International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 12 | Dec 2025
p-ISSN: 2395-0072
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The Conclusive Study of Simulation Techniques as a part of Operations Research and Simulation Language C++ Ashutosh Pawan1, Dr. Om Prakash Dubey2 1Research Scholar, Department of Computer Science, Veer Kunwar Singh University, Ara, Bhojpur, Bihar, India 2Assistant Professor, Department of Mathematics, JagJiwan College, Ara, Veer Kunwar Singh University, Ara,
Bhojpur, Bihar, India --------------------------------------------------------------------------***----------------------------------------------------------------------Abstract - In this paper, we attempt to draw a conclusion about the topics related to our study, as specifically operations
research, simulation, and simulation programming languages. The use of operations research nowadays can be felt in every aspect of life, like network scheduling, traffic, transportation, military operations, and many more areas. Simulation, being one of the techniques to optimize operations research problems and to formulate a system model, becomes an important area of study. A comprehensive literature review was conducted, covering key works in simulation, operations research, and simulation programming languages. Operations Research (OR) development phases were reviewed to understand the procedural basis for simulation modelling. This study adopts an interdisciplinary methodological framework, integrating mathematical operations research, computer science, and simulation theory. Various simulation classifications— deterministic vs. stochastic, continuous vs. discrete, and discrete-event models—were compared to determine appropriate modelling applications. By examining simulation methods, random-variable generation, and simulation programming languages, the research highlights how computational modeling enhances decision-making, system optimization, and realworld problem solving, offering insights and guidance for future simulation-based research and applications. This study uniquely integrates the mathematical foundations of Operations Research with the evolving landscape of simulation programming languages to present a unified interdisciplinary perspective. By linking classical simulation theory, modern SPLs, and computational modeling approaches, the work highlights conceptual advances, historical evolution, and methodological gaps. It offers a consolidated framework valuable for future researchers developing or applying simulationbased decision-support systems. Key words: Operations Research, Simulation, Computer Simulation Languages, Random Variable, Random Variate, Probability Distribution Function.
1. Introduction: During the research work, we found that simulation is not only a part of operational research in the subject of mathematics but also related to Physics, Economics, Management-Sciences, Education, and with the advent of computer technologies, it is being implemented in the form of many applications using the programming languages known as simulation programming languages (SPLs). Hence, when we found the topic of research to be an interdisciplinary topic, we aimed to have a conclusive study in this field so that we may mark the aspects, projects, and shortcomings of the research done earlier in this field and may come up with some suggestions that will certainly benefit the forthcoming researchers in this field. We have presented in this paper how simulation is being implemented using simulation programming languages by the use of computers to benefit the world and human beings.
Simulation as a part of Operations Research in the subject of Mathematics: Operations Research has a vast range of computer-oriented applications these days, as the approaches of Operations Research are applicable in business industries as well as the government sector, or both. The areas where operations research applications are useful are – Accounting, Construction, Facilities Planning, Finance, Marketing, Manufacturing, Human Resources, and others. Operations Research, being a part of mathematics, is also implemented in management to make appropriate decisions by optimizing the problem (Savage, 2003), Simulation is one of the tools and approaches of Operations Research. A number of existing literatures present a wide variety of diagrams and conceptual frameworks describing the essential stages of a simulation study, with each author offering a slightly different perspective. Notable contributions include those by Shannon (1975, 1998), Szymankiewicz et al. (1988), Hoover and Perry (1990), Ulgen (1991), Dietz (1992), Gogg and Mott (1992), Musselman (1992), Nordgren (1995), Law and Kelton (2000), and Banks et al.
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