Due to the growing consciousness towards environment and stringent governmental legislations, manufacturers are incorporating product recovery activities in their business processes. In product recovery process, used products are collected after their end-of-use from the customers and their...

Predictive Maintenance (PdM) is the catchword in the present times. Companies are adopting PdM to obtain competitive advantage as there are many benefits associated with it. In addition to the benefits, PdM however has two major drawbacks: first, it requires costly advanced monitoring and data...

The technologically intensive nature of the predictive maintenance (PdM) method restricts its use to companies with higher turnover. This research is aimed to propose a PdM model for an N-component repairable system by integrating non-homogeneous Poisson process (NHPP) models and a system...

Every machine degrades with time and requires maintenance. Among all types of maintenance policies, predictive maintenance is established as the best form of maintenance policy as numerous benefits are associated with it. Despite all the benefits, it finds restrictive usage in manufacturing...

This paper proposes a predictive maintenance policy using modified failure mode effect and criticality analysis (Mod-FMECA) technique. FMECA is used to identify failure modes, reasons, effects and criticality of the system (machine/plant) but in Mod-FMECA in addition to the analysis carried for...

Maintenance is an integral part of any manufacturing organization and has become increasingly important in obtaining competitive advantage. Some of the managers are not aware of different maintenance strategies and are unable to reap maximum benefit from it. This paper is an effort to identify...

Predictive maintenance is a planned maintenance technique which basically involves predicting the potential failure modes of any plant machinery or equipment using sophisticated data acquisition and modeling techniques, and thus maintenance operations can be carried out before a failure occurs....