A Predictive Maintenance System for Reverse Supply Chain Operations

Background: Reverse supply chains of machinery and equipment face significant challenges, overcoming them is critical for effective customer service sustainable operation. Maintenance repair services, strongly associated with the reverse movement equipment, are among most demanding chain operations. Equipment scattered in various locations, multiple suppliers involved its maintenance, making it challenging to manage related Effective maintenance essential businesses-owners as reducing costs while improving quality helps gain a competitive advantage. Methods: To enhance operations this paper presents operational framework, methodological approach, architecture developing system that covers needs predictive chain. It based on Industry 4.0 technologies, such Internet things, machine learning, cloud computing. Results: As result successful implementation system, management achieved supporting Conclusions: This will eventually lead fewer good-conditioned spare part replacements, just time extended life cycles, unnecessary disposals.