Dr Philip Godsiff

The digital economy is often regarded as providing potential for new business models and services. While much has been written about digitization, the area of datafication within the context of service systems is much less explored. This paper attempts to highlight the implications of datafication on different types of service systems. Applying the characterization of the four types of customer inputs as defined by Lovelock and Gummeson and realworld examples, we develop a framework based on the work of Frei to analyse the potential impact of datafication on their service delivery systems. The paper also identifies future research possibilities as a result of datafication. © 2014 IEEE.

Copyright ©2015 Society for Modeling & Simulation International (SCS).The complexity of systems and their multi-faceted relationships mean that the combined application of simulation methods, or hybrid simulation, will enable synergies across techniques and will provide greater insights to problem solving. In this paper we present a hybrid simulation case study in which two models have been developed; an Agent-Based Simulation (ABS) and a Discrete-Event Simulation (DES). The models simulate the operations of offshore wind turbines, with the ABS modelling turbine failure (through, among other things, simulating a degradation model of turbine components) and the DES modelling Maintenance, Repair and Operations (MRO) strategies. The models have been implemented in NetLogo and Simul8 respectively. In this paper we review strategies for the interoperation of our hybrid ABS-DES model and discuss the advantages of using the IEEE 1516 HLA standard for distributed simulation for dynamic information exchange and synchronized model execution.

The maintenance of offshore wind turbines is a complex and costly task which represents a barrier to the development of this source of energy. The combination of the size of the farm and the size of the turbines themselves, the distance from the coast and difficult meteorological conditions make the choice of maintenance strategy difficult. Several modern maintenance techniques have been tried in order to reduce cost and time of maintenance. In this paper we propose a hybrid model of maintenance based on multi-agent systems, which allows for the modelling of systems with dynamic interactions between multiple parts. A multi-criteria decision algorithm has been developed to allow analysis and choosing of different maintenance strategies. A cost model including maintenance action cost, energy loss and installation of monitoring system cost has been presented. A simulator has been developed using NetLogo software and this is presented along with initial results at the end of this paper. These results show that employing a new hybrid maintenance strategy which we propose could increase wind farm productivity and reduce maintenance cost.

Distributed ledger technologies (DLTs) are rewriting conventional notions of business transacting, creating fresh opportunities for value creation and capture. Using qualitative interview data as a primary resource, the proposed five-point model synthesizes these possibilities, demonstrating how they may lead to ?disruptive innovation.? A further conceptual model is subsequently provided with a view to assisting future problem solving in the area.