SIMULATION-BASED ANALYSIS OF DEVICE AVAILABILITY UNDER THREE MAINTENANCE STRATEGIES

One part of the Smart Cities concept is smart logistics to ensure high availability of spare and consumption parts in the city infrastructure at low storage costs. Very similar to the manufacturing industry, concepts of 'Industry 4.0', that is the combined usage of affordable sensors, the Internet of Things and cloud services, are used by city administrations to streamline their logistics. The main purpose of the research is to present a platform to quantitatively compare infrastructure availability under different maintenance strategies. Under Industry 4.0, maintenance strategies have become vital. This research models three main maintenance strategies, namely Corrective Maintenance, Scheduled Maintenance and Condition Based Maintenance to compare their performance quantitatively. Simulation modelling tries to present the infrastructure availability under selected maintenance strategies for varying maintenance threshold values with respect to a normally distributed spare part supply chain. Additionally it presents a model to calculate related cost in achieving a particular availability level. This model is presented in order to enable organizations to make fact based decisions on the maintenance systems after customizing the simulation models to their own cost and supply chain structures.