Sharif Digital Repository

Using revenue management in any industry can increase the profit. In aviation industries, due to the huge number of requests and travels for each airline, a revenue management system can lead to a good profit for the airlines. The first step in revenue management system is predicting the demand.In this article two models are developed using time series techniques, based on the information taken from one of the Iranian airlines in Tehran-Mashhad fly route.The first model is developed using ARIMA and seasonal-ARIMA models and the second one is based on the demand and price history, price in the day of prediction and the ARIMA model. The second model which is a combination of price, prior price... 

Forecasting demand has always been one of the main challenges for large manufacturing companies, whose continuity of production and continued existence is closely tied to having a perspective and an image of the future demand for their products. Because the sudden and unexpected encounter with strong impulses on the demand side can cause irreparable damage to such companies. Large steel companies are among the companies whose demand forecasting can be considered as a key component in their profitability. On the other hand, governments also attach great importance to forecasting economic components such as demand and supply. With the help of forecasting, governments can more accurately... 

This research conducted to achieve a pragmatic approach for the demand forecasting of ICU beds which is the one of most important services are provided by hospitals and medical centers and always has been challenging associated with capacity planning in many countries. Attaining such a method, ICU patients identified and categorized according to patients age and duration of hospitalization period. Then, as a case study, demanded ICU beds in Iran's hospitals predicted for three time horizons in 2021, 2031 and 2041 by use of regression model to forecast the population of identified patient categories which was extracted from Iran's demographic data in a 30-year period. The results indicated... 

Demand forecasting has always been a concern for business owners as one of the main activities in supply chain management. Unlike the past that forecasting was carried out by means of limited amount of information, today, forecasting is performed using machine learning algorithms and data-driven methods with the advent of new technologies and data explosion. Patterns and trends of demand, customer information and preferences, comments and suggestions, post-consumption feedbacks are some types of data which are used in these approaches. Considering the all mentioned changes, traditional statistical methods and techniques such as time series analysis have bias in predicting these kind of data... 

Electricity consumption has increased dramatically in recent decades, and this increase has severely affected electricity distribution. Therefore, forecasting electricity demand can provide a precondition for distributors. Predicting power consumption requires many parameters to be considered.In this research, machine learning, and deep learning methods such as recursive neural networks, long short-term memory networks, etc., as well as the ARIMA model will be used. These models have been tested on the London Smart Measurement Database. In order to evaluate the capability of the models in forecasting electricity consumption, each has been used to predict the electricity consumption of a... 

Pricing plays an important and essential role in the profit and income of companies. The importance of pricing is not only related to its role in the company's profitability, but it also changes the customer's understanding and loyalty towards the company and can create the company's reputation or destroy it. Determining the right price will increase product sales and increase customer loyalty and create a competitive advantage for the company. One of the most important and influential variables in product pricing is the amount of demand. The main challenge of companies for product pricing is the uncertainty in their demand. In order to deal with this problem, data-driven pricing is used.... 

Demand estimation has always been one of the most important components of marketing in all industries. Because the profitability of any organization depends on the demand for the product or service that the organization offers to the market. On the other hand, in order to optimize the performance of the organization and better planning, we need to have an estimate of demand in order to avoid wasting the available facilities by optimally allocating resources. Another issue that shows the importance of demand estimation is the dependence of optimal pricing on the amount of demand, which can be said to be the most important tool of the organization to manage its revenue. Optimal pricing can be... 

Airports are one of the most important elements of the aviation system that provide the ground infrastructure that is required for enabling or flight across the globe. Master Planning is currently the dominant approach to airport strategic planning. However, history shows that this approach can often result in costly mistakes. Because there are many stakeholders with conflicting objectives, deep uncertainty about the future, and many potential strategies, planners often narrow their scope by using a single forecast for the future, leaving out alternative strategies, and excluding stakeholders, resulting in a Master Plan that quickly becomes obsolete and may be opposed by some stakeholders....