Achieving profitability of the manufacturing sector in today’s business environment is directly related to accurate forecasting of demand products to satisfy the market. It is very important for business manager to plan resources, employees, production capacity etc. Demand forecasting provides a sense of directions that helps managers to make better decisions in many aspects of business. Prediction of demand almost is performed in face of uncertainty. Unfortunately, in existing studies demand prediction is considered on base of deterministic relationship between values of demand and independent variables as price and other input parameters. In some studies these relationship is extended to statistical and fuzzy information. Unfortunately, in these works reliability of information is not taken into consideration that leads to loss of information in obtained results. In this paper we investigate the problem of demand forecasting for manufacturing under information with partial reliability, namely Z–environment. Forecasting model is based on new approach – Z regression model.
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