An Approach to the Analysis of Causes of Delays in Industrial Construction Projects through Planning and Statistical Computing

Carlos Araújo-Rey,Miguel A Sebastián

doi:10.3390/su13073975

Carlos Araújo-Rey, Miguel A Sebastián

Open Access

https://doi.org/10.3390/su13073975

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Journal: Sustainability	Publication Date: Apr 2, 2021
Citations: 4	License type: CC BY 4.0

Affiliation: National University of Distance Education

Abstract

The analysis of the planning activities of industrial construction projects can help to evaluate some of the causes that have an impact on the variation of execution times and can also contribute to identifying those activities and components that are most likely to experience or cause delays. Data analysis is facilitated by the use of techniques based on statistical programs, allowing delays to be unequivocally linked to the different elements that make up these projects. In a theoretical study, a simulation is carried out with data that are hypothetical but consistent with real projects, which are transformed and standardized before being uploaded to the statistical software. Using the statistical software’s graphical interface, the data set is analyzed from a descriptive point of view, unraveling the relationships between variables and factors by means of contingency tables and scatter plots. Using other techniques such as the comparison of variables and correlation studies, as well as linear regression and variance analysis, the characteristics are evaluated and the differences in project delays are investigated in order to determine, after the fact, which components have the highest rates of delay in execution times.

Highlights

For the development of the study, hypothetical data from industrial project plannings were used as a starting point, based on and consistent with real projects, treating the information generically and focusing mainly on basic parameters such as the duration of activities and delays, the relationships between activities and the different components and equipment included in each plan
The information of some of the main factors is shown in the Table 2 below: Table 2
This study presented an approach based on a planning analysis methodology to assess the certain elements that can influence variations in execution times during the development of construction industrial projects, and to identify, to the extent possible, those components that are most significant in this respect using different techniques, as well as the impact in other components, considering the activities, dates, durations, relationships and the different elements part of the project schedules

Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. A project can be defined as a “‘unique, temporary, multidisciplinary and organized endeavor to realize agreed deliverables within pre-defined requirements and constraints” [1]

Methods

Discussion

Conclusion