Authors:
Islam Abusohyon
and
Flavio Tonelli
Affiliation:
DIME - Department of Mechanical Engineering, Energetics, Management and Transportation, Polytechnic School, University of Genoa, Italy
Keyword(s):
Product-Service Systems, Internet of Things (IoT), Cyber Physical Systems (CPS), Value-added Data, Smart Control Framework.
Abstract:
The continuous progress of technology affects all aspects of life and business, dynamically. In order to take the advantaging of technology development, business owners need to adapt themselves with the changes stemming from it. Digitalization of production and service processes is one of the directions that alignment with it will bring many privileges. Internet of Things, cyber-physical system, and artificial intelligence are the popular components of digitalization that constantly undergo evolution. Utilizing these advanced components enables business owners to transform the product-centric processes to smart control digital service-oriented ones. The main motivation of current research work is analysis a theoretical thematic of literature on IoT and CPS servitization topics to shed the light on the main areas that the researchers are focusing on since 2009 and bridge the gap that exists in the literature regarding the implementation of these technologies in the remote monitoring p
rocesses in the maritime sector. The result of the literature examination revealed five dominant areas. Through utilizing these disclosed areas, a ten-step approach block diagram for IoT-based ‘smart product servitization’ was designed. The proposed framework supports companies to take the first steps toward remote monitoring servitization through the implementation of IoT and CPS to produce a fully integrated smart monitor system to improve assets’ health and performance and reduce costs and waiting time. Moreover, a case study of a smart injector for marine engine is analysed to propose a working framework supporting the implementation of IoT and CPS to communicate the added-value data within the smart system built on five modules: process control module, process diagnosis module, healing module, storage module, and human interaction module.
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