Extending the Value of Predictive Analysis for Demand Forecast and Scheduling Reconsideration

8 pages•Published: December 11, 2023

Haiyan Xie, Euysup Shim, Asha Sashidharan and Catherine Shi

Abstract

The COVID-19 pandemic has put a lot of pressure on the healthcare and construction industries. The high transmission rate of virus variants and the low rate of return to work after patients recovered from the disease are the main reasons for this situation. This research focuses on the influences of construction project management challenges on scheduling considerations. After the literature review, this paper compares three event-study methods to establish a methodology for both a regional and a national project demand forecast. Then, this paper explains the process of data collection on economic impacts on labor-intensive markets like construction and demand forecast. In this research, the available datasets were extracted and analyzed from the Department of Health and Human Services and the National Healthcare Safety Network. The analysis indicates that around 20-60% of the population in the U.S. was influenced by the pandemic on the national level. About 30% of the population was affected in the selected state. Using case studies, expert knowledge, and statistical simulations, the data analysis identified causes of resource shortages and substances of scheduling reconsideration. The results indicate that project managers should carefully assess the changed resource limitations that call for flexible and resilient scheduling approaches.

Keyphrases: project capacity analysis, project management, scheduling, value prediction

In: Tom Leathem, Wes Collins and Anthony Perrenoud (editors). Proceedings of 59th Annual Associated Schools of Construction International Conference, vol 4, pages 515-522.

Links:	https://easychair.org/publications/paper/6B6kN
	https://doi.org/10.29007/m5f1

BibTeX entry

@inproceedings{ASC2023:Extending_Value_Predictive_Analysis,
  author    = {Haiyan Xie and Euysup Shim and Asha Sashidharan and Catherine Shi},
  title     = {Extending the Value of Predictive Analysis for Demand Forecast and Scheduling Reconsideration},
  booktitle = {Proceedings of 59th Annual Associated Schools of Construction International Conference},
  editor    = {Tom Leathem and Wes Collins and Anthony Perrenoud},
  series    = {EPiC Series in Built Environment},
  volume    = {4},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {/publications/paper/6B6kN},
  doi       = {10.29007/m5f1},
  pages     = {515-522},
  year      = {2023}}

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