You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)

  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)

  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required

  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Digital micro-services on an AI-based construction site simulation platform: Exploring service types and key challenges

Authors:

Ignat Kulkov, Koteshwar Chirumalla, Anas Fattouh

Publication Type:

Conference/Workshop Paper

Venue:

10th International Conference on Business Servitization

Abstract

A construction site typically encompasses various heavy-duty industrial electric and autonomous vehicles. As the construction industry embraces advanced digital and Industry 4.0 capabilities, it has begun exploring ways to enhance customer support for continuous site operations through diverse digital micro-services. These micro-services offer opportunities to improve operational efficiency, promote sustainability, and deliver tailored solutions. However, their specific types and implementation challenges remain insufficiently understood across different levels of construction site operations. To bridge this knowledge gap, this study aims to investigate the potential of digital micro-services on an Artificial Intelligence (AI)-based construction site simulation platform within the heavy-duty vehicle industry. By conducting a case study in a manufacturing company operating in the heavy-duty vehicle industry, this research identifies the key types of digital micro-services that the company can offer. It considers four levels of construction site operations: site-level, fleet-level, machine-level, and component-level. Furthermore, the study elucidates the primary challenges encountered during the development and delivery of digital micro-services on an AI-based site platform. Drawing upon the Technology-Organization-Environment (TOE) theory, the research systematically categorizes these challenges. Overall, this study contributes to the existing literature on digital servitization, data-driven services, and digital platforms by shedding light on the significance of digital micro-services in the construction industry. Through the exploration of their types and challenges, it provides valuable insights for practitioners and researchers.

Bibtex

@inproceedings{Kulkov6768,
author = {Ignat Kulkov and Koteshwar Chirumalla and Anas Fattouh},
title = {Digital micro-services on an AI-based construction site simulation platform: Exploring service types and key challenges},
month = {November},
year = {2023},
booktitle = {10th International Conference on Business Servitization},
url = {http://www.ipr.mdu.se/publications/6768-}
}