Scheduling involving setup times/costs plays an important role in today's modern
manufacturing and service environments for the delivery of reliable products on time. The …

Job shop scheduling problems with setup times arise in many practical situations such as
aerospace industries, fabrication industries, printing industries and semiconductor …

Abstract The Equilibrium Optimizer (EO) algorithm is a new meta-heuristic algorithm that
uses an equilibrium pool and candidates to update particles (solutions). EO algorithm not …

The sum of the maximum earliness and tardiness criteria is a new objective function for the
job shop scheduling problem introduced in this work. A mixed integer linear programming …

We consider the job shop scheduling problem with fuzzy sets modelling uncertain durations
and flexible due dates. With the goal of maximising due-date satisfaction under uncertainty …

The flexible job shop scheduling is a challenging problem due to its high complexity and the
huge number of applications it has in real production environments. In this paper, we …

In this paper, a novel hybrid discrete particle swarm optimization algorithm is proposed to
solve the dual-resource constrained job shop scheduling problem with resource flexibility …

This paper deals with the development of a distributed multi-agent system (DMAS) for
scheduling and controlling Robotic Flexible Assembly Cells (RFAC). In the proposed …

Abstract We consider a Flexible Job-Shop scheduling problem with batching machines,
reentrant flows, sequence dependent setup times and release dates while considering …

A static job shop scheduling problem (JSSP) is a class of JSSP which is a combinatorial
optimization problem with the assumption of no disruptions and previously known …