Abstract
Researchers are searching for opportunities to organize production systems that save energy and natural resources. Preventive maintenance (PM) is essential for the efficient use of machines and energy saving. Any rework due to a machine failure consumes additional energy, human resources, equipment, spare parts and raw materials. Two criteria—quality robustness (QR) and solution robustness (SR)—are used in order to compute the operational efficiency of the production system in the event of disruption. Any cost criterion can be added to the QR in order to measure losses due to a machine failure. The SR criterion measures a number of changes necessary to adopt the production schedule after the machine failure. Two proactive approaches are compared to compute the operational efficiency. In the predictive-reactive approach, the PM time is predicted and a stable schedule is built. In the proactive-reactive approach, a schedule is achieved for the best sequence of idle times between jobs. The influence of disturbance on both schedules using robustness measures is examined. This paper presents the results of computer simulations for the above approaches. The approaches are compared in order to select a better method of production organization that reduces costs and waste due to machine failure.
Highlights
Real-life situations relate to a new way of doing business and creating value by “sustainable manufacturing”
The presented approaches were compared in order to select a better method of production organization that reduces costs and waste due to machine failure
Both criteria quality robustness (QR) and solution robustness (SR) are used in order to compute the operational efficiency of the production system in the event of disruption
Summary
Real-life situations relate to a new way of doing business and creating value by “sustainable manufacturing”. Researchers are searching for production systems that minimize negative environmental impacts, conserve energy and natural resources, are safe for employees, communities and consumers, and are economically sound. Preventive maintenance (PM) is essential for the efficient use of machines and energy saving. Any rework due to a machine failure consumes additional energy, human resources, equipment, spare parts and raw materials. Building a schedule for production and maintenance jobs helps in the creation of manufacturing processes that minimize negative environmental impacts, conserve energy and natural resources, and are economically sound. Other papers search for a method that minimizes the impact of failure on a schedule. The second group of methods belongs to proactive and reactive scheduling. Both groups are important in real-life situations. The following literature review is carried out taking into account the above research groups
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