Designing Capacity Synchronization within the Regeneration of Complex Capital Goods

Abstract

Regeneration service providers who are conducting maintenance, repair and overhaul (MRO) tasks in the field of complex capital goods face strong market-based requests like short delivery times and a high schedule reliability. Further they have to deal with uncertain workload information and high load fluctuations caused by different damages. In order to cope with these demanding challenges a holistic planning and control performance that includes all different regeneration processes is necessary. A main lever for planning and controlling internal supply chains is represented by the tasks of capacity synchronization. There are several so called design options available for synchronizing capacities. These design option influence the logistic performance and will help the service provider to reach their goals in terms of customer satisfaction.

A Data Mining Approach to Support Capacity Planning for the Regeneration of Complex Capital Goods

“…Some manufacturers of complex capital goods, such as rail vehicle transformers, thus additionally offer those regeneration services. However, there is a challenging uncertainty in terms of planning and synchronizing the capacities required for the regeneration processes that needs to be managed in order to achieve high schedule adherence and reliable delivery times [1,3]. This uncertainty is caused by the fact that the regeneration effort varies due to the good's condition and is usually not known when the planning is conducted [1,4,5].…”