Notwithstanding its disruptive potential, which has been the object of considerable debate,
Industry4. 0 (I4. 0) operationalisation still needs significant study. Specifically, scheduling is …

Most classical scheduling research assumes that the objectives sought are common to all
jobs to be scheduled. However, many real-life applications can be modeled by considering …

Scheduling problems are combinatorial optimization problems in which some activities have
to be executed using resources that they need. A feasible allocation of the resources to the …

This paper formalizes and adapts the well-known concept of Pareto efficiency in the context
of the popular robust optimization (RO) methodology for linear optimization problems. We …

We consider integrated production and batch delivery scheduling in a make-to-order
production system involving two competing agents, each of which having its own job set …

This paper considers a shared scheduling environment for distributed manufacturing
resources. In this paper, we proposed a multi-agent system based approach to promote …

We consider several two-agent scheduling problems with controllable job processing times,
where agents A and B have to share either a single machine or two identical machines in …

We consider a multi-agent scheduling problem on a single machine in which each agent is
responsible for his own set of jobs and wishes to minimize the total weighted completion …

We consider the competitive multi-agent scheduling problem on a single machine, where
each agent's cost function is to minimize its total weighted late work. The aim is to find the …

We consider a multitasking scheduling model with multiple agents, each of which has a set
of tasks to perform on a cloud manufacturing platform on a competitive basis. Each agent …