Search results

This chapter discussed the implementation of the digital twin (DT) idea into construction. Through the adoption of DTs into construction practices, construction professionals have been able to project an identical virtual concept of sections of the project execution right from the onset. In the introduction and discussing of its origin, the DT was further assessed about its applications in construction beneficial in enhancing project delivery. Other sections like barriers, drivers and benefits of the DT in construction summarised what this chapter represents in terms of discussing the new involvement of digital tools in construction execution, management and sustainability.

The world is becoming digitised, and the construction industry is not left behind in the move. Buildings are getting advanced to the level of operating them electronically with little or no human interference. The implementation of technological practices into operations has produced many new products and provided ways of improving the efficiency of the products. A practical example is the application of robots being involved in the construction process. And these robotics are controlled by the use of mechatronics engineering through their artificial intelligence incorporated into their systems. This chapter examined the activities and involvement of mechatronics in construction, the different benefits to be derived from mechatronics applications and the uphill challenges it poses in construction projects.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.