With the popularization of the intelligent manufacturing, much attention has been paid in
such intelligent computing methods as deep learning ones for machinery fault diagnosis …

Integrated analysis and optimization of material and energy flows in the iron and steel
industry have drawn considerable interest from steelmakers, energy engineers …

The hybrid flow shop and distributed flow shop problems have been extensively studied due
to their wide industrial applications. However, the distributed heterogeneous hybrid flow …

In this paper, a Mixed-Integer Linear Programming (MILP) model to simultaneously schedule
jobs and transporters in a flexible flow shop system is suggested. Wherein multiple jobs …

The classical hybrid flow shop scheduling problem (HFSSP) considers the operation and
machine constraints but not the worker constraint. Acknowledging the influence and …

Steel-making and continuous casting (SCC) processes are considered the main bottlenecks
in the steel industry. We consider planning and scheduling problems in SCC processes and …

This paper studies the prize-collecting vehicle routing problem (PCVRP), which is a new
variant of the vehicle routing problem. In the PCVRP, besides the vehicle assignment and …

With the increasing energy price and the urgent demand of manufacturing enterprises for
energy conservation, energy-efficient scheduling (EES) technology has been widely …

Scheduling problems are one of the widely used problems which have both academic and
real-life applications. In academic fields, it can be used to test the efficiency of a newly …

With many industrial applications in the production sector, the hybrid flowshop scheduling
problem (HFSP) has received wide recognition in the scheduling literature. Given the NP …