关键词: 碳限额与交易政策, 变质品, 时变需求, 定价, 库存

Abstract: Based on cap-and-trade policy,the joint pricing and ordering strategies for deteriorating items over a finite planning horizon was investigated.Owing to the fact that the retailer could carry out multiple non-periodic replenishment during the finite planning horizon,the demand rate influenced by both selling price and time,and the shortages and partial backlogging were allowed.A joint pricing and inventory model for deteriorating items over a finite planning horizon under cap-and-trade policy was developed by taking the maximum total profit as the object.To solve the optimal order plan and pricing strategy,a two-stage iterative algorithm was designed by using the properties of classical Economic Order Quantity (EOQ) model and Nelder-Mead algorithm.Considering the different time-varying demand functions,three numerical examples were presented to illustrate the feasibility and effectiveness of the model and algorithm.The optimal strategy of carbon policy with the optimal strategy of carbon free constraints were compared,and the results showed that retailers would reduce their carbon emissions but increase their retail prices and reduce their order quantity and order frequency under the cap-and-trade policy.The sensitivity analysis on the major parameters of the proposed model was carried out.

Key words: cap-and-trade policy, deteriorating items, time-varying demand, pricing, inventory