Dynamic Pricing of Home Delivery Logistic by Bottleneck Model
|Keywords:||宅配物流;動態定價;瓶頸模式;home logistics;dynamic pricing;bottleneck model|
Over the past two decades, in view of the rapid development of global trade and economic development, people's life patterns gradually change, and consumption patterns have become more diversified. Among them, with the progress of Internet technology and the development of e-commerce, online shopping is creating a huge impact on consumer behavior; where the online shopping market share gradually surpasses and replaces the traditional shopping model. In recent years, more and more literature has been devoted to the question of how electronic retailers or home logistics industries can solve the problem of large peak demand differences through dynamic pricing. And with the rapid development of technology, the actual use of demand forecasting has increased and electronic retailers’ cost of altering product prices has decreased compared to the past. In addition, continuous improvement of decision-making tools also improved dynamic pricing’s practicality. In this study, first a complete analysis of the waiting system of the house logistics is done, and through this waiting system further extending it to three kinds of electronic consumer goods delivery behavior models, consisting of early receipt, on time receipt and delayed receipt of goods. After that, cost function of the waiting system is constructed, which includes the early cost, the delay cost and the waiting cost, and the equilibrium cost of the house logistics industry is derived through these three kinds of costs. Then, according to the principle of balanced cost conservation, the home logistics operators with the best charging model is constructed. In this study, a new cost selection method is provided depending on the behavior pattern of the home logistics industry, which in turn achieved different results. These results are valuable references which will greatly reduce errors caused by delays and can act closely to the actual operation of residential logistics situations.
|Appears in Collections:||Thesis|