This study applies the Analytic Network Process (ANP) to forecast the sales volume of printers in Taiwan for adjusting the recycling and treatment fee as an incentive for recycling industries. When historical data are lacking and when a broad spectrum of social impact is involved, the ANP, with the capacity to manage dependence and feedback among the factors, can serve as a tool to forecast out...

Foreknowledge of demand is useful in the control of a production-inventory system. Knowing the customer orders in advance makes it possible to anticipate properly. It is an important condition to produce and deliver the right quantity of the right product “just-in-time”. It reduces the need of safety stock and spare capacity. But the question of the effectiveness of foreknowledge is not an easy...

The demand forecasting technique which is modeled by artificial intelligence approaches using artificial neural networks. The consumer product causers the difficulty in forecasting the future demand and the accuracy of the forecast In performance of the artificial neural network an advantage in a constantly changing business environment and demand forecasting an organization in order to make ri...

We consider the problem of choosing, from a set of N potential stock-keeping units (SKUs) in a retail category, K SKUs to be carried at each store to maximize revenue or profit. Assortments can vary by store, subject to a maximum number of different assortments. We view a SKU as a set of attribute levels and also model possible substitutions when a customer's first choice is not in the assortme...

In commodity-based industries, accurate sales forecast is very important for effective inventory management and decision-making. Univariate multivariate time series forecasting methods have been widely used to predict commodity sales. The purpose of this study make a comprehensive comparative analysis these two under the background forecast. Firstly, concept prediction its significance in field...

In many service industries, the firm adjusts the product price dynamically by taking into account the current product inventory and the future demand distribution. Because the firm can easily monitor the product inventory, the success of dynamic pricing relies on an accurate demand forecast. In this paper, we consider a situation where the firm does not have an accurate demand forecast, but can...

The sales proceeds are the most important factors for keeping alive profitable companies. So sales and budget sales are considered as important parameters influencing all other decision variables in an organization. Therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. In this research a coherent so...

The increasingly global operations and supply chains are significant. And the product life cycles are decreasingly shorter. Therefore, to rapidly react to global market immediately and accurately, and to cope with the increase in variability in the supply chains, many enterprises strive to share internal and external information devotedly. CPFR (Collaborative planning, forecasting and replenish...