This paper presents a new and efficient method to calculate point mobilities from subcomponents of a full structure. When performing dynamic analyses of subcomponents the result normally tends to strongly depend on the boundary condition selected for the component. The goal is to simulate the results one would have received if the full model would be analysed. Normally free or clamped boundary ...

In this paper we consider single machine scheduling problems with a common due-date for all jobs, arbitrary monotone earliness and tardiness costs and arbitrary breakdown and repair processes. We show that the problem is equivalent to a deterministic one without breakdowns and repairs and with an equivalent cost function of a job's completion time. A V-shaped schedule without idle times is show...

Abstract: This study is concerned with replenishment decision making with repairable nonconforming products, backordering and random equipment failure during production uptime. In real world manufacturing systems, due to different factors generation of nonconforming items and unexpected machine breakdown are inevitable. Also, in certain business environments various situations between vendor an...

Coal is expected to be an important energy resource for some developing countries in the coming decades; thus, rapid classification and qualification of coal quality has impact on improvement industrial production reduction pollution emissions. The traditional methods proximate analysis are time consuming labor intensive, whose results will lag combustion condition coal-fired boilers. However, ...

Software Project management involves coordinating various aspects of a project in order to bring forth a positive result. There have been increasing challenges faced by Project Managers. The major challenges of project management include unrealistic deadlines, communication deficit, uncertain dependencies, failure to manage risk and invisibility of the intermediate products. Meeting these chall...

We present AI Poincar\'e, a machine learning algorithm for auto-discovering conserved quantities using trajectory data from unknown dynamical systems. test it on five Hamiltonian systems, including the gravitational 3-body problem, and find that discovers not only all exactly quantities, but also periodic orbits, phase transitions breakdown timescales approximate conservation laws.