Several Studies Of Supply Chain Ordering And Pricing Problems With Time-varying Demand

With the accelerated process of economic globalization and the increasingly fierce market competition, the personalization and diversification are extruded increasingly by the demands of users. Those factors force enterprises to adopt the advanced supply chain management to improve their supply chain operational efficiency and enhance the competitiveness in the market.This thesis studies the supply chain ordering and pricing problems based on the background of supply chain management, considering three cases with time-varying demand:the manufacturer dominants the supply chain, the retailer plays a leading role in the supply chain, and sales period is divided into three-stage non-cycle. The corresponding mathematical models are developed and some numerical examples are adopted to validate the models and results. The thesis is organized as follows:In chapter1, we introduce some preliminary concepts related to the supply chain and inventory, and present the literature review of the related work.In chapter2, taking into account the time of the impact of price and demand both in the form of nonlinear function, we study the problem of the stock and the purchase strategy in the supply chain system, which is consisted of one manufacturer and one retailer, and the manufacturer plays a dominant role in the supply chain. Through separately establishing the profit function models of the manufacturer and the retailer, we can derive the manufacturer’s optimal fixed price and the retailer’s optimal ordering quantity to maximize their profits. Profits of both sides of the supply and the demand over time are first increased and then decreased. Finally an example is adopted to validate the models.In chapter3, a scenario is considered in which the retailer dominates a two-echelon supply chain which consists of one retailer and some manufacturers, and the price of raw materials is a nonlinear function to time. We mainly develop the supply chain members’ profit models and derive the retailer’s optimal ordering quantity and retail price and the manufacturers’ optimal orders which they accepted to maximize their profits.In chapter4, we consider the pricing and ordering strategy on the non-periodic multi-stage with time-varying demand over a finite planning time, and develops a profit model when the demand is price and stock dependent, in which the firm can reset price to spur demand. The purpose is to maximize the profit by using the optimization to determine the optimal ordering quantity and the optimal prices. Finally some numerical examples are also adopted to validate the models. In chapter5, we present the conclusions and directions for further research.