In this paper, we study the general problem of one-dimensional periodic task scheduling under storage requirement, irrespective of machine constraints. We have already presented in (Touati and Eisenbeis, 2004) a theoretical framework that allows an optimal optimisation of periodic storage requirement in a cyclic schedule. Since our optimization problem is NP-hard (Touati, 2002), solving an exac...

Human resource is a key factor for IT new product development. Considering multi-skilled employees in IT Project Portfolio Scheduling, a mixed integer nonlinear programming model with three optimization objectives is proposed from the view of project or product managers. The three objectives are to maximize the increments of skill efficiency values for all multi-skilled employees, to minimize R...

Driven by climate change mitigation efforts, wind energy has significantly increased in recent years. In this context, it is essential to make its exploitation costeffective. Maintenance of wind turbines therefore playsan essential role reducing breakdowns and ensuring high productivity levels. In this paper we discuss a challenging maintenance scheduling problem rising in wind farms. While the...

Job-shop scheduling is an important but difficult problem arising in low-volume high-variety manufacturing. It usually solved at the beginning of each shift with strict computational time requirements. To obtain near-optimal solutions quantifiable quality within limits, a direction to formulate them Integer Linear Programming (ILP) form so as take advantages widely available ILP methods such Br...

This paper introduces $\Delta$-MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling problem. work is an extension our original MILP (DOI:10.1109/ACCESS.2021.3064928) and inherits many its constructions strengths, including base formulation for DSN scheduling. To provide more feasible schedules with res...