Abstract

The Production Strategy Process (PSP) is an integral part of production planning and control as it defines how production processes are structured and designed and outlines how production will be executed. PSP involves massive information transfer and communication among project participants. While BIM can improve the flow of information, the paradox of designing 3D models in 2D space remains. This paradox indicates that new visualization technologies are needed to leverage the use of information in the PSP. As Industry 4.0, the fourth industrial revolution, continues to evolve, it is imperative that construction firms seek, find, and adopt new technologies. This research employed Augmented Reality (AR) as a new user interface in the PSP. The current state of practice of PSP was investigated and current challenges are identified. The opportunities to integrate AR were defined, and an AR-enabled future state was proposed. Next, an AR-enabled PSP prototype using the Microsoft HoloLens was implemented and validated on a real-world healthcare project. Usability testing was then conducted using a one-on-one protocol to validate the prototype with 20 participants. Surveys were the deployed to qualitatively assess the impact of integrating AR into PSP. The difference between the traditional PSP and the AR-enabled PSP was tested through a series of hypotheses comparing both processes. The results demonstrate that the AR-enabled PSP offers significant benefits over the Traditional PSP: improved collaboration, reduced miscommunication, increased quality and detection of errors, enhanced decision-making, better documentation, better information access, improved information flow, increased input accuracy, and increased integration of safety considerations. Additionally, the technology, software, and hardware were also evaluated, and, on average, the findings demonstrated the potential of AR in production planning.

Highlights

  • The construction industry is anticipated to growth globally post-COVID-19 pandemic (Francis and McKeown 2021; GlobalData 2021)

  • While the construction industry is a major contributor to the prosperity of nations, it is fraught with expensive waste and inefficiencies that arise due to a variety of factors such as out-of-sequence work, inadequate control of labor, materials and logistics, gaps in Augmented Reality (AR)-Enabled Production Strategy Process communication and coordination, and unreliable lead times (Howell and Lichtig 2008; Modular Building Institute (MBI) 2010; Forbes and Ahmed 2011; Oakland and Marosszeky 2017; CII 2018; Ratajczak et al, 2019; Bajjou and Chafi 2021)

  • Construction researchers agree that major issues in production planning and control are caused by the 1) inadequacy of traditional project management theory and 2) improper applications of information technologies (IT) (Koskela 1992; Ballard 2000; Koskela 2000; Sriprasert and Dawood 2002; Dave et al, 2010; Maraqa et al, 2021; Muñoz-La Rivera et al, 2021)

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Summary

INTRODUCTION

The construction industry is anticipated to growth globally post-COVID-19 pandemic (Francis and McKeown 2021; GlobalData 2021). The software was developed based on seven areas: 1) process visualization, 2) product and method visualization, 3) computation and display of work package and task maturity, 4) support for planning, negotiation, commitment, and status feedback, 5) implementation of pull flow control, 6) establishment and maintenance of workflow and plan reliability, and 7) formalization of experimentation for continuous improvement. The results showed that when IT systems are integrated on a project to support LPS, a greater level of implementation is achieved for the following five criteria: standardization of the planning and control process; use of indicators to assess compliance with planning; critical analysis of information; using an easy-to-understand and transparent master plan; and analysis and systematic removal of constraints. Dave and Sacks (2020) described three case studies on the integration of BIM with LPS and demonstrated how software tools that incorporate BIM models with process flow functionality that are is based Lean principles can support more effective communication. Conclusions, limitations, and recommendations for future research are provided

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