| Summary: | 碩士 === 國立東華大學 === 運籌管理研究所 === 102 === With the high utilization of information technology nowadays, the diversity of consumed styles are wider than before. Instead of shopping in the physical store, people are getting used to shop in the online market and receive their purchased products at home now. The home delivery logistics has already become the powerful backing force of companies because of the wide range of applications in each industry. In the investigation made by the marketing research consultant company in 2011, the most attractive policy for the home delivery companies to attract the customers is to provide the service of “the customer can choose a specific arrival time slot ”. However, the biggest obstacle for the home delivery companies is the unbalance of the peak and off peak time slots. In the peak time slot, the high demand may result in the delivering delay of the products. Conversely, the low demand in the off peak time slot may result in the idol cost.
In our study, we try to investigate the management of home delivery service system integrated both the pricing and the auction mechanism. Through providing the customers to choose a specific time slot, the home delivery service providers can shift peak demand off peak time slot, enhance the utilization of the truck, decrease the redelivery cost, and decrease the average waiting time of the customers at the same time. Through the pricing model, the logistics providers can determine the posted price and the minimum acceptable price of each opening time slot. We can also assign the time slot to the bidders who will maximize the revenue through the auction model. In our study, we will also investigate the performance evaluation of different auction mechanisms. By adjusting the variables such as posted price, the minimum acceptable price, and the capacity of each time slot, we look forward to observing the reasons which will impact the value of expect revenue. On the other hand, we will also analyze the effect of reference price in customer’ behaviors on the shipping price that customers are willing to pay (anchoring effect). The relationship between the ratio of affected customer and the value of revenue is also investigated by sensitivity analysis.
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