Abstract
This paper explores the optimal number of unique jobs for an industrial enterprise by using computer simulations to reduce overall costs of creating and operating these jobs through staff remuneration optimization. The study utilizes the author's mathematical models of workers' behavior in a stimulating environment and optimization of the number of similar jobs used in industrial enterprises. The paper employs computational mathematics and computer modeling to analyze potential solutions for organizing unique workplaces. The study demonstrates that the estimated number of unique jobs can be reduced by increasing work shifts, hiring qualified workers, and offering incentive wage rates. The paper presents the results of model computational experiments on the optimal number of jobs for performing a given amount of work in two shifts under three scenarios: attracting workers with average market qualifications, attracting more qualified workers with wages under average market conditions, and attracting more qualified workers with wages at increased rates.