An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …

With the evolution of the industry, the production process becomes a large-scale problem
that made scheduling jobs process as a combinatorial optimization problem. The most …

As the main link of the rapidly developing prefabricated construction industry, the production
of precast components (PCs) has become a research hotspot. Therefore, the distributed …

Graphs are powerful tools to model manufacturing systems and scheduling problems. The
complexity of these systems and their scheduling problems has been substantially …

This paper deals with the flow shop scheduling problem. To find the optimal solution is an
NP-hard problem. The paper reviews some algorithms from the literature and applies a …

This paper deals with constrained multistage machines flow‐shop (FS) scheduling model in
which processing times, job weights, and break‐down machine time are characterized by …

This paper proposes a new methaheurstic to solve the flow shop scheduling problem which
is considered as an NP− hard problem for relatively high dimensions. The flow shop …

Our article aims to resolve the scheduling instances in a job shop, hereinafter referred to as
JSSP. The objective is to minimize the makespan, or the maximum amount of time needed to …

A scheduling problem consists of finding a sequence of jobs (goods and services) that will
be processed in a set of machines (equipment, employees, machines themselves) with the …

Scheduling jobs on equipotential machines is an activity that is very much a part of industrial
scheduling. This research reports a methodology for minimizing the make span and …