Data mining on time series: an illustration using fast-food restaurant franchise data
Computational Statistics & Data Analysis
Commercial Use of Upc Scanner Data: Industry and Academic Perspectives
Marketing Science
Evolution of ARMA Demand in Supply Chains
Manufacturing & Service Operations Management
Management Science
Information Sharing in a Supply Chain Under ARMA Demand
Management Science
Agent-based demand forecast in multi-echelon supply chain
Decision Support Systems
Improved supply chain management based on hybrid demand forecasts
Applied Soft Computing
Forecasting Thailand's rice export: Statistical techniques vs. artificial neural networks
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
SKU demand forecasting in the presence of promotions
Expert Systems with Applications: An International Journal
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To investigate the applicability of ARIMA models in wholesale vegetable market models are built taking sales data of one perishable vegetable from Ahmedabad wholesales market in India. It is found that these models can be applied to forecast the demand with Mean Absolute Percentage Error MAPE in the range of 20%. This error is acceptable in fresh produce market where the demand and prices are highly unstable. The model is successfully validated using sales data of another vegetable from the same market. This model can facilitate the farmers and wholesalers in effective decision making.