Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

This paper presents a new, multi-objective method of analysing and optimising the energy
processes associated with window system design in office buildings. The simultaneous …

Introduction Adaptive reuse in heritage buildings is the best strategy rather than demolishing
and reconstructing, while the suggested retrofitting has severe constraints to preserve …

In modern cities, as a result of high urban density and the lack of expansion of cities in the
horizontal direction, high-rise buildings and sometimes deep-plan buildings have been …

Improvements in the science of health monitoring and maintenance have facilitated the
observation of damage and defects in existing structures and infrastructures, such as …

One of the most effective ways of transmitting daylight into deep-plan buildings is to
generate light-well for spaces away from the facade and window-less spaces. Among the …

Concrete pouring represents a major critical path activity that is often affected by design
limitations, structural considerations and on-site operational constraints. As such, meticulous …

This book provides in-depth results and case studies in innovation from actual work
undertaken in collaboration with industry partners in Architecture, Engineering, and …

The concrete manufacturing supply chain is one of the most carbon-intensive systems in the
construction industry. Decision-making based on a multi-objective approach that …