The Master thesis present a novel approach to model a service supply chain with agent based simulation. Also, the case study of thesis is related to healthcare services and research problem includes facility location of healthcare centers in Vaasa region by considering the demand, resource units and service quality. Geographical information system is utilized for locating population, agent based simulation for patients and their illness status probability, and discrete event simulation for healthcare services modelling. Health centers are located on predefined sites based on managers' preference, then each patient based on the distance to health centers, move to the nearest point for receiving the healthcare services. For evaluating cost and services condition, various key performance indicators have defined in the modelling such as Number of patient in queue, patients waiting time, resource utilization, and number of patients ratio yielded by different of inflow and outflow. Healthcare managers would be able to experiment different scenarios based on changing number of resource units or location of healthcare centers, and subsequently evaluate the results without necessity of implementation in real life.
Supply chain management is an important function in the service delivery. It comprises of physical materials and tools needed as well as intangible operational parts. The process of designing service supply chains is a task combining the aspects of customer-server interaction, resourcing and service delivery. Operational and structure related decisions are evaluated by using key performance indicators. Agent based modelling (ABM) offers a possibility to simulate the behaviour of such system. Customers and servers can be modelled as agents obeying rules and operating in a common world. Interactions and events may occur based on agent type, geographic location or past events. ABM approach can answer what-if questions or test the limit conditions of a designed delivery system.
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