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The Collaborative Planning, Forecasting and Replenishment (CPFR) is an application of Supply Chain Management concept in the retailing. In this paper, the collaborative forecasting process between retailers and manufacturers which is the core of CPFR is mainly discussed. A combination-forecasting model is created to improve forecasting accuracy and collaboration in CPFR process. Finally, the formulation...
Demand forecasting with minimum error is the key to success in supply chain management. There is no dearth of techniques used for forecasting demand in retail sale. The advent of data mining systems gives rise to the use of business intelligence in various domains of retailing. The current paper makes an attempt to capture the knowledge of classification of the customers using decision tree as an...
The rapid development of automobile industry in China promotes the stable growth of the automotive aftermarket. For optimizing supply chain operations and reducing costs, it is critical for a company to forecast the demands for auto spare parts in the future. This paper proposes an improved Regression-Bayesian-BBNN (RBBPNN) based model to realize the demands forecasting. Compared with a classic ARMA...
The principle and basic characteristics (no aftereffect and stability) of Markov chain, and the method of statistical forecast analysis of random phenomena were introduced, then s the product market forecasting before the establishment of the supply chain was studied, and a forecastable Markov model about the occupancy rate of market based on the stochastic process of occupancy rate of sale market...
An accurate demand forecasting model has both academic and practical significance to supply chain management for China's retail industry. In this paper, we proposed a novel demand forecasting model named SHEnSVM (Selective and Heterogeneous Ensemble of Support Vector Machines), in which the individual SVMs are trained by different samples generated by bootstrap algorithm and different parameters generated...
Firms often turn to supply chain management software to systematically standardize operations. But the challenge is that decision makers often find the software hard to master, say nothing of best utilizing the data provided. To input these data into Decision Support Systems (DSS) is a way to bridge the gap between management systems and decision makers. Wholesaler has been deemed as a part of the...
This paper features an advanced planning system (APS) in which the forecasts and customer demands are balanced to arrive at the netted forecast for the production system to produce purchase orders and production orders. The forecast process to collaborate the demand and the forecast is rarely considered in the planning and scheduling models. In this paper, a new decision support process for netting...
An accurate demand forecasting model has academic and practical significance to supply chain management for China's retail industry. In this paper, a novel demand forecasting model named WFSSVM (Wrapper Feature Selection optimized SVM) is proposed. Genetic algorithm based wrapper feature selection method is firstly employed to analyze the sales data of a kind product (including various kinds of brand)...
Textile and clothing industry is an important industry that exporting products and earning foreign exchange for China. However, the application of advanced management method, like supply chain management, is very little in Chinese textile and clothing enterprises. Aiming at this situation, this paper, according to the practical operational mode and the difference of products, discussed the purchasing...
This paper attempts to develop a joint decision model to determine the product variety (PV) decision with inventory control (IC) decision for multiple brands of a certain product for a centralized two-echelon distribution system with a general dealer and a retailer, in which the demand forecasting is taken into consideration and the impact of different statistical forecasting methods on decision results...
With the dynamic changes of apparel fashion trends, it's becoming difficult to match demand using traditional inventory control models, without stock out or opportunity loss. To treat this problem, supply contract models were proposed in past one decade, arguing that it performs better compared to newsvendor in all condition. However, we found that in some conditions, the supply contract model with...
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