Open AccessPREPARATION OF DATA FOR FORECASTING AN ORDER IN THE ABSENCE OF INFORMATION FOR PAST PERIODS
Author(s) -
E.V. Savenko,
AUTHOR_ID
Publication year - 2021
Publication title -
izvestiâ samarskogo naučnogo centra rossijskoj akademii nauk
Language(s) - English
Resource type - Journals
ISSN - 1990-5378
DOI - 10.37313/1990-5378-2021-23-4-65-70
Subject(s) - analogy , production (economics) , order (exchange) , product (mathematics) , demand forecasting , econometrics , computer science , operations research , economics , engineering , microeconomics , finance , mathematics , philosophy , linguistics , geometry
Сompanies launching a new product on the market have a high level of uncertainty about the use of existing production facilities in future periods. Uncertainty about the use of existing production capacity in future periods arises from the lack of demand data for past periods. The use of forecasting methods based on historical statistics becomes impossible. The article provides an analysis of the structural analogy method used in the preparation of data to predict the pricing of the product under study. It is proposed to use relevant products as input data for forecasting demand.