BUSINESS & “INDUSTRY 4.0”

Field Service Management (FSM) Simulation Model

  • 1 Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

Abstract

This work is dedicated to the development of a simulation model of a Field Service Management (FSM) system. Its tasks include modelling the management of the activities of employees of a field service company: maintaining requests, dispatching orders and field workers, monitoring the quality of work performed. The goals of developing a model of a FSM are to increase the speed of customer service, ensure the process of quality control of work performed, reduce transport and time costs, and provide field workers with the necessary information to understand the scope and location of work. All this leads to improved quality of technical support and service and, as a result, customer satisfaction.

Keywords

References

  1. Field Service Management Market by Component (Solution and Services), Organization Size (SMEs and Large Enterprises), Deployment Mode (On-premise and Cloud), Vertical, and Region – Global Forecast to 2026 – Markets and Markets. URL: https://www.marketsandmarkets.com/Market- Reports/field-service-management-market- 209977425.html
  2. Field Service Management Market Size & Share Analysis - Growth Trends & Forecasts (2023-2028). Mordor Intelligence. URL: https://www.mordorintelligence.com/industry-reports/field-service-management-market
  3. Brian Friedman. New Technologies Handle Field Service Management Challenges. Global Strategic Sales at Soft Clouds LLC. URL: https://www.linkedin.com/pulse/new-technologies-handle-field-service-management-brian-friedman
  4. Yogesh Choudhary.10 Biggest Field Service Management Challenges and How Leaders Address Them. Field Circle. URL: https://www.fieldcircle.com/blog/top-field-service-management-challenges
  5. Agent-based Computational Economics Online Course. Iowa State University. URL: https://www2.econ.iastate.edu/tesfatsi/ace.htm
  6. David Millan-Ruiz and Jose Ignacio Hidalgo-Perez. Workforce Distribution in Dynamic Multiagent Systems. – М.: Scholars' Press, 2014.
  7. Macal C. North M., Tutorial on agent-based modeling and simulation // Journal of Simulation. 2010. URL:http://www2.econ.iastate.edu/tesfatsi/ABMTutorial. MacalNorth.JOS2010.pdf
  8. José M. Vidal. Fundamentals of Multiagent Systems with NetLogo Examples. 2010. URL: https://jmvidal.cse.sc.edu/papers/mas.pdf
  9. OMG Unified Modeling Language (OMG UML), 2009. URL: www.omg.org/spec/UML/2.2/Superstructure/PDF
  10. ATEK. URL: https://atek.dev/research

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