کنترل بهینه

This article is the result of a research project in dynamic pricing and advertising to determine the number of sale tickets for a sporting or an entertainment event. For this purpose, a dynamic optimal control model was used to maximize the organizer's profit. To provide the best estimate, all potential variables and costs in ticket sales were considered. These included free ticket transfers, food and beverage sales, promotional goods, insurance, and other services (e.g., customer service) to ticket buyers. Using a piecewise continuous function (arrival intensity) we applied variables that are not controlled by organizers (e.g., impacts of seasonal change on demand) to determine the number of tickets for sale (capacity planning) and their dynamic and optimal price, considering the dynamic optimal advertising costs. Among the strengths of this study is the application of two piecewise continuous functions to analyze the effect of unsold tickets numbers on customers’ purchasing behavior. The impacts of such factors have not been studied in previous studies.

Companies must be able to preserve their customers and change them to the faithful ones. The automotive industry is one of the leading industries in the field of customer satisfaction. In this paper, based on a hierarchical analysis approach, customer satisfaction is formulated based on indicators after sale services, sale process, initial quality study, initial quality study, automotive performance execution and layout of the automobile industry. Also, by presenting an optimization model, the optimum customer satisfaction path from 1395 to 1404 is presented as a perspective for Iran Khodro, Saipa and Pars Khodro companies using an optimized control methodology, which is used to solve the MATLAB software. Finally, the cost of upgrading the customer satisfaction of the products of these companies for two consecutive years is 1396-1395. The results of the research show that the number of initial quality study has the most impact on customer satisfaction, which should be given more importance in the future planning of automobile companies as the most important control variable in order to improve the optimum route of customer satisfaction over the years to come.