily stems from their origin or availability. Additionally, it has been identified that inefficient systems for procuring materials and managing inventory, as well as delayed identification of required materials, are the leading causes of delays in material delivery. These findings serve as valuable insights for formulating or revising critical policies to ensure timely completion of projects. The repercussions of project delays are wide-ranging and include cost overruns, time overruns, contract cancellations, arbitration, and litigation. The increasing prevalence of project delays directly affects the punctual delivery of construction projects. Therefore, it is imperative to investigate influential factors such as corrupt practices, lack of quality materials, incorrect design, sluggish material delivery, delayed approval and acceptance of completed project work, inadequate site management and performance, delayed budget or fund release, and ineffective project planning and scheduling. This study aims to assess the impact of construction delays and propose potential solutions to address them. By identifying the root causes and implementing effective strategies, it is possible to ensure timely project delivery and minimize the adverse effects associated with delays.
I. INTRODUCTION
The construction industry plays a vital role in shaping the infrastructure and development of societies worldwide. However, one persistent challenge faced by construction projects is delays, which can result in increased costs, reduced productivity, and client dissatisfaction. In order to tackle this issue and optimize construction processes, our project aims to employ a comprehensive approach by utilizing a questionnaire survey and the Statistical Package for the Social Sciences (SPSS) software. The objective of this project is to identify key factors contributing to delays in construction works and to analyze the collected data using SPSS, a powerful tool for statistical analysis.
By employing this methodology, we aim to derive actionable insights and develop strategies that will help in mitigating delays, ultimately improving project timelines and overall construction efficiency. The project consists of two main components: the questionnaire survey and the SPSS analysis.
The questionnaire survey will be conducted on construction sites, targeting various stakeholders including project managers, engineers, contractors, and workers. The survey will focus on gathering information related to different aspects that potentially lead to delays in construction projects.
These aspects may include but are not limited to, project planning, resource allocation, communication protocols, procurement processes, and external factors such as weather conditions or regulatory constraints. SPSS, a widely used software tool for statistical analysis. SPSS offers a range of advanced statistical techniques, allowing us to uncover relationships, patterns, and correlations within the collected data.
By employing descriptive and inferential statistics, we can identify significant factors influencing construction delays and quantify their impact on project timelines. The outcomes of our analysis will serve as a foundation for the development of effective strategies to decrease delays in construction works.
These strategies may include process improvements, resource allocation optimization, risk management enhancements, and communication streamlining. The insights gained from this project will empower construction professionals and decisionmakers to make data-driven decisions, leading to more efficient construction practices and improved project outcomes.
In conclusion, our project aims to address the persistent issue of delays in construction works through a comprehensive approach combining a questionnaire survey and SPSS analysis.
By identifying key factors contributing to delays and providing data-backed insights, we strive to foster a culture of continuous improvement within the construction industry.
By implementing the strategies derived from this research, we can pave the way for streamlined construction processes, reduced delays, and enhanced project efficiency, ultimately benefiting all stakeholders involved.
II. METHODOLOGY
A. Research Framework
Method of construction technology, Disputes in construction industry, Labour productivity and recommendation through case study.
B. Objective
To study the SPSS (Static Package for Social Science) to improve the construction Work.
III. DATA ANALYSIS
The questionnaire design practice advanced on a communicating basis. It was categorized into profile of the respondent and various factors affecting construction cost and time required completing particular work with both RCC and Ferro-cement material.
Questions in the respondent profile were created to collect information such as job position, experience of the work, locations of the current and/or previous works and contact information.
It was studied; these questions in the survey were of great important to the research by analyzing personal qualification concerns from a variety of different profiles from different regions
The set of questions was prepared and targeting the factors/sources affecting cost saved by using Ferro-cement on site. The responses were to be based on the understanding, knowledge and experience of the respondents and related to particular project.
This simple and straight method was selected to establish a means of developing a list of factors affecting cost. A Five-point scale of 1 to 5 was considered for evaluating the impact of each factor. Questions are attached in annexure page. These numerical impact values are assigned to the respondents’ rating:
???????A. Pilot Survey and Questionnaire Revisio
To improve the questionnaire section, a pilot study was accompanied. This section contained identification of different causes, collection, and conclusions of data.
The application of this section benefited in better formation of the survey development. Total 25 questionnaires, were sent to labourers, contractors, architectures, owners, project managers, valuators and project engineers of various building construction organizations.
???????B. SPSS Software
Analysis of the questionnaires survey was done using IBM SPSS Software. SPSS Statistics is a software package used for statistical analysis. The software name originally stood for Statistical Package for the Social Sciences (SPSS), reflecting the original market. It is a Windows based program that can be used to perform data entry and analysis and to create tables and graphs. It is capable of handling large amounts of data and can perform all of the analyses covered in the text and much more.
It is a widely used program for statistical analysis in social science. It is also used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations, data miners, and others. All the responses obtained from the questionnaires are entered in to the software. First, the variables or the questions are entered in the data view, then, the responses are entered into the software from the various data entered into the software, frequency can be found which is used to determine the relative importance factor.
???????C. Questions of Survey Which we Conducted
??????????????D. Output Implimentation
The SPSS output, presented in graphical form, is shared with the top management, including managers and senior engineers of the company responsible for the site. This enables them to assess the magnitude and impact of the identified problems. Through the graphical analysis, they gain insights into the areas requiring improvement and can determine the extent to which these issues affect their operations. This comprehensive understanding helps them make informed decisions on various aspects of the construction site, ultimately increasing the overall construction speed. Additionally, the SPSS analysis provides a quantitative basis for prioritizing and implementing measures to overcome the identified challenges effectively.
In conclusion, our project has successfully utilized a questionnaire survey conducted on construction sites and employed the Statistical Package for the Social Sciences (SPSS) software to address the challenges of reducing construction duration and minimizing costs. Through the comprehensive data collection process and advanced statistical analysis, we have gained valuable insights into the factors impacting construction timelines and expenses, enabling us to develop strategies for improvement. The outcomes of our analysis have led to the development of effective strategies aimed at minimizing construction duration and cost. These strategies encompass various aspects, including optimizing project planning processes, enhancing resource allocation and utilization, streamlining communication channels, improving procurement practices, and implementing cost-saving measures. By implementing these strategies, construction projects can benefit from reduced construction duration, resulting in savings in labor, equipment, and overhead costs.
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Copyright © 2023 Shriprasad V. Bankar, Tejas U. Wagh, Abhijeet N. Amale, Nagraj R. Nalawade, Arun P. Chumble. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET53220
Publish Date : 2023-05-28
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here