Rapid transformation across all sectors through Saudi Arabia’s vision 2030 initiatives led to an increase in construction activities. However, the industry has been already facing huge cost and time overruns, affecting stakeholders. The aim of this study is identify explore influential risk factors that lead completion delays overruns government-funded building projects Arabia, which have subje...

This work was performed to determine relations between car mass and driver injuries (serious or fatal) when cars of similar mass crash into each other head-on. This type of crash is examined because it is considered similar in some respects to a barrier crash. Data from the United States Fatal Accident Reporting System (FARS) are used to examine driver fatality likelihood as a function of car m...

This paper explores qualitative effects of lead-time uncertainty in a basic continuous-time single-item inventory model with Poisson demand and stochastic lead times. The objective is to minimize the infinite-horizon expected total discounted cost. Order costs are linear, so a base-stock policy is optimal. Traditionally and intuitively, people believe that a (stochastically) longer lead time re...

In practical applications we are frequently required to find a supervisor that can achieve certain optimal performance. Some performance such as maximum throughput or minimum execution time/cost can be specified in terms of weights. In this paper we first define a minimum-weight supervisory control problem on weighted discrete-event systems. Then we show that, the supremal minimum-weight contro...

A benchmark of different starting modes a passive Fuel Cell (FC)/Ultracapacitors (UCs) hybrid source is presented. Passive hybridization consist to directly connect the FC and UC without power electronics. Compared with active sources, presents some advantages: lower volume weight, ease implementation, cost. However, distribution among sources no longer controllable. Additionally, FC–UC source’...

We present methods for operating system directed dynamic power management. We model a power-managed system using a continuous-time Markov decision process and solve for the optimal power management policy using a mathematical programming technique. Next we extend the model by using the controllable Generalized Stochastic Petri Nets with cost to handle systems with complex behavioral characteris...

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