This paper presents an optimal planning procedure and operational scheduling of micro energy grids (MEGs). The optimization objectives are to minimize cost, carbon dioxide emissions, and energy deficiency. The energy sources and conversion technologies included in this study are renewable based...

Given a set 𝑆 of 𝑛 points in the plane and a constant 𝛼,(𝑛, 1, 1, 𝛼)-center problem is to find two closed disks which each covers the whole 𝑆, the diameter of the bigger one is minimized, and the distance of the two centers is at least 𝛼. Constrained (𝑛, 1, 1,...

Problem definition: The effect of the minimum wage is an important yet controversial topic that has received attention for decades. Our study is the first to take an operational lens and empirically study the impact of the minimum wage on firms' scheduling practices. Methodology/results: Using a...

We test the efficient market hypothesis by using machine learning to forecast future stock returns from historical performance. These forecasts strongly predict the cross section of future stock returns. The predictive power holds in most subperiods, is strong among the largest 500 stocks, and...

In this paper we present a method to construct a periodic timetable from a tacticalplanning perspective. We aim at constructing a timetable that is feasible with respectto infrastructure constraints and minimizes average perceived passenger travel time. Inaddition to in-train and transfer times,...

The problem of dispatching shuttles to serve trip requests can be mathematically formulated as a dial-a-ride problem (DARP). With on-demand mobility services gaining more popularity due to the recent developments in gig economy, communication technologies, and urbanization, the real-time...

This paper presents new formulations for multi-activity shift scheduling problems (MASSP). In these formulations, the rules governing the feasibility of shifts are encoded in state-expanded networks in which nodes are associated with states and arcs represent assignments inducing state...

For promising outcome in industry 4.0, scheduling place a vital role for effective utilization of jobs allocate to machine. Job’s and machine’s are two attributes need to schedule for minimize makespan time, for each job we need to schedule the machine. Each job in a machine has its own...

In this paper Sensitivity & Optimal Design of a Bi-Directional Mechanical Machine with Modulated Double Flow is proposed. Aim is control the inward rotor position with a little servo engine and with the bi-directional motion regulation impact, the resultant instigated voltages in two...

The paper studies institutional trading ahead of scheduled information releases, notably earnings announcements. While scheduled news are known to be preceded by sizeable stock returns, we find that institutional investors on average forego part of these premia as they decrease their exposure to...