Aims and scope

Spectrum of Operational Research publishes high quality scientific papers that contribute significantly to the fields of operational research, management science and business analytics. Spectrum of Operational Research focuses on papers presenting new theoretical insights and developments as well as real-world case studies illustrating the implementation of operational research approaches in practice. Papers exploring the interactions of operational research and management science with other relevant disciplines such as information technology, computer science, artificial intelligence, soft computing and electronic services are of particular interest.

Spectrum of Operational Research covers all theoretical and applied forms of fuzzy sets and their extensions, such as:

  • intuitionistic fuzzy sets,
  • Pythagorean fuzzy sets,
  • Fermatean fuzzy sets,
  • q-rung orthopair fuzzy sets,
  • dual fuzzy sets,
  • connection number,
  • D- number,
  • picture fuzzy sets,
  • spherical fuzzy sets,
  • hesitant fuzzy sets,
  • m–polar fuzzy set, neutrosophic sets,
  • plithogenic set,
  • hypersoft set, etc. 

This is a unique feature of Spectrum of Operational Research compared to other existing OR journals, providing the means to explore new directions in operational research and management science research in an interdisciplinary context. Overview papers from eminent scientists in significant fields of operational research and management science and business analytics that review the state-of-the-art in these fields are also welcome. Papers illustrating applications of operational research to real problems are especially welcome.

Real applications of operational research: forecasting, inventory, investment, location, logistics, maintenance, marketing, economics, packing, purchasing, production, project management, reliability and scheduling;

A wide variety of environments - community operational research, education, energy, finance, government, health services, manufacturing industries, mining, sports, and transportation;

Technical approaches - decision support systems, expert systems, heuristics, networks, mathematical programming, multi-criteria decision methods, problems structuring methods, queues, and simulation.