International audienceAvailability of production equipments is one major issue for manufacturers. Predictive maintenance is an answer to prevent equipment from risk of breakdowns while minimizing the maintenance costs. Nevertheless, conflicts could occur between maintenance and production if a maintenance operation is programmed when equipment is used for production. The case studied here is a flow-shop typology where machines could be maintained once during the planning horizon. Machines are able to switch between two production modes. A nominal one and a degraded one where machine run slowly but increase its remaining useful life. We propose a mixed integer programming model for this problem with the makespan and maintenance delays object...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
International audienceSimultaneously scheduling jobs and preventive maintenance is a topical subject...
In this paper, a machine-learning-assisted simulation approach for dynamic flow-shop production sche...
Abstract—Availability of production equipments is one major issue for manufacturers. Predictive main...
In this thesis, we are interested on scheduling production and maintenance on one machine and a Flow...
In classical scheduling problems, machines are assumed to be continuously available. However, in a r...
International audienceIn this paper, we deal with a joint production and Preventive Maintenance (PM)...
International audienceUsually, scheduling of maintenance operations and production sequencing are de...
Production scheduling is considered as one of the most important tasks carried out in manufacturing ...
Manufacturing systems are usually confronted to conflicting situations between production and mainte...
This paper discusses integrated model of batch production scheduling and machine maintenance schedul...
In today's competitive environment, the importance of continuous production, quality improvement, an...
In manufacturing environments, machines are usually subject to down periods due to various reasons s...
Maintenance is one of the important methods that can be used to ensure the machines and equipment c...
Manufacturing systems are facing a digital transformation that supports data-driven decision making ...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
International audienceSimultaneously scheduling jobs and preventive maintenance is a topical subject...
In this paper, a machine-learning-assisted simulation approach for dynamic flow-shop production sche...
Abstract—Availability of production equipments is one major issue for manufacturers. Predictive main...
In this thesis, we are interested on scheduling production and maintenance on one machine and a Flow...
In classical scheduling problems, machines are assumed to be continuously available. However, in a r...
International audienceIn this paper, we deal with a joint production and Preventive Maintenance (PM)...
International audienceUsually, scheduling of maintenance operations and production sequencing are de...
Production scheduling is considered as one of the most important tasks carried out in manufacturing ...
Manufacturing systems are usually confronted to conflicting situations between production and mainte...
This paper discusses integrated model of batch production scheduling and machine maintenance schedul...
In today's competitive environment, the importance of continuous production, quality improvement, an...
In manufacturing environments, machines are usually subject to down periods due to various reasons s...
Maintenance is one of the important methods that can be used to ensure the machines and equipment c...
Manufacturing systems are facing a digital transformation that supports data-driven decision making ...
This paper studied the flow shop scheduling problem under machine availability constraints. The mach...
International audienceSimultaneously scheduling jobs and preventive maintenance is a topical subject...
In this paper, a machine-learning-assisted simulation approach for dynamic flow-shop production sche...