Abstract
Data series generated by complex systems exhibit fluctuations on a wide range of time scales, which often follow a scaling relation over several orders of magnitude. Such scaling laws allow for a characterization of the data and the generating complex system by fractal scaling exponents, which can serve as characteristic fingerprints of the systems in comparisons with other systems and models. In this article was developed a fractal characterization of the data series generated by the closed loop supply chain that supports the availability of spare parts in Telecom industry since this complex system displays fluctuations in its processes caused by endogenous and exogenous variables that create a difficulty for matching the recovery process with the demand process. Key words: Spare parts, closed loop supply chain, complex systems, fluctuations, data series, fractals.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
