A cloud-aided remanufacturing framework to assess the relative complexity

Abstract

Sustainability of production systems is currently the main priority factor for industrial systems. Factories are trying to apply circular economy models to mitigate their impact on the terrestrial ecosystem while respecting the major human centric perspective. They adopt technologies to support the design and manufacturing of reusable/remanufactured parts. These allow the effectiveness and efficiency (managing strategical paths and operational data) of complex remanufacturing systems, now commonly integrated within cloud management and control platforms. Here, uncertainty and unreliable factors can be managed across integrated rules/paths based on a main framework for closed loop arrangements. In this paper, we proposed a schematization constituted of holons for product adaptation on re-manufacturing context. We designed, as per state of art analysis, a cloud-aided remanufacturing frame for complexity measurement and product adaptation on reliable and sustainable blocks regarding consumption, reception, recovery and release. This framework is proposed for main usage in assembly/disassembly processes. It wants to map the main blocks (properly holons) and connections influencing complexity management for return products.